Multidimensional spectrum-based bacteria liquid activity nondestructive testing device and method

Abstract

The invention discloses a bacterial liquid activity nondestructive testing device and method based on a multi-dimensional spectrum, and relates to the technical field of bacterial liquid activity detection.The device comprises a light source, a plurality of transmitting optical fiber terminals, a centrifugal tube, a receiving optical fiber terminal, a camera, a spectrograph and a computer; the angles of the transmitting optical fiber terminals relative to the centrifugal tube are different; the computer extracts the activity characteristics of the multi-dimensional spectrum bacterial liquid according to the spectrum curves and the light spot images at different angles; taking the activity characteristics of the multi-dimensional spectrum bacterial liquid as input, and obtaining the component concentration of the to-be-detected sample solution according to the activity detection model; the activity level of the to-be-detected sample solution is evaluated according to the component concentration, and the purpose of nondestructive detection of the activity of the bacterial liquid is achieved. The device and the method are easy and convenient to operate, efficient and easy to popularize, manual operation interference can be reduced, and the automation level and the accuracy of bacterial liquid activity detection are improved.

Description

Technical Field

[0001] The present application relates to the technical field of bacterial liquid activity detection, and in particular to a device and method for nondestructive detection of bacterial liquid activity based on multi-dimensional spectroscopy. Background Art

[0002] At present, the technologies used to detect bacterial activity mainly include plate culture method, flow cytometer detection method, ATPase activity detection method and other methods. The equipment relied on by these detection technologies is usually complicated to operate and requires professionally trained personnel to master it. At the same time, these methods have high requirements for manual operation and require professional personnel to perform the detection to ensure the accuracy and reliability of the test results.

[0003] Therefore, the existing bacterial liquid activity detection technology has certain limitations in terms of operation difficulty, manual dependence and detection efficiency. There is an urgent need for a simpler, more efficient and easy-to-popularize detection method to reduce manual operation interference and improve the automation level and accuracy of detection. Summary of the invention

[0004] The purpose of this application is to provide a device and method for nondestructive detection of bacterial liquid activity based on multidimensional spectroscopy, which can reduce interference from manual operations and improve the automation level and accuracy of detection.

[0005] To achieve the above objectives, this application provides the following solutions:

[0006] In a first aspect, the present application provides a non-destructive detection device for bacterial liquid activity based on multi-dimensional spectroscopy, comprising:

[0007] A light source, several transmitting optical fiber terminals, a centrifuge tube, a receiving optical fiber terminal, a camera, a spectrometer and a computer;

[0008] The light source is connected to the transmitting optical fiber terminal via an optical fiber;

[0009] The receiving optical fiber terminal is connected to the spectrometer via an optical fiber;

[0010] The camera and the spectrometer are respectively connected to the computer;

[0011] The centrifuge tube is used to hold the sample solution to be tested;

[0012] The transmitting optical fiber terminal is used to irradiate photons to the sample solution to be tested;

[0013] Each of the transmitting optical fiber terminals has a different angle relative to the centrifuge tube;

[0014] The receiving optical fiber terminal is used to receive photons transmitted from the sample solution to be tested;

[0015] The spectrometer is used to obtain spectrum curves at different angles according to the photons transmitted by the sample solution to be tested;

[0016] The camera is used to capture the light spot image of the sample solution to be tested;

[0017] The computer is used to extract multi-dimensional spectral bacterial liquid activity characteristics according to the spectral curves and the light spot images at different angles; use the multi-dimensional spectral bacterial liquid activity characteristics as input to obtain the component concentration of the sample solution to be tested according to the activity detection model; and evaluate the activity level of the sample solution to be tested according to the component concentration.

