Tea oil quality detection device and identification method based on colorimetric sensing array

Abstract

The invention discloses a tea oil quality detection device based on a colorimetric sensor array and an identification method. The tea oil quality detection device comprises a box body, and the box body is divided into an upper box body, a first lower box body and a second lower box body; a heat dissipation device and an integrated control and decision-making system are arranged in the two sides of the upper box body, and an image acquisition device is arranged at the bottom end of the upper box body; a positioning partition plate is arranged in the second lower box body, a reaction chamber is arranged on the positioning partition plate, and a heating device is arranged at the lower end of the reaction chamber. Wherein the reaction chamber comprises a sample chamber and a bracket, a colorimetric sensing array is arranged in the bracket, the bracket and the glass cover plate are hermetically connected with the sample chamber to form the reaction chamber, and the colorimetric sensing array forms a sensor. According to the tea oil quality detection device, rapid and lossless detection of adulteration of camellia oleifera seed oil can be achieved, the detection efficiency is improved, the cost is reduced, meanwhile, the detection accuracy and reliability are guaranteed, and the method is easy and convenient to operate, visual in result and suitable for popularization and application. The types of adulterated oil in the camellia oil can be effectively and rapidly detected.

Description

Technical Field

[0001] The present invention belongs to the technical field related to tea oil quality detection, and specifically relates to a tea oil quality detection device and identification method based on a colorimetric sensor array. Background Art

[0002] Tea oil, known as the olive oil of the East, is prized for its similar nutritional profile to olive oil. It is rich in monounsaturated fatty acids, vitamins and antioxidants, which give tea oil its many health benefits, cosmetic effects and culinary superiority. Scientific studies have proven that tea oil helps prevent a variety of diseases, including cardiovascular disease, breast cancer, Alzheimer's disease and osteoporosis. In addition, long-term consumption of tea oil can enhance skin elasticity and provide protection against radiation.

[0003] Due to the high value and limited production of tea oil, there has been a phenomenon in the market where low-priced oils are adulterated into tea oil to obtain higher profits. Common adulterated oils include corn oil, soybean oil, and rapeseed oil. This adulteration not only infringes on the interests of regular producers, but also infringes on the rights and interests of consumers, and may pose a threat to health. Therefore, the development of an effective tea oil adulteration detection technology is crucial to protect consumers and maintain market order.

[0004] Traditional methods for detecting tea oil adulteration include sensory evaluation, physicochemical analysis, and spectroscopy. Sensory evaluation relies on the evaluator's perception of the color, aroma, and taste of the oil, but this method is ineffective when faced with adulterants that have similar characteristics to tea oil. In addition, there are physicochemical analysis methods, such as fatty acid composition analysis, which can accurately identify but are complex and time-consuming to operate. Others, such as spectroscopy, although they perform well in detecting adulteration, usually require expensive equipment and professional operating skills.

[0005] To overcome these limitations, this study proposed a tea oil adulteration detection device based on colorimetric sensing array (CSA). CSA technology is a detection method that simulates the human olfactory system. The color-sensitive sensor can identify different gases by detecting the color changes caused by volatile organic compounds (VOCs). CSA consists of chemically reactive dyes and substrate materials, among which metalloporphyrin dyes and pH indicators are widely used due to their high sensitivity to VOCs. CSA technology has shown its potential in detecting single gases and compounds in the food, pharmaceutical and industrial fields.

[0006] The Chinese invention patent application with publication number CN116165238A discloses a method for quickly identifying adulterated camellia oil using nuclear magnetic resonance spectroscopy. The method detects oil samples by nuclear magnetic resonance to obtain 1H NMR spectra and analyzes the nuclear magnetic resonance data, thereby achieving adulteration identification of the tested camellia oil and providing a reference basis for the practical application of camellia oil adulteration identification.

