CN115290593A - Near infrared spectrum technology-based soil organic matter rapid detection method and device - Google Patents

Abstract

The invention relates to a method and a device for rapidly detecting soil organic matters based on a near infrared spectrum technology, which are characterized in that a self-made near infrared spectrum detection device is used for collecting soil spectrum information under different humidity levels, the spectrum contains the information of the soil organic matters, 12% of soil water content is taken as reference humidity, and the spectrum is corrected through a polynomial smoothing algorithm and a humidity self-correction algorithm, so that the influence caused by different soil particle sizes and different water contents is eliminated. Then, measuring a physical and chemical truth value of organic matters in the soil by an acid potassium dichromate volumetric method, establishing a one-to-one correspondence relationship between the corrected spectral information and the organic matter content, screening characteristic wavelengths by combining a competitive self-adaptive reweighting algorithm, establishing a detection model of the organic matters in the soil, and realizing the detection of the organic matters of the same type of unknown soil samples by using the model; the sample of the invention does not need complex pretreatment, and has the advantages of high detection speed, simple and convenient operation, detection stability and high accuracy.

Description

A rapid detection method of soil organic matter based on near-infrared spectroscopy device

technical field

This application relates to the field of rapid detection of soil physical and chemical components, in particular to a method for rapid detection of soil organic matter based on near-infrared spectroscopy and a portable detection device.

Background technique

Soil is the basis for maintaining the growth of farmland plants. The soil is formed by weathering of rocks. The main component is minerals. It is a mixture of minerals and organic matter produced by rock weathering and biological activities. There are solids, gases and liquids. state. Among them, soil organic matter (Soil Organic Matter, SOM) is an important part of the soil. SOM is a carbon-containing organic compound that exists in various forms in the soil. It is the most active part of the soil and an important indicator to measure the level of soil fertility. SOM in soil is the main source of plant nutrients and plays a very important role in promoting plant growth and development, improving soil structure and improving soil water and fertilizer retention capacity. It is not difficult to see that the soil with high SOM content has a high level of fertility, which can not only provide richer nutrients for crop growth, but also has a strong ability to retain water and fertilizer, which can reduce the loss of nutrients, save the amount of chemical fertilizers, and improve the utilization rate of fertilizers. Except for the black soil area in Northeast my country, the SOM content in all parts of China is generally low. By understanding the information of soil fertility and adjusting the input of crops according to the soil properties of crop growth, the same income or higher income can be achieved with the least or most saved input, which can improve the environment, efficiently use various agricultural resources, and obtain economic benefits at the same time. benefits and environmental benefits. Therefore, mastering the information of soil organic matter content is one of the important contents of implementing precision agriculture. For the determination of organic matter content, chemical determination methods such as potassium dichromate external heating method are generally used in the laboratory. The chemical determination method has the advantages of high measurement accuracy. However, this method has high requirements for operators, takes a long time for measurement, and consumes a large amount of reagents during the measurement process. There are many disadvantages for the promotion and use in agricultural production. There are many deficiencies in the commonly used soil organic matter detection technology at present. In order to improve the development level of precision agriculture and agricultural informatization in China, a fast and accurate detection method of soil organic matter content is urgently needed.

Near-infrared spectroscopy technology is a fast, non-destructive and green modern analysis and detection technology. It has been partially applied in the field of rapid detection of food quality and food safety, and some detection devices have also been developed accordingly. However, the current food detection device has two main problems: 1. The device is bulky, expensive, and cannot be carried around, and its application range is limited, mainly used in large food enterprises; 2. All soil samples need to be air-dried, which is time-consuming Laborious, there is no device that can quickly detect the in-situ soil. Therefore, it is of great practical significance to invent a high-integration, low-cost and portable food rapid detection device and method.

Contents of the invention

In order to solve the deficiencies in the prior art, this application proposes a rapid detection method and device system based on near-infrared soil organic matter; the detection method is fast, reliable, high reproducibility, low cost, and the detection system is integrated, miniaturized, Convenience is more suitable for rapid on-site detection, which can realize rapid detection of organic matter content in soil, and is suitable for technical fields such as soil quality evaluation and environmental monitoring.

