CN117740755B - Edible vegetable oil authenticity judging method, system, equipment and medium - Google Patents

Abstract

The present invention discloses a method, system, equipment and medium for determining the authenticity of edible vegetable oil, and relates to the technical field of edible vegetable oil detection. The method includes: establishing a fatty acid-Raman model of edible vegetable oil and a triglyceride-Raman model of edible vegetable oil; when the category of the edible vegetable oil to be determined is one of peanut oil, sesame oil and camellia oil, the edible vegetable oil to be determined is scanned to obtain a Raman spectrum, and the Raman spectrum is respectively input into the fatty acid-Raman model of the edible vegetable oil and the triglyceride-Raman model of the edible vegetable oil to obtain a third output result and a fourth output result; according to the third output result, the fourth output result and the category of the edible vegetable oil to be determined, the authenticity of the edible vegetable oil to be determined is judged. The present invention is analyzed and determined based on the scanning results of the Raman spectrum. Compared with the manual processing method, the determination method of this scheme is more efficient and more accurate.

Description

A method, system, device and medium for determining authenticity of edible vegetable oil

Technical Field

The present invention relates to the technical field of edible vegetable oil detection, and in particular to a method, system, equipment and medium for determining the authenticity of edible vegetable oil.

Background Art

In the edible vegetable oil market, some unscrupulous merchants, in pursuit of profits, mix cheap vegetable oils with expensive oils (such as peanut oil, sesame oil, and camellia oil), passing inferior products off as good ones and passing off fakes as genuine ones, thereby making huge profits. Therefore, in order to regulate the market and protect the legitimate rights and interests of consumers, it is very necessary to authenticate the authenticity of edible vegetable oils.

Sensory evaluation is a traditional method for authenticity identification of edible vegetable oils, but the test results of sensory evaluation methods are greatly affected by subjective factors and have large detection errors. When using gas chromatography, high performance liquid chromatography, mass spectrometry and other methods to identify the authenticity of edible vegetable oils, it is necessary to measure the fatty acids, triglycerides and other components in the vegetable oils, and then compare them with the real value database for authenticity identification. However, the analysis process is cumbersome, time-consuming, consumes a lot of organic reagents, and has adverse effects on the health of testers.

Summary of the invention

The technical problem to be solved by the present invention is to address the deficiencies of the prior art and specifically provide a method, system, device and medium for determining the authenticity of edible vegetable oil, as follows:

1) In the first aspect, the present invention provides a method for determining the authenticity of edible vegetable oil based on Raman spectroscopy characteristics, and the specific technical scheme is as follows:

Establish the fatty acid-Raman model of edible vegetable oil and the triglyceride-Raman model of edible vegetable oil;

Scanning the edible vegetable oil to be determined to obtain the fatty acid content and triglyceride content of the edible vegetable oil to be determined;

According to the fatty acid content, determining the first category of the edible vegetable oil to be determined in a first category table, and according to the triglyceride content, determining the second category of the edible vegetable oil to be determined in a second category table, wherein the first category table characterizes the correspondence between different fatty acid contents and different edible vegetable oil categories, and the second category table characterizes the correspondence between different triglyceride contents and different edible vegetable oil categories;

Scanning the edible vegetable oil to be determined to obtain a Raman spectrum, and inputting the Raman spectrum into a fatty acid-Raman model of the edible vegetable oil and a triglyceride-Raman model of the edible vegetable oil to obtain a first output result and a second output result;

The authenticity of the edible vegetable oil is judged according to the first category, the second category, the first output result, and the second output result.

The beneficial effects of the method for determining the authenticity of edible vegetable oil based on Raman spectroscopy provided by the present invention are as follows:

Raman spectroscopy is fast, convenient, highly sensitive, and non-destructive in analyzing samples. It has a good application prospect in the field of authenticity detection of edible vegetable oils. Therefore, compared with manual processing, the analysis and judgment based on the scanning results of Raman spectroscopy is more efficient and accurate.

Based on the above solution, the present invention can also be improved as follows.

Further, the process of establishing the fatty acid-Raman model of edible vegetable oil and the triglyceride-Raman model of edible vegetable oil is as follows:

The crude oil samples of different types of edible vegetable oils are scanned by a Raman spectrometer to obtain the original Raman spectra of the different types of edible vegetable oils. All the original Raman spectra are extended to obtain the extended spectra corresponding to each original Raman spectra. The fatty acid-Raman model of the edible vegetable oil and the triglyceride-Raman model of the edible vegetable oil are constructed based on all the extended spectra.

2) In the second aspect, the present invention also provides a method for determining the authenticity of edible vegetable oil based on Raman spectroscopy characteristics, and the specific technical solution is as follows:

Establish the fatty acid-Raman model of edible vegetable oil and the triglyceride-Raman model of edible vegetable oil;

When the type of the edible vegetable oil to be determined is one of peanut oil, sesame oil and camellia oil, the edible vegetable oil to be determined is scanned to obtain a Raman spectrum, and the Raman spectrum is respectively input into a fatty acid-Raman model of the edible vegetable oil and a triglyceride-Raman model of the edible vegetable oil to obtain a third output result and a fourth output result;

The authenticity of the edible vegetable oil to be determined is judged according to the third output result, the fourth output result and the category of the edible vegetable oil to be determined.

