CN106353356A - Device and method used for quantitative detection on processed material - Google Patents

Abstract

The invention relates to a handheld device and method for determining the degradation of at least one processed material relating to a provenance-known processed material. The handheld device comprises a handheld portable imaging device (HHID) and a controller, wherein the HHID is used for providing at least one phenotypic characteristic PC(phenotypic characteristic)PM of the at least one processed material; the controller is in communication with the HHID, so as to determine a degradation mark Q, wherein the Q is defined to be the function F of the PCKP and the PCPM: Q equals to F(PCPM and PCKP). If the PCPM equals to PCKP basically, the Q equals to a first preset value, and the processed material, about the provenance-known processed material, is certified; otherwise, if the PCPM is observably different from the PCKP, Q equals to a second preset value, and the degradation is determined according to the degradation mark Q.

Description

For carrying out to processed materials quantifying the apparatus and method of detection

Technical field

The present invention generally relates to the system of the quality of processed materials of measurement such as oil etc And method.

Background technology

The quality of the such as processed materials of oil or wine etc may in time or using process In change.For example, if aging under suitable condition, the quality of wine can improve.Cruelly It is exposed to the quality that air can damage wine；It is exposed to the oil that heat can destroy such as cooking oil etc.This Outward, the quality of processed material can be depending on the species of the fruit as raw material or plant, former material The original regional or national and many other factors of material.

Quality can also be affected by wrongdoing or fraud, such as using same type still Second-rate material is doped to processed materials, add artificial material in natural product to claiming Expect such as sugar or water or add the related still relatively inexpensive material of price.A kind of finally the showing of situation Example is that orange juice is added in orange juice, and the latter is costly.

In the case of cooking oil, when heated, oil hydrogenation, the carbon increasing the carbochain forming oil is former The number of the double bond between son.They can also decompose, and form shorter chain and form free radical. One effect of hydrogenation is so that the solidification temperature of oil is raised so that oil becomes solid or half admittedly at room temperature Body fat.Importantly, some falls in some hydrogenated products and catabolite in hydrogenated products Solution product is probably carcinogenic.

A collection of oil keeps the time of use longer, and the fraction of the catabolite in oil is bigger, and oily meeting The probability comprising significant percentage of carcinogen is bigger.

Therefore, oil reuse, in particular under high temperature culinary art oil reuse with when Between passage can become dangerous for the health of cook, and oily reuse very universal one A bit in country, for the catabolite in oil, especially carcinogenic tolerable injury level established standardses.

However, the detection of catabolite can be slow and time-consuming.However, the nmr of c-c singly-bound Frequency is significantly different than nuclear magnetic resonance, NMR (nmr) frequency of c=c double bond so that nmr can For distinguishing high saturated oils and low saturation hydrogenated oil and fat.

Therefore, long-term needs are provided for being determined the oxidation in oily sample using hand-held imaging device The equipment of amount and method.

Content of the invention

The purpose of the present invention is the open machined material for determining such as oil etc using nmr The system of the amount of oxidation in material.

Brief description

Realization for a better understanding of the present invention and its in practice, only passes through non-limiting showing now Example to describe multiple embodiments by reference to accompanying drawing, wherein:

Fig. 1 schematically shows the carcinogenic free radical that can be formed due to the hydrogenation of cooking oil；

Fig. 2 to Fig. 4 schematically shows the composition of the component of olive oil；

Fig. 5 depicts the method based on nmr analysis of oil；

The method that Fig. 6 schematically shows the source determining oil or other plant extract；

Fig. 7 a to Fig. 7 c shows the impact that the degraded of oil is composed to nmr；And

Fig. 8 a to Fig. 8 c schematically shows the system of the present invention.

Specific embodiment

Explained below is provided together with all chapters and sections of the present invention, so that any technology people of this area Member can use described invention, and proposes by the best mode implementing the present inventor's conception.So And, to those skilled in the art, various modifications will be it is clear that this be due to the present invention General Principle be specifically defined as to provide for determining oil using hand-held imaging device The apparatus and method of the amount of oxidation in sample.

Term " MR imaging apparatus " and " mrd " refer in the present invention using magnetic resonance with Just the equipment of the specific object of measurement of species.

The description of the operation of disclosed invention itself is claimed by term " Noninvasive " in the present invention For not affecting the described material just measuring and the general industry process not interrupting being related to described material.

Term " known source " refers in the present invention for non-limiting example: the source of material It is known species, the source of material is known subspecies or species, and the original area of raw material is known , the country of origin of raw material is known, and in processing, the age of raw material is known, in processing The front processing to raw material is known (for example, the condition of storage before processing), and raw material is processed The processing method becoming finished product is known, and is to the processing method of processed materials after processing (for example, the temperature of the persistent period of the heating of cooking oil and its holding) known and above appointing Meaning combination.

Term " about " hereinafter refers to the scope of value left and right 25%.

According to the preferred embodiment of the present invention, hand-held imaging device (hhid) includes magnetic resonance and becomes As equipment.Mrd includes: NMR (Nuclear Magnetic Resonance)-imaging (mri) spectrum meter, and this mri spectrum meter is used for making Sample stands the irradiation of radio frequency (rf) signal in the magnetic field being generated, and measurement is by described sample again The rf signal of secondary transmitting and the mri producing described sample；Based on controlling described mri spectrum Rf ripple generates and detects the computer processor of function；It is used for described computer processor for storage Machine instruction and the computer-readable for the storage information relevant with the measurement of described rf signal Medium (crm)；Numeral for the digital communication between described mrd and computer communication network Electronics connectivity port.

Preferably hhid includes mrd, however, hhid can include setting selected from the imaging of lower item Standby: infrared ray (ir) equipment, mrd, Fourier transform infrared line (ftir) equipment, camera, At least one photodetector and above combination in any.

Nmr quickly can provide to sample in the case of the preparation of relatively simple sample Biomolecule composition analysis.Nmr is logical for all molecules of comprising nmr active nucleus Use detector.For all molecules with proton, the intensity of all proton signals is rubbed with metabolite You are definitely directly proportional at concentration.By using suitable internal standard substance, the true of metabolite can be readily calculated Real concentration.Because nmr spectrometry is the physical characteristics based on compound, it has very high Repeatability.

The data obtaining from analysis method can be analyzed further by statistical method, so that from data Extract all possible information.Treat the accuracy of data that is further analyzed by statistical method and Correctness inevitably depends on the robustness of original analysis data collection.Nmr has very high Reliability, because different from based on the retention time in chromatographic technology, as long as in identical condition Measure at (field intensity, solvent, ph value and the temperature that are applied), in addition to indivedual exception, nmr In spectrum, the chemical deviation of each signal, coupling constant and integration will not change.Although the inside of nmr Sensitivity is relatively low, but the ability of the robustness of data and the metabolite covering wide scope has made Nmr can become preferably overall fingerprint profile tool.In addition to the advantage of data robustness, Ability in terms of the structural analyses of metabolite for the nmr is also that any other method is incomparable. Nmr has very long history in field of natural product chemistry as the instrument for structural analyses.Logical Cross using suitable data base, it can generate the data being capable of almost persistence.

As described below, the equipment of the present invention can be specifically for: oil specifically edible oil, Fruit juice, medicinal plants, the composition of Chinese medicine, the composition of other natural drugs, plant extract, medical herbs, Spice, coffee, tea, rubber, the food commercially produced and above combination in any.

Edible oil, specifically olive oil, and edible in the case that edible oil is used as cooking oil Degraded in oil will act as schematic example, but this exemplary use does not limit the model of the present invention Enclose.

Due to the heating of culinary art, used in culinary art, oil degrades over and hydrogenates.Degraded and hydrogenation The two can produce the carcinogenic degraded being generally associated with the double bond (Fig. 1) producing due to hydrogenation Product and carcinogenic free radical.Therefore, the reuse of oil, the especially reuse of prolongation, can become It is the health hazard for cook.

Many local a kind of common cooking oils are olive oil in the world.Olive oil is by triglyceride (more than 98%) and the accessory constituent (about 1% to 2%) such as angle that constitute oily not sponifiable part Zamene, alpha-tocopherol, plant sterol, phenolic compound, carotenoid and aliphatic and Terpenol forms.Table 1 shows the composition of typical olive oil, and Fig. 2 to Fig. 4 is schematically simultaneously Show the chemical geometry of the key component of olive oil.

Table 2: the composition of typical olive oil

Other common cooking oils include: Oleum Arachidis hypogaeae semen, walnut oil, rapeseed oil, almond oil, American Avocado Tree oil, Butter, Oleum Cocois, Semen Maydis oil, Oleum Gossypii semen, Semen Lini oil, butter, Oleum Vitis viniferae, hazelnut oil, Cannabis oil, Adeps Sus domestica, macadimia nut oil, margarine, mustard oil, Fructus Canarii albi Marc oil, Petiolus Trachycarpi oil, Semen Cucurbitae oil, Testa oryzae oil, safflower oil, Oleum sesami, soybean oil, Oleum Helianthi, Adeps Bovis seu Bubali, Oleum Camelliae, Vegetable shortenings and above combination in any.

Nmr composes¹h、¹³C and/or³¹P-nmr or²d-nmr.Preferably real Apply in mode, pass through¹H-nmr obtains spectrum.

Show in Fig. 5 for the catabolite in the processed materials of determination such as cooking oil etc Amount current techique.If measured¹h、¹³C and/or³¹The spectrum of p-nmr, then sample preparation (210) include providing the sample of proper volume in master sample support, and so that sample is reached Predetermined temperature.In some embodiments, the ph value of sample is adjusted to predetermined value.

