KR100975751B1 - Real-time portable quality determination system of crude oil - Google Patents

Abstract

The present invention measures the real-time portable somatic cell count, fat, protein, lactose and non-solid content at the crude oil production site to comprehensively evaluate the quality of the crude oil, and furthermore, the productivity through the management of cow growth and low-capacity cows for individual high quality crude oil production. The aim is to develop a real-time portable quality determination system for crude oil that can be improved. The real-time portable quality determination system of crude oil of the present invention includes a crude oil supply device 1 for supplying a crude oil sample; A reagent supply device 2 for supplying a reagent that reacts with the dairy component; A mixing device 3 for mixing crude oil and a reaction reagent; A temperature control device 4 for controlling the temperature of the mixed reagent and the sample; A sample supply device 5 for supplying the mixed sample to the cell for spectrum measurement; A light source device 6 for measuring optical characteristics of the crude oil sample supplied to the measuring cell; Optical probes; Visible and near-infrared spectroscopy detection apparatus; A quality judging device 10 for analyzing the measured spectra to develop a model and to determine the quality of each dairy component; A system control device for controlling the entire system and a screen display device 12 for displaying the control and monitoring status of the entire system were developed.

Crude oil, real time, portable, quality judgment, system, absorbance

Description

A real-time portable system for predicting raw milk}

The present invention relates to a real-time portable quality determination system of crude oil capable of comprehensively evaluating and managing the quality of crude oil by measuring real-time portable somatic cell count, fat, protein, lactose and non-solid content at the crude oil production site.

Domestic crude oil production and consumption are steadily increasing at an annual average of 0.5 ~ 0.8% and 2 ~ 3%, respectively, while the self-sufficiency of crude oil is expected to drop to 59.8% in 2011 due to the continuous increase of imported dairy products. It is a big problem in the livestock industry (Korea Agricultural Research Institute, Agricultural Outlook, 2002).

Imports of crude oil have increased steadily since 1991, and in 1996 and 1997, about 25% of domestic crude oil production has been imported, increasing annually, resulting in structural supply and demand imbalance of domestic crude oil. This is because dairy companies import low-cost, high-quality imported crude oil to produce profits such as pizza cheese, functional yogurt, and formula. Therefore, in Korea, the ban on the use of non-promoter in order to regulate the production of crude oil, and is spurring the production of high-quality milk to enhance international competitiveness.

High-quality milk refers to fresh milk that has a good flavor, is rich in milk ingredients such as protein and fat, and has a low bacterial count and somatic cell count. In particular, the increase in the number of crude somatic cells affects the overall quality of the milk, which leads to a decrease in fat, lactose, protein, casein, and an increase in sodium and chlorine, which increases the economic loss of livestock farmers and improves the economic value of milk. Drop (National Veterinary Research and Quarantine Service, 2002).

In addition, the increase in somatic cell count of crude oil is used as an indicator of mastitis diagnosis in addition to the decrease in flow rate.In general, crude milk secreted from healthy mammary gland has less than 200,000 somatic cells per ml. The number increases to more than 500,000 pieces per ml. Therefore, it is possible to determine the mastitis infection of cows by measuring the somatic cell count by each ranch.

Currently, in the Danish, US, and Japanese countries, lactose, total solids, and moisture were added in addition to the existing bond payment standards such as somatic cell count, fat, and protein in keeping with income growth and well-being age. They are working hard to produce high-quality milk, including stopping milk collection and imposing fines.

In Denmark, about 85% of somatic cell counts were less than 300,000 soybeans in 2001. 74% of somatic cell counts and less than 500,000 soybeans are 92%. The United States also aims to reduce dairy somatic cell counts to less than 100,000 cells.

In Korea, the somatic cell count was temporarily improved after the implementation of the sanitary grading system, but since 1997, the degree of somatic cell count was not improved, and the distribution rate of grade 3 farms with more than 500,000 somatic cell counts was around 30%. The reason for the lack of improvement in somatic cell count is that domestic dairy farming industry is full-scaled and scaled up, and the average number of heads per farmer is increased, which limits the management of individual individuals. This is because the program is not being actively introduced.