Based on the above solution, the present invention can also be improved as follows.

Further, the process of judging the authenticity of the edible vegetable oil to be determined according to the third output result, the fourth output result and the category of the edible vegetable oil to be determined is:

The categories of edible vegetable oils corresponding to the third output result and the fourth output result are searched in a preset mapping table, and the authenticity of the edible vegetable oil to be determined is determined based on the consistency judgment result between the category of the edible vegetable oil and the category of the edible vegetable oil to be determined.

3) In a third aspect, the present invention further provides an edible vegetable oil authenticity determination system based on Raman spectroscopy characteristics, comprising:

The module is used to: establish a fatty acid-Raman model of edible vegetable oil and a triglyceride-Raman model of edible vegetable oil;

The first scanning module is used to: scan the edible vegetable oil to be determined to obtain the fatty acid content and triglyceride content of the edible vegetable oil to be determined;

The control module is used to: determine the first category of the edible vegetable oil to be determined in a first category table according to the fatty acid content, and determine the second category of the edible vegetable oil to be determined in a second category table according to the triglyceride content, wherein the first category table represents the corresponding relationship between different fatty acid contents and different edible vegetable oil categories, and the second category table represents the corresponding relationship between different triglyceride contents and different edible vegetable oil categories;

The second scanning module is used to: scan the edible vegetable oil to be determined to obtain a Raman spectrum, and input the Raman spectrum into the fatty acid-Raman model of the edible vegetable oil and the triglyceride-Raman model of the edible vegetable oil to obtain a first output result and a second output result;

The judgment module is used to judge the authenticity of the edible vegetable oil according to the first category, the second category, the first output result and the second output result.

Further, the establishment module is specifically used for:

The crude oil samples of different types of edible vegetable oils are scanned by a Raman spectrometer to obtain the original Raman spectra of the different types of edible vegetable oils. All the original Raman spectra are extended to obtain the extended spectra corresponding to each original Raman spectra. The fatty acid-Raman model of the edible vegetable oil and the triglyceride-Raman model of the edible vegetable oil are constructed based on all the extended spectra.

4) In a fourth aspect, the present invention further provides an edible vegetable oil authenticity determination system based on Raman spectroscopy characteristics, comprising:

The module is used to: establish a fatty acid-Raman model of edible vegetable oil and a triglyceride-Raman model of edible vegetable oil;

The scanning module is used for: when the category of the edible vegetable oil to be determined is one of peanut oil, sesame oil and camellia oil, scanning the edible vegetable oil to be determined to obtain a Raman spectrum, and inputting the Raman spectrum into a fatty acid-Raman model of the edible vegetable oil and a triglyceride-Raman model of the edible vegetable oil to obtain a third output result and a fourth output result respectively;

The judgment module is used to judge the authenticity of the edible vegetable oil to be determined according to the third output result, the fourth output result and the category of the edible vegetable oil to be determined.

Further, the judgment module is specifically used for:

The categories of edible vegetable oils corresponding to the third output result and the fourth output result are searched in a preset mapping table, and the authenticity of the edible vegetable oil to be determined is determined based on the consistency judgment result between the category of the edible vegetable oil and the category of the edible vegetable oil to be determined.

5) In a fifth aspect, the present invention further provides a computer device, comprising a processor, wherein the processor is coupled to a memory, wherein the memory stores at least one computer program, and wherein the at least one computer program is loaded and executed by the processor so that the computer device implements any of the above methods.

6) In a sixth aspect, the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores at least one computer program, and the at least one computer program is loaded and executed by a processor to enable a computer to implement any of the above methods.

It should be noted that the beneficial effects achieved by the technical solutions of the second to sixth aspects of the present invention and the corresponding possible implementation methods can be found in the above-mentioned technical effects of the first aspect and its corresponding possible implementation methods, and will not be repeated here.

BRIEF DESCRIPTION OF THE DRAWINGS

Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

FIG1 is a schematic diagram of a method for determining authenticity of edible vegetable oil based on Raman spectroscopy characteristics according to an embodiment of the present invention;

FIG2 is a second flow chart of a method for determining authenticity of edible vegetable oil based on Raman spectroscopy characteristics according to an embodiment of the present invention;

FIG3 is a schematic diagram of the computer device structure;

FIG4 is the original spectra of peanut oil, sesame oil and camellia oil;

FIG5 is an expanded spectrum diagram of peanut oil, sesame oil and camellia oil;

FIG6 is a flow chart of the establishment and application of a mathematical model;

FIG. 7 is a simplified diagram showing the process.

