Tea oil quality detection device based on colorimetric sensing array

Abstract

The utility model discloses a tea oil quality detection device based on a colorimetric sensor array, and belongs to the related technical field of tea oil quality detection.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 nondestructive detection of adulteration of camellia oleifera seed oil can be realized, the detection efficiency is improved, the cost is reduced, and meanwhile, the detection accuracy and reliability are ensured.

Description

Technical Field

[0001] This invention belongs to the technical field of tea oil quality testing, specifically a tea oil quality testing device based on a colorimetric sensor array. Background Technology

[0002] Camellia oil, hailed as the olive oil of the East, is prized for its similar nutritional composition. It is rich in monounsaturated fatty acids, vitamins, and antioxidants, which endow it with numerous health benefits, beauty benefits, and culinary advantages. Scientific research has proven that camellia oil helps prevent various diseases, including cardiovascular disease, breast cancer, Alzheimer's disease, and osteoporosis. Furthermore, long-term consumption of camellia oil can enhance skin elasticity and provide radiation protection.

[0003] Due to the high value and limited production of camellia oil, a phenomenon has emerged in the market where lower-priced oils are mixed with it to obtain higher profits. Common adulterants include corn oil, soybean oil, and rapeseed oil. This adulteration not only infringes upon the interests of legitimate producers but also violates the rights of consumers and may pose a threat to health. Therefore, developing an effective detection technology for adulterated camellia oil is crucial for protecting consumers and maintaining market order.

[0004] Traditional tea oil adulteration detection devices mostly include sensory evaluation, physicochemical analysis, and spectroscopic techniques. Sensory evaluation relies on the evaluator's perception of the oil's color, aroma, and taste, but this method is ineffective when faced with adulterants that have similar characteristics to tea oil. Physicochemical analysis methods, such as fatty acid composition analysis, while accurate, are complex and time-consuming. Other techniques, such as spectroscopic techniques, while excellent in detecting adulteration, typically require expensive equipment and specialized operating skills.

[0005] To overcome these limitations and address the issues of complex operation and expensive equipment in current camellia seed oil adulteration detection, a camellia seed oil adulteration detection device based on a colorimetric sensor array is proposed. Summary of the Invention

[0006] To address the above problems, this invention provides a tea oil quality detection device based on a colorimetric sensor array, which solves the technical problems in the background art.

[0007] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0008] A tea oil quality detection device based on a colorimetric sensor array includes a housing, which is divided into an upper housing, a first lower housing, and a second lower housing. The upper housing has heat dissipation devices and an integrated control and decision-making system installed on both sides, and an image acquisition device installed at the bottom. The second lower housing has a positioning partition with a reaction chamber on it, and a heating device at the bottom of the reaction chamber. The device also includes software. The reaction chamber includes a sample chamber and a support. A colorimetric sensor array is installed within the support. The support and a glass cover are sealed to the sample chamber to form the reaction chamber, and the colorimetric sensor array forms the sensor.

[0009] As a further improvement to the above solution, the heat dissipation device includes a cooling fan, and a dustproof screen is provided on the cooling fan.

[0010] As a further improvement to the above solution, the integrated control and decision-making system includes a Raspberry Pi and a display screen; the Raspberry Pi is equipped with a camellia seed oil olfactory visualization detection system, which is connected to the camera via a CSI interface and an FFC cable, while 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 via a circuit relay, and the circuit relay and the LED ring light source controller are installed in the second lower box, and the camera acquires front images of the colorimetric sensor array as needed and stores them in the Raspberry Pi.

[0011] As a further improvement to the above solution, the image acquisition device includes a camera mounting plate, on which a camera is mounted, and an LED ring light source is mounted at the lower end of the camera. The image acquisition device is used to acquire images of the colorimetric sensor array. The camera is mounted to the camera mounting plate by bolts, and the LED ring light source is connected to the mounting plate by bolts. At the same time, the camera and the reaction chamber are aligned with the central axis in the vertical direction.

[0012] As a further improvement to the above scheme, the reaction chamber is placed on the heating device via a positioning partition, directly facing the camera device above; the support and glass cover of the colorimetric sensor array are connected to the sample chamber via a sealing ring, forming a sealed cylindrical reaction chamber, inside which is placed an array of olfactory visualization gas sensors; 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 the heat source.