[0007] A Chinese invention patent application with publication number CN114563387A discloses a method for identifying adulteration of tea oil based on Raman spectroscopy technology. This application uses Raman spectroscopy technology and a partial least squares regression (PLS) model to quantitatively identify whether tea oil is adulterated, including collecting and processing Raman spectroscopy data, establishing a calibration model, and using the model to perform quantitative analysis on unknown samples to determine their purity and adulteration ratio.

[0008] The above patents cannot destroy the creativity of the present invention. The purpose of the present invention is to propose a camellia oil adulteration detection device and identification method based on a colorimetric sensor array in response to the current problems of complex operation and expensive detection equipment for camellia oil adulteration. Summary of the invention

[0009] In view of the above problems, the present invention provides a tea oil quality detection device and identification method based on a colorimetric sensor array, which are used to solve the technical problems in the background technology.

[0010] To achieve the above object, the technical solution adopted by the present invention is:

[0011] A tea oil quality detection device based on a colorimetric sensor array comprises a box body, which is divided into an upper box body, a first lower box body and a second lower box body; heat dissipation devices and an integrated control and decision-making system are arranged inside the two sides of the upper box body, and an image acquisition device is arranged at the bottom end of the upper box body; a positioning partition is arranged in the second lower box body, a reaction chamber is arranged on the positioning partition, a heating device is arranged at the lower end of the reaction chamber, and a software part is also included; wherein the reaction chamber comprises a sample chamber and a bracket, a colorimetric sensor array is arranged in the bracket, the bracket and a glass cover plate are sealed and connected with the sample chamber to form a reaction chamber, and the colorimetric sensor array forms a sensor.

[0012] As a further improvement of the above solution, the heat dissipation device includes a heat dissipation fan, and a dustproof net is arranged on the heat dissipation fan.

[0013] As a further improvement of the above scheme, the integrated control and decision-making system includes a Raspberry Pi and a display screen; the Raspberry Pi is equipped with a camellia oil olfactory visualization detection system, which is connected to the camera via a CSI interface and an FFC cable, and the display screen is connected to it via a DSI cable; the Raspberry Pi controls the start and stop of the heating device, the LED ring light source, and the cooling fan through a relay, and the relay and the LED ring light source controller are installed in the second lower box, and the camera collects the front image of the colorimetric sensor array as needed and stores it in the Raspberry Pi.

[0014] As a further improvement of the above scheme, the image acquisition device includes a camera mounting plate, a camera is arranged on the camera mounting plate, an LED ring light source is arranged at the lower end of the camera, and the image acquisition device is used to acquire images of the colorimetric sensor array; wherein the camera is mounted on the camera mounting plate by bolts, the LED ring light source is connected to the mounting plate by bolts, and the camera and the reaction chamber keep their central axes aligned in the vertical direction.

[0015] As a further improvement of the above scheme, the reaction chamber is placed on the heating device through a positioning partition, facing the camera device above; the bracket and glass cover of the colorimetric sensor array are connected to the sample chamber through a sealing ring to form a sealed cylindrical reaction chamber, and the reaction chamber is built with an olfactory visualization gas sensor array; the bottom surface of the reaction chamber is in direct contact with the heating surface of the heating device. The heating device uses an electric heating plate to provide a heat source.

[0016] As a further improvement of the above scheme, the box body is divided into an upper box body and a first lower box body by an intermediate plate, and a second lower box body is arranged at the side end of the first lower box body; the upper box body includes an upper box body top cover and a side cover; a positioning partition is arranged in the first lower box body, and a first rear plate and a bottom plate are arranged on both sides; the second lower box body includes a second lower box body top cover, a second rear plate is arranged at the side end of the second lower box body top cover, and a bottom plate is arranged at the bottom end of the second rear plate.