DETAILED DESCRIPTION

In order to make the objectives, technical solutions and advantages of the present invention more clear, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

As shown in FIG1 , a method for determining the authenticity of edible vegetable oil based on Raman spectroscopy characteristics according to an embodiment of the present invention comprises the following steps:

S1, establish the fatty acid-Raman model of edible vegetable oil and the triglyceride-Raman model of edible vegetable oil;

S2, scanning the edible vegetable oil to be determined to obtain the fatty acid content and triglyceride content of the edible vegetable oil to be determined;

S3, determining the first category of the edible vegetable oil to be determined in a first category table according to the fatty acid content, and determining the second category of the edible vegetable oil to be determined in a second category table according to the triglyceride content, wherein the first category table represents the correspondence between different fatty acid contents and different edible vegetable oil categories, and the second category table represents the correspondence between different triglyceride contents and different edible vegetable oil categories;

S4, scanning the edible vegetable oil to be determined to obtain a Raman spectrum, and inputting the Raman spectrum into a fatty acid-Raman model of the edible vegetable oil and a triglyceride-Raman model of the edible vegetable oil to obtain a first output result and a second output result;

S5: judging the authenticity of the edible vegetable oil according to the first category, the second category, the first output result, and the second output result.

The beneficial effects of the method for determining the authenticity of edible vegetable oil based on Raman spectroscopy provided by the present invention are as follows:

Raman spectroscopy is fast, convenient, highly sensitive, and non-destructive in analyzing samples. It has a good application prospect in the field of authenticity detection of edible vegetable oils. Therefore, compared with manual processing, the analysis and judgment based on the scanning results of Raman spectroscopy is more efficient and accurate.

The fatty acid-Raman model of edible vegetable oil and the triglyceride-Raman model of edible vegetable oil were established.

The construction process of the fatty acid-Raman model of edible vegetable oil and the triglyceride-Raman model of edible vegetable oil is as follows:

As shown in Figures 4 and 5, the crude vegetable oil samples were scanned separately using a laser microscope confocal Raman spectrometer, and the excitation wavelength was set to 785nm, the laser power was 10mW, the exposure time was 10s, the grating was 1200L/mm, and it took about 3min to test one sample. The original Raman spectra corresponding to the crude oil samples of each category of food vegetable oil were obtained, and then MATLAB2019a software was used for baseline correction, smoothing filtering, normalization and other processing to obtain the extended spectrum corresponding to each original Raman spectrum.

Crude oil samples refer to: peanut samples (≥1000 samples), sesame samples (≥400 samples), and camellia seed samples (≥300 samples) that are collected in large quantities and produced and processed according to their varieties and origins. After mechanical crushing, the crude oil is extracted using non-polar organic solvents such as petroleum ether or n-hexane.

MATLAB2019a software refers to: MATLAB2019a is a commercial mathematical software that can be used for data analysis, deep learning, image processing, signal processing, etc.

As shown in Figure 6, the training set and test set for training the model were determined. The full-band (100-3300 cm ^-1 ) Raman spectrum was selected using MATLAB2019a software. The full-band Raman spectrum was preprocessed by baseline correction, smoothing filtering, normalization, etc. to obtain the extended spectrum of the vegetable oil sample (as shown in Figure 5). The fatty acid-Raman model and triglyceride-Raman model of peanut oil, sesame oil and camellia oil were established using the partial least squares method, respectively.

Partial least squares is a latent variable regression method based on principal component regression (PCR). When calculating, the original variables are first linearly combined to calculate their principal components, namely PLS factors, and then the PLS factors are used as a new variable for multivariate linear regression. The biggest advantage of partial least squares is that it can also perform regression modeling under the condition that the independent variables have more serious multiple correlations.

The mathematical model of partial least squares method is as follows:

X＝TP+E

Y＝UQ+F

Wherein, matrix T and matrix U are the score matrices of X and Y respectively, matrix P and matrix Q are the load matrices of X and Y respectively, and E and F are error matrices.

When both X and Y matrices are used to determine factors, linear regression is performed on matrix T and matrix U:

U＝TB

B＝(T'T) ^-1 T'Y

When using the model for prediction, the score matrix _Ti of the unknown sample _Xi should be calculated based on the matrix P, and then the predicted sample _Yi is calculated according to the following formula:

_Yi ＝ _TiBQ

In the process of establishing and verifying qualitative and quantitative models, some statistical parameters are usually used to evaluate the performance of the model. Commonly used statistical parameters include determination coefficient ( ^R2 ), correlation coefficient (R), calibration standard deviation (Root Mean Square Error of Calibration, RMSEC), prediction standard deviation (Root Mean Square Error of Prediction, RMSEP), ratio of standard deviation of the validation set to standard error of prediction (Ratio of Standard Deviation of the Validation set to Standard Error of Prediction, RPD), etc.