The technical scheme adopted in the present invention is as follows

The present invention collects soil spectral information through a near-infrared spectrum acquisition device, which contains a large amount of information on soil organic matter and moisture, and then adopts spectral information dimension reduction and interference information reduction methods, and uses chemometrics combined with physical and chemical experiments to establish physical and chemical values. Detection model, screening out the best band and optimal model to invert and detect the organic matter content information of the soil.

For the method and device of the present invention, the technical scheme specifically adopted is as follows: a quick detection method of soil organic matter with humidity self-correction, the steps are as follows:

Step 1, preparation of soil samples: first collect n plow layers, soil samples at 0-20cm depth of plow layers, and soil samples at different positions, each 200g ± 20g, pass through a 1mm hole sieve, use the quartering method to retain 50g, dry, Make n soil samples, where n is a positive integer;

Step 2, obtaining the physical and chemical true value of soil organic matter, using the acid potassium dichromate volumetric method to detect the content of organic matter in the soil, and obtaining the organic matter content in the soil measured by physical and chemical analysis, in g/kg;

Step 3, collection of soil organic matter spectrum: add water to the soil after drying in step 1, and configure soil samples with moisture content of 0%, 3%, 6%, 9%, 12%, 15%, 18%, and 21% , using a portable near-infrared detection device to collect spectral information of soil samples with different water contents;

Step 4, the processing of soil spectrum and extraction of characteristic wavelength: the soil spectral information that the moisture content of collecting in step 3 is 12% is carried out spectral processing; And utilize the organic matter measured value that acid potassium dichromate volumetric method detects in step 2 As a physical and chemical value, establish a one-to-one correspondence between the processed spectral information and the physical and chemical value, that is, the corresponding physical and chemical value can be known through the spectral information; then use different chemometric methods to screen the characteristic variables, reduce the data dimension, and improve the accuracy of the model ;

Step 5, establishment and evaluation of detection model: adopt partial least squares regression algorithm to set up the detection model of soil organic matter to the feature variable that step 4 is screened;

Step 6, rapid detection of soil organic matter: through data communication between Bluetooth and smart mobile terminals, the near-infrared spectral data of soil samples can be transmitted in real time; by measuring the spectral information of similar unknown quality soil samples, after the data processing described in step 4 Finally, the detection model of soil organic matter established in Step 5 is substituted to realize the detection of the organic matter content of the soil sample to be tested.

Further, in step 1, n≥100, the moisture content in the soil ranges from 0% to 20%, and the drying means that the soil sample is dried in a blast drying oven at 108 degrees Celsius for 10 hours.

Further, in step 3, the collection of the soil organic matter spectrum is as follows: with the light source as the signal source, the quartz cuvette (14) of the soil passing through the 1mm hole sieve is placed on the portable detection shell head (2) In the groove, when the light source is transmitted to the detection window (1) through the focusing lens, the soil in the quartz cuvette is irradiated, and the diffusely reflected light is transmitted to the near-infrared spectrometer through the lens, and the generated spectral data is controlled by the micro control circuit. (10) collect, transmit the spectral data to the smart terminal (18) through the bluetooth module, and obtain the diffuse reflectance near-infrared spectral data of the soil.

Further, in step 4, the spectral processing method is moisture correction algorithm and polynomial smoothing algorithm;

The moisture correction algorithm comprises the following steps:

S1. Collect near-infrared spectra of samples at different humidity levels;

S2. The collected spectral matrix X=XP+XQ+O, wherein: X is the original soil spectral matrix, P is the projection matrix of the useful subspace, mainly from the information of organic matter, and Q is the projection matrix of the interference subspace, mainly from The interference caused by moisture, O is the residual matrix, which comes from the interference of the instrument and the external environment;

S3. Calculate the difference spectrum matrix D: di=xi-xj, xi is the average value of the spectrum of samples collected under a certain humidity level, where i=1, 2...p, p represents p humidity levels, and xj is the sample collected under the reference humidity Spectral average value, where j is one of 1, 2...p, and the difference spectral matrix D is composed of di;

S4. Calculate the covariance matrix of D, and perform singular value decomposition, that is, SVD(D ^T D)=[USV ^T ], U is a left singular matrix, S is a diagonal matrix, and the elements on the diagonal matrix are from large to Singular values of small permutations, V is the right singular matrix;

S5. Take the first c columns of V to obtain a subset V _C of the V matrix; where c becomes the number of factors;

S6. Calculate the interference subspace projection matrix Q: Q=V _C V _C ^T ;

S7. Calculate the useful subspace projection matrix P: P=I-Q, I is the identity matrix, and p is also called the moisture correction matrix;

S8. Perform moisture correction on all spectral data to obtain spectral data after moisture self-correction, X ^* =XP.