[0017] The upper box body in the box body has straight slots on both sides of the top, and the upper box body top cover seals the upper box body through the straight slots; the upper box body side has straight slots, and the side cover seals the upper box body side through the straight slots; the rectangular hole and the first circular hole at the rear of the upper box body are used to connect the heat dissipation device; the second circular hole at the rear of the upper box body is connected to the side hole of the first lower box body by a hinge; the hollow boss and the circular through hole at the bottom of the upper box body are used to position the image acquisition device; the rectangular through hole at the bottom of the upper box body is for the signal transmission cable to pass through; the first lower box body in the box body There are six holes on each side of the rear, which are used to connect with the second lower box and the top cover of the second lower box by screws; four supporting corners are set at the four corners inside the first lower box to support the positioning partition; the round hole in the front of the first lower box is used to install the buckle; the rectangular hole in the front of the first lower box is used to set and check the working temperature of the heating device; the four circular grooves on the bottom of the first lower box are used to position the heating device; the side cover is provided with positioning circular holes and rectangular through holes for installing the display screen; a hole is opened at the rear of the second rear plate in the box to allow the power cord to pass through it.

[0018] A method for identifying tea oil quality using a colorimetric sensor array-based detection device, the specific steps are as follows:

[0019] S1. Preparation of sensor array: store the prepared color-sensitive material in a dark place, and use a micro-capillary to titrate the color-sensitive material onto the polyvinylidene fluoride film to form a gas sensor array; then place the prepared sensor array in a fume hood for a period of time, and store the sensor array in a sealed bag for standby use after it stabilizes;

[0020] S2. Oil sample preparation: Use a magnetic stirrer to stir the mixed oil sample evenly, and then place the oil sample in the oil sample chamber for the experiment;

[0021] S3, heating and lighting: In the Raspberry Pi control program, turn on the cooling fan through the control program, then turn on the heating device, and then start the LED ring light source after the temperature is set;

[0022] S4. Sensor array installation: After the temperature of the heating device reaches the set value, open the glass cover of the reaction chamber, place the sensor array in the middle of the sensor array bracket, ensure that the color-sensitive material faces upward and the back faces the oil sample, then cover the cover, seal the culture dish containing the oil sample with the sealing ring of the reaction chamber, and place the reaction chamber in the positioning partition above the heating device;

[0023] S5, reaction chamber positioning and image acquisition: ensure that the reaction chamber is in direct contact with the heating device and is located directly below the camera device; select the shooting area in the Raspberry Pi control program, and the computer controls the camera to shoot the image before the sensor array reacts;

[0024] S6. Image and data analysis: The volatile gas of the oil sample reacts with the sensor array until the color stabilizes; the final stable image is input into the computer, processed and principal component analyzed using visual technology, eigenvalues ​​are extracted, and feature vectors are constructed; and adulterated oil samples are evaluated through pattern recognition methods.

[0025] As a further improvement of the above scheme, a microcapillary was used in S1 to titrate 1 μL of the color-sensitive material onto a 3 cm × 3 cm polyvinylidene fluoride membrane to form a 3 × 3 gas sensor array.

[0026] As a further improvement of the above scheme, the sensor array prepared in S1 is placed in the fume hood for 20 minutes.

[0027] As a further improvement of the above solution, the temperature in S3 is set to 100°C.

[0028] Compared with the prior art, the present invention has the following beneficial effects:

[0029] 1. The tea oil quality detection device of the present invention can realize rapid and non-destructive detection of adulteration of tea seed oil, thereby improving detection efficiency, reducing costs, and ensuring detection accuracy and reliability.

[0030] 2. The colorimetric sensor array in the present invention is simple to manufacture and low in cost, thus reducing the cost of tea oil adulteration detection.

[0031] 3. The detection operation process of the present invention is convenient, which improves the accuracy and reproducibility of the detection and enables users to easily perform the detection task. The method provided by the present invention is simple to operate and the results are visualized, which can effectively and quickly detect the types of adulterated oil in camellia oil. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a three-dimensional schematic diagram of the present invention.

[0033] Figure 2 It is a structural schematic diagram of the box body in the present invention.

[0034] Figure 3 It is a schematic diagram of the structure of the heat dissipation device in the present invention.

[0035] Figure 4 It is a structural diagram of the integrated control and decision-making system in the present invention.