(1) Coefficient of determination (R ² ) or correlation coefficient (R)

In the formula, is the measured value of the ith sample, _yi is the predicted value of the ith sample in the prediction process, _yi is the average measured value of all samples in the training set or validation set, and n is the number of all samples in the training set or validation set.

R represents the correlation between the sample prediction value and the true value. The closer the R value is to 1, the better the prediction result of the model is and the higher the accuracy is. The closer the R value is to 0, the worse the prediction result of the model is and the lower the accuracy is.

(2) Correction standard deviation (RMSEC)

The definitions of the variables in the formula are the same as above.

During the model building process, the smaller the RMSEC value, the better the model regression and the higher the prediction accuracy of the model, which is equivalent to the repeatability of the measurement method. If the RMSEC value is too small, overfitting is likely to occur.

(3) Prediction standard deviation (RMSEP)

In the formula, is the measured value of the ith sample, _yi is the predicted value of the ith sample in the validation set during the prediction process, and m is the number of all samples in the validation set.

The smaller the RMSEP value, the stronger the predictive ability of the model; conversely, the larger the RMSEP value, the weaker the predictive ability of the model.

(4) Ratio of validation set standard deviation to prediction standard deviation (RPD)

The larger the RPD value, the higher the prediction accuracy of the model; conversely, the lower the prediction accuracy of the model.

After modeling optimization and comparative analysis, the prediction accuracy of the fatty acid-Raman model is high and the performance is good after the first-order derivative + Norris derivative 11-point smoothing pretreatment is selected. The performance indicators of the model are shown in Table 1. When RPD>5, the prediction result of the model is acceptable; when RPD>8, it indicates that the prediction accuracy of the model is very high and the stability is good. After modeling optimization and comparative analysis, the prediction accuracy of the triglyceride-Raman model is high and the performance is good after the first-order derivative + Norris derivative 7-point smoothing pretreatment is selected. The performance indicators of the model are shown in Table 2. RPD>8 indicates that the prediction accuracy of the model is very high and the stability is good. Table 1 shows the performance indicators of the fatty acid-Raman model of edible vegetable oil; Table 2 shows the performance indicators of the triglyceride-Raman model of edible vegetable oil.

Table 1

Table 2

The edible vegetable oil to be determined is scanned to obtain the fatty acid content and triglyceride content of the edible vegetable oil to be determined.

The fatty acid content of the edible vegetable oil to be determined is determined by gas chromatography analysis, and the triglyceride content of the edible vegetable oil to be determined is determined by mass spectrometry qualitative analysis and high performance liquid chromatography quantitative analysis.

Among them, the gas chromatography analysis method is: refer to the third method (normalization method) of GB 5009.168 "National Food Safety Standard Determination of Fatty Acids in Foods" to test and analyze the fatty acid composition and content in edible vegetable oils.

The qualitative mass spectrometry method is: using high performance liquid chromatography-time of flight mass spectrometer (HPLC-Q/TOF) for analysis, mainly including: ① Sample preparation: preparing 1 mg/mL vegetable oil isopropanol solution, filtering with 0.2 μm organic filter membrane, and qualitatively analyzing triglycerides by HPLC-Q/TOF; ② Liquid chromatography conditions: chromatographic column C ₁₈ (4.6 mm×250 mm, 5 μm); mobile phase: isopropanol, acetonitrile, gradient elution (as shown in the following table); column temperature 45°C; ③ Mass spectrometry conditions: acquisition mode APCI+; acquisition range (m/z) 500-1200; drying gas temperature 300°C; drying gas flow rate 4L/min; vaporizer temperature 350°C; capillary voltage 3.5 kV. As shown in Table 3. Table 3 is the corresponding table of mobile phase gradient elution program.

Table 3

Time/min Flow rate/mL/min Mobile phase/isopropanol% Mobile phase/acetonitrile% 0 0.6 20 80 14 0.6 20 80 27 0.6 70 30 35 0.6 70 30 42 0.6 20 80

The quantitative analysis method of high performance liquid chromatography is: referring to the AOCS method (AOCS official method Ce5b-89) for high performance liquid chromatography-differential refractive index detector detection, and the area normalization method is used to quantitatively analyze the relative content of triglyceride components. It mainly includes: ① Sample preparation: prepare 50 mg/mL vegetable oil acetone solution, filter with 0.45 μm organic filter membrane; ② Liquid chromatography conditions: stainless steel column (250 mm × 4.6 mm, 5 μm), silica particles and carbon filled in the form of octadecyl dimethylsilyl, or equivalent performance; mobile phase: acetonitrile-acetone; column temperature 35 ° C; flow rate 1.5 mL/min; ③ Differential refractive index detector detection.

According to the fatty acid content, the first category of the edible vegetable oil to be determined is determined in the first category table, and according to the triglyceride content, the second category of the edible vegetable oil to be determined is determined in the second category table, the first category table characterizes the correspondence between different fatty acid contents and different edible vegetable oil categories, and the second category table characterizes the correspondence between different triglyceride contents and different edible vegetable oil categories. Wherein:

The fatty acid content and triglyceride content in the first category table and the second category table are both obtained by the method in the above example, the only difference is that the sample size in the first category table and the second category table is larger.