The polynomial smoothing algorithm (SG) performs polynomial least squares fitting to a section of spectral curve by setting different polynomial orders and the width of the smoothing window in spectral signal processing, which is essentially a weighted average method, emphasizing The central function of the central point, the calculation formula of the SG algorithm is as follows

Among them, Xi, SG is the spectral reflectance or absorptivity after SG smoothing at wavelength i, C _j is the smoothing coefficient, which can be obtained by polynomial fitting, m is the number of smoothing windows on one side of the wavelength, and N is the normalization index.

Further, the data processing method and the detection model of soil organic matter are both embedded in the detection software of the intelligent mobile terminal.

A rapid detection system for soil organic matter content according to the present invention comprises a casing trunk (8), a head (2), a detection window (1), a head square lens (4), a sample carrier (14), and a light source module (3 ), a near-infrared spectrometer (5), a micro control circuit (10), a power management circuit (7), a rechargeable battery (12), a switch (11), a base (13), an OLED status indicator screen (17), an intelligent terminal ( 18);

The light emitted by the light source module (3) passes through the head square lens (4) on the detection window (1), and then is focused together and projected onto the sample to be tested. The light reflected by the sample passes through the head square lens (4) and is captured. Received by the near-infrared spectrometer (5), the light received by the near-infrared infrared spectrometer (5) passes through the single-point detector inside the near-infrared infrared spectrometer (5) and the DMD chip for signal extraction, amplification, and after analog-to-digital conversion, passes through The micro control circuit (10) is wirelessly transmitted to the intelligent terminal (18); the near-infrared spectrometer (5), the power management circuit (7), the rechargeable battery (12), and the switch (11) are respectively connected with the micro control circuit ( 10) are connected; the OLED status indication screen (17) is embedded on the external torso (8); the head (2), base (13) are connected with the shell torso (8) to form a protective shell.

Further, the light source module (3) is a full-band halogen light source with a working power of 1.4W, placed at an angle of 100° in the same direction, and fixed on the near-infrared spectrometer (5). On the detection window (1), the lens focuses the light at 1 mm in front of the lens, the power management circuit (7) is connected through a cable, and the light source is focused on the outer wall of the sample carrier through the lens.

Further, the micro control circuit (10) is integrated with an STM32 chip, a TM4C1297 chip and a bluetooth module to realize the control of the light source module (3) and the processing and transmission of spectral data, as well as a 38*12mm OLED status indicator screen (17 ) to display the working status of the detection device.

Further, the light source module (3), the power management circuit (7) is connected to the micro control circuit (10) through a cable, and the near-infrared spectrometer (5) is connected to the micro control circuit (10) through a USB data line; the shell of the system It is a cylinder of Φ110x180 to ensure the portability of the device; the shell of the system is divided into a head (2), a shell body (8) and a base (13), which are fixed with a screw hole (19) of Φ2*5mm; the head (2 ) has a groove of Φ70*20mm for placing the sample carrier, and there is a square window of 10*10mm in the center of the groove so that light can irradiate the sample carrier; the sample carrier (14) is a quartz cuvette of Φ60*30mm .

Beneficial effects of the present invention:

First, the rapid detection of organic matter content in soil: the present invention aims at the interference of the spectral information of moisture on the spectral information of organic matter, and eliminates the interference of water to spectral information through the moisture self-correction algorithm, and the established organic matter content in soil The detection model is more robust.

Second, the present invention inherits spectral interference correction, data preprocessing, variable screening algorithm, and detection model into the rapid detection system, simplifying the steps from spectral data collection to export to processing. The test results of soil organic matter can be quickly obtained within 8 seconds.

Third, compared with the existing conventional detection technology, the detection time of the national standard detection method of soil organic matter—acid dichromic acid volumetric method is about 1 hour, while the detection time of the present invention only needs a few seconds to produce results, and the detection speed Fast, the detection accuracy can reach 90%, and the detection accuracy is high.