[0036] Figure 5 It is a structural schematic diagram of the image acquisition device in the present invention.

[0037] Figure 6 It is a schematic diagram of the structure of the reaction chamber in the present invention.

[0038] Figure 7 for Figure 6 sectional view of .

[0039] Figure 8 It is a schematic structural diagram of the upper box body in the box body of the present invention.

[0040] Fig. 9 It is a schematic structural diagram of the first lower box body in the box body of the present invention.

[0041] Fig.10 It is a schematic structural diagram of the side cover in the box body of the present invention.

[0042] Fig.11 It is a schematic structural diagram of the second rear plate in the box body of the present invention.

[0043] Fig.12 It is a difference image of the reaction at the first minute in the image acquisition step of the identification method of the present invention.

[0044] Fig.13 It is a difference image of the reaction at the 30th minute in the image acquisition step of the identification method of the present invention.

[0045] Fig.14 This is a schematic diagram of the confusion matrix for classifying the types of adulterated tea oil using the SVM model in the image and data analysis step of the identification method of the present invention.

[0046] In the figure: 1, heat dissipation device; 2, integrated control and decision-making system; 3, image acquisition device; 4, reaction chamber; 5, box; 6, heating device; 7, side cover; 701, positioning circular hole; 702, first rectangular through hole; 8, upper box cover; 9, upper box; 901, first rectangular hole; 902, first circular hole; 903, second circular hole; 904, hollow boss; 905, circular through hole; 906, second rectangular through hole; 10, positioning partition; 11, first rear plate; 12, second lower box top Cover; 13. Second rear plate; 1301. Opening; 14. Second lower box; 15. First lower box; 1501. Side hole; 1502. Support angle; 1503. Third circular hole; 1504. Second rectangular hole; 16. Cooling fan; 17. Dust screen; 18. Raspberry Pi; 19. Display; 20. Mounting plate; 21. Camera; 22. Bolt; 23. LED ring light source; 24. Colorimetric sensor array; 25. Bracket; 26. Glass cover; 27. Sample chamber; 28. Middle plate. DETAILED DESCRIPTION

[0047] In order to enable those skilled in the art to better understand the technical solution, the present invention is described in detail below in conjunction with embodiments. The description in this section is only exemplary and explanatory and should not have any limiting effect on the scope of protection of the present invention.

[0048] like Figure 1-Figure 11 As shown, the specific scheme of this embodiment is: a tea oil quality detection device based on a colorimetric sensor array, comprising a box body 5, the box body 5 is divided into an upper box body 9, a first lower box body 15 and a second lower box body 14; a heat dissipation device 1 and an integrated control and decision-making system 2 are arranged inside the two sides of the upper box body 9, and an image acquisition device 3 is arranged at the bottom end of the upper box body 9; a positioning partition 10 is arranged in the second lower box body 14, a reaction chamber 4 is arranged on the positioning partition 10, a heating device 6 is arranged at the lower end of the reaction chamber 4, and also includes a software part; wherein the reaction chamber 4 comprises a sample chamber 27 and a bracket 25, a colorimetric sensor array 24 is arranged in the bracket 25, the bracket 25 and the glass cover plate 26 are sealed and connected with the sample chamber 27 to form a reaction chamber 4, and the colorimetric sensor array 24 forms a sensor.

[0049] The bottom surface of the reaction chamber is in direct contact with the heating surface of the heating device; and the glass cover plate is square.

[0050] like Figure 3 As shown, as a preferred embodiment of the above embodiment, the heat dissipation device 1 includes a heat dissipation fan 16 , and a dustproof net 17 is provided on the heat dissipation fan 16 .

[0051] like Figure 4As shown, as a preferred embodiment of the above embodiment, the integrated control and decision-making system 2 includes a Raspberry Pi 18 and a display screen 19; the Raspberry Pi 18 is equipped with a camellia oil olfactory visualization detection system.