The first category table is shown in Table 4:

Table 4

Note: C16:0 is palmitic acid, C18:0 is stearic acid, C18:1 is oleic acid, C18:2 is linoleic acid, C18:3 is linolenic acid, C20:0 is arachidic acid, C20:1 is arachidic acid, C22:0 is behenic acid, C22:1 is erucic acid, C24:0 is lignic acid, C24:1 is tetracosenoic acid, ND means not detected.

The second category tables are shown in Table 5, Table 6 and Table 7:

Table 5

Table 6

Table 7

Note: LLLn is dilinoleyl linoleinyl glyceryl, LLL is trilinoleyl glyceryl, OLL is dilinoleyl oleyl glyceryl, PLL is dilinoleyl palmitinyl glyceryl, OOL is dioleyl linoleyl glyceryl, PPL is dipalmitinyl linoleyl glyceryl, OOO is trioleinyl glyceryl, SOL is stearyl oleyl linoleyl glyceryl, POO is dioleyl palmitinyl glyceryl, SOO is dioleyl stearinyl glyceryl, ALL is dilinoleyl arachidyl glyceryl, PPO is dipalmitinyl oleyl glyceryl, AOO is dioleyl arachidyl glyceryl, BLP is behenyl linoleyl palmitinyl glyceryl, BOP is behenyl Oleic acid palmitic acid glyceryl, LiOO is dioleic acid linoleic acid glyceryl, LiOP is linoleic acid oleic acid palmitic acid glyceryl, GOO is dioleic acid arachidonyl glyceryl, POS is palmitic acid oleic acid stearic acid glyceryl, POL+SLL is palmitic acid oleic acid linoleic acid glyceryl + dilinoleic acid stearic acid glyceryl, POS+SSL is palmitic acid oleic acid stearic acid glyceryl + distearic acid linoleic acid glyceryl, POS+PLA is palmitic acid oleic acid stearic acid glyceryl + palmitic acid linoleic acid arachidonyl glyceryl, BOL+LiLL is behenic acid oleic acid linoleic acid glyceryl + dilinoleic acid linoleic acid glyceryl, ND means not detected.

The category of the edible vegetable oil to be determined can be obtained through the first category table and the second category table.

The edible vegetable oil to be determined is scanned to obtain a Raman spectrum, and the Raman spectrum is respectively input into a fatty acid-Raman model of the edible vegetable oil and a triglyceride-Raman model of the edible vegetable oil to obtain a first output result and a second output result.

The authenticity of the edible vegetable oil is judged according to the first category, the second category, the first output result and the second output result.

The process of authenticity judgment includes but is not limited to the following:

The first category and the second category obtained by screening according to the above table may contain more than one specific category. Therefore, the intersection of the first category and the second category can obtain the unique corresponding category of the edible vegetable oil to be determined, and determine whether the unique corresponding category is consistent with the category in the first output result and the category in the second output result. If they are consistent, it can be determined that the authenticity of the edible vegetable oil to be determined is unique, and the category of the edible vegetable oil to be determined is the unique corresponding category. If they are inconsistent, the first category and the second category are re-determined.

Further, the process of establishing the fatty acid-Raman model of edible vegetable oil and the triglyceride-Raman model of edible vegetable oil is as follows:

The crude oil samples of different types of edible vegetable oils are scanned by a Raman spectrometer to obtain the original Raman spectra of the different types of edible vegetable oils. All the original Raman spectra are extended to obtain the extended spectra corresponding to each original Raman spectra. The fatty acid-Raman model of the edible vegetable oil and the triglyceride-Raman model of the edible vegetable oil are constructed based on all the extended spectra.

As shown in FIG2 , the present invention also provides a method for determining the authenticity of edible vegetable oil based on Raman spectroscopy characteristics, and the specific technical solution is as follows:

S1, establish the fatty acid-Raman model of edible vegetable oil and the triglyceride-Raman model of edible vegetable oil;

S2, when the category of the edible vegetable oil to be determined is one of peanut oil, sesame oil and camellia oil, scanning the edible vegetable oil to be determined to obtain a Raman spectrum, and inputting the Raman spectrum into a fatty acid-Raman model of the edible vegetable oil and a triglyceride-Raman model of the edible vegetable oil to obtain a third output result and a fourth output result;

S3, judging the authenticity of the edible vegetable oil to be determined according to the third output result, the fourth output result and the category of the edible vegetable oil to be determined.

In this embodiment, the process of obtaining the third output result and the fourth output result is consistent with the process of obtaining the first output result and the second output result mentioned above, and will not be described in detail here.

The authenticity of the edible vegetable oil to be determined is judged according to the third output result, the fourth output result and the category of the edible vegetable oil to be determined.