In the case of Korea, ties were paid based on volume before 1972, and until 1992, ties were paid based on the maintenance rate. In June 1993, we started the differential payment system for milk fat and milk, and in October 1995, we divided the sanitary grade according to the germ count and somatic cell count as a differential payment system for milk value. The number of somatic cells below 250,000 is behind that of other developed countries, about 21% in 2001.

Research on quality control and safety of industrial products has been conducted in various national and public research institutes and corporate research institutes.However, the establishment of specialized research institutes for the quality control of agricultural products and the cultivation of professional manpower are insufficient. Due to the lack of data accumulation and the short history of research on quality judgment, the development of related technologies is insufficient. Therefore, the domestic development of various unit measuring equipment and equipment related to the quality determination of crude oil is difficult, so most of the facilities are dependent on imports.

Crude oil quality testing mainly includes clinical diagnosis and chemical diagnosis, but it takes a long time and requires complicated pretreatment process such as using dangerous reagents.

Automated crude oil quality measuring devices currently used at home and abroad are largely somatic cell counting device (Fossomatic) and a device that can measure protein, lactose, fat, total solids (Milkoscan). In addition, a device (Combifoss) has been developed that can simultaneously measure the somatic cell count and the quality of crude oil, but it is expensive and can only be used by some dairy companies and the equipment is large. Real-time quality measurement is not possible at. In addition, since it is an imported product, it is somewhat different from the domestic livestock farming environment, so it is not suitable for livestock farms and distribution sites. Therefore, it is necessary to develop a portable crude oil quality determination device capable of real-time measurement.

In addition, in domestic livestock farms, regardless of the quality of crude oil, milked milk is stored in a cooler and sent to a crude oil distributor to receive a bond based on quality. When the quality of crude oil is reduced or the number of somatic cells is increased, the cause of quality deterioration is searched using physicochemical methods. However, since the quality is already deteriorated, it takes much time and effort to find and solve the cause. In addition, since it is impossible to measure the quality of the crude oil produced by the livestock farmers themselves, they rely on the rating of the crude oil distributor. Therefore, for the production of high quality milk, it is necessary to manage crude oil by grade, such as measuring quality factors of real-time crude oil at the milking site.

Recently, nondestructive testing, which is used for quality inspection of agricultural products, mainly uses physical, electromagnetic, and optical characteristics of agricultural products. Near-infrared spectroscopy uses optical characteristics of a sample, and irradiates light onto the sample to non-destructively analyze internal chemical properties without affecting the sample. It is possible to analyze the whole quantity and have several spectrums and simultaneously check several physicochemical components, which makes it suitable for on-line system for rapid screening and grading in the field of agriculture, chemical and pharmaceutical industry.

The disadvantage of infrared spectroscopy is that the analytical method is empirical, and the measured value is an arbitrary value, and thus it is necessary to calibrate using a known component or condition of the sample. In general, calibration takes a lot of time and requires preprocessing of data as needed, but once a model is developed, real-time measurements of multiple components in one spectrum are possible. Overseas Prediction Model for Quality Evaluation of Agricultural Products and Foods Using Multiple Linear Regression (MLR), Partial Least Squares (PLS), Principal Component Analysis (PCA), Neural Networks Is developing.

Overseas, we have been developing quality prediction models of crude oil using near-infrared spectroscopy since the 1980s.We have developed quality judgment technology to measure protein, fat, lactose, and casein of crude oil. Commercialization has its limitations, so it is measured after physicochemical pretreatment or developing predictive models through new algorithms.

Recently, the quality of crude oil has been actively researched for nondestructive testing using the electrical and optical properties of samples. The quality measurement of crude oil using the near-infrared spectroscopy currently used is expensive, and the cell staining reagent (Ethidium bromide) used to measure somatic cell number is harmful to the human body and cannot be distributed to individual livestock farms. In addition, since the milk samples stored after milking are measured, real-time quality control of crude oil is difficult.