[0052] like Figure 5 As shown, as a preferred embodiment of the above embodiment, the image acquisition device 3 includes a camera mounting plate 20, a camera 21 and an LED ring light source 23 for acquiring images of the colorimetric sensor array.

[0053] like Figure 6 and Figure 7 As shown, as a preferred mode of the above embodiment, the reaction chamber 4 is placed on the heating device 6 through the positioning partition 10, facing the camera device above; the bracket 25 and the glass cover 26 of the colorimetric sensor array 24 are connected to the oil sample chamber through a sealing ring to form a sealed cylindrical reaction chamber 4, and the reaction chamber 4 has an olfactory visualization gas sensor array built in; the bottom surface of the reaction chamber 4 is in direct contact with the heating surface of the heating device 6. The bottom surface of the reaction chamber 4 is in direct contact with the heating surface of the heating device 6.

[0054] The sample chamber 27 in the reaction chamber 4 contains 10 ml of the oil sample to be tested, and the inner diameter of the sample chamber 27 is between 50-60 mm; the bracket 25 of the colorimetric sensor array 24 uses a planar support to place the colorimetric sensor array 24; the PVDF membrane used by the colorimetric sensor array 24 is rectangular, and the side length is controlled between 25-30 mm, and the colorimetric sensor array 24 is placed in the middle of the bracket 25 of the colorimetric sensor array 24; a variety of color-sensitive materials are titrated on the PVDF membrane in the shape of an array, and the side with the color-sensitive material titrated is defined as the front side of the colorimetric sensor array 24, and the colorimetric sensor array 24 is placed on the bracket 25 of the colorimetric sensor array 24 with the front side facing upward.

[0055] like Figure 2 As shown, as a preferred embodiment of the above embodiment, the box body 5 is divided into an upper box body 9 and a first lower box body 15 by an intermediate plate 28, and a second lower box body 14 is arranged at the side end of the first lower box body 15; the upper box body 9 includes an upper box body top cover 8 and a side cover 7; a positioning partition 10 is arranged in the first lower box body 15, and a first rear plate 11 and a bottom plate are arranged on both sides; the second lower box body 14 includes a second lower box body top cover 12, a second rear plate 13 is arranged at the side end of the second lower box body top cover 12, and a bottom plate is arranged at the bottom end of the second rear plate 13.

[0056] like Figure 2 and Figure 8As shown, straight notches are opened on both sides of the top of the upper box 9 in the box 5, and the upper box top cover 8 seals the upper box 9 through the straight notches; straight notches are opened on the side of the upper box 9, and the side cover 7 seals the side of the upper box 9 through the straight notches; the first rectangular hole 901 and the first circular hole 902 at the rear of the upper box 9 are used to connect the heat dissipation device 1; the second circular hole 903 at the rear of the upper box 9 is connected to the side hole 1501 of the first lower box 15 by a hinge; the hollow boss 904 and the circular through hole 905 at the bottom of the upper box 9 are used to position the image acquisition device 3; the camera 21 and the LED ring light source are installed at the position of the hollow boss 904 of the upper box 9. The second rectangular through hole 906 at the bottom of the upper box 9 is for the signal transmission cable to pass through;

[0057] like Fig. 9 As shown, six side holes 1501 are respectively opened on both sides of the rear of the first lower box 15 in the box 5, which are used to connect with the second lower box 14 and the second lower box top cover 12 by screws; four supporting angles 1502 are set at the four corners inside the first lower box 15 to support the positioning partition 10; the third circular hole 1503 in front of the first lower box 15 is used to install the buckle; the second rectangular hole 1504 in front of the first lower box 15 is used to set and check the working temperature of the heating device 6; the four circular grooves 1505 at the bottom of the first lower box 15 are used to position the heating device 6; Fig.10 As shown, the side cover 7 is provided with a positioning circular hole 701 and a first rectangular through hole 702 for mounting the display screen 19;

[0058] like Fig.11 As shown, a hole 1301 is opened at the rear of the second rear plate 13 in the box body 5 to allow the power cord to pass through.