[0013] As a further improvement to the above solution, the box body is divided into an upper box body and a first lower box body by a middle plate, and a second lower box body is provided on the side 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 provided inside the first lower box body, and a first rear plate and a bottom plate are provided on both sides; the second lower box body includes a second lower box body top cover, a second rear plate is provided on the side of the second lower box body top cover, and a bottom plate is provided at the bottom of the second rear plate.

[0014] The upper housing has straight slots on both sides of its top, through which the top cover seals the upper housing. Straight slots are also present on the sides of the upper housing, through which the side covers seal the sides. A rectangular hole and a first circular hole at the rear of the upper housing are used to connect a heat dissipation device. A second circular hole at the rear of the upper housing is connected to a side hole in the lower housing using a hinge. A hollow boss and a circular through-hole at the bottom of the upper housing are used to position an image acquisition device. A rectangular through-hole at the bottom of the upper housing allows signal transmission cables to pass through. The lower housing... Six holes are opened on each of the rear sides for connecting to the second lower cabinet and the top cover of the second lower cabinet with screws; four support corners are provided inside the first lower cabinet to support the positioning partition; the round hole at the front of the first lower cabinet is for installing buckles; the rectangular hole at the front of the first lower cabinet is for setting and viewing the working temperature of the heating device; the four circular grooves at the bottom of the first lower cabinet are for positioning the heating device; the side cover has positioning round holes and rectangular through holes for installing the display screen; the second rear panel in the cabinet has a hole at the rear for the power cord to pass through.

[0015] A method for identifying tea oil quality using a colorimetric sensor array-based device, comprising the following steps:

[0016] S1. Sensor array preparation: The prepared color-sensitive material is stored in the dark, and the color-sensitive material is titrated onto the polyvinylidene fluoride membrane using a micro-capillary tube to form a gas sensor array; then the prepared sensor array is placed in a fume hood for a period of time, and after stabilization, the sensor array is stored in a sealed bag for later use.

[0017] S2. Oil sample preparation: Use a magnetic stirrer to mix the oil sample evenly, and then place the oil sample in the oil sample chamber for experimentation;

[0018] S3, Heating and Lighting: In the Raspberry Pi control program, turn on the cooling fan, then turn on the heating device, and after the temperature is set, start the LED ring light source.

[0019] S4. Sensor array installation: After the heating device reaches the set temperature, open the glass cover of the reaction chamber, place the sensor array in the middle of the sensor array support, ensuring that the color-sensitive material faces upward and the back faces the oil sample, then close the cover, seal the petri 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.

[0020] S5. Reaction Chamber Positioning and Image Acquisition: Ensure the reaction chamber is in direct contact with the heating device and located directly below the camera device; select the shooting area in the Raspberry Pi control program, and the computer controls the camera to capture images of the sensor array before the reaction;

[0021] S6. Image and Data Analysis: The volatile gases from the oil sample react with the sensor array until the color stabilizes; the final stable image is input into a computer, processed using visual technology and principal component analysis, feature values ​​are extracted, and feature vectors are constructed; adulterated oil samples are evaluated using pattern recognition methods.

[0022] As a further improvement to the above scheme, in S1, a microcapillary tube is used to drop 1 μL of color-sensitive material onto a 3 cm × 3 cm polyvinylidene fluoride membrane to form a 3 × 3 gas sensor array.

[0023] As a further improvement to the above scheme, the sensor array prepared in S1 is placed in a fume hood for 20 minutes.

[0024] As a further improvement to the above scheme, the temperature in S3 is set to 100℃.

[0025] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0026] 1. The tea oil quality detection device of the present invention can realize rapid and non-destructive detection of adulteration of tea seed oil, improve detection efficiency, reduce costs, and at the same time ensure the accuracy and reliability of detection.

[0027] 2. The colorimetric sensor array in this invention is simple to manufacture and has low cost, which reduces the cost of detecting adulteration in tea oil.

[0028] 3. The detection process of this invention is convenient, improving the accuracy and reproducibility of the detection, allowing users to easily perform detection tasks. The method provided by this invention is simple to operate and provides visualized results, enabling effective and rapid detection of adulterated oil types in camellia oil. Attached Figure Description

[0029] Figure 1 This is a three-dimensional schematic diagram of the present invention.

[0030] Figure 2 This is a schematic diagram of the structure of the box in this invention.

[0031] Figure 3 This is a schematic diagram of the heat dissipation device in this invention.

[0032] Figure 4 This is a schematic diagram of the integrated control and decision-making system in this invention.