The present invention measures the real-time portable somatic cell count, fat, protein, lactose and non-solid content at the crude oil production site to comprehensively evaluate the quality of the crude oil, and furthermore, the productivity through the management of cow growth and low-capacity cows for individual high quality crude oil production. By developing a real-time portable quality determination system of crude oil that can be improved, the conventional problems as described above are solved.

An object of the present invention is a power supply; Sample preparation device; Sample measuring device; A quality judgment device; System control unit; And a real-time portable quality determination system of crude oil composed of a screen display device.

Another object of the present invention is to provide a method for determining the real-time portable quality of crude oil using the system.

In order to achieve the object of the present invention, the present invention provides a power supply; Sample preparation device; Sample measuring device; A quality judgment device; System control unit; And a real-time portable quality determination system of crude oil composed of a screen display device.

More specifically, in the real-time portable quality determination system of crude oil of the present invention, the sample pretreatment apparatus includes a crude oil supply device 1; Reagent supply device 2; A mixing device 3 for mixing the crude oil sample input by the crude oil supply device and the reaction reagent input by the reagent supply device; A temperature control device (4) for maintaining the temperature of the mixed sample; And a sample supply device 5 for supplying a mixed sample to the sample measurement cell 7, wherein the sample measurement device comprises: a sample measurement cell 7; A light source device 6 capable of emitting light in the visible and near infrared region; Optical probes for supplying light from the light source to the sample measuring cell 7 and transmitting the light from the sample back to the visible and near-infrared spectrometer; Visible and near-infrared spectroscopy apparatus for measuring the absorbance of somatic cell count, fat, protein, lactose and solid solids of crude oil irradiated by a light source according to the content of dairy components; And a data collection device 9,

The system control device and the quality determination device are composed of an embedded device and a measurement program, and the quality determination device allows the absorbance of the measured crude oil to be input to the Partial Least Square (PLS) calibration equation of FIG. 5 somatic cells. Somatic cell count (SCC), fat (Fat), protein (Protein), lactose (Lactose), characterized in that it is configured to predict the correlation with the reference value of solid not fat (SNF, Solid Not Fat).

The real-time portable quality determination system of crude oil of the present invention supplies power by voltage drop and rectification so as to be suitable for each device of the system through an external outlet or a chargeable power supply device 11. According to the present invention, a rechargeable lithium ion battery cell which is charged using alternating current of 90 to 250 V and supplies DC 12V can be used as a power supply device, which is easy to carry unlike a conventional oil quality determination device.

Both the crude oil feeder 1 and the reagent feeder 2 were able to supply the correct amount according to the respective reaction condition ratio (for example, 2: 1) using a quantitative motor. Reagents are methyl red, methylene blue, bromcresol purple, phenolsulfonphthalein, which are used in fuel reduction assays for microbial determination, according to the results of previous studies. Resazurin reagent, which shows the highest correlation with each crude oil component of Resazurin reagent, was used as a reaction reagent. The dye reduction test is a method that uses the ability of milk microorganisms to transfer and reduce electrons generated by using milk components for oxidation to oxygen or dye molecules. The reduction time is inversely proportional to the number of microorganisms in milk. It is characterized by faster time (Lee Suwon, Dairy Engineering, Yuhan Culture History, 2005). At this time, the supply amount of the fixed-quantity motor (ml / min) was controlled using the supply voltage of the system controller.

The mixing device (3) and the temperature control device (4) were developed using a 50 mm fan and thermoelectric element, and a separate 60 mm × 60 mm × 30 mm mixing and heating vessel was prepared for mixing the sample and the reagent. . The mixing device (3) was developed using a fan to manually mix crude oil and reaction reagents, and controlled the supply voltage of the system control device to improve the mixing performance by alternately starting and stopping the fan. In addition, the reaction time of the crude oil sample and the reagent is mixed for 5 minutes, which is the optimal reaction time, and is supplied to the sample measuring cell by the sample supply device.