Description of drawings

Figure 1 is a schematic diagram of the internal structure of a near-infrared spectrum data acquisition device. Among them (1) detection window, (2) head, (3) light source module, (4) head square lens, (5) near-infrared spectrometer, (6) USB interface, (7) power management circuit, (8) Shell torso, (9) spectrometer card slot, (10) micro control circuit, (11) switch, (12) rechargeable battery, (13) base.

Fig. 2 is a schematic diagram of a near-infrared spectroscopy data acquisition system. Among them (14) sample carrier, (15) charging interface; (16) screw hole; (17) OLED display screen; (18) intelligent terminal;

Spectral information of soil organic matter collected in the example of Figure 3

Fig.4 Spectral information of soil organic matter after moisture correction

Figure 5 Modeling evaluation of 120 samples after CARS screening wavelengths

Detailed ways

The technical solutions of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

The present invention has universality for the rapid detection of the content of internal components of granular powders. The present invention selects the detection of organic matter in soil as an implementation example, and the detection of other internal components of granular powders can refer to the method of this implementation example.

Example 1:

Describe the implementation steps of this example in detail below in conjunction with accompanying drawing:

(1) Preparation of soil samples: Collect 120 soil samples from different positions in the plow layer (0-20cm depth), each 200±20g, pass through a 1mm hole sieve, use the quartering method to retain 50g, dry, and make 120 soil samples;

(2) By adding water to the soil sample, configure soil samples with moisture content of 0%, 3%, 6%, 9%, 12%, 15%, 18%, and 21%, and use a portable near-infrared detection device to collect samples with different concentrations Spectral information of a soil sample under water volume.

(3) Acquisition of the physical and chemical true value of soil organic matter. The acid potassium dichromate volumetric method is used to detect the content of organic matter in the soil, and the content of organic matter in the soil measured by physical and chemical analysis is obtained, and the unit is g/kg.

(4) Collection of near-infrared spectrum of soil samples: the structure of a detection device for soil organic matter is shown in Figure 2, including a housing, a detection window, a focusing lens, a sample carrier, a light source module, a near-infrared spectrometer, a control circuit, and a power management circuit , rechargeable battery, switch, OLED status indicator screen, Android phone. When collecting, put the cuvette containing the soil sample in front of the detection window at the front of the casing. When the light source reaches the surface of the cuvette through the lens, the diffuse reflection light generated is received by the near-infrared spectrometer, and the near-infrared spectrometer passes the data The line transmits the received spectral information to the micro control circuit, and the micro control circuit transmits the received spectral data to the intelligent mobile terminal through Bluetooth and displays it on the human-computer interaction interface. The cuvette is a 30*Φ60mm quartz Cuvette; the light source is a full-band halogen light source, the wavelength detected by the near-infrared spectrometer 2 is 900-1700nm, the resolution is 10.53, the number of scan points is 228, the smoothness is 5 points, the average number of scan times is 5 times, and the soil organic matter Acquisition of near-infrared spectroscopy data.

(5) Spectral preprocessing and characteristic wavelength extraction: Spectral preprocessing was performed on the spectral information of 120 soil samples collected, and the moisture elimination algorithm and polynomial smoothing algorithm were used to process the diffuse reflectance spectral data, and CARS was used to filter variables , there are 22 screening variables; the characteristic wavelengths corresponding to the 22 variables are as follows:

905.53nm,965.87nm,982.37nm,1069.68nm,1073.36nm,1077.04nm1100.25nm,1123.27nm,1223.98nm,1228.63nm,1275.80nm,1300.75nm,1322.11nm,1360.95nm,1418.58nm,1422.87nm,1505.92nm, 1531.54nm, 1569.86nm, 1575.84nm, 1578.83nm, 1625.95nm,

(6) Establishment and evaluation of detection model: CARS (Competitive Adaptive Reweighting Algorithm) is used to establish a detection model of soil organic matter for the selected characteristic wavelengths. The correlation coefficient of the established model reaches 0.9159, RMSEC is 5.6357, and the model is stable sex is better. The moisture elimination algorithm and polynomial smoothing algorithm and the established soil organic matter detection model are implanted into the detection software of the intelligent mobile terminal.