As shown in FIG7 , it is determined whether the categories in the third output result and the fourth output result are consistent with the category of the edible vegetable oil to be determined. If they are consistent, it can be determined that the authenticity of the edible vegetable oil to be determined is unique. If they are inconsistent, the corresponding oil of the edible vegetable oil to be determined is obtained, and the fatty acid content and triglyceride content of the corresponding oil are extracted. According to the fatty acid content, the first category of the edible vegetable oil to be determined is determined in the first category table, and according to the triglyceride content, the second category of the edible vegetable oil to be determined is determined in the second category table. According to the first category and the second category, the unique category of the corresponding oil is determined, and it is further determined whether the unique category is consistent with the category of the edible vegetable oil to be determined. If they are still inconsistent, it is determined that the edible vegetable oil to be determined is not authentic.

Further, the process of judging the authenticity of the edible vegetable oil to be determined according to the third output result, the fourth output result and the category of the edible vegetable oil to be determined is:

The categories of edible vegetable oils corresponding to the third output result and the fourth output result are searched in a preset mapping table, and the authenticity of the edible vegetable oil to be determined is determined based on the consistency judgment result between the category of the edible vegetable oil and the category of the edible vegetable oil to be determined.

In the above embodiments, although the steps are numbered S1, S2, etc., these are only specific embodiments given by the present invention. Those skilled in the art may adjust the execution order of S1, S2, etc. according to actual conditions, which is also within the protection scope of the present invention. It can be understood that in some embodiments, some or all of the above embodiments may be included.

The present invention also provides an edible vegetable oil authenticity determination system based on Raman spectral characteristics, comprising:

The module is used to: establish a fatty acid-Raman model of edible vegetable oil and a triglyceride-Raman model of edible vegetable oil;

The first scanning module is used to: scan the edible vegetable oil to be determined to obtain the fatty acid content and triglyceride content of the edible vegetable oil to be determined;

The control module is used to: determine the first category of the edible vegetable oil to be determined in a first category table according to the fatty acid content, and determine the second category of the edible vegetable oil to be determined in a second category table according to the triglyceride content, wherein the first category table represents the corresponding relationship between different fatty acid contents and different edible vegetable oil categories, and the second category table represents the corresponding relationship between different triglyceride contents and different edible vegetable oil categories;

The second scanning module is used to: scan the edible vegetable oil to be determined to obtain a Raman spectrum, and input the Raman spectrum into the fatty acid-Raman model of the edible vegetable oil and the triglyceride-Raman model of the edible vegetable oil to obtain a first output result and a second output result;

The judgment module is used to judge the authenticity of the edible vegetable oil according to the first category, the second category, the first output result and the second output result.

Further, the establishment module is specifically used for:

The crude oil samples of different types of edible vegetable oils are scanned by a Raman spectrometer to obtain the original Raman spectra of the different types of edible vegetable oils. All the original Raman spectra are extended to obtain the extended spectra corresponding to each original Raman spectra. The fatty acid-Raman model of the edible vegetable oil and the triglyceride-Raman model of the edible vegetable oil are constructed based on all the extended spectra.

The present invention also provides an edible vegetable oil authenticity determination system based on Raman spectral characteristics, comprising:

The building blocks are used to: establish fatty acid-Raman models of edible vegetable oils and triglyceride-Raman models of edible vegetable oils;

The scanning module is used for: when the category of the edible vegetable oil to be determined is one of peanut oil, sesame oil and camellia oil, scanning the edible vegetable oil to be determined to obtain a Raman spectrum, and inputting the Raman spectrum into a fatty acid-Raman model of the edible vegetable oil and a triglyceride-Raman model of the edible vegetable oil to obtain a third output result and a fourth output result respectively;

The determination module is used to determine the authenticity of the edible vegetable oil to be determined according to the third output result, the fourth output result and the category of the edible vegetable oil to be determined.

Further, the judgment module is specifically used for:

The categories of edible vegetable oils corresponding to the third output result and the fourth output result are searched in a preset mapping table, and the authenticity of the edible vegetable oil to be determined is determined based on the consistency judgment result between the category of the edible vegetable oil and the category of the edible vegetable oil to be determined.

It should be noted that the beneficial effects of the edible vegetable oil authenticity determination system based on Raman spectral characteristics provided in the above embodiment are the same as the beneficial effects of the edible vegetable oil authenticity determination method based on Raman spectral characteristics, which will not be repeated here. In addition, when the system provided in the above embodiment realizes its functions, it only takes the division of the above-mentioned functional modules as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the system can be divided into different functional modules according to actual conditions to complete all or part of the functions described above. In addition, the system and method embodiments provided in the above embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment, which will not be repeated here.