The temperature controller 4 was developed by using a resistance thermometer (PT-100) and a thermoelectric element. The thermoelectric element receives the voltage of the power supply and generates one side at a high temperature and the other side generates a low temperature. At this time, the mixing apparatus 3 is heated using the high temperature thermoelectric element surface. The temperature of crude oil showed the best correlation in the case of 40 ℃, which is the optimum temperature in previous studies (Pravdova, V., B. Walczak, DL Massart, S. Kawano, K. Toyoda, and R. Tsenkova. of somatic cell count in milk based on near-infrared spectroscopy.Analytica Chimica Acta. 450: 131-141, 2001), a PID controller that feeds back and controls the temperature of the crude oil input from the RTD. In addition, Proportional-Integral-Derivative controllers have been developed. The PID controller is controlled on / off by the system control device, and the signal of the temperature controller 4 set at 40 ° C is input through the data acquisition device 9. The control time according to the outside temperature of the temperature control device 4 and the temperature of the crude oil sample is the delay time, which is the time taken for the response to reach 50% of the initial set temperature, and the time taken to rise from 10% to 90%. All of the rising time was within 10 minutes, and once preheated, it was designed to be used in the field without difficulty.

The sample supply device 5 used a metering pump as a device for mixing and mixing the mixed crude oil and the reagent. After the mixing operation is completed, the sample supply device 5 supplies the sample mixed by the control device to the sample measuring cell 7.

The sample measuring cell 7 is designed to have a rectangular flow cell, and the light transmission distance is 1 mm in consideration of the light transmittance of crude oil, and the input and output parts of which light is irradiated to improve the light transmittance are quartz. Was produced.

The light source consists of tungsten-halogen lamps that can emit light in the visible / near-infrared (VIS / NIR) region with a spectral range of 360 to 2,000 nm, and the preheating time of the light source is about 10 minutes. It is designed so that it is easy to measure the oil content in Fiber optics supply light from the light source to the sample measuring cell 7 and transmit the light from the sample to visible and near infrared spectroscopy.

Spectroscopic detection device 8 is composed of visible light spectroscopy and near infrared spectroscopy in consideration of the optical characteristics of the oil component, the visible light spectroscopy is 400 ~ 1,000 nm wavelength region at 1 nm interval, the near infrared spectroscopy 900 ~ 1,700 The wavelength range of nm was configured to allow measurement at 2 nm intervals. The light source irradiated to the crude oil sample is separated by wavelength band by a micro concave diffraction grating built through a spectroscopic detector and converted into an electrical signal by a multichannel photodiode detector and an amplification circuit. This electrical signal is converted into a digital signal by the analog input channel of the data acquisition device 9 and transmitted to the system control device via the built-in communication channel.

The spectrum of crude oil collected through the data collection device 9 is input to the system control and quality determination device, and the somatic cell number, fat, protein, lactose and non-solid content are predicted by analyzing the difference in absorbance according to the dairy component by the quality determination algorithm. The display device 12 was configured to display. The display device is supplied to the LCD device by using a voltage drop device separate from the LCD module and is designed to be directly controlled and monitored through the screen by a touch method without an input device such as a mouse and a keyboard.

The system control and quality determination device 10 is composed of an embedded device and a measurement program (FIG. 3). The system control device includes a preheated state of the spectroscopic detection device 8, a crude oil supply device 1, and a reagent supply device 2. The crude oil sample by adjusting the operation of the mixing device 3, the temperature control device 4, the sample supply device 5, etc. and by adjusting parameters such as the number of sample measurements, the data collection method, the gain, etc. according to user requirements. The spectrum of can be measured. In addition, the embedded device has TCP / IP, serial and USB ports, so that the measured values and measurement environment of the oil component analyzed in the field can be connected to the printer for printing.