[0018] In a second aspect, the present application provides a method for nondestructive detection of bacterial liquid activity based on multidimensional spectroscopy, wherein the method for nondestructive detection of bacterial liquid activity based on multidimensional spectroscopy is implemented using the device for nondestructive detection of bacterial liquid activity based on multidimensional spectroscopy described in the first aspect, and the method for nondestructive detection of bacterial liquid activity based on multidimensional spectroscopy includes:

[0019] Acquire multidimensional spectral data of the sample solution to be tested, wherein the multidimensional spectral data includes a spot image and spectral curves at different angles;

[0020] Extracting multi-dimensional spectral bacterial liquid activity characteristics according to the spectral curves and the light spot images at different angles;

[0021] Taking the multi-dimensional spectral bacterial liquid activity characteristics as input, obtaining the component concentration of the sample solution to be tested according to the activity detection model;

[0022] The activity level of the sample solution to be tested is evaluated based on the concentration of the component.

[0023] According to the specific embodiments provided in this application, this application discloses the following technical effects:

[0024] The present application provides a device and method for nondestructive detection of bacterial liquid activity based on multidimensional spectroscopy, the device comprising: a light source, a plurality of transmitting optical fiber terminals, a centrifuge tube, a receiving optical fiber terminal, a camera, a spectrometer and a computer; each transmitting optical fiber terminal has a different angle relative to the centrifuge tube; the computer extracts the multidimensional spectral bacterial liquid activity characteristics according to the spectral curves and spot images at different angles; the multidimensional spectral bacterial liquid activity characteristics are used as input, and the component concentration of the sample solution to be tested is obtained according to the activity detection model; the activity level of the sample solution to be tested is evaluated according to the component concentration, thereby achieving the purpose of nondestructive detection of bacterial liquid activity. The device and method of the present application are simple to operate, efficient and easy to popularize, can reduce interference from manual operations, and improve the automation level and accuracy of bacterial liquid activity detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0026] FIG1( a ) is a front view of a nondestructive detection device for bacterial liquid activity based on multidimensional spectroscopy in Example 1 of the present application;

[0027] FIG1( b ) is a top view of a nondestructive detection device for bacterial liquid activity based on multidimensional spectroscopy in Example 1 of the present application;

[0028] Figure 2 This is a schematic diagram of the angles between the transmitting optical fiber terminal, the receiving optical fiber terminal, the camera and the centrifuge tube in Example 1 of the present application;

[0029] Figure 3 This is a schematic diagram of a process for nondestructive detection of bacterial liquid activity based on multidimensional spectroscopy in Example 2 of the present application;

[0030] Figure 4 Schematic diagram of the technical concept of a non-destructive detection method of bacterial liquid activity based on multi-dimensional spectroscopy in Example 2 of the present application.

[0031] Reference numerals:

[0032] 1-light source; 2-one-to-five optical fiber; 3-transmitting optical fiber terminal; 4-transmitting optical fiber terminal bracket; 5-centrifuge tube; 6-centrifuge tube bracket; 7-receiving optical fiber terminal; 8-receiving optical fiber terminal bracket; 9-one-to-two optical fiber; 10-visible light spectrometer; 11-near-infrared light spectrometer; 12-camera; 13-base. DETAILED DESCRIPTION

[0033] Research has found that the existing bacterial liquid activity detection technology is complex to operate, relies on professionals and requires a lot of manual intervention, resulting in low efficiency in the detection process and the accuracy may be affected by human factors. In addition, the operation threshold is high for non-professionals.

[0034] In addition, these methods are all contact detection, which requires the destruction or sampling of the sample itself. Each test will consume a certain amount of sample, and the sample cannot be used after the test. At the same time, these methods have problems such as long detection cycle and expensive detection equipment, and cannot complete rapid online detection.

[0035] In view of the above technical defects, this embodiment gives full play to the unique advantages of spectral technology and realizes a rapid and non-destructive detection process of samples. The device is easy to operate and users can easily get started without complex professional knowledge. In the current market, there are no commercial devices and methods for detecting the activity of bacterial liquid using spectral technology. The device and method proposed in this embodiment have opened up a new path for the commercial detection of bacterial liquid activity and provided a practical solution.