As shown in FIG3 , a computer device 300 according to an embodiment of the present invention includes a processor 320, the processor 320 is coupled to a memory 310, and the memory 310 stores at least one computer program 330. The at least one computer program 330 is loaded and executed by the processor 320, so that the computer device 300 implements any of the above methods, specifically:

The computer device 300 may have relatively large differences due to different configurations or performances, and may include one or more processors 320 (Central Processing Units, CPU) and one or more memories 310, wherein at least one computer program 330 is stored in the one or more memories 310, and the at least one computer program 330 is loaded and executed by the one or more processors 320, so that the computer device 300 implements a method for determining the authenticity of edible vegetable oil based on Raman spectral characteristics provided in the above embodiment. Of course, the computer device 300 may also have components such as a wired or wireless network interface, a keyboard, and an input and output interface for input and output, and the computer device 300 may also include other components for realizing device functions, which will not be repeated here.

A computer-readable storage medium according to an embodiment of the present invention stores at least one computer program, and the at least one computer program is loaded and executed by a processor so that a computer implements any one of the above methods.

Optionally, the computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, and the like.

In an exemplary embodiment, a computer program product or a computer program is also provided, the computer program product or the computer program comprising computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs any of the above methods.

It should be noted that the terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects and represent the definition of a specific order or sequence. The order of use of similar objects can be interchanged where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than the order shown or described.

Those skilled in the art know that the present invention can be implemented as a system, method or computer program product. Therefore, the present disclosure can be specifically implemented in the following forms, namely: it can be complete hardware, it can be complete software (including firmware, resident software, microcode, etc.), or it can be a combination of hardware and software, which is generally referred to as "circuit", "module" or "system" herein. In addition, in some embodiments, the present invention can also be implemented in the form of a computer program product in one or more computer-readable media, and the computer-readable medium contains computer-readable program code.

Any combination of one or more computer-readable media may be used. A computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, device, or device.

Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims (8)

1. The edible vegetable oil authenticity judging method based on the Raman spectrum characteristics is characterized by comprising the following steps of:

Establishing a fatty acid-Raman model of the edible vegetable oil and a triglyceride-Raman model of the edible vegetable oil;

Scanning edible vegetable oil to be judged to obtain fatty acid content and triglyceride content of the edible vegetable oil to be judged;

Determining a first category of the edible vegetable oil to be judged in a first category table according to the fatty acid content, and determining a second category of the edible vegetable oil to be judged in a second category table according to the triglyceride content, wherein the first category table represents the corresponding relation between different fatty acid contents and different edible vegetable oil categories, and the second category table represents the corresponding relation between different triglyceride contents and different edible vegetable oil categories;

Scanning the edible vegetable oil to be judged to obtain a Raman spectrum, and respectively inputting the Raman spectrum into a fatty acid-Raman model of the edible vegetable oil and a triglyceride-Raman model of the edible vegetable oil to obtain a first output result and a second output result;

Judging the authenticity of the edible vegetable oil according to the first category, the second category, the first output result and the second output result, wherein the method specifically comprises the following steps:

And carrying out intersection processing on the first category and the second category to obtain a unique corresponding category of the edible vegetable oil to be judged, judging whether the unique corresponding category is consistent with the category in the first output result and the category in the second output result, if so, judging that the authenticity of the edible vegetable oil to be judged is unique, and if not, carrying out the determination of the first category and the second category again.

2. The edible vegetable oil authenticity judging method based on the Raman spectrum characteristics according to claim 1, wherein the process of establishing a fatty acid-Raman model of the edible vegetable oil and a triglyceride-Raman model of the edible vegetable oil is as follows:

Scanning Mao Youyang pieces of edible vegetable oil of different categories through a Raman spectrometer to obtain Raman spectrum original spectrograms of the edible vegetable oil of different categories, performing expansion processing on all the Raman spectrum original spectrograms to obtain expansion spectrograms corresponding to all the Raman spectrum original spectrograms, and constructing a fatty acid-Raman model of the edible vegetable oil and a triglyceride-Raman model of the edible vegetable oil based on all the expansion spectrograms.

3. The edible vegetable oil authenticity judging method based on the Raman spectrum characteristics is characterized by comprising the following steps of:

Establishing a fatty acid-Raman model of the edible vegetable oil and a triglyceride-Raman model of the edible vegetable oil;

When the edible vegetable oil to be judged is one of peanut oil, sesame oil and camellia seed oil, scanning the edible vegetable oil to be judged to obtain a Raman spectrum, and respectively inputting the Raman spectrum into a fatty acid-Raman model of the edible vegetable oil and a triglyceride-Raman model of the edible vegetable oil to obtain a third output result and a fourth output result;

Judging the authenticity of the edible vegetable oil to be judged according to the third output result, the fourth output result and the type of the edible vegetable oil to be judged, wherein the method specifically comprises the following steps:

Judging whether the categories in the third output result and the fourth output result are consistent with the categories of the edible vegetable oil to be judged, if so, judging that the authenticity of the edible vegetable oil to be judged is unique, if not, acquiring the corresponding oil materials of the edible vegetable oil to be judged, and extracting the fatty acid content and the triglyceride content of the corresponding oil materials; determining a first category of edible vegetable oil to be judged in a first category table according to the content of fatty acid, determining a second category of edible vegetable oil to be judged in a second category table according to the content of triglyceride, judging the unique category of the corresponding oil according to the first category and the second category, further judging whether the unique category is consistent with the category of the edible vegetable oil to be judged, and judging that the edible vegetable oil to be judged does not have authenticity if the unique category is still inconsistent with the category of the edible vegetable oil to be judged;

The first category table characterizes the corresponding relation between different fatty acid contents and different edible vegetable oil categories, and the second category table characterizes the corresponding relation between different triglyceride contents and different edible vegetable oil categories.