If measured²D-nmr composes, then as be known in the art, as described above Put samples in sample support, balance to temperature and adjust ph value before, during or After person, using suitable technology, sample is carried out tritiated.Preferably, sample preparation is to be automatically performed 's.After the completion of preparation (210), measurement nmr spectrum, and in the case of necessary to nmr Spectrum is digitized and analyzes to determine for non-limiting example peak position, peak heights With peak area (220).Next step is spectrum execution multivariate data analysis (230) to analysis, Subsequently, in case of need, to data execution 2d nmr analysis (240).

Conventional high-resolution¹H and¹³The fatty acid that c nmr can be used in analyzing in oil seeds contains Amount, its typical total acquisition time is in terms of several minutes.Can also use and be based on¹H T2 (t₂) low resolution nmr, its total acquisition time is some seconds.

The phenotypic characteristic of processed materials can be selected, such as but not limited to: originate in area, country of origin, The source of described processed materials, non-impurity-doped, color, hydrogenation, ir spectrum, nmr spectrum, ftir Spectrum, the width at least one peak, the height at least one peak, the area at least one peak, at least one The wavelength at individual peak, the number at peak, the wavelength shift at least one peak, baseline height and above appointing Meaning combination.As described below, special in the selected one or more of phenotypes of processed materials Levy the identical one or more of phenotypic characteristic pc of pc and the processed materials in known source_kpIt Between can make and comparing.

In some embodiments, analysis is carried out by principal component analysiss (pca).At some Analyzed using principal component regression (pcr) and offset minimum binary (pls) in embodiment.Subsequently may be used To carry out at least one of the following: univariate analysiss (anova, Fisher's index and case must be schemed) With multivariant method (linear discriminant analysiss (lda) and partial least squares discriminant analysis (pls-da)). Data scaling can be used, including auto-scaling and pareto calibration.

Obtain in expectation in the original area of oil or the embodiment of type, it is possible to use enforcement mechanisms are known Other method can distinguish the classification mould of different types of oil and/or the oil from different regions to build Type.In such embodiment, can pass through under controlled conditions from can recognize that laboratory determines Difference the sample from known oil/area is tested.

In the case of execution qualitative analyses (250), result is checked to check degradable material Fraction whether be less than predetermined limit value (270), so that it is determined that whether oil can use.If degradable material Fraction more than predetermined limit value (280), then oil has become unavailable and must be dropped. If the fraction of degradable material (290) below predetermined limit value, oil remains available (290).

In the case of execution quantitative analyses (250), result can be further analyzed (260) To determine the property of (for indefiniteness example) catabolite, the source of oil and above any Combination, and can show or store the result (265) of quantitative analyses.Shown or stored Result can include the property of catabolite, the source of oil, the fraction of catabolite in sample, oil The fraction of natural constituents and above combination in any.Analysis type, analysis time, analysis Date, the temperature of sample, the type (in a situation of use where) of diluent, diluent amount ( In the case of use), the intensity in magnetic field and explanation can also be shown and/or be stored.

Proton nmr measurement can be used in detecting processed materials, for analyze related various Aspect.Subsequently, mathematical expectation can be defined for each sample.Meanwhile, identical measurement is permissible For quantifying to a series of important components.Reference data can be set up using obtained result Storehouse, enabling sample category to be analyzed in the future is grouped.Stoichiometry can be used The combination of statistic law and quantitative analyses is various off quality to detect.

For example, according to¹H-nmr compose, can easily identify many metabolite (aminoacid, phenol, Sugar, the organic acid related with tca).For the chemical shift position observed by each proton with certainly Rotation-spin coupling pattern is provided with regard to finding what kind of proton and subsequent proton in the molecule The information how to arrange.Furthermore it is possible to be readily calculated every in sample according to the integration of signal in spectrum The concentration of individual metabolite.Do not need as signal intensity is converted to concentration used in additive method Calibration curve.For the reproducible result obtaining with regard to concentration, following parameter is important that relaxation is prolonged Late, pulse width and acquisition time.

In measurement¹H-nmr time spectrum, one of problem is water signal, water signal be with sugared or sugared The huge signal being produced by the water remaining of end position anomeric proton (δ is 4.8 to the 5.2) overlap of glycosides. In order to suppress this undesirable water signal, if having applied drying method, for example, add paramagnetic from Son such as mg²⁺, it is followed by carr-purcell (cpmg) spin echo pulse program Meiboom-gill modification and the presaturation using additional pulse.However, when in the relaxation delay phase Between this is most common method it may occur that letter close to repressed water when applying presaturation technology The undesirable decline of number intensity.In order to avoid such undesirable suppression, select the temperature of sample With ph value so that water signal minimizes, because the temperature of sample and ph value consumingly affect water signal.

According to the molecular size of metabolite, specific pulse train can be applied.In order to future divides from childhood Signal and the signal from macromole of son separate, it is possible to use AB-crosslinked polymer difference.

In the case of the matrix comprising macromole (for example, protein or lipid vesicle), such as cmpg The unwanted resonance from macromole is realized in the application of the spin-echo sequence of pulse train etc Decay.However, it is any in the plant extract using different pulse train¹In h-nmr spectrum, There is the intensive signal of metabolite；As disclosed, multivariate data analysis can be used for area Divide the signal in complicated spectrum.

Fig. 6 is the schematic diagram how finding country of origin or originating in area.Press country or press Fructus Canarii albi kind Growing area is drawn and can be obtained from the multivariate analyses previously sample in known area being carried out in practice Data, with formation probability spheroid, a probable ellipsoid body corresponds to each country (word Female a to g).In figure 6, for clarity, these data are shown as being reduced to three-dimensional. Asterisk schematically shows the data from the multivariate analyses for single sample；The position of asterisk Represent that sample is probably derived from national d.

Fig. 7 a to Fig. 7 c shows the effect to the heating that oily sample is carried out.Fig. 7 a shows Sample before heating.Fig. 7 b shows 3 hours samples afterwards of heating at 165 DEG C, and schemes 7c shows the heating sample of 168 hours at 80 DEG C.Main peak (710) at chemical shift about 3.9 Substantially there is no heated impact, and the size of subsidiary maximum increases, especially chemical shift about 1.15 Place peak (720), its between Fig. 7 a and Fig. 7 b height almost double, and Fig. 7 b with Highly double between Fig. 7 c above, therefore illustrate: if nmr is tuned to chemical potential Move the frequency being about 1.15, then the ratio of (known) height at peak of the height at peak and untapped oil Value can estimate the amount of the degraded of oil.If nmr is tuned to known free radical or pre-free base (pre-radical) frequency, then can determine the fraction of the free radical of presence, and if freely Base or pre-free base are carcinogenic or deforming, then can determine carcinogenecity and the teratogenecity of sample.

Due to nmr by preset adjustment to preset frequency it is therefore desirable to machinery or electronics broadband or very To middle band mechanical tuning device, thus reducing the size of system.In some embodiments, system can be Desktop computer size；In a preferred embodiment, it can be hand-held, so that it can hold Change places carrying.

Due to both not having wide-band tuning and not having middle band tuning, therefore retuning software is also unnecessary , that further reduces the size of system and reduce the cost of system.

In some embodiments, there is hardware or software fine tuning mechanism, enable to be System carries out retuning to system in the case of having drifted about, and system is retuned to different operations Frequency (for example, for different types of oil) and above combination in any.

In a preferred embodiment, degraded or certification, fall can be determined by parameter q of degrading Solution parameter q is at least one phenotypic characteristic pc of processed materials_pmMachined material with known substance source At least one phenotypic characteristic pc of material_kpFunction:

Q=f (pc_pm,pc_kp)

Wherein q is defined such that for undegraded material or undoped p material, parameter q of degrading It is substantially equal to first predetermined value.

In the embodiment of measurement degraded, if q is more than second predetermined value, it is considered that Rapidoprint is unavailable.

In the embodiment of measurement certification, if q is less than predetermined value, processed materials are recognized Card.For non-limiting example, it is claimed area or country's (see below example 8) Product, or it comprises claimed raw material (participate in hereafter example 1 to example 7).

A kind of example of degraded parameter q is degraded parameter q that the ratio according to phenotypic characteristic determines:

$q=\underset{i=1}{\overset{n}{\σ}}\frac{{\left({\mathrm{pc}}_{pm}\right)}_i}{{\left({\mathrm{pc}}_{kp}\right)}_i}$

Wherein n is the number of the phenotypic characteristic included when determining degraded parameter.In this situation Under, for undegraded material, q=1.Certainly it is apparent that the inverse of this ratio is also A kind of example of degraded parameter q.

Another example of degraded parameter q is degraded parameter q that the ratio according to phenotypic parameter determines:

Wherein n is the number of the phenotypic characteristic included when determining degraded parameter.In this situation Under, for undegraded material, q=1.

Degraded parameter q another example be according to phenotypic characteristic between difference come the degraded parameter determining Q:

$q=\frac{1}{n}\underset{i=1}{\overset{n}{\σ}}|{\left({\mathrm{pc}}_{pm}\right)}_i-{\left({\mathrm{pc}}_{kp}\right)}_i|$

Wherein n is the number of the phenotypic characteristic included when determining degraded parameter.In this situation Under, for undegraded material, q=0.

Degraded parameter q another example be according to phenotypic characteristic between root-mean-square deviation determine degraded Parameter q:

$q=\frac{1}{n}\sqrt{\underset{i=1}{\overset{n}{\σ}}{\left({\mathrm{pc}}_{pm}\right)}_i^2-{\left({\mathrm{pc}}_{kp}\right)}_i^2}$

Wherein n is the number of the phenotypic characteristic included when determining degraded parameter.In this situation Under, for undegraded material, q=0.