[0036] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0037] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0038] Example 1

[0039] This embodiment provides a nondestructive detection device for bacterial liquid activity based on multi-dimensional spectroscopy, including:

[0040] Light source, several transmitting optical fiber terminals, a transmitting optical fiber terminal bracket, a centrifuge tube, a centrifuge tube bracket, a receiving optical fiber terminal, a receiving optical fiber terminal bracket, a camera, a spectrometer, a computer, and a base.

[0041] The light source is connected to the transmitting optical fiber terminal through an optical fiber.

[0042] The receiving optical fiber terminal is connected to the spectrometer via an optical fiber.

[0043] The camera and the spectrometer are connected to the computer respectively.

[0044] The centrifuge tube is used to hold the sample solution to be tested.

[0045] The centrifuge tube support is used to fix the centrifuge tube.

[0046] The emitting optical fiber terminal is used to irradiate photons to the sample solution to be tested.

[0047] Each of the transmitting optical fiber terminals has a different angle relative to the centrifuge tube.

[0048] The receiving optical fiber terminal is used to receive photons transmitted from the sample solution to be tested.

[0049] The transmitting optical fiber terminal bracket is used to fix the transmitting optical fiber terminal.

[0050] The receiving optical fiber terminal bracket is used to fix the receiving optical fiber terminal.

[0051] The spectrometer is used to obtain spectral curves at different angles according to the photons transmitted by the sample solution to be tested, and the spectrometer includes a visible light spectrometer and a near-infrared light spectrometer; the visible light spectrometer and the near-infrared light spectrometer are respectively connected to the computer; the visible light spectrometer and the near-infrared light spectrometer are respectively connected to the receiving optical fiber terminal through optical fibers; the visible light spectrometer is used to obtain visible light multi-dimensional spectral data according to the visible light photons transmitted by the sample solution to be tested; the near-infrared light spectrometer is used to obtain near-infrared multi-dimensional spectral data according to the near-infrared photons transmitted by the sample solution to be tested.

[0052] The camera is used to capture the light spot image of the sample solution to be tested.

[0053] The computer is used to extract multi-dimensional spectral bacterial liquid activity characteristics according to the spectral curves and the light spot images at different angles; use the multi-dimensional spectral bacterial liquid activity characteristics as input to obtain the component concentration of the sample solution to be tested according to the activity detection model; and evaluate the activity level of the sample solution to be tested according to the component concentration.

[0054] The transmitting optical fiber terminal bracket, the centrifuge tube bracket, the receiving optical fiber terminal bracket and the camera are all fixed on the base.

[0055] As an example, as shown in Figure 1(a) and Figure 1(b), the nondestructive detection device for bacterial liquid activity based on multidimensional spectroscopy in this embodiment includes a light source 1, a one-to-five optical fiber 2, five transmitting optical fiber terminals 3, a transmitting optical fiber terminal bracket 4, a centrifuge tube 5, a centrifuge tube bracket 6, a receiving optical fiber terminal 7, a receiving optical fiber terminal bracket 8, a one-to-two optical fiber 9, a visible light spectrometer 10, a near-infrared spectrometer 11, a camera 12, and a base 13.

[0056] The light source 1 is used to provide incident light with a wavelength ranging from 360nm to 2400nm.

[0057] The light source 1 is directly connected to the one-to-five optical fiber 2.

[0058] The one-to-five optical fiber 2 is used to divide the incident light provided by the light source 1 into five parts and transmit the five parts to the transmitting optical fiber terminal 3 .

[0059] The one-to-five optical fiber 2 is directly connected to the transmitting optical fiber terminal 3 .

[0060] The transmitting optical fiber terminal 3 is used to irradiate the transmitted photons to the sample (ie, the sample solution to be tested), and the five transmitting optical fiber terminals 3 form different angles with the receiving optical fiber terminal 7 .