[0059] The software part includes a computer image processing program and a heating and lighting control program for processing the data collected by the hardware part and controlling the heating device and the heat dissipation device. The entire device is designed to detect the type and concentration of adulterated oil in camellia oil by analyzing the image changes produced by the interaction between the oil sample and the sensor array after heating.

[0060] A method for identifying using a detection device, the specific steps are as follows:

[0061] S1. Preparation of sensor array: Select color-sensitive materials that are sensitive to volatile gases in oil samples, mainly including two porphyrin compounds (tetraphenyl-21H, 23H-porphyrin cobalt (II), 5,10,15,20-tetrakis (4-methoxyphenyl) porphyrin cobalt (II)) and seven pH indicators (chlorophenol red, bromocresol green, methyl red, cresol red, phenol red, bromophenol blue, neutral red). Store the prepared color-sensitive materials in a dark place, use a microcapillary to titrate the color-sensitive materials onto a polyvinylidene fluoride membrane to form a gas sensor array; then place the prepared sensor array in a fume hood for a period of time, and store the sensor array in a sealed bag for later use after it stabilizes;

[0062] S2. Oil sample preparation: A total of 336 oil samples were prepared, including 216 adulterated camellia oil samples and 120 pure oil samples. The adulterated samples were made by mixing rapeseed oil, soybean oil and corn oil into camellia oil at different proportions of 10%, 20%, 30%, 40%, 60% and 80%, with 12 samples at each proportion. The pure oil samples included pure camellia oil, pure rapeseed oil, pure soybean oil and pure corn oil, of which there were 12 samples each of pure rapeseed oil, pure soybean oil and pure corn oil, and 84 samples of pure camellia oil. Use a magnetic stirrer to stir the mixed oil sample evenly, and then place the oil sample in the oil sample chamber for the experiment;

[0063] S3, heating and lighting: in the Raspberry Pi 18 control program, the cooling fan 16 is turned on through the control program, and then the heating device 6 is turned on, and after the temperature is set, the LED ring light source 23 is started;

[0064] S4, sensor array installation: after the temperature of the heating device 6 reaches the set value, open the glass cover plate 26 of the reaction chamber 4, place the sensor array in the middle of the sensor array bracket 25, ensure that the color-sensitive material faces upwards and the back faces the oil sample, then cover the cover plate, seal the culture dish containing the oil sample with the sealing ring of the reaction chamber 4, and place the reaction chamber 4 in the positioning partition 10 above the heating device 6;

[0065] S5, reaction chamber positioning and image acquisition: ensure that the reaction chamber 4 is in direct contact with the heating device 6 and is located directly below the camera device; select the shooting area in the Raspberry Pi 18 control program, and the computer controls the camera 21 to shoot the image before the sensor array reacts; respectively obtain the following Fig.12 This is the difference graph of the first minute of the reaction, such as Fig.13 This is the difference graph for the 30th minute of the reaction:

[0066] S6. Image and data analysis: The volatile gas of the oil sample reacts with the sensor array until the color stabilizes; the final stable image is input into the computer, processed and principal component analyzed using visual technology, eigenvalues ​​are extracted, and eigenvectors are constructed; the adulterated oil sample is evaluated through pattern recognition methods. The confusion matrix for classifying the types of adulterated tea oil using the SVM model is as follows: Fig.14 As shown: the tea oil samples to be tested are divided into four types of oil samples according to whether they are adulterated and the types of oil samples adulterated with them, namely pure tea oil (CO), tea oil adulterated with rapeseed oil (RC), tea oil adulterated with soybean oil (SC), and tea oil adulterated with corn oil (CC).

[0067] As a preferred embodiment of the above embodiment, in S1, a microcapillary is used to titrate 1 μL of the color-sensitive material onto a 3 cm×3 cm polyvinylidene fluoride film to form a 3×3 gas sensor array.