Other examples of many of degraded parameter will be apparent to those skilled in the art.Such letter Number can including but not limited to be selected from following function: summing function, SUbtractive function, multiplication function, Division function, logarithmic function, polynomial function, exponential function, trigonometric function, hyperbolic functions, multiple Varying function, beta function, error function and above combination in any.

Reference picture 8a to Fig. 8 c, in one embodiment, the system of the present invention includes being tuned to The nmr (110) of single frequency, nmr (110) and computer control system (120) and sample Offer system communicates.Preferably, sample provides system is also computer controls.Sample provides system May include that the support (150) illustrating to meaning property as shown in figure 8 a, support (150) For single sample (160) being transported to the region-of-interest of nmr, keep sample during analysis This, and after an analysis sample is removed from it；Illustrate to meaning property as shown in figure 8b one is Row machinery can connect support member (180), and a series of machineries can connect support member (180) and be configured to Accommodating and convey multiple supports (150) makes multiple samples (160) can be transported to pass successively Note region, analyzed and be removed from region-of-interest, or meaning property ground shows as shown in fig. 8 c The conductance pipe (170) going out, conductance pipe (170) is used for continuously or in batches by the sample conveying of flowing By region-of-interest.

This system can also include printer (130), the communicator (140) to other equipment and system And above combination in any.

In some embodiments, printer can be printed for the label of the sample of processed materials, Label preferably includes the mark of the sample of processed materials, the sample of the processed materials in known source Mark, the phenotypic characteristic pc of processed materials_pm, known source processed materials phenotype special Levy pc_kp, degraded mark q, the image of processed materials, the figure of the processed materials in known source Picture, the spectrum of processed materials, the spectrum of the processed materials in known substance source, time and above any Combination.

Label can include bar code, picture, chart, diagram, symbol, text, date, time And above combination in any, wherein, any one in above-mentioned item can be the sample of processed materials The mark of the processed materials in this mark or the known place of production.

Print result can include bar code, picture, chart, diagram, symbol, text, the date, Time and above combination in any.Preferably, the result being printed includes uniquely knowing by sample Other result or the means of one group of result.

The combination in any of above-mentioned item can be stored in data base's (not shown), or by because of spy Net, it is sent to by network, by wire communication, by radio communication and above combination in any (140) another system or from another system transmission.

Communication agency is preferably two-way, and is configured to transmit the member selected from lower item: at least The phenotypic characteristic pc of one processed materials_pm, source known at least one processed materials table Type feature pc_kp, degraded parameter q, the image of at least one processed materials, known at least one The image of the processed materials in source, the spectrum of at least one processed materials, source known at least one The spectrum of processed materials, the mark of the sample of at least one processed materials, go out known at least one The mark of the sample of processed materials at place, time and above combination in any.

In some embodiments, the combination in any of above-mentioned item can be carried out storing, further analysis, Print and other data aggregates and above combination in any.

Output from equipment can be selected from: whether q, processed materials credible (be-no), plus Whether work material degrades (be-no), pc_kp、pc_pmAnd above combination in any.For presenting The mechanism of information can be selected from: shows the screen of at least one output；Print beating of at least one output Print machine；Store the data base of at least one output；The mike of at least one predetermined sound pattern is provided, Each acoustic pattern represents at least one output；Light, each optical mode of at least one optical mode are provided Represent at least one output, and above combination in any.

Optical mode can be selected from: the light with constant tone, the light of tone with change, has The light of constant brightness, the light of brightness with change and above combination in any.

A kind of non-limiting example assuming the light of output can be that green glow represents that cooking oil is still available, And HONGGUANG represents that oil has been degraded so that it is no longer available.Similarly, if a light lights, material Material is doping, and if second light lights, then material is substantially unadulterated.More examples Apparent to one skilled in the art.

Acoustic pattern can be selected from: the sound with constant tone, the sound of tone with change, The sound with constant loudness, the sound of loudness with change, monophonic sound, inclusion are multiple The sound of tone and above combination in any.

Although show the use of the system above by cooking oil, but this system can be used in There are other processed materials any of at least one nmr identifiable marker thing.Such machined The non-limiting example of material includes: the composition of fruit juice, Chinese medicine or other drugs, other plant extract Thing, flavouring agent, medical herbs, spice, coffee, tea, rubber and the food commercially produced.

In a preferred embodiment, this system is capable of identify that due to environmental condition or use condition such as temperature Degree, humidity or insecticide, mycete or bacterial invasion and the degraded of processed materials that produces or by The degraded producing in the passage of time.

In some embodiments, this system can be authenticated to processed materials.Such certification Original area, the source of checking processed materials for example verifying processed materials can be included, for Non-limiting example, the kind that processed materials are made from or the doping determining processed materials.

Although no matter where agricultural product grow, the key component of natural product all keeps identical, but The type of less and/or micro component may be different with amount, and this depends in weather and soil Trace element.Therefore.For example, in Fructus Vitis viniferae and the Portugal in the French same kind growing of Britain's growth The taste of grape may be different, although all of processing conditionss are all identicals, are made up of Britain's Fructus Vitis viniferae Wine and the taste of the wine being made up of French Grape are likely to different.

Similarly, the different mutation of the same species in natural product for the less and/or micro component Between can be different, and in maturation process and storage during less and/or micro Component can change.

As discussed above (referring to Fig. 6), in some embodiments, the equipment of the present invention can For distinguishing the processed materials from different regions or country.Similarly, in some embodiments In, it can be used for distinguishing the product of early harvest and the product of late harvest.In some embodiments In, it can be used for identifying condition of storage, especially may have unfavorable shadow to the quality of processed materials The storage condition ringing.

Doping can include adding one or more of artificial materials, adds from different less desirable Area processed materials, add the not processed materials in jljl source or dilution.The first situation One non-limiting example is that distilled vinegar is added in face cream vinegar, or Fructose is added to orange juice In.In second, a non-limiting example of situation is that Morocco's olive oil is added to Li Guliya olive In olive oil, because Li Guliya olive oil is legal producing region grade, and occupy 30% in the market Advantage.A kind of non-limiting example of the third situation is that orange juice (Citrus) is added to orange juice is (sweet Orange) in.Another non-limiting example of the third situation is to add water in fruit juice or milk.

Example

Example 1 Ilicis Purpureae

A kind of example is the research to Ilex.Analyze the Ilicis Purpureae of 11 kinds, 11 kinds Ilicis Purpureae be differentiable according to their metabolite, especially can be by paraguay tea (Paraguay's winter Blue or green) separate with its dopant region.The metabolite working be arbutin, Phenylpropanoid Glycosides, caffeine and Theobromine.Caffeine and theobromine exist only in Paraguay Ilicis Purpureae, and arbutin exists only in other In kind.

Example 2 Flos Chrysanthemi

Capitate research to Flos Chrysanthemi (Flos Matricariae chamomillae) shows that this technology can be used for different batches of assessment The secondary relative quantity spending middle stem material.

Example 3 Semen Strychni

Using the different piece (seed, root, leaf and bark) of the plant Semen Strychni product different to three kinds Plant and characterized.Metabolite based on all samples such as strychnine, loganin, Semen Strychni Icaja alkaloid (Yi Kajing, sungucine) and fatty acid, all samples are all significantly may be used Distinguish.

Example 4

For 12 Hemp Varieties, it is possible to use the following chemical combination for non-limiting example Thing kind is made a distinction: thca, cbda, glucose, agedoite and glutamic acid, with And above combination in any.

Example 5 Chinese medicine

Chinese medicine (tcm) is typically the mixture of some plants, and as in the medicine sold The component of various plants can be very different, because quality control regulation is tended to pay close attention to certain change The presence of compound or one group of compound and amount, rather than the main assembly of medicine.

Herba Ephedrae

Herba Ephedrae is widely used in Chinese medicine.However, the Herba Ephedrae Ephedra sinica of three kinds, middle fiber crops Yellow and ephedra equisetina is commonly used, and is interchangeably used, because usual law making fiber crops The amount (the 8% of dry weight) of yellow alkali.

However, it is possible to use the method for the system distinguishes Ephedra sinica, epheday intermedia and ephedra equisetina.Difference Feature includes amount and the type of both ephedrine and secondary metabolite benzoic acid analog.Example As, in nine tested commodity Herba Ephedrae materials, a mixture being shown as two kinds, Other include single kind.

Radix Ginseng

Radix Ginseng (Radix Ginseng (panax ginseng)) preparation is one of medical herbs of commonly using most.Radix Ginseng Product can be by the Radix Ginseng of all ages and classes (4 years, 5 years and 6 years) and by different processing (red and white) is made.Data is represented the fraction that can be existed by compound and distinguishes various Radix Ginseng systems Agent, compound is such as, but not limited to: alanine, arginine, fumaric acid, inositol and ginsenoside.

Radix Angelicae Sinensis

Two Angelica acutiloba subspecies for after tested: Angelica acutiloba (yamato-toki) and the North Sea are worked as Return (hokkai-toki), for their geographical position and their species, root is differentiable.

Herba Artemisiae Annuae

Two Herba Artemisiae Annuae kinds after tested: it is to distinguish that Herba Artemisiae annuae has shown with African Herba Artemisiae Annuae 's.

In further test, the content of the arteannuin in commercial product shows is claimed not with business With.

Other medicinal plants

Other medicinal plants differentiable include but is not limited to chryanthemum parthenium, piper meehysticum and St. John's's Fructus Hordei Germinatus Juice.