The quality determination device uses the measured spectrum to predict correlations with reference values of somatic cell count, fat, protein, lactose, and solid content by Partial Least Square (PLS). The PLS prediction model for each component was developed using first and second differential spectra with varying raw spectrum, gap and smoothing intervals to correct for differences in absorbance due to nonlinearity of sample particles. Multiplicative Scatter Correction (MSC) and Standard Normal Variate and Detrending (SNV & Dtr.) Were used for the treatment of light scattering. The PLS model was developed by using cross validation to increase the reliability of the developed model, referring to the number of factors and prediction residual error sum of squares (PRESS), and correlating with the correlation coefficient (R). The standard error of calibration (SEC) was compared and selected. As the number of factors increases, the PRESS value decreases, but if the number of factors is too large, the predictive power is lowered during verification. Therefore, the number of factors that perform the F-validation and the probability of F-validation is less than 0.75 is determined as the optimal number of factors in the model. It was. The optimal PLS model was selected in consideration of the highest correlation coefficient, low correction part error and factor number. Each model developed a final model as shown in FIG. 5 using a standard error of prediction (SEP).

The measurement program is designed to enable the operation of each part of the real-time portable quality determination system of crude oil, and the dark spectrum and reference spectrum in the 400 ~ 1780 nm region, which is the wavelength region correlated with the quality factors of crude oil. The intensity of light is measured and the absorbance of crude oil is calculated and shown in the program as shown in FIG. 4 and developed to store and delete each measured spectrum.

In another aspect, the present invention provides a method for manufacturing a crude oil, comprising the steps of: i) supplying power to a real-time portable quality determination system of crude oil according to claim 1; ii) a system preparation step of turning on the power supply and preheating the light source device 6 and the mixing device 3 for 10 minutes; iii) The crude oil supply reagent and the reagent supply button of the measurement program of FIG. 3 are clicked to input crude oil and reaction reagents into the mixing device 3 by the quantitative motors of the crude oil feeder 1 and the reagent feeder 2. After mixing for a minute and maintaining the temperature of the mixed sample at 40 DEG C by means of a temperature controller and a Proportional-Integral-Derivative controller (PID controller), the mixed sample is transferred to the sample measuring cell (7) by the sample supply device. Sample pretreatment step to supply to; iv) measuring and storing the dark spectrum and the reference spectrum of the spectroscopic detection device in advance; v) Visible light spectroscopy apparatus and 900 ~ that can measure the wavelength region of 400 ~ 1,000 nm at 1 nm interval after irradiating light from the light source device 6 to the crude oil sample supplied to the sample measuring cell 7 Spectroscopic detection device composed of near-infrared spectroscopy device that can measure 1,700 nm wavelength range at 2 nm intervals, and measure the absorbance of crude oil according to the oil component and convert it into an electrical signal, and convert this electrical signal into an analog input channel of the data acquisition device 9 A sample measuring step of converting the digital signal into a digital signal through a built-in communication channel and transmitting the same to a system control apparatus; And vi) Crude absorbance of the measured sample is input to the calibration portion of the somatic cell count, fat, protein, lactose, and non-solid content of FIG. 5 to predict in the visible region. It provides a real-time portable quality determination method of crude oil comprising the step of outputting the predicted values of fat, protein, lactose and non-solid content predicted in the somatic cell number, near infrared region to the screen display device 12.

In the step ii) it is possible to use a rechargeable lithium ion type battery cell that charges using an alternating current of 90 to 250 V and supplies DC 12V as a power supply.

In the step iii), the reagent is methyl red, methylene blue, bromcresol purple, phenol sulfone used in the fuel reduction test for the determination of microorganisms according to the results of previous studies. It is preferable to use Resazurin reagent, which has the highest correlation with each of the crude oil components of Phenosulfonphthalein and Resazurin reagents, as the reaction reagent.

In step iii), the sample measuring cell 7 may use a quartz cell having a light transmission distance of 1 mm.

In step v), the light source device 6 may use a tungsten-halogen lamp having a wavelength range of 360 to 2,000 nm.

In step vi), the system controller may print the measured values of the dairy component analyzed in the field, including TCP / IP, serial, and USB ports, by connecting to the printer.