[0033] Figure 5 This is a schematic diagram of the image acquisition device in this invention.

[0034] Figure 6 This is a schematic diagram of the reaction chamber in this invention.

[0035] Figure 7 for Figure 6 A sectional view.

[0036] Figure 8 This is a schematic diagram of the upper box of the box body of the present invention.

[0037] Figure 9 This is a schematic diagram of the structure of the first lower box in the box body of the present invention.

[0038] Figure 10 This is a schematic diagram of the side cover structure in the housing of the present invention.

[0039] Figure 11 This is a schematic diagram of the structure of the second rear plate in the housing of the present invention.

[0040] Figure 12 This is a difference image reflecting the first minute in the image acquisition step of the identification method of the present invention.

[0041] Figure 13 This is a difference image taken at the 30th minute in the image acquisition step of the identification method of the present invention.

[0042] Figure 14 This is a schematic diagram of a confusion matrix used in the image and data analysis steps of the identification method of the present invention to classify adulterated tea oil types using an SVM model.

[0043] In the diagram: 1. Heat dissipation device; 2. Integrated control and decision-making system; 3. Image acquisition device; 4. Reaction chamber; 5. Box body; 6. Heating device; 7. Side cover; 701. Positioning circular hole; 702. First rectangular through hole; 8. Top cover of upper box body; 9. Upper box body; 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 body top. 13. Second rear panel; 1301. Opening; 14. Second lower housing; 15. First lower housing; 1501. Side hole; 1502. Support angle; 1503. Third round hole; 1504. Second rectangular hole; 16. Cooling fan; 17. Dustproof mesh; 18. Raspberry Pi; 19. Display screen; 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 Implementation

[0044] To enable those skilled in the art to better understand the technical solution, the present invention will be described in detail below with reference to embodiments. The description in this part is only exemplary and explanatory, and should not be used to limit the scope of protection of the present invention in any way.

[0045] like Figures 1-11As shown, the specific solution of this embodiment is as follows: a tea oil quality detection device based on a colorimetric sensor array, including a housing 5, which is divided into an upper housing 9, a first lower housing 15, and a second lower housing 14; a heat dissipation device 1 and an integrated control and decision system 2 are arranged inside both sides of the upper housing 9, and an image acquisition device 3 is arranged at the bottom of the upper housing 9; a positioning partition 10 is arranged inside the second lower housing 14, and a reaction chamber 4 is arranged on the positioning partition 10, and a heating device 6 is arranged at the lower end of the reaction chamber 4, and a software part is also included; wherein the reaction chamber 4 includes a sample chamber 27 and a support 25, a colorimetric sensor array 24 is arranged inside the support 25, the support 25 and the glass cover 26 are sealed and connected to the sample chamber 27 to form the reaction chamber 4, and the colorimetric sensor array 24 forms a sensor.

[0046] The bottom surface of the reaction chamber is in direct contact with the heating surface of the heating device; the glass cover is square.

[0047] like Figure 3 As shown, in a preferred embodiment of the above, the heat dissipation device 1 includes a cooling fan 16, and a dustproof mesh 17 is provided on the cooling fan 16.

[0048] like Figure 4 As shown, in a preferred embodiment of the above, the integrated control and decision system 2 includes a Raspberry Pi 18 and a display screen 19; the Raspberry Pi 18 is equipped with a camellia seed oil olfactory visualization detection system.

[0049] like Figure 5 As shown, in a preferred embodiment of the above, 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.

[0050] like Figure 6 and Figure 7 As shown, in a preferred embodiment, the reaction chamber 4 is placed on the heating device 6 via a positioning partition 10, directly facing the camera device above; the support 25 and glass cover 26 of the colorimetric sensor array 24 are connected to the oil sample chamber via a sealing ring, forming a sealed cylindrical reaction chamber 4. The reaction chamber 4 contains a built-in olfactory visualization gas sensor array; the bottom surface of the reaction chamber 4 is in direct contact with the heating surface of the heating device 6.

[0051] The sample chamber 27 in the reaction chamber 4 contains 10 ml of the oil sample to be tested. The inner diameter of the sample chamber 27 is between 50-60 mm. The support 25 of the colorimetric sensor array 24 is used to support the colorimetric sensor array 24 in a planar manner. The PVDF membrane used for the colorimetric sensor array 24 is rectangular with a side length controlled between 25-30 mm. The colorimetric sensor array 24 is placed in the middle of the support 25. Multiple color-sensitive materials are titrated on the PVDF membrane in an array shape. The side with the color-sensitive materials is defined as the front side of the colorimetric sensor array 24. The colorimetric sensor array 24 is placed on the support 25 with the front side facing up.