4. An edible vegetable oil authenticity judging system based on raman spectrum characteristics, comprising:

The establishment module is used for: establishing a fatty acid-Raman model of the edible vegetable oil and a triglyceride-Raman model of the edible vegetable oil;

The first scanning module is used for: scanning edible vegetable oil to be judged to obtain fatty acid content and triglyceride content of the edible vegetable oil to be judged;

the control module is used for: determining a first category of the edible vegetable oil to be judged in a first category table according to the fatty acid content, and determining a second category of the edible vegetable oil to be judged in a second category table according to the triglyceride content, wherein the first category table represents the corresponding relation between different fatty acid contents and different edible vegetable oil categories, and the second category table represents the corresponding relation between different triglyceride contents and different edible vegetable oil categories;

The second scanning module is used for: scanning the edible vegetable oil to be judged to obtain a Raman spectrum, and respectively inputting the Raman spectrum into a fatty acid-Raman model of the edible vegetable oil and a triglyceride-Raman model of the edible vegetable oil to obtain a first output result and a second output result;

The judging module is used for: judging the authenticity of the edible vegetable oil according to the first category, the second category, the first output result and the second output result, wherein the method specifically comprises the following steps:

And carrying out intersection processing on the first category and the second category to obtain a unique corresponding category of the edible vegetable oil to be judged, judging whether the unique corresponding category is consistent with the category in the first output result and the category in the second output result, if so, judging that the authenticity of the edible vegetable oil to be judged is unique, and if not, carrying out the determination of the first category and the second category again.

5. The edible vegetable oil authenticity determination system based on raman spectral characteristics according to claim 4, wherein the establishing module is specifically configured to:

Scanning Mao Youyang pieces of edible vegetable oil of different categories through a Raman spectrometer to obtain Raman spectrum original spectrograms of the edible vegetable oil of different categories, performing expansion processing on all the Raman spectrum original spectrograms to obtain expansion spectrograms corresponding to all the Raman spectrum original spectrograms, and constructing a fatty acid-Raman model of the edible vegetable oil and a triglyceride-Raman model of the edible vegetable oil based on all the expansion spectrograms.

6. An edible vegetable oil authenticity judging system based on raman spectrum characteristics, comprising:

the construction module is used for: establishing a fatty acid-Raman model of the edible vegetable oil and a triglyceride-Raman model of the edible vegetable oil;

The scanning module is used for: when the edible vegetable oil to be judged is one of peanut oil, sesame oil and camellia seed oil, scanning the edible vegetable oil to be judged to obtain a Raman spectrum, and respectively inputting the Raman spectrum into a fatty acid-Raman model of the edible vegetable oil and a triglyceride-Raman model of the edible vegetable oil to obtain a third output result and a fourth output result;

the judging module is used for: judging the authenticity of the edible vegetable oil to be judged according to the third output result, the fourth output result and the type of the edible vegetable oil to be judged, wherein the method specifically comprises the following steps:

Judging whether the categories in the third output result and the fourth output result are consistent with the categories of the edible vegetable oil to be judged, if so, judging that the authenticity of the edible vegetable oil to be judged is unique, if not, acquiring the corresponding oil materials of the edible vegetable oil to be judged, and extracting the fatty acid content and the triglyceride content of the corresponding oil materials; determining a first category of edible vegetable oil to be judged in a first category table according to the content of fatty acid, determining a second category of edible vegetable oil to be judged in a second category table according to the content of triglyceride, judging the unique category of the corresponding oil according to the first category and the second category, further judging whether the unique category is consistent with the category of the edible vegetable oil to be judged, and judging that the edible vegetable oil to be judged does not have authenticity if the unique category is still inconsistent with the category of the edible vegetable oil to be judged;

The first category table characterizes the corresponding relation between different fatty acid contents and different edible vegetable oil categories, and the second category table characterizes the corresponding relation between different triglyceride contents and different edible vegetable oil categories.

7. A computer device, characterized in that it comprises a processor coupled to a memory, in which at least one computer program is stored, which is loaded and executed by the processor, in order to make it implement the method according to any of claims 1 to 3.

8. A computer readable storage medium having stored therein at least one computer program that is loaded and executed by a processor to cause a computer to implement the method of any one of claims 1 to 3.