[0061] In addition, the angles formed by the second to fourth transmitting optical fiber terminals 3 and the receiving optical fiber terminals 7 are respectively recorded as angle 1, angle 2 and angle 3, and their specific designs are as follows: Figure 2 As shown:

[0062] The angle formed by the first transmitting optical fiber terminal 3 and the receiving optical fiber terminal 7 is recorded as 0°; the angle formed by the fifth transmitting optical fiber terminal 3 and the receiving optical fiber terminal 7 is 90°; the angles formed by the second to fourth transmitting optical fiber terminals 3 and the receiving optical fiber terminal 7 are 0°, 10°, 20° and 30° respectively, that is, Figure 2 The middle angle 1 is 10°, the angle 2 is 20°, and the angle 3 is 30°; the angle formed by the camera 12 and the first transmitting optical fiber terminal 3 is 90°.

[0063] The transmitting optical fiber terminal 3 is fixed on the transmitting optical fiber terminal bracket 4 .

[0064] The centrifuge tube 5 is used to store the sample solution to be tested.

[0065] The centrifuge tube 5 is placed on the centrifuge tube holder 6 .

[0066] The receiving optical fiber terminal 7 is used to receive the photons that pass through the sample and transmit them to the one-to-two optical fiber 9 .

[0067] The receiving optical fiber terminal 7 is fixed on the receiving optical fiber terminal bracket 8 .

[0068] The receiving optical fiber terminal 7 is directly connected to the one-to-two optical fiber 9 .

[0069] The one-to-two optical fiber 9 is used to split the photons received in the receiving optical fiber terminal 7 into two parts, and transmit them to the visible light spectrometer 10 and the near infrared spectrometer 11 respectively.

[0070] The one-to-two optical fiber 9 is directly connected to the visible light spectrometer 10 and the near infrared spectrometer 11 respectively.

[0071] The visible light spectrometer 10 is used to analyze the light in the visible light band in the one-to-two optical fiber 9 and transmit the analysis data to the computer.

[0072] The visible light spectrometer 10 is directly connected to the computer.

[0073] The near infrared spectrometer 11 is used to analyze the light in the near infrared band in the one-to-two optical fiber 9 and transmit the analysis data to the computer.

[0074] The near infrared spectrometer 11 is directly connected to the computer.

[0075] The camera 12 is used to capture the transmitted light spot of the sample and transmit the captured image to a computer.

[0076] The camera 12 is directly connected to the computer.

[0077] The base 13 is used to fix various brackets and equipment. The transmitting optical fiber bracket 4 , the centrifuge tube bracket 6 , the receiving optical fiber terminal bracket 8 and the camera 12 are all fixed on the base 13 .

[0078] The nondestructive detection device for bacterial liquid activity based on multi-dimensional spectroscopy provided in this embodiment has high integration, relatively loose detection conditions, and is easy to operate.

[0079] This embodiment uses a self-designed multi-dimensional spectrum detection device to detect the activity of the bacterial solution. Compared with the existing method, it does not need to destroy or sample the bacterial solution sample, and can achieve the purpose of non-destructive detection of the bacterial solution activity.

[0080] Example 2

[0081] like Figure 3 As shown, this embodiment provides a method for nondestructive detection of bacterial liquid activity based on multidimensional spectroscopy. The method is implemented using the device for nondestructive detection of bacterial liquid activity based on multidimensional spectroscopy described in Example 1. The method for nondestructive detection of bacterial liquid activity based on multidimensional spectroscopy includes:

[0082] S1: Acquire multi-dimensional spectral data of a sample solution to be tested, wherein the multi-dimensional spectral data includes a spot image and spectral curves at different angles.

[0083] S2: extracting multi-dimensional spectral bacterial liquid activity characteristics according to the spectral curves and the light spot images at different angles.