[0052] like Figure 2 As shown, in a preferred embodiment of the above, the box body 5 is divided into an upper box body 9 and a first lower box body 15 by a middle plate 28. A second lower box body 14 is provided on the side 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 provided inside the first lower box body 15, and a first rear plate 11 and a bottom plate are provided on both sides. The second lower box body 14 includes a second lower box body top cover 12, a second rear plate 13 is provided on the side of the second lower box body top cover 12, and a bottom plate is provided at the bottom of the second rear plate 13.

[0053] like Figure 2 and Figure 8 As shown, the upper housing 9 in the housing 5 has straight slots on both sides of its top, and the top cover 8 seals the upper housing 9 through these slots. The upper housing 9 also has straight slots on its sides, and the side cover 7 seals the sides of the upper housing 9 through these slots. The first rectangular hole 901 and the first circular hole 902 at the rear of the upper housing 9 are used to connect the heat dissipation device 1. The second circular hole 903 at the rear of the upper housing 9 is connected to the side hole 1501 of the first lower housing 15 by a hinge. The hollow boss 904 and the circular through hole 905 at the bottom of the upper housing 9 are used to position the image acquisition device 3. The camera 21 and the LED ring light source are installed at the hollow boss 904 position of the upper housing 9. The second rectangular through hole 906 at the bottom of the upper housing 9 allows the signal transmission cable to pass through it.

[0054] like Figure 9 As shown, the first lower housing 15 in the housing 5 has six side holes 1501 on each of its rear sides for connecting with the second lower housing 14 and the top cover 12 of the second lower housing via screws; four support corners 1502 are provided inside the first lower housing 15 to support the positioning partition 10; the third round hole 1503 at the front of the first lower housing 15 is for installing a buckle; the second rectangular hole 1504 at the front of the first lower housing 15 is for setting and viewing the operating temperature of the heating device 6; the four circular grooves 1505 at the bottom of the first lower housing 15 are for positioning the heating device 6; as shown Figure 10 As shown, the side cover 7 has a positioning round hole 701 and a first rectangular through hole 702 for mounting the display screen 19;

[0055] like Figure 11 As shown, the second rear panel 13 in the housing 5 has an opening 1301 at the rear to allow the power cord to pass through.

[0056] The software component includes computer image processing and heating and lighting control programs, used to process data acquired by the hardware and control the heating and cooling devices. The entire device is designed to detect the type and concentration of adulterated oil in camellia seed oil by analyzing image changes generated by the interaction of the oil sample with the sensor array after heating.

[0057] A method for identification using a detection device, comprising the following specific steps:

[0058] S1. Sensor Array Preparation: Select color-sensitive materials sensitive to volatile gases from oil samples, mainly including two porphyrin compounds (tetraphenyl-21H,23H-porphyrin cobalt(II) and 5,10,15,20-tetra(4-methoxyphenyl)porphyrin cobalt(II)) and seven pH indicators (chlorophenol red, bromocresol green, methyl red, cresol red, phenol red, bromophenol blue, and neutral red). Store the prepared color-sensitive materials in the dark, and use a micro-capillary to titrate the 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 until it stabilizes, and then store the sensor array in a sealed bag for later use.

[0059] 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, with 12 samples each of pure rapeseed oil, pure soybean oil, and pure corn oil, and 84 samples of pure camellia oil. The mixed oil samples were thoroughly stirred using a magnetic stirrer and then placed in the oil sample chamber for experimentation.

[0060] S3, Heating and Lighting: In the Raspberry Pi 18 control program, turn on the cooling fan 16 through the control program, then turn on the heating device 6, and after the temperature is set, start the LED ring light source 23.

[0061] S4. Sensor array installation: After the heating device 6 reaches the set temperature, open the glass cover 26 of the reaction chamber 4, place the sensor array in the middle of the sensor array support 25, ensuring that the color-sensitive material faces upward and the back faces the oil sample, then close the cover, seal the petri 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.