The doping of example 6 fruit juice

In the case of compared with reference standard, the concrete deviation of the concentration of particular compound or chemical combination The concrete deviation of the type spectrum of concrete combination of thing can be with characterization q＆r problem, as sugar Add.In some embodiments, the absolute concentration of compound in fruit juice can be known.These chemical combination Thing includes but is not limited to sucrose, glucose, Fructose, proline, alanine, 5 hydroxymethyl furfural (hmf), ethanol, methanol, acetone, root bark three acid, acetaldehyde, benzaldehyde, 3-Hydroxybutanone (acetoine), arbutin (arbutine), malic acid, citric acid, 1-Hydroxy-1,2,3-propanetricarboxylic acid., chlorogenic acid, Lactic acid, fumaric acid, quinic acid, succinic acid, citramalic acid, formic acid, benzoic acid, acetic acid, sorbic acid, Gluconic acid and galacturonic acid.Furthermore, it is possible to the relation between the concentration of the various compounds of calculating, such as The ratio of glucose and Fructose or the ratio of sucrose and total sugar.

Therefore, it is possible to detect fraud, such as but not limited to: sugar is added fruit juice, the processing of expendable enzyme (label: galacturonic acid), add citric acid or Fructus Citri Limoniae juice (for example, in Sucus Mali pumilae), Fructus Citri tangerinae Peel extract (label: root bark three acid) or (for example, high in Sucus Mali pumilae using immature fruit The quinic acid of concentration).

The species of fruit in example 7 fruit juice

In some embodiments, the species of fruit used in fruit juice can be known.Can distinguish The species of fruit includes but is not limited to: Fructus Mali pumilae, Fructus Citri tangerinae, Citrus, sour cherry, Fructus Ananadis comosi, Ribes nigrum L., Passifolra edulis, Fructus Citri Limoniae, grapefruit, Fructus Musae, Fructus Persicae, Fructus Rubi, Fructus Fragariae Ananssae, pears, Fructus Pruni, Fructus Mangifera Indicae, kind Punica granatum L., Radix Dauci Sativae, fruit of Ramulus Sambuci Williamsii, Punica granatum L. and Fructus Vitis viniferae.

A kind of fruit juice is uncommon with the doping of another kind of fruit juice, except orange juice (Fructus Citri sinensiss) and orange juice The situation that (Citrus) mix.The latter is typically more cheap, and therefore some companies are not having the feelings of statement It is added under condition in orange juice, this is illegal in Europe.It is difficult to detect Fructus Citri tangerinae using traditional analysis The interpolation in orange juice for the juice.But pass through the system, level is the detection of 10% or higher orange juice Should be feasible.

Example 8 distinguishes the source of fruit juice

In some embodiments, equipment can distinguish direct fruit juice and from the fruit juice concentrating.

In some embodiments, as discussed above with reference to Fig. 6, equipment can detect the former of fruit The place of production.

Elementary statistics method for such discriminating is pca (principal component analysis) and differentiates Analysis.By cross validation and Monte Carlo Analysis, accuracy can be checked.Determining After possible group distribution, verify sample by two steps.First, univariate analysiss by each Spectrum region-of-interest is compared with reference data set, and the deviation of detection compound concentration.Second side Method is the multivariate analyses based on pca/simca, inconspicuous in univariate analysiss for detecting Deviation.If two methods provide identical result, sample is consistent with model, is considered to represent Expected source, and successfully passed prescreening test.Do not need to sample in this case Tested further.

If however, the deviation with normality is detected, can be further analyzed.This non- Targetedly method is even more so that not previously known pollutant can be detected.

The estimation of the fruit content of example 9 fruit juice

Generally, by selected compound and mineral are carried out quantitative analysiss and by this tittle with Reference distribution compares the fruit content relatively to estimate fruit juice.By this equipment, can be in only one spectrum On the basis of measure hundreds of variables so that fruit content can be estimated using regression analyses.Test is Through display, in sample more than 95% sample, result has about 10% relative precision.

Claims (157)

1. a kind of handheld device of the degraded for determining at least one processed materials related to the processed materials in known source；By at least one phenotypic characteristic pc_kpTo characterize the processed materials in described known source, described handheld device includes:

A. handheld portable imaging device, for providing at least one phenotypic characteristic pc of at least one processed materials described_pm；

B. controller, described controller is communicated with described handheld portable imaging device, for determining degraded mark q；

Wherein, described q is defined as pc_pmAnd pc_kpFunction f:

Q=f (pc_pm,pc_kp)；

Wherein, if pc_pmIt is substantially equal to pc_kp, then q be equal to the first predefined value, and described processed materials are certified with regard to the processed materials in described known source；Otherwise

If pc_pmIt is markedly different from pc_kp, then q be equal to the second predefined value, and by described degraded mark q determine described degraded.

2. equipment according to claim 1, wherein, described handheld portable imaging device is selected from: infrared equipment, MR imaging apparatus, Fourier transform infrared line equipment, camera, at least one photodetector and above combination in any.

3. equipment according to claim 1, wherein, described pc_kpWith described pc_pmIt is selected from: originate in area, country of origin, the source of described processed materials, non-impurity-doped, color, hydrogenation, infrared spectrum, nuclear magnetic resoance spectrum, Fourier transform infrared line spectrum, the width at least one peak, the height at least one peak, the area at least one peak, the wavelength at least one peak, the number at peak, the wavelength shift at least one peak, baseline height, the title of country of origin, the title originating in area, other marks and above combination in any, described selection is for described pc_kpWith described pc_pmIt is identical.

4. equipment according to claim 1, wherein, described processed materials are selected from: oil, fruit juice, the composition of natural Chinese medicine, the composition of other natural drugs, plant extract, medical herbs, spice, coffee, tea, rubber, the food commercially produced and above combination in any.

5. equipment according to claim 4, wherein, described oil is edible oil.

6. equipment according to claim 5, wherein, described grease separation is from olive oil, Oleum Arachidis hypogaeae semen, walnut oil, rapeseed oil, almond oil, American Avocado Tree oil, butter, Oleum Cocois, Semen Maydis oil, Oleum Gossypii semen, Semen Lini oil, butter, Oleum Vitis viniferae, hazelnut oil, cannabis oil, Adeps Sus domestica, macadimia nut oil, margarine, mustard oil, Fructus Canarii albi Marc oil, Petiolus Trachycarpi oil, Semen Cucurbitae oil, Testa oryzae oil, safflower oil, Oleum sesami, soybean oil, Oleum Helianthi, Adeps Bovis seu Bubali, Oleum Camelliae, vegetable shortenings and above combination in any.

7. equipment according to claim 1, also includes at least one screen, and at least one screen described is suitable to show at least one in following item: described q, described pc_kp, described pc_pm, described first predefined value, described second predefined value, represent described q symbol, represent described pc_kpSymbol, represent described pc_pmSymbol, represent the symbol of described first predefined value, represent the symbol of described second predefined value and above combination in any.

8. equipment according to claim 7, wherein, described symbol is selected from: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

9. equipment according to claim 1, also includes at least one printer, and at least one printer described is suitable to print at least one in following item: described q, described pc_kp, described pc_pm, described first predefined value, described second predefined value, represent described q symbol, represent described pc_kpSymbol, represent described pc_pmSymbol, represent the symbol of described first predefined value, represent the symbol of described second predefined value and above combination in any.

10. equipment according to claim 9, wherein, described symbol is selected from: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

11. equipment according to claim 1, also include storing at least one data base of at least one in following item: described q, described pc_kp, described pc_pm, described first predefined value, described second predefined value, represent described q symbol, represent described pc_kpSymbol, represent described pc_pmSymbol, represent the symbol of described first predefined value, represent the symbol of described second predefined value and above combination in any.

12. equipment according to claim 11, wherein, described symbol is selected from: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

13. equipment according to claim 1, also include at least one mike providing at least one predetermined sound pattern, and each described acoustic pattern represents at least one in following item: described q, described pc_kp, described pc_pm, described first predefined value, described second predefined value, represent described q symbol, represent described pc_kpSymbol, represent described pc_pmSymbol, represent the symbol of described first predefined value, represent the symbol of described second predefined value and above combination in any.

14. equipment according to claim 13, wherein, described symbol is selected from: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

15. equipment according to claim 13, wherein, described acoustic pattern is selected from: the sound with constant tone, the sound of tone with change, the sound with constant loudness, the sound of loudness with change, monophonic sound, the sound including multiple tones and above combination in any.

16. equipment according to claim 13, wherein, if described q is equal to described first predefined value, send the first predefined acoustic pattern.

17. equipment according to claim 13, wherein, if described q is equal to described second predefined value, send the second predefined acoustic pattern.

18. equipment according to claim 1, also include at least one light source providing at least one predetermined optical mode；Each described optical mode represents at least one in following item: described q, described pc_kp, described pc_pm, described first predefined value, described second predefined value, represent described q symbol, represent described pc_kpSymbol, represent described pc_pmSymbol, represent the symbol of described first predefined value, represent the symbol of described second predefined value and above combination in any.

19. equipment according to claim 18, wherein, described symbol is selected from: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

20. equipment according to claim 18, wherein, described optical mode is selected from: the light with constant tone, the light of tone with change, the light with constant brightness, the light of brightness with change and above combination in any.

21. equipment according to claim 18, wherein, if described q is equal to described first predetermined value, send the first predefined optical mode.

22. equipment according to claim 18, wherein, if described q is equal to described second predetermined value, send the second predefined optical mode.