The real-time portable quality determination system of crude milk of the present invention is a device capable of quality control and determination of crude oil through real-time measurement of somatic cell count, fat, protein, lactose and solid free of crude oil in the field. After developing the predictive model by analyzing the correlation of, it is possible to simplify the evaluation of the real-time dairy components in the crude oil production site can effectively contribute to the production of high quality milk. In addition, the real-time portable quality determination system of crude oil of the present invention is composed of an embedded device 10 capable of system control and quality measurement at the same time as an automated sample pretreatment device such as crude oil supply, reagent supply, mixing, temperature control, and sample supply. It is possible to measure the quality of crude oil easily in farms. By real-time quality measurement of milk, livestock farmers manage their own somatic cell number and nutritional status to prevent the increase of low-capacity cows (cows with high somatic cell count and low milk yield) and stabilize high domestic milk supply. It works. Furthermore, real-time quality measurement of crude oil can identify the growth and nutritional status of cows and adjust the protein level of feed, so it is possible to reduce feed cost and prevent diseases such as excess of urea and ammonia in blood, and to reduce nitrogen released to manure. Contribute to the prevention of environmental pollution. When milking, it is possible to produce and supply high-quality milk through real-time quality determination of milk at the production site, contributing to income raising of livestock farmers and improvement of national health. The present invention solves the problem of milk production cost calculation between livestock farmers and distributors by developing the quality determination of portable crude oil to establish a framework of efficient payment standards. In addition, the quality evaluation technology of crude oil of the present invention can provide the basic technology necessary for the development of the real-time quality evaluation technology of agricultural products can replace the imported quality measurement-related equipment.

Hereinafter, the present invention will be described in more detail with reference to non-limiting examples. These examples are only for illustrating the present invention in more detail, and the scope of the present invention is not limited by these examples, which will be apparent to those of ordinary skill in the art to which the present invention pertains. will be.

Example  1: Real time portable quality determination system of crude oil and real time portable quality determination method of crude oil

In the real-time portable quality determination system of crude oil of the present invention, when a user turns on the system, power is supplied to each part of the system by the power supply device 11, and the display device 12 receives a light source with the message "Initializing". And a message indicating that 10 minutes is required for preheating the mixing device 3. After the preheating of the device, the crude oil supply button and the reagent supply button of the measurement program (Fig. 3) are clicked. The crude oil and reagent are input to the mixing device 3 by the quantitative motors of the crude oil supply device 1 and the reagent supply device 2. do. Crude oil and reagents input into the mixing device 3 are mixed for 5 minutes by turning the fan on and off. At this time, the temperature control device 4 maintains the optimum temperature of the sample 40 ℃ by the PID algorithm of the thermoelectric element and the system control device attached to the mixing device 3 and the temperature maintenance and control state is output to the screen display device Lose. When the mixing operation is completed, the user clicks a sample supply button to supply crude oil and reagents to the sample measuring cell 7 by the sample supply device 5, and then detects the visible and near infrared spectroscopy devices of the measurement program. The optical characteristic signal of the crude oil is converted into an electrical signal through the data collection device 9 and converted into absorbance in the system controller. At this time, the user measures and stores the dark spectrum, which is a mechanical characteristic of the spectroscopic detection device itself, and the reference spectrum considering the permeability in air, and then calculates the absorbance of crude oil. The spectrum can be displayed on the device 12 and saved with the save button. The crude oil spectrum of the measured sample is collected by the data collection device 9 for the entire region (400-1700 nm) and input into a previously developed PLS calibration model of somatic cell count, fat, protein, lactose and solid free. At this time, the PLS calibration equation calculates a model coefficient of an appropriate wavelength range (for example, 400-600 nm for somatic cell counts) for each dairy component, and then predicts the dairy component and outputs it to the screen display device 12.