[0062] S5. Reaction Chamber Positioning and Image Acquisition: Ensure that reaction chamber 4 is in direct contact with 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 camera 21 to capture images of the sensor array before the reaction; obtain images as follows: Figure 12 To show the difference in the first minute, such as Figure 13 A graph showing the difference at 30 minutes:

[0063] S6. Image and Data Analysis: The volatile gases from the oil sample react with the sensor array until the color stabilizes; the final stable image is input into a computer for processing and principal component analysis using visual techniques to extract feature values ​​and construct feature vectors; adulterated oil samples are evaluated using pattern recognition methods. The confusion matrix for classifying adulterated tea oil types using an SVM model is shown below. Figure 14 As shown, the tea oil samples to be tested were divided into four categories according to whether they were adulterated and the type of oil mixed in: 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).

[0064] As a preferred embodiment of the above, in S1, a microcapillary tube is used to drop 1 μL of color-sensitive material onto a 3 cm × 3 cm polyvinylidene fluoride membrane to form a 3 × 3 gas sensor array.

[0065] As a preferred embodiment of the above, the sensor array prepared in S1 is placed in a fume hood for 20 minutes.

[0066] As a preferred embodiment of the above, the temperature in S3 is set to 100°C.

[0067] The sensor array is composed of color-sensitive materials, including porphyrin compounds and pH indicators selected for high sensitivity to specific volatile gases. These color-sensitive materials were dissolved separately in dichloromethane and anhydrous ethanol to prepare solutions of 2 mg / mL, and then fixed onto a 3 cm × 3 cm polyvinylidene fluoride (PVDF) membrane using a microcapillary tube, forming a 3 × 3 array. After the color-sensitive materials had dried and stabilized on the PVDF membrane, the sensor array was stored in a sealed bag for subsequent experimental use. This design allows the sensor array to detect the type and concentration of adulterated oil in an oil sample by observing color changes upon contact with gases emitted from the oil sample, thus achieving rapid and accurate oil quality detection.

[0068] This invention utilizes a system integrated with a Raspberry Pi to analyze oil samples. The system contains a gas sensor array composed of porphyrin compounds and a pH indicator. When volatile gases in the oil sample come into contact with these sensors, they cause color changes, and these color changes and their degrees are directly correlated with the type and concentration of adulterants in the oil sample. Using a camera connected to the Raspberry Pi, images of the sensor array before and after the reaction are recorded. These images are then processed by software programs to extract image data reflecting the characteristics of oil adulteration, enabling accurate determination of the type and concentration of adulterated oil in the sample. Furthermore, its compact design and low cost make the device more portable and economical, suitable for rapid on-site detection and precise laboratory analysis.

[0069] The core of this method lies in the fact that when the color-sensitive sensor array interacts with the gas volatilized from the oil sample, the sensor's color changes. By accurately capturing and comparing the color difference of the sensor before and after the reaction, this system can link these differences to specific types of adulterated oils, achieving rapid and convenient identification of the sample. The method provided by this invention is simple to operate and provides visualized results, effectively enabling rapid detection of adulterated oil types in camellia oil.

[0070] It should be noted that, in this document, the terms "including," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Specific examples have been used in this document to illustrate the principles and implementation methods of the present invention. These examples are merely for the purpose of helping to understand the method and core ideas of the present invention. The above descriptions are only preferred embodiments of the present invention. It should be pointed out that, due to the limitations of written expression and the objective existence of infinite specific structures, those skilled in the art can make several improvements, modifications, or variations without departing from the principles of the present invention, and can also combine the above technical features in an appropriate manner. These improvements, modifications, variations, or combinations, or the direct application of the inventive concept and technical solution to other situations without modification, should all be considered within the scope of protection of the present invention.

Claims

1. A tea oil quality detection device based on a colorimetric sensor array, characterized in that, The system includes a housing (5), which is divided into an upper housing (9), a first lower housing (15), and a second lower housing (14). The upper housing (9) has a heat dissipation device (1) and an integrated control and decision system (2) installed inside both sides. An image acquisition device (3) is installed at the bottom of the upper housing (9). The second lower housing (14) has a positioning partition (10) installed inside. A reaction chamber (4) is installed on the positioning partition (10). A heating device (6) is installed at the bottom of the reaction chamber (4). The system also includes a software component. The reaction chamber (4) includes a sample chamber (27) and a support (25). A colorimetric sensor array (24) is installed inside the support (25). The support (25) and the glass cover (26) are sealed together with the sample chamber (27) to form the reaction chamber (4). The colorimetric sensor array (24) forms a sensor.

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

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

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

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

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

Images