23. equipment according to claim 1, wherein, described equipment also includes two-way communication mechanism, and described two-way communication mechanism is wired or wireless and is configured to transmit the member of following item: the described phenotypic characteristic pc of at least one processed materials described_pm, described source known at least one processed materials described phenotypic characteristic pc_kp, described q, described first predefined value, described second predefined value, the handheld portable imaging device image of at least one processed materials described, the handheld portable imaging device image of the processed materials in described source known at least one, the spectrum of at least one processed materials described, the spectrum of the processed materials in described source known at least one, the mark of at least one processed materials described, the mark of the processed materials in described source known at least one, time and above combination in any.

24. equipment according to claim 1, wherein, at least one phenotypic characteristic (pc according to described processed materials_pm)_iWith at least one phenotypic characteristic (pc described in the processed materials in described known source_kp)_iBetween ratio calculating f；Q is defined as:

Wherein n is the number of the phenotypic characteristic included when determining q, for undegraded material, q=1；I is greater than or equal to 1 and the integer less than or equal to n.

25. equipment according to claim 1, wherein, at least one phenotypic characteristic (pc according to described processed materials_pm)_iWith at least one phenotypic characteristic (pc described in the processed materials in described known source_kp)_iBetween ratio calculating f；Q is defined as:

Wherein n is the number of the phenotypic characteristic included when determining q, for undegraded material, q=1；I is greater than or equal to 1 and the integer less than or equal to n.

26. equipment according to claim 1, wherein, at least one phenotypic characteristic (pc according to described processed materials_pm)_iWith at least one phenotypic characteristic (pc described in the processed materials in described known source_kp)_iBetween difference calculating f；Q is defined as:

Wherein n is the number of the phenotypic characteristic included when determining q, for undegraded material, q=0；I is greater than or equal to 1 and the integer less than or equal to n.

27. equipment according to claim 1, wherein, at least one phenotypic characteristic (pc according to described processed materials_pm)_iWith at least one phenotypic characteristic (pc described in the processed materials in described known source_kp)_iBetween root-mean-square deviation calculating f；Q is defined as:

Wherein n is the number of the phenotypic characteristic included when determining degraded parameter, for undegraded material, q=0；I is greater than or equal to 1 and the integer less than or equal to n.

28. equipment according to claim 1, wherein, f: summing function, SUbtractive function, multiplication function, division function, logarithmic function, polynomial function, exponential function, trigonometric function, hyperbolic functions, complex function, beta function, error function and above combination in any are calculated according to the mathematical function selected from following item.

A kind of 29. handheld devices of the degraded for determining the cooking oil related to the cooking oil in known source；By at least one phenotypic characteristic pc_kpTo characterize the cooking oil in described known source, described handheld device includes:

A. handheld portable imaging device, for providing at least one phenotypic characteristic pc of at least one described cooking oil_co；

B. controller, described controller is communicated with described handheld portable imaging device, for determining degraded mark q；

Wherein, described q is pc_coAnd pc_kpFunction f:

Q=f (pc_co,pc_kp)；

Wherein, if pc_coIt is substantially equal to pc_kp, then q be equal to the first predefined value, and described processed materials are certified with respect to the processed materials in described known source；Otherwise

If pc_coIt is markedly different from pc_kp, then q be equal to the second predefined value, and by described degraded mark determine described degraded.

30. equipment according to claim 29, wherein, described handheld portable imaging device is selected from: infrared equipment, MR imaging apparatus, Fourier transform infrared line equipment, camera, at least one photodetector and above combination in any.

31. equipment according to claim 29, wherein, described pc_kpWith described pc_coIt is selected from: originate in area, country of origin, the source of described processed materials, non-impurity-doped, color, hydrogenation, infrared spectrum, nuclear magnetic resoance spectrum, Fourier transform infrared line spectrum, the width at least one peak, the height at least one peak, the area at least one peak, the wavelength at least one peak, the number at peak, the wavelength shift at least one peak, baseline height and above combination in any, described selection is for described pc_kpWith described pc_coIt is identical.

32. equipment according to claim 29, wherein, described cooking oil is selected from: olive oil, Oleum Arachidis hypogaeae semen, walnut oil, rapeseed oil, almond oil, American Avocado Tree oil, butter, Oleum Cocois, Semen Maydis oil, Oleum Gossypii semen, Semen Lini oil, butter, Oleum Vitis viniferae, hazelnut oil, cannabis oil, Adeps Sus domestica, macadimia nut oil, margarine, mustard oil, Fructus Canarii albi Marc oil, Petiolus Trachycarpi oil, Semen Cucurbitae oil, Testa oryzae oil, safflower oil, Oleum sesami, soybean oil, Oleum Helianthi, Adeps Bovis seu Bubali, Oleum Camelliae, vegetable shortenings and above combination in any.

33. equipment according to claim 29, also include at least one screen, and at least one screen described is suitable to show at least one in following item: described q, described pc_kp, described pc_co, described first predefined value, described second predefined value, represent described q symbol, represent described pc_kpSymbol, represent described pc_coSymbol, represent the symbol of described first predefined value, represent the symbol of described second predefined value and above combination in any.

34. equipment according to claim 33, wherein, described symbol is selected from: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

35. equipment according to claim 29, also include at least one printer, and at least one printer described is suitable to print at least one in following item: described q, described pc_kp, described pc_co, described first predefined value, described second predefined value, represent described q symbol, represent described pc_kpSymbol, represent described pc_coSymbol, represent the symbol of described first predefined value, represent the symbol of described second predefined value and above combination in any.

36. equipment according to claim 35, wherein, described symbol is selected from: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

37. equipment according to claim 29, also include storing at least one data base of at least one in following item: described q, described pc_kp, described pc_coAnd above combination in any.

38. equipment according to claim 37, wherein, described symbol is selected from: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

39. equipment according to claim 29, also include at least one mike providing at least one predetermined sound pattern, and each described acoustic pattern represents at least one in following item: described q, described pc_kp, described pc_coAnd above combination in any.

40. equipment according to claim 39, wherein, described symbol is selected from: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

41. equipment according to claim 39, wherein, described acoustic pattern is selected from: the sound with constant tone, the sound of tone with change, the sound with constant loudness, the sound of loudness with change, monophonic sound, the sound including multiple tones and above combination in any.

42. equipment according to claim 39, wherein, if described q is equal to described first predefined value, send the first predefined acoustic pattern.

43. equipment according to claim 39, wherein, if described q is equal to described second predefined value, send the second predefined acoustic pattern.

44. equipment according to claim 29, also include at least one light source providing at least one predetermined optical mode；Each described optical mode represents at least one in following item: described q, described pc_kp, described pc_coAnd above combination in any.

45. equipment according to claim 44, wherein, described symbol is selected from: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

46. equipment according to claim 44, wherein, described optical mode is selected from: the light with constant tone, the light of tone with change, the light with constant brightness, the light of brightness with change and above combination in any.

47. equipment according to claim 44, wherein, if described q is equal to described first predetermined value, send the first predefined optical mode.

48. equipment according to claim 44, wherein, if described q is equal to described second predetermined value, send the second predefined optical mode.

49. equipment according to claim 29, wherein, described equipment also includes two-way communication mechanism, and described two-way communication mechanism is wired or wireless and is configured to transmit the member selected from lower item: the described phenotypic characteristic pc of at least one processed materials described_co, described source known at least one processed materials phenotypic characteristic pc_kp, described q, described first predefined value, described second predefined value, the handheld portable imaging device image of at least one processed materials described, the handheld portable imaging device image of the processed materials in described source known at least one, the spectrum of at least one processed materials described, the spectrum of the processed materials in described source known at least one, the mark of at least one processed materials described, the mark of the processed materials in described source known at least one, time and above combination in any.

50. equipment according to claim 29, wherein, at least one phenotypic characteristic (pc according to described processed materials_co)_iWith at least one phenotypic characteristic (pc described in the processed materials in described known source_kp)_iBetween ratio calculating f；Q is defined as:

Wherein n is the number of the phenotypic characteristic included when determining q, for undegraded material, q=1；I is greater than or equal to 1 and the integer less than or equal to n.

51. equipment according to claim 29, wherein, at least one phenotypic characteristic (pc according to described processed materials_co)_iWith at least one phenotypic characteristic (pc described in the processed materials in described known source_kp)_iBetween ratio calculating f；Q is defined as:

Wherein n is the number of the phenotypic characteristic included when determining q, for undegraded material, q=1；I is greater than or equal to 1 and the integer less than or equal to n.

52. equipment according to claim 29, at least one phenotypic characteristic (pc according to described processed materials_co)_iWith at least one phenotypic characteristic (pc described in the processed materials in described known source_kp)_iBetween difference calculating f；Q is defined as:

Wherein n is the number of the phenotypic characteristic included when determining q, for undegraded material, q=0；I is greater than or equal to 1 and the integer less than or equal to n.

53. equipment according to claim 29, at least one phenotypic characteristic (pc wherein according to described processed materials_co)_iWith at least one phenotypic characteristic (pc described in the processed materials in described known source_kp)_iBetween root-mean-square deviation calculating f；Q is defined as:

Wherein n is the number of the phenotypic characteristic included when determining degraded parameter, for undegraded material, q=0；I is greater than or equal to 1 and the integer less than or equal to n.

54. equipment according to claim 29, wherein, f: summing function, SUbtractive function, multiplication function, division function, logarithmic function, polynomial function, exponential function, trigonometric function, hyperbolic functions, complex function, beta function, error function and above combination in any are calculated according to the mathematical function selected from following item.