[0068] As a preferred embodiment of the above embodiment, the sensor array prepared in S1 is placed in the fume hood for 20 minutes.

[0069] As a preferred embodiment of the above embodiment, the temperature in S3 is set to 100°C.

[0070] The sensor array is composed of color-sensitive materials, including porphyrin compounds and pH indicators that have been screened for high sensitivity to specific volatile gases. These color-sensitive materials were dissolved in dichloromethane and anhydrous ethanol, respectively, to prepare a 2 mg / mL solution, and then fixed on a 3 cm × 3 cm polyvinylidene fluoride (PVDF) membrane through a microcapillary tube to form a 3 × 3 array layout. After the color-sensitive material was ventilated and dried on the PVDF membrane until it was stable, the sensor array was stored in a sealed bag for subsequent experiments. This design allows the sensor array to detect the type and concentration of adulterated oil in the oil sample through color changes when it comes into contact with the gas volatilized by the oil sample, thereby achieving rapid and accurate oil quality detection.

[0071] The oil sample to be tested is analyzed by a system integrated with Raspberry Pi. The system is equipped with a gas sensor array composed of porphyrin compounds and pH indicators. When the volatile gases in the oil sample come into contact with these sensors, they will cause the color of the sensors to change, and these color changes and their extent are directly related to the type and concentration of adulteration in the oil sample. Using a camera connected to the Raspberry Pi, we recorded the images of the sensor array before and after the reaction. Then, by running a software program to process these images, image data reflecting the adulteration characteristics of the oil sample can be extracted, and the type and concentration of adulterated oil in the oil sample can be accurately determined. In addition, its compact design and low-cost characteristics make the device of the present invention more portable and economical, suitable for rapid on-site detection and precise laboratory analysis.

[0072] The core of the method is that when the color-sensitive sensor array interacts with the volatilized gas of the oil sample, the color of the sensor changes. By accurately capturing and comparing the color differences of the sensor before and after the reaction, the system can associate these differences with specific types of adulterated oils, thereby achieving rapid and easy identification of samples. The method provided by the present invention is easy to operate and has visual results, and can effectively and quickly detect the types of adulterated oils in camellia oil.

[0073] It should be noted that, in this article, the terms include, contain or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. Specific examples are used in this article to illustrate the principle and implementation of the technical solution of the present invention. The above examples are only used to help understand the method of the present invention and its core idea. The above is only a preferred implementation of the present invention. It should be pointed out that due to the limitations of textual expression and the objective existence of infinite specific structures, for ordinary technicians in this technical field, without departing from the principle of the present invention, several improvements, modifications or changes can be made, and the above technical features can also be combined in an appropriate manner; these improvements, modifications, changes or combinations, or the direct application of the concept and technical solution of the invention to other occasions without improvement, should be regarded as the protection scope of the present invention.

Claims

1. A tea oil quality detection device based on a colorimetric sensor array, characterized in that: The invention comprises a box body (5), wherein the box body (5) is divided into an upper box body (9), a first lower box body (15) and a second lower box body (14); a heat dissipation device (1) and an integrated control and decision-making system (2) are arranged inside the two sides of the upper box body (9), and an image acquisition device (3) is arranged at the bottom end of the upper box body (9); a positioning partition (10) is arranged inside the second lower box body (14), a reaction chamber (4) is arranged on the positioning partition (10), a heating device (6) is arranged at the lower end of the reaction chamber (4), and also comprises a software part; wherein the reaction chamber (4) comprises a sample chamber (27) and a bracket (25), a colorimetric sensor array (24) is arranged inside the bracket (25), the bracket (25) and a glass cover plate (26) are sealed and connected with the sample chamber (27) to form a reaction chamber (4), and the colorimetric sensor array (24) forms a sensor.

2. A tea oil quality detection device based on a colorimetric sensor array according to claim 1, characterized in that: The heat dissipation device (1) comprises a heat dissipation fan (16), and a dustproof net (17) is provided on the heat dissipation fan (16).