(7) Use the detection model of soil organic matter established in (6) to realize the detection of similar soil samples of unknown quality: by measuring the spectral information of soil of unknown quality, and then substituting it into the inversion model of soil organic matter established, the soil in the soil can be realized. Organic matter detection. Table 1 is the retrieval of organic matter content and physical and chemical analysis results in soil by near-infrared spectroscopy technology based on moisture self-calibration

Table 1 Inversion of organic matter content and physical and chemical analysis results in soil by near-infrared spectroscopy technology based on moisture self-calibration

In the description of this specification, descriptions with reference to the terms "one embodiment", "some embodiments", "specific examples", or "some examples" mean that specific features, structures, materials described in connection with the embodiment or example Or features are included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Although the embodiments of the present invention have been shown and described, those skilled in the art can understand that various changes, modifications, substitutions and modifications can be made to these embodiments without departing from the principle and spirit of the present invention. The scope of the invention is defined by the claims and their equivalents.

Claims (9)

1. a quick detection method of the soil organic matter of humidity self-correction, it is characterized in that, step is as follows: Step 1, preparation of soil samples: first collect n plow layers, soil samples at 0-20cm depth of plow layers, and soil samples at different positions, each 200g ± 20g, pass through a 1mm hole sieve, use the quartering method to retain 50g, dry, Make n soil samples, where n is a positive integer; Step 2, obtaining the physical and chemical true value of soil organic matter, using the acid potassium dichromate volumetric method to detect the content of organic matter in the soil, and obtaining the organic matter content in the soil measured by physical and chemical analysis, in g/kg; Step 3, collection of soil organic matter spectrum: add water to the soil after drying in step 1, and configure soil samples with moisture content of 0%, 3%, 6%, 9%, 12%, 15%, 18%, and 21% , using a portable near-infrared detection device to collect spectral information of soil samples with different water contents; Step 4, the processing of soil spectrum and extraction of characteristic wavelength: the soil spectral information that the moisture content of collecting in step 3 is 12% is carried out spectral processing; And utilize the organic matter measured value that acid potassium dichromate volumetric method detects in step 2 As a physical and chemical value, establish a one-to-one correspondence between the processed spectral information and the physical and chemical value, that is, the corresponding physical and chemical value can be known through the spectral information; then use different chemometric methods to screen the characteristic variables, reduce the data dimension, and improve the accuracy of the model ; Step 5, establishment and evaluation of detection model: adopt partial least squares regression algorithm to set up the detection model of soil organic matter to the feature variable that step 4 is screened; Step 6, rapid detection of soil organic matter: through data communication between Bluetooth and smart mobile terminals, the near-infrared spectral data of soil samples can be transmitted in real time; by measuring the spectral information of similar unknown quality soil samples, after the data processing described in step 4 Finally, the detection model of soil organic matter established in Step 5 is substituted to realize the detection of the organic matter content of the soil sample to be tested. 2. The rapid detection method of a kind of humidity self-correcting soil organic matter according to claim 1, it is characterized in that, in step 1, n≥100, the moisture content range in the soil is 0%-20%, described drying Drying means that the soil samples were dried in a forced air drying oven at 108 °C for 10 h. 3. the rapid detection method of the soil organic matter of a kind of humidity self-calibration according to claim 1, it is characterized in that, in step 3, the collection of described soil organic matter spectrum is specifically as follows: take light source as signal source, will house The quartz cuvette (14) of the soil passing through the 1mm hole sieve is placed in the groove of the head (2) of the portable detection shell. When the light source is transmitted to the detection window (1) through the focusing lens, the soil in the quartz cuvette is irradiated. , the diffusely reflected light is transmitted to the near-infrared spectrometer through the lens, and the generated spectral data is collected by the micro control circuit (10), and the spectral data is transmitted to the intelligent terminal (18) through the Bluetooth module, and the diffuse reflection of the soil is obtained. Infrared spectral data. 4. the rapid detection method of the soil organic matter of a kind of humidity self-calibration according to claim 1, is characterized in that, in step 4, described spectrum processing method is moisture correction algorithm and polynomial smoothing algorithm; The moisture correction algorithm comprises the following steps: S1. Collect near-infrared spectra of samples at different humidity levels; S2. The collected spectral matrix X=XP+XQ+O, wherein: X is the original soil spectral matrix, P is the projection matrix of the useful subspace, mainly from the information of organic matter, and Q is the projection matrix of the interference subspace, mainly from The interference caused by moisture, O is the residual matrix, which comes from the interference of the instrument and the external environment; S3. Calculate the difference spectrum matrix D: di=xi-xj, xi is the average value of the spectrum of samples collected under a certain humidity level, where i=1, 2...p, p represents p humidity levels, and xj is the sample collected under the reference humidity Spectral average value, where j is one of 1, 2...p, and the difference spectral matrix D is composed of di; S4. Calculate the covariance matrix of D, and perform singular value decomposition, that is, SVD(D ^T D)=[USV ^T ], U is a left singular matrix, S is a diagonal matrix, and the elements on the diagonal matrix are from large to Singular values of small permutations, V is the right singular matrix; S5. Take the first c columns of V to obtain a subset V _C of the V matrix; where c becomes the number of factors; S6. Calculate the interference subspace projection matrix Q: Q=V _C V _C ^T ; S7. Calculate the useful subspace projection matrix P: P=I-Q, I is the identity matrix, and p is also called the moisture correction matrix; S8. Perform moisture correction on all spectral data to obtain spectral data after moisture self-correction, X ^* =XP. The polynomial smoothing algorithm (SG) performs polynomial least squares fitting to a section of spectral curve by setting different polynomial orders and the width of the smoothing window in spectral signal processing, which is essentially a weighted average method, emphasizing The central function of the central point, the calculation formula of the SG algorithm is as follows