[0084] The multi-dimensional spectral data are spectral curves at different angles; the abscissa of the spectral curve is the light wave frequency, and the ordinate of the spectral curve is the light intensity.

[0085] S2 specifically includes:

[0086] S21: pre-processing the spectral curve at each angle to obtain a first active feature vector.

[0087] S21 specifically includes:

[0088] S21-1: Screening the first target data point in the spectral curve at each angle, wherein the first target data point is a data point on the spectral curve whose light intensity value is greater than a light intensity threshold, the horizontal coordinate of the spectral curve is the light wave frequency, and the vertical coordinate of the spectral curve is the light intensity.

[0089] S21-2: Calculate the absorbance according to the light intensity value of the first target data point.

[0090] S21-3: Obtain an absorbance curve at each angle according to the absorbance and the light wave frequency corresponding to the first target data point.

[0091] S21-4: Screening a second target data point in the absorbance curve at each angle, wherein the second target data point is a data point on the absorbance curve whose absorbance value is greater than an absorbance threshold value.

[0092] S21-5: Subtract the absorbance of the second target data points with the same light wave frequency at adjacent angles to obtain a difference absorbance curve.

[0093] S21-6: Determine a first activity characteristic vector according to the difference absorbance curve.

[0094] S22: Preprocessing the light spot image to obtain a second active feature vector, wherein the data dimension of the first active feature vector is the same as the data dimension of the second active feature vector.

[0095] S22 specifically includes:

[0096] S22-1: Selecting a region of interest in the spot image, wherein the region of interest is a region consisting of pixel points in the spot image whose brightness is greater than a brightness threshold.

[0097] S22-2: Fill and expand the region of interest into a regular area according to the horizontal spacing and vertical spacing of the region of interest, wherein the horizontal spacing is the maximum distance between pixels in the horizontal direction of the region of interest, and the vertical spacing is the maximum distance between pixels in the vertical direction of the region of interest.

[0098] S22-3: Scaling the regular region so that the data dimension corresponding to the scaled region is the same as the data dimension of the first active feature vector.

[0099] S22-4: Determine a second active feature vector based on the scaled area.

[0100] S23: Concatenate the first activity feature vector and the second activity feature vector to obtain a multi-dimensional spectral bacterial liquid activity characteristic.

[0101] S3: using the multi-dimensional spectral bacterial liquid activity characteristics as input, and obtaining the component concentration of the sample solution to be tested according to the activity detection model.

[0102] S4: Evaluate the activity level of the sample solution according to the concentration of the component.

[0103] As an example, this embodiment is based on FIG. 1(a) and FIG. 1(b), combined with Figure 3 , the above S1-S4 processes are explained in detail.

[0104] 1) The bacterial solution to be tested is injected into a centrifuge tube and placed on a centrifuge tube holder to obtain a multi-dimensional spectrum of the bacterial solution to be tested. The multi-dimensional spectrum data includes: spectrum curves at five different angles obtained by the spectrometer and a spot image obtained by the camera at an angle of 0°. The angles corresponding to the spectrum curves are dispersed within a range of 90°, and any two angles cannot be too close. In this embodiment, the angles set are: 0°, 10°, 20°, 30°, and 90°.

[0105] 2) Preprocessing the original spectral curves at five different angles obtained by the spectrometer using a computer, the preprocessing method includes:

[0106] 2-1) Filter the data points whose light intensity values ​​are greater than a certain threshold value T1 in the original spectral curve, where T1 can be selected from 0 to 200, to obtain five filtered spectral curves.

[0107] The horizontal axis of the spectrum curve is the light wave frequency, and the vertical axis is the light intensity. Data points greater than the threshold T1 are retained, and data points less than T1 are deleted.