A kind of 55. handheld devices of the degraded for determining the olive oil related to the olive oil in known source；By at least one phenotypic characteristic pc_kpTo characterize the olive oil in described known source, described handheld device includes:

A. handheld portable imaging device, for providing at least one phenotypic characteristic pc of at least one olive oil described_oo；

B. controller, described controller is communicated with described handheld portable imaging device, for determining degraded mark q；

Wherein, described q is pc_ooAnd pc_kpFunction f:

Q=f (pc_oo,pc_kp)；

Wherein, if pc_ooIt is substantially equal to pc_kp, then q be equal to the first predefined value, and described processed materials are certified with respect to the processed materials in described known source；Otherwise

If pc_ooIt is markedly different from pc_kp, then q be equal to the second predefined value, and by described degraded mark q determine described degraded.

56. equipment according to claim 55, wherein, described handheld portable imaging device is selected from: infrared equipment, MR imaging apparatus, Fourier transform infrared line equipment, camera, at least one photodetector and above combination in any.

57. equipment according to claim 55, wherein, described pc_kpWith described pc_ooIt is selected from: originate in area, country of origin, the source of described processed materials, non-impurity-doped, color, hydrogenation, infrared spectrum, nuclear magnetic resoance spectrum, Fourier transform infrared line spectrum, the width at least one peak, the height at least one peak, the area at least one peak, the wavelength at least one peak, the number at peak, the wavelength shift at least one peak, baseline height and above combination in any, described selection is for described pc_kpWith described pc_ooIt is identical.

58. equipment according to claim 55, also include at least one screen, and at least one screen described is suitable to show at least one in following item: described q, described pc_kp, described pc_oo, described first predefined value, described second predefined value, represent described q symbol, represent described pc_kpSymbol, represent described pc_ooSymbol, represent the symbol of described first predefined value, represent the symbol of described second predefined value and above combination in any.

59. equipment according to claim 58, wherein, described symbol is selected from: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

60. equipment according to claim 55, also include at least one printer, and at least one printer described is suitable to print at least one in following item: described q, described pc_kp, described pc_oo, described first predefined value, described second predefined value, represent described q symbol, represent described pc_kpSymbol, represent described pc_ooSymbol, represent the symbol of described first predefined value, represent the symbol of described second predefined value and above combination in any.

61. equipment according to claim 60, wherein, described symbol is selected from: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

62. equipment according to claim 55, also include at least one data base, and at least one data base described is suitable to store at least one in following item: described q, described pc_kp, described pc_oo, described first predefined value, described second predefined value, represent described q symbol, represent described pc_kpSymbol, represent described pc_ooSymbol, represent the symbol of described first predefined value, represent the symbol of described second predefined value and above combination in any.

63. equipment according to claim 55, also include at least one mike providing at least one predetermined sound pattern, and each described acoustic pattern represents at least one in following item: described q, described pc_kp, described pc_oo, described first predefined value, described second predefined value, represent described q symbol, represent described pc_kpSymbol, represent described pc_ooSymbol, represent the symbol of described first predefined value, represent the symbol of described second predefined value and above combination in any.

64. equipment according to claim 63, wherein, described symbol is selected from: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

65. equipment according to claim 63, wherein, described acoustic pattern is selected from: the sound with constant tone, the sound of tone with change, the sound with constant loudness, the sound of loudness with change, monophonic sound, the sound including multiple tones and above combination in any.

66. equipment according to claim 63, wherein, if described q is equal to described first predefined value, send the first predefined acoustic pattern.

67. equipment according to claim 63, wherein, if described q is equal to described second predefined value, send the second predefined acoustic pattern.

68. equipment according to claim 55, also include at least one light source providing at least one predetermined optical mode；Each described optical mode represents at least one in following item: described q, described pc_kp, described pc_oo, described first predefined value, described second predefined value, represent described q symbol, represent described pc_kpSymbol, represent described pc_ooSymbol, represent the symbol of described first predefined value, represent the symbol of described second predefined value and above combination in any.

69. equipment according to claim 68, wherein, described symbol is selected from: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

70. equipment according to claim 68, wherein, described optical mode is selected from: the light with constant tone, the light of tone with change, the light with constant brightness, the light of brightness with change and above combination in any.

71. equipment according to claim 68, wherein, if described q is equal to described first predetermined value, send the first predefined optical mode.

72. equipment according to claim 68, wherein, if described q is equal to described second predetermined value, send the second predefined optical mode.

73. equipment according to claim 55, wherein, described equipment also includes two-way communication mechanism, and described two-way communication mechanism is wired or wireless and is configured to transmit the member selected from lower item: the described phenotypic characteristic pc of at least one olive oil described_oo, described source known at least one olive oil phenotypic characteristic pc_kp, described q, described first predefined value, described second predefined value, the handheld portable imaging device image of at least one olive oil described, the handheld portable imaging device image of olive oil in described source known at least one, the mark of at least one olive oil described, the mark of olive oil in described source known at least one, time and above combination in any.

74. equipment according to claim 55, wherein, at least one phenotypic characteristic (pc according to described processed materials_oo)_iWith at least one phenotypic characteristic (pc described in the processed materials in described known source_kp)_iBetween ratio calculating f；Q is defined as:

Wherein n is the number of the phenotypic characteristic included when determining q, for undegraded material, q=1；I is greater than or equal to 1 and the integer less than or equal to n.

75. equipment according to claim 55, wherein, at least one phenotypic characteristic (pc according to described processed materials_oo)_iWith at least one phenotypic characteristic (pc described in the processed materials in described known source_kp)_iBetween ratio calculating f；Q is defined as:

Wherein n is the number of the phenotypic characteristic included when determining q, for undegraded material, q=1；I is greater than or equal to 1 and the integer less than or equal to n.

76. equipment according to claim 55, at least one phenotypic characteristic (pc according to described processed materials_oo)_iWith at least one phenotypic characteristic (pc described in the processed materials in described known source_kp)_iBetween difference calculating f；Q is defined as:

Wherein n is the number of the phenotypic characteristic included when determining q, for undegraded material, q=0；I is greater than or equal to 1 and the integer less than or equal to n.

77. equipment according to claim 55, at least one phenotypic characteristic (pc wherein according to described processed materials_oo)_iWith at least one phenotypic characteristic (pc described in the processed materials in described known source_kp)_iBetween root-mean-square deviation calculating f；Q is defined as:

Wherein n is the number of the phenotypic characteristic included when determining degraded parameter, for undegraded material, q=0；I is greater than or equal to 1 and the integer less than or equal to n.

78. equipment according to claim 55, wherein, f: summing function, SUbtractive function, multiplication function, division function, logarithmic function, polynomial function, exponential function, trigonometric function, hyperbolic functions, complex function, beta function, error function and above combination in any are calculated according to the mathematical function selected from following item.

A kind of 79. nursing standard methods of the degraded for determining at least one processed materials related to the processed materials in known source, comprising:

A. at least one phenotypic characteristic pc of the processed materials in source known at least one described in specifying_kp；

B., handheld portable imaging device is provided；

C. described processed materials are imaged to provide at least one phenotypic characteristic pc of at least one processed materials described_pm；

D. degraded is determined by degraded mark q；

Wherein, described q is pc_pmAnd pc_kpFunction f:

Q=f (pc_pm,pc_kp)；

Wherein, if pc_pmIt is substantially equal to pc_kp, then q be equal to the first predefined value, and described processed materials are certified with regard to the processed materials in described known source；Otherwise

If pc_pmIt is markedly different from pc_kp, then q is equal to the second predefined value.

80. methods according to claim 79, also include the step selecting described handheld portable imaging device from following item: infrared equipment, MR imaging apparatus, Fourier transform infrared line equipment, camera, at least one photodetector and above combination in any.

81. methods according to claim 79, also include selecting described pc from following item_kpWith described pc_pmStep: originate in area, country of origin, the source of described processed materials, non-impurity-doped, color, hydrogenation, infrared spectrum, nuclear magnetic resoance spectrum, Fourier transform infrared line spectrum, the width at least one peak, the height at least one peak, the area at least one peak, the wavelength at least one peak, the number at peak, the wavelength shift at least one peak, baseline highly and above combination in any, described selection is for described pc_kpWith described pc_pmIt is identical.

82. methods according to claim 79, also include the step selecting described processed materials from following item: oil, fruit juice, the composition of natural Chinese medicine, the composition of other natural drugs, plant extract, medical herbs, spice, coffee, tea, rubber, the food commercially produced and above combination in any.

83. methods described in 2 according to Claim 8, also include the step that described grease separation is selected as edible oil.

84. methods described in 3 according to Claim 8, also include the step selecting described oil from following item: olive oil, Oleum Arachidis hypogaeae semen, walnut oil, rapeseed oil, almond oil, American Avocado Tree oil, butter, Oleum Cocois, Semen Maydis oil, Oleum Gossypii semen, Semen Lini oil, butter, Oleum Vitis viniferae, hazelnut oil, cannabis oil, Adeps Sus domestica, macadimia nut oil, margarine, mustard oil, Fructus Canarii albi Marc oil, Petiolus Trachycarpi oil, Semen Cucurbitae oil, Testa oryzae oil, safflower oil, Oleum sesami, soybean oil, Oleum Helianthi, Adeps Bovis seu Bubali, Oleum Camelliae, vegetable shortenings and above combination in any.

85. methods according to claim 79, also include showing the step of at least one in following item by least one screen: described q, described pc_kp, described pc_pm, described first predefined value, described second predefined value, represent described q symbol, represent described pc_kpSymbol, represent described pc_pmSymbol, represent the symbol of described first predefined value, represent the symbol of described second predefined value and above combination in any.

86. methods described in 5 according to Claim 8, also include the step selecting described symbol from following item: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

87. methods according to claim 79, also include being printed the step of at least one in following item by means of at least one printer: described q, described pc_kp, described pc_pm, described first predefined value, described second predefined value, represent described q symbol, represent described pc_kpSymbol, represent described pc_pmSymbol, represent the symbol of described first predefined value, represent the symbol of described second predefined value and above combination in any.