3. The tea oil quality detection device based on colorimetric sensor array according to claim 1, characterized in that: The integrated control and decision-making system (2) comprises a Raspberry Pi (18) and a display screen (19); the Raspberry Pi (18) is equipped with a camellia oil olfactory visualization detection system.

4. The tea oil quality detection device based on colorimetric sensor array according to claim 1, characterized in that: The image acquisition device (3) comprises a camera mounting plate (20), a camera (21) is arranged on the camera mounting plate (20), and an LED ring light source (23) is arranged at the lower end of the camera (21).

5. The tea oil quality detection device based on colorimetric sensor array according to claim 1, characterized in that: The reaction chamber (4) is placed on the heating device (6) via a positioning partition (10); a camera device is arranged directly above the reaction chamber (4); a sample chamber (27) in the reaction chamber (4) contains an oil sample to be tested; and an olfactory visualization gas sensor array is built into the reaction chamber (4).

6. The tea oil quality detection device based on colorimetric sensor array according to claim 1, characterized in that: The box body (5) is divided into an upper box body (9) and a first lower box body (15) by an intermediate plate (28), and a second lower box body (14) is arranged at a side end of the first lower box body (15); the upper box body (9) comprises an upper box body top cover (8) and a side cover (7); a positioning partition plate (10) is arranged inside the first lower box body (15), and a first rear plate (11) and a bottom plate are arranged on both sides; the second lower box body (14) comprises a second lower box body top cover (12), a second rear plate (13) is arranged at a side end of the second lower box body top cover (12), and a bottom plate is arranged at a bottom end of the second rear plate (13).

7. A method for identifying the quality of tea oil, using the tea oil quality detection device based on a colorimetric sensor array according to any one of claims 1 to 6, characterized in that: The specific steps are as follows: S1. Preparation of sensor array: store the prepared color-sensitive material in a dark place, and use a micro-capillary to titrate the color-sensitive material onto a polyvinylidene fluoride film to form a gas sensor array; then place the prepared sensor array in a fume hood, and store the sensor array in a sealed bag for later use after stabilization; S2. Oil sample preparation: Use a magnetic stirrer to stir the mixed oil sample evenly, and then place the oil sample in the oil sample chamber for the experiment; S3, heating and lighting: in the control program of the Raspberry Pi (18), the cooling fan (16) is turned on through the control program, and then the heating device (6) is turned on, and after the temperature is set, the LED ring light source (23) is started; S4, sensor array installation: after the temperature of the heating device (6) reaches the set value, open the glass cover plate (26) of the reaction chamber (4), place the sensor array in the middle of the sensor array bracket (25), ensure that the color-sensitive material faces upwards and the back faces the oil sample, then cover the cover plate, seal the culture dish containing the oil sample with the sealing ring of the reaction chamber (4), and place the reaction chamber (4) in the positioning partition (10) above the heating device (6); S5, positioning of the reaction chamber (4) and image acquisition: ensuring that the reaction chamber (4) is in direct contact with the heating device (6) and is located directly below the camera device; selecting a shooting area in the Raspberry Pi (18) control program, and the computer controls the camera (21) to shoot an image of the sensor array before the reaction; S6. Image and data analysis: The volatile gas of the oil sample reacts with the sensor array until the color stabilizes; the final stable image is input into the computer, processed and principal component analyzed using visual technology, eigenvalues ​​are extracted, and feature vectors are constructed; and adulterated oil samples are evaluated through pattern recognition methods.

8. A method for identifying the quality of tea oil according to claim 7, characterized in that: In S1, 1 μL of the color-sensitive material is titrated onto a 3 cm × 3 cm polyvinylidene fluoride membrane using a microcapillary to form a 3 × 3 gas sensor array.

9. A tea oil quality identification method according to claim 7, characterized in that: The sensor array prepared in S1 was placed in the fume hood for 20 minutes.

10. A method for identifying tea oil quality according to claim 7, characterized in that: The temperature in S3 is set to 100°C.

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