The correlation between the reference value and the predicted value of each milk ingredient model was calibrated with the predictive model of FIG. 5 for a total of 100 milk samples. As a result, the somatic cell count was visible in the visible region, and the fat, protein, lactose, and solid content were all near infrared. The high correlation of 0.95 or more in the area makes it possible to determine the quality of crude oil using the real-time portable quality assessment system of crude oil. In this case, the correlation coefficient and the correction part error mean the accuracy and the error of the prediction model, for example, and in the case of the somatic cell count, for example, the correlation coefficient of the somatic cell number prediction model is 0.98 and the correction part error is 10,121. The estimated somatic cell count is 98% accurate with 10,121 errors.

In addition, the results of real-time measurement of 100 components of the crude milk sample by the real-time portable quality determination system of the crude oil of the present invention and the result of the measurement by the expensive milk quality analysis equipment (Combifoss, 6500, NIRSystem, USA) which is currently commercialized and used. As a result of prediction, the correlation coefficients of somatic cell count, fat, protein, lactose and non-solid content were all higher than 0.90, which is more than 90% accuracy when compared to commercial milk quality analysis equipment. It can be seen (see FIG. 5).

Compared to the expensive milk quality analysis equipment that is commercialized by using the developed real-time portable quality determination system of crude oil, it shows more than 90% of predictive power, and it is excellent in portability and economic efficiency for real-time quality determination in the field. It is expected to be useful in farms and dairy farms.

While the invention has been described above with reference to specific embodiments, various modifications, changes or modifications are possible in the art within the spirit and scope of the appended claims, and thus the foregoing description and drawings illustrate the invention. It should not be construed as limiting the technical spirit of the present invention but as illustrating the present invention. All documents cited in the present invention are incorporated herein by reference.

1 is a perspective view showing the configuration of a visible light and near infrared spectroscopy apparatus for measuring the quality factors of somatic cell count, fat, protein, lactose and non-solid content of crude milk according to an embodiment of the present invention.

Figure 2 is a block diagram showing the internal configuration and flow of the real-time portable quality determination system of crude oil according to an embodiment of the present invention.

3 shows a driving program of a real-time portable quality determination system of crude oil according to an embodiment of the present invention.

4 is a graph showing spectral results according to quality factors of crude oil according to an embodiment of the present invention.

Figure 5 is a prediction model of somatic cell count (SCC, Somatic cell count), fat (Fat), protein (Protein), lactose (Lactose), solid-free fat (SNF, Solid Not Fat) of crude milk according to one embodiment of the present invention The developed result is shown.

-Explanation of symbols for the main parts of the drawing-

1: Crude Oil Feeder 2: Reagent Feeder

3: mixing device 4: thermostat

5: sample supply device 6: light source device

7: Sample measuring cell 8: visible / near infrared spectroscopy

9: Data Acquisition I / O Device 10: Embedded Device for Quality Assessment and System Control

11: battery and power supply 12: LCD display

Claims (14)