88. methods described in 7 according to Claim 8, also include the step selecting described symbol from following item: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

89. methods according to claim 79, are additionally included in the step of at least one in following item for the storage at least one data base: described q, described pc_kp, described pc_pm, described first predefined value, described second predefined value, represent described q symbol, represent described pc_kpSymbol, represent described pc_pmSymbol, represent the symbol of described first predefined value, represent the symbol of described second predefined value and above combination in any.

90. methods described in 9 according to Claim 8, also include the step selecting described symbol from following item: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

91. methods according to claim 79, also include the step sending at least one predetermined sound pattern by least one mike, and each described acoustic pattern represents at least one in following item: described q, described pc_kp, described pc_pm, described first predefined value, described second predefined value, represent described q symbol, represent described pc_kpSymbol, represent described pc_pmSymbol, represent the symbol of described first predefined value, represent the symbol of described second predefined value and above combination in any.

92. the method according to claim 91, also include the step selecting described symbol from following item: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

93. methods according to claim 91, also include the step selecting described acoustic pattern from following item: the sound with constant tone, the sound of tone with change, the sound with constant loudness, the sound of loudness with change, monophonic sound, the sound including multiple tones and above combination in any.

94. methods according to claim 91, further comprising the steps of: if described q is equal to described first predefined value, to send the first predefined acoustic pattern.

95. methods according to claim 91, further comprising the steps of: if described q is equal to described second predefined value, to send the second predefined acoustic pattern.

96. methods according to claim 79, also include the step sending at least one predetermined optical mode by least one light source；Each described optical mode represents at least one in following item: described q, described pc_kp, described pc_pm, described first predefined value, described second predefined value, represent described q symbol, represent described pc_kpSymbol, represent described pc_pmSymbol, represent the symbol of described first predefined value, represent the symbol of described second predefined value and above combination in any.

97. the method according to claim 96, also include the step selecting described symbol from following item: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

98. methods according to claim 96, also include the step selecting described optical mode from following item: the light with constant tone, the light of tone with change, the light with constant brightness, the light of brightness with change and above combination in any.

99. methods according to claim 96, further comprising the steps of: if described q is equal to described first predefined value, to send the first predefined optical mode.

100. methods according to claim 96, further comprising the steps of: if described q is equal to described second predefined value, to send the second predefined optical mode.

101. methods according to claim 79, also include the step providing two-way communication mechanism, described two-way communication mechanism is member that is wired or wireless and transmitting following item: the described phenotypic characteristic pc of at least one processed materials described_pm, described source known at least one processed materials phenotypic characteristic pc_kp, described q, described first predefined value, described second predefined value, the handheld portable imaging device image of at least one processed materials described, the handheld portable imaging device image of the processed materials in described source known at least one, the spectrum of at least one processed materials described, the spectrum of the processed materials in described source known at least one, the mark of at least one processed materials described, the mark of the processed materials in described source known at least one, time and above combination in any.

102. methods according to claim 79, also include at least one phenotypic characteristic (pc according to described processed materials_pm)_iWith at least one phenotypic characteristic (pc described in the processed materials in described known source_kp)_iBetween the step to calculate f for the ratio；Q is defined as:

Wherein n is the number of the phenotypic characteristic included when determining q, for undegraded material, q=1；I is greater than or equal to 1 and the integer less than or equal to n.

103. methods according to claim 79, also include at least one phenotypic characteristic (pc according to described processed materials_pm)_iWith at least one phenotypic characteristic (pc described in the processed materials in described known source_kp)_iBetween the step to calculate f for the ratio；Q is defined as:

Wherein n is the number of the phenotypic characteristic included when determining q, for undegraded material, q=1；I is greater than or equal to 1 and the integer less than or equal to n.

104. methods according to claim 79, also include at least one phenotypic characteristic (pc according to described processed materials_pm)_iWith at least one phenotypic characteristic (pc described in the processed materials in described known source_kp)_iBetween the step to calculate f for the difference；Q is defined as:

Wherein n is the number of the phenotypic characteristic included when determining q, for undegraded material, q=0；I is greater than or equal to 1 and the integer less than or equal to n.

105. methods according to claim 79, also include at least one phenotypic characteristic (pc according to described processed materials_pm)_iWith at least one phenotypic characteristic (pc described in the processed materials in described known source_kp)_iBetween the step to calculate f for the root-mean-square deviation；Q is defined as:

Wherein n is the number of the phenotypic characteristic included when determining degraded parameter, for undegraded material, q=0；I is greater than or equal to 1 and the integer less than or equal to n.

106. methods according to claim 79, also include the step calculating f according to the mathematical function selected from following item: summing function, SUbtractive function, multiplication function, division function, logarithmic function, polynomial function, exponential function, trigonometric function, hyperbolic functions, complex function, beta function, error function and above combination in any.

A kind of 107. nursing standard methods of the degraded for determining at least one cooking oil related to the cooking oil in known source, comprising:

A. at least one phenotypic characteristic pc of the cooking oil in source known at least one described in specifying_kp；

B., handheld portable imaging device is provided；

C. described cooking oil is imaged to provide at least one phenotypic characteristic pc of at least one cooking oil described_co；

D. degraded is determined by degraded mark q；

Wherein, described q is pc_coAnd pc_kpFunction f:

Q=f (pc_co,pc_kp)；

Wherein, if pc_coIt is substantially equal to pc_kp, then q be equal to the first predefined value, and described processed materials are certified with regard to the processed materials in described known source；Otherwise

If pc_coIt is markedly different from pc_kp, then q is equal to the second predefined value.

108. methods according to claim 107, also include the step selecting handheld portable imaging device from following item: infrared equipment, MR imaging apparatus, Fourier transform infrared line equipment, camera, at least one photodetector and above combination in any.

109. methods according to claim 107, also include selecting described pc from following item_kpWith described pc_coStep: originate in area, country of origin, the source of described processed materials, non-impurity-doped, color, hydrogenation, infrared spectrum, nuclear magnetic resoance spectrum, Fourier transform infrared line spectrum, the width at least one peak, the height at least one peak, the area at least one peak, the wavelength at least one peak, the number at peak, the wavelength shift at least one peak, baseline highly and above combination in any, described selection is for described pc_kpWith described pc_coIt is identical.

110. methods according to claim 107, also include the step selecting described cooking oil from following item: olive oil, Oleum Arachidis hypogaeae semen, walnut oil, rapeseed oil, almond oil, American Avocado Tree oil, butter, Oleum Cocois, Semen Maydis oil, Oleum Gossypii semen, Semen Lini oil, butter, Oleum Vitis viniferae, hazelnut oil, cannabis oil, Adeps Sus domestica, macadimia nut oil, margarine, mustard oil, Fructus Canarii albi Marc oil, Petiolus Trachycarpi oil, Semen Cucurbitae oil, Testa oryzae oil, safflower oil, Oleum sesami, soybean oil, Oleum Helianthi, Adeps Bovis seu Bubali, Oleum Camelliae, vegetable shortenings and above combination in any.

111. methods according to claim 107, also include showing the step of at least one in following item by least one screen: described q, described pc_kp, described pc_co, described first predefined value, described second predefined value, represent described q symbol, represent described pc_kpSymbol, represent described pc_coSymbol, represent the symbol of described first predefined value, represent the symbol of described second predefined value and above combination in any.

112. the method according to claim 111, also include the step selecting described symbol from following item: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

113. methods according to claim 107, also include being printed the step of at least one in following item by means of at least one printer: described q, described pc_kp, described pc_co, described first predefined value, described second predefined value, represent described q symbol, represent described pc_kpSymbol, represent described pc_coSymbol, represent the symbol of described first predefined value, represent the symbol of described second predefined value and above combination in any.

114. methods according to claim 113, also include the step selecting described symbol from following item: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

115. methods according to claim 107, are additionally included in the step of at least one in following item for the storage at least one data base: described q, described pc_kp, described pc_co, described first predefined value, described second predefined value, represent described q symbol, represent described pc_kpSymbol, represent described pc_coSymbol, represent the symbol of described first predefined value, represent the symbol of described second predefined value and above combination in any.

116. methods according to claim 115, also include the step selecting described symbol from following item: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

117. methods according to claim 107, also include the step sending at least one predetermined sound pattern by least one mike, and each described acoustic pattern represents at least one in following item: described q, described pc_kp, described pc_co, described first predefined value, described second predefined value, represent described q symbol, represent described pc_kpSymbol, represent described pc_coSymbol, represent the symbol of described first predefined value, represent the symbol of described second predefined value and above combination in any.

118. methods according to claim 117, also include the step selecting described symbol from following item: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

119. methods according to claim 117, also include the step selecting described acoustic pattern from following item: the sound with constant tone, the sound of tone with change, the sound with constant loudness, the sound of loudness with change, monophonic sound, the sound including multiple tones and above combination in any.

120. methods according to claim 117, further comprising the steps of: if described q is equal to described first predefined value, to send the first predefined acoustic pattern.

121. methods according to claim 117, further comprising the steps of: if described q is equal to described second predefined value, to send the second predefined acoustic pattern.

122. methods according to claim 107, also include the step sending at least one predetermined optical mode by least one light source；Each described optical mode represents at least one in following item: described q, described pc_kp, described pc_co, described first predefined value, described second predefined value, represent described q symbol, represent described pc_kpSymbol, represent described pc_coSymbol, represent the symbol of described first predefined value, represent the symbol of described second predefined value and above combination in any.