[0108] 2-2) According to the light intensity of the data points in the five screened spectral curves, the absorbance of each data point is calculated, and the light wave frequency of each data point is combined to obtain five absorbance curves. The horizontal axis of the absorbance curve is the light wave frequency, and the vertical axis is the absorbance value. The calculation formula of absorbance is as follows:

[0109]

[0110] Where A is the absorbance, I0 is the light intensity emitted by the transmitting optical fiber terminal, I1 is the light intensity received by the receiving optical fiber terminal, and I background To measure the background light intensity value, five absorbance curves were obtained;

[0111] 2-3) Select data points whose absorbance is greater than a certain threshold value T2, wherein T2 can be selected between 0 and 0.05, to obtain five absorbance curves after screening.

[0112] 2-4) The absorbances of data points with the same light wave frequency at adjacent angles are calculated differentially to obtain 4 differential absorbance curves, and these 4 differential absorbance curves are used as activity feature 1.

[0113] For example, when the frequency of the light wave is k, the data corresponding to curve 2 is Y2, and the data corresponding to curve 1 is Y1, then the difference is Y2-Y1. The same is true when the frequency of the light wave is k+1. Finally, a curve with frequency increasing from small to large is obtained.

[0114] 3) Use a computer to preprocess the spot image at a 0° angle obtained by the camera. The preprocessing method is:

[0115] 3-1) Select the region of interest (ROI) of the spot image, record the brightness peak of the spot image as P, and then the ROI is the area consisting of all pixels in the spot image with brightness greater than 0.1P.

[0116] 3-2) The distance between the two largest pixels in the horizontal direction of the ROI is recorded as m, and the distance between the two largest pixels in the vertical direction is recorded as n. The irregular ROI is completed into an ROI feature image of size m*n using pixels with brightness 0.

[0117] 3-3) Scale the ROI feature image so that its length is the same as that of active feature 1, and use the scaled ROI feature image as active feature 2.

[0118] 4) Use activity feature 1 and activity feature 2 to fuse and obtain multi-dimensional spectral bacterial liquid activity features. The fusion method is: splicing the two up and down.

[0119] 5) Establish an activity detection model using the multi-dimensional spectral bacterial liquid activity characteristics. The detection model is: artificial neural network, convolutional neural network or partial least squares regression fitting, etc.

[0120] 6) The activity of the bacterial solution to be tested is obtained according to the activity detection model, so as to achieve the purpose of non-destructive detection of the activity of the bacterial solution.

[0121] Compared with the existing methods, the nondestructive detection method of bacterial liquid activity based on multidimensional spectroscopy provided in this embodiment does not require destruction or sampling of bacterial liquid samples, and can achieve the purpose of nondestructive detection of bacterial liquid activity.

[0122] This embodiment uses a multidimensional spectral detection method to detect the activity of the bacterial liquid. Compared with the plate culture method, it does not require sample culture, has a short detection cycle and a fast detection speed; compared with the flow cytometer, the equipment price is moderate; compared with the ATPase activity detection method, the operation requirements are low.

[0123] This embodiment uses a multi-dimensional spectral detection method to detect the activity of the bacterial liquid. Since the differences in the spectrum at various angles are taken into account, these differences greatly increase the amount of information available for analysis, and information related to the activity is extracted from these differences.

[0124] This embodiment utilizes a multi-dimensional fusion algorithm for data processing and modeling, and simultaneously uses spectral curve data and spot image data, thereby improving the dimension of information acquisition and improving detection efficiency and detection accuracy.

[0125] The nondestructive detection method for bacterial liquid activity based on multidimensional spectroscopy provided in this embodiment has low requirements for the detection environment and high applicability, and is more suitable for commercial use compared with existing laboratory detection methods.

[0126] The technical features of the above embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0127] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A nondestructive detection device for bacterial liquid activity based on multidimensional spectroscopy, characterized in that: The nondestructive detection device for bacterial liquid activity based on multidimensional spectroscopy includes: A light source, several transmitting optical fiber terminals, a centrifuge tube, a receiving optical fiber terminal, a camera, a spectrometer and a computer; The light source is connected to the transmitting optical fiber terminal via