Among them, Xi, SG is the spectral reflectance or absorptivity after SG smoothing at wavelength i, C _j is the smoothing coefficient, which can be obtained by polynomial fitting, m is the number of smoothing windows on one side of the wavelength, and N is the normalization index. 5. the rapid detection method of the soil organic matter of a kind of humidity self-calibration according to claim 1, it is characterized in that, described data processing method and the detection model of soil organic matter are all implanted into the detection software of intelligent mobile terminal middle. 6. A rapid detection system for soil organic matter content, characterized in that it comprises a shell trunk (8), a head (2), a detection window (1), a head square lens (4), a sample carrier (14), and a light source module (3), near-infrared spectrometer (5), micro control circuit (10), power management circuit (7), rechargeable battery (12), switch (11), base (13), OLED status indicator screen (17), Intelligent terminal (18); The light emitted by the light source module (3) passes through the head square lens (4) on the detection window (1), and then is focused together and projected onto the sample to be tested. The light reflected by the sample passes through the head square lens (4) and is captured. Received by the near-infrared spectrometer (5), the light received by the near-infrared infrared spectrometer (5) passes through the single-point detector inside the near-infrared infrared spectrometer (5) and the DMD chip for signal extraction, amplification, and after analog-to-digital conversion, passes through The micro control circuit (10) is wirelessly transmitted to the intelligent terminal (18); the near-infrared spectrometer (5), the power management circuit (7), the rechargeable battery (12), and the switch (11) are respectively connected with the micro control circuit ( 10) are connected; the OLED status indication screen (17) is embedded on the external torso (8); the head (2), base (13) are connected with the shell torso (8) to form a protective shell. 7. The rapid detection system of a kind of soil organic matter content according to claim 6, it is characterized in that, described light source module (3) is the halogen lamp light source of full band, working power is 1.4W, is the same direction 100 ° clip Placed at a corner and fixed on the near-infrared spectrometer (5), the front end of the light source is provided with a square lens, which is placed on the detection window (1), the lens focuses the light at 1 mm in front of the lens, and the power management circuit (7) is connected by a cable. The light source is focused on the outer wall of the sample carrier through a lens. 8. The rapid detection system of a kind of soil organic matter content according to claim 6, is characterized in that, described miniature control circuit (10) is integrated with STM32 chip and TM4C1297 chip and bluetooth module, realizes to light source module (3) The processing and transmission of control and spectral data, and the work of the 38*12mm OLED status indicator screen (17) are used to display the working status of the detection device. 9. A rapid detection system for soil organic matter content according to claim 6, characterized in that, the light source module (3), the power management circuit (7) is connected to the micro control circuit (10) through a cable, and is close to The infrared spectrometer (5) is connected to the micro control circuit (10) through a USB data cable; the shell of the system is a cylinder of Φ110x180 to ensure the portability of the device; the shell of the system is divided into a head (2), a shell trunk (8) and a The base (13) is fixed by the screw hole (19) of Φ2*5mm; the head (2) has a groove of Φ70*20mm for placing the sample carrier, and there is a square window of 10*10mm in the center of the groove, so that the light The sample carrier is irradiated; the sample carrier (14) is a quartz cuvette of Φ60*30mm.

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