Power supply; Sample preparation device; Sample measuring device; A quality judgment device; System control unit; And a real-time portable quality determination system of raw milk composed of a screen display device, The sample preparation device includes a crude oil supply device 1; Reagent supply device 2; A mixing device 3 for mixing the crude oil sample input by the crude oil supply device and the reaction reagent input by the reagent supply device; A temperature control device (4) for maintaining the temperature of the mixed sample; And a sample supply device 5 for supplying a mixed sample to the sample measuring cell 7, The sample measuring device includes a sample measuring cell 7; A light source device 6 capable of emitting light in the visible and near infrared region; Optical probes (Fiber optics) for supplying the light from the light source to the sample measuring cell (7) and transmits the light from the sample back to the visible and near infrared spectroscopy detection device (8); Visible and near-infrared spectroscopy apparatus for measuring the absorbance of the somatic cell count, fat, protein, lactose and solids of crude oil irradiated by a light source according to the content of dairy components; And a data collection device 9, The system control device and the quality determination device 10 are composed of an embedded device and a measurement program, The quality determination device measures the absorbance of crude oil in the measured samples by the reference values and absorbances of somatic cell count (SCC), fat (Fat), protein (protein), lactose (Lactose), and solid solid fat (SNF). The predicted values of somatic cell count in the visible region, fat, protein, lactose, and solid content in the near-infrared region are inputted to the partial least squares (PLS) calibration equation that indicates the correlation between A real-time portable quality determination system of crude oil, characterized in that it is configured to output. 2. The system of claim 1, wherein the power supply is a rechargeable lithium ion battery cell that charges using alternating current of 90-250 V and supplies DC 12V. The system of claim 1, wherein the reaction reagent is Resazurin. The temperature control device (4) according to claim 1, wherein the temperature control device (4) heats the mixing device (3) using a thermoelectric element, and adjusts the temperature of the mixed sample by means of a Proportional-Integral-Derivative controller (PID controller). A real-time portable quality determination system of crude oil, characterized by maintaining at ℃. 2. The real-time portable quality determination system of crude oil according to claim 1, wherein the sample measuring cell (7) is a quartz cell having a light transmission distance of 1 mm. 2. The system of claim 1, characterized in that the light source device (6) is a tungsten-halogen lamp in the wavelength range 360-2,000 nm. The spectroscopic detection device 8 is a visible light spectrometer capable of measuring a wavelength region of 400 to 1,000 nm at 1 nm intervals and a near infrared spectrometer capable of measuring a wavelength region of 900 to 1700 nm at 2 nm intervals. Real time portable quality determination system of crude oil, characterized in that the configuration. The apparatus of claim 1, wherein the system control device is configured to connect the printer to an absorbance measurement value of an oil component analyzed in the field, including TCP / IP, serial, and a USB port, so as to print the real-time portable quality of the crude oil. system. i) supplying power to the real-time portable quality determination system of the crude oil of claim 1; ii) a system preparation step of turning on the power supply and preheating the light source device 6 and the mixing device 3 for 10 minutes; iii) The crude oil and reaction reagent are input to the mixing device 3 by mixing motors of the crude oil supply device 1 and the reagent supply device 2 for 5 minutes, mixed with a temperature controller and a proportional differential controller (PID controller; Proportional). A sample pretreatment step of maintaining the temperature of the mixed sample at 40 ° C. by an integrated-derivative controller, and then supplying the mixed sample to the sample measuring cell 7 by the sample supply device; iv) measuring and storing the dark spectrum and the reference spectrum of the spectroscopic detection device in advance; v) Visible light spectroscopy apparatus and 900 ~ that can measure the wavelength region of 400 ~ 1,000 nm at 1 nm interval after irradiating light from the light source device 6 to the crude oil sample supplied to the sample measuring cell 7 A spectroscopic detection device (8) consisting of a near-infrared spectrometer capable of measuring a wavelength region of 1,700 nm at 2 nm intervals measures the absorbance of crude oil according to oil components and converts it into an electrical signal, which is then converted into an electrical signal. A sample measuring step of converting the digital signal into an analog input channel and transmitting the digital signal to the system controller through the built-in communication channel; And vi) The crude absorbance of the measured sample is input to the partial Least Squares (PLS) calibration which correlates the absorbance with the reference values of somatic cell count, fat, protein, lactose and solid content. And outputting predicted values of fat, protein, lactose and non-solid content predicted in the somatic cell count, near infrared region to the display device (12) to determine the quality of the crude oil. 10. The method of claim 9, wherein the power supply unit in step ii) is a rechargeable lithium ion battery cell charged with an alternating current of 90 to 250 V and supplying DC 12V. 10. The method according to claim 9, wherein the reaction reagent in step iii) is resazurin. 10. Method according to claim 9, characterized in that in step iii) the sample measuring cell (7) is a quartz cell with a light transmission distance of 1 mm. 10. Method according to claim 9, characterized in that in step v) the light source device (6) is a tungsten-halogen lamp with a wavelength range of 360 to 2,000 nm. 10. The method of claim 9, wherein in step vi), the system control device is configured to print the absorbance measurement values of the oil component analyzed in the field, including TCP / IP, serial and USB ports, with a printer. Real time portable quality determination method.

Images