123. methods according to claim 122, also include the step selecting described symbol from following item: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

124. methods according to claim 122, also include the step selecting described optical mode from following item: the light with constant tone, the light of tone with change, the light with constant brightness, the light of brightness with change and above combination in any.

125. methods according to claim 122, further comprising the steps of: if described q is equal to described first predefined value, to send the first predefined optical mode.

126. methods according to claim 122, further comprising the steps of: if described q is equal to described second predefined value, to send the second predefined optical mode.

127. methods according to claim 107, also include the step providing two-way communication mechanism, described two-way communication mechanism is member that is wired or wireless and transmitting following item: the described phenotypic characteristic pc of at least one cooking oil described_co, described source known at least one cooking oil phenotypic characteristic pc_kp, described q, described first predefined value, described second predefined value, the handheld portable imaging device image of at least one cooking oil described, the handheld portable imaging device image of cooking oil in described source known at least one, the spectrum of at least one cooking oil described, the spectrum of cooking oil in described source known at least one, the mark of at least one cooking oil described, the mark of cooking oil in described source known at least one, time and above combination in any.

128. methods according to claim 107, also include at least one phenotypic characteristic (pc according to described processed materials_co)_iWith at least one phenotypic characteristic (pc described in the processed materials in described known source_kp)_iBetween the step to calculate f for the ratio；Q is defined as:

Wherein n is the number of the phenotypic characteristic included when determining q, for undegraded material, q=1；I is greater than or equal to 1 and the integer less than or equal to n.

129. methods according to claim 107, also include at least one phenotypic characteristic (pc according to described processed materials_co)_iWith at least one phenotypic characteristic (pc described in the processed materials in described known source_kp)_iBetween the step to calculate f for the ratio；Q is defined as:

Wherein n is the number of the phenotypic characteristic included when determining q, for undegraded material, q=1；I is greater than or equal to 1 and the integer less than or equal to n.

130. methods according to claim 107, also include at least one phenotypic characteristic (pc according to described processed materials_co)_iWith at least one phenotypic characteristic (pc described in the processed materials in described known source_kp)_iBetween the step to calculate f for the difference；Q is defined as:

Wherein n is the number of the phenotypic characteristic included when determining q, for undegraded material, q=0；I is greater than or equal to 1 and the integer less than or equal to n.

131. methods according to claim 107, also include at least one phenotypic characteristic (pc according to described processed materials_co)_iWith at least one phenotypic characteristic (pc described in the processed materials in described known source_kp)_iBetween the step to calculate f for the root-mean-square deviation；Q is defined as:

Wherein n is the number of the phenotypic characteristic included when determining degraded parameter, for undegraded material, q=0；I is greater than or equal to 1 and the integer less than or equal to n.

132. methods according to claim 107, also include the step calculating f according to the mathematical function selected from following item: summing function, SUbtractive function, multiplication function, division function, logarithmic function, polynomial function, exponential function, trigonometric function, hyperbolic functions, complex function, beta function, error function and above combination in any.

A kind of 133. nursing standard methods of the degraded for determining at least one olive oil related to the olive oil in known source, comprising:

A. at least one phenotypic characteristic pc of the olive oil in source known at least one described in specifying_kp；

B., handheld portable imaging device is provided；

C. described olive oil is imaged to provide at least one phenotypic characteristic pc of at least one olive oil described_oo；

D. degraded is determined by degraded mark q；

Wherein, described q is pc_ooAnd pc_kpFunction f:

Q=f (pc_oo,pc_kp)；

Wherein, if pc_ooIt is substantially equal to pc_kp, then q be equal to the first predefined value, and described processed materials are certified with regard to the processed materials in described known source；Otherwise

If pc_ooIt is markedly different from pc_kp, then q is equal to the second predefined value.

134. methods according to claim 133, also include the step selecting handheld portable imaging device from following item: infrared equipment, MR imaging apparatus, Fourier transform infrared line equipment, camera, at least one photodetector and above combination in any.

135. methods according to claim 133, also include selecting described pc from following item_kpWith described pc_ooStep: originate in area, country of origin, the source of described processed materials, non-impurity-doped, color, hydrogenation, infrared spectrum, nuclear magnetic resoance spectrum, Fourier transform infrared line spectrum, the width at least one peak, the height at least one peak, the area at least one peak, the wavelength at least one peak, the number at peak, the wavelength shift at least one peak, baseline highly and above combination in any, described selection is for described pc_kpWith described pc_ooIt is identical.

136. methods according to claim 133, also include showing the step of at least one in following item by least one screen: described q, described pc_kp, described pc_oo, described first predefined value, described second predefined value, represent described q symbol, represent described pc_kpSymbol, represent described pc_ooSymbol, represent the symbol of described first predefined value, represent the symbol of described second predefined value and above combination in any.

137. methods according to claim 136, also include the step selecting described symbol from following item: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

138. methods according to claim 133, also include being printed the step of at least one in following item by means of at least one printer: described q, described pc_kp, described pc_ooAnd above combination in any.

139. methods according to claim 138, also include the step selecting described symbol from following item: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

140. methods according to claim 133, are additionally included in the step of at least one in following item for the storage at least one data base: described q, described pc_kp, described pc_oo, described first predefined value, described second predefined value, represent described q symbol, represent described pc_kpSymbol, represent described pc_ooSymbol, represent the symbol of described first predefined value, represent the symbol of described second predefined value and above combination in any.

141. methods according to claim 140, also include the step selecting described symbol from following item: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

142. methods according to claim 133, also include the step sending at least one predetermined sound pattern by least one mike, and each described acoustic pattern represents at least one in following item: described q, described pc_kp, described pc_oo, described first predefined value, described second predefined value, represent described q symbol, represent described pc_kpSymbol, represent described pc_ooSymbol, represent the symbol of described first predefined value, represent the symbol of described second predefined value and above combination in any.

143. methods according to claim 142, also include the step selecting described symbol from following item: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

144. methods according to claim 142, also include the step selecting described acoustic pattern from following item: the sound with constant tone, the sound of tone with change, the sound with constant loudness, the sound of loudness with change, monophonic sound, the sound including multiple tones and above combination in any.

145. methods according to claim 142, further comprising the steps of: if described q is equal to described first predefined value, to send the first predefined acoustic pattern.

146. methods according to claim 142, further comprising the steps of: if described q is equal to described second predefined value, to send the second predefined acoustic pattern.

147. methods according to claim 133, also include the step sending at least one predetermined optical mode by least one light source；Each described optical mode represents at least one in following item: described q, described pc_kp, described pc_oo, described first predefined value, described second predefined value, represent described q symbol, represent described pc_kpSymbol, represent described pc_ooSymbol, represent the symbol of described first predefined value, represent the symbol of described second predefined value and above combination in any.

148. methods according to claim 147, also include the step selecting described symbol from following item: pattern, labelling, picture, numeral, text, code, bar code, readable texture, the instruction creating readable texture and above combination in any.

149. methods according to claim 147, also include the step selecting described optical mode from following item: the light with constant tone, the light of tone with change, the light with constant brightness, the light of brightness with change and above combination in any.

150. methods according to claim 147, further comprising the steps of: if described q is equal to described first predefined value, to send the first predefined optical mode.

151. methods according to claim 147, further comprising the steps of: if described q is equal to described second predefined value, to send the second predefined optical mode.

152. methods according to claim 133, also include the step providing the two-way communication mechanism being configured to wire or wirelessly communicate, and the step transmitting the member of following item: the described phenotypic characteristic pc of at least one olive oil described_oo, described source known at least one olive oil phenotypic characteristic pc_kp, described q, described first predefined value, described second predefined value, the handheld portable imaging device image of olive oil in described source known at least one, the handheld portable imaging device image of at least one olive oil described, the mark of at least one olive oil described, the mark of olive oil in described source known at least one, time and above combination in any.

153. methods according to claim 133, also include at least one phenotypic characteristic (pc according to described processed materials_oo)_iWith at least one phenotypic characteristic (pc described in the processed materials in described known source_kp)_iBetween the step to calculate f for the ratio；Q is defined as:

Wherein n is the number of the phenotypic characteristic included when determining q, for undegraded material, q=1；I is greater than or equal to 1 and the integer less than or equal to n.

154. methods according to claim 133, also include at least one phenotypic characteristic (pc according to described processed materials_oo)_iWith at least one phenotypic characteristic (pc described in the processed materials in described known source_kp)_iBetween the step to calculate f for the ratio；Q is defined as:

Wherein n is the number of the phenotypic characteristic included when determining q, for undegraded material, q=1；I is greater than or equal to 1 and the integer less than or equal to n.

155. methods according to claim 133, also include at least one phenotypic characteristic (pc according to described processed materials_oo)_iWith at least one phenotypic characteristic (pc described in the processed materials in described known source_kp)_iBetween the step to calculate f for the difference；Q is defined as:

Wherein n is the number of the phenotypic characteristic included when determining q, for undegraded material, q=0；I is greater than or equal to 1 and the integer less than or equal to n.

156. methods according to claim 133, also include at least one phenotypic characteristic (pc according to described processed materials_oo)_iWith at least one phenotypic characteristic (pc described in the processed materials in described known source_kp)_iBetween the step to calculate f for the root-mean-square deviation；Q is defined as:

Wherein n is the number of the phenotypic characteristic included when determining degraded parameter, for undegraded material, q=0；I is greater than or equal to 1 and the integer less than or equal to n.

157. methods according to claim 133, also include the step calculating f according to the mathematical function selected from following item: summing function, SUbtractive function, multiplication function, division function, logarithmic function, polynomial function, exponential function, trigonometric function, hyperbolic functions, complex function, beta function, error function and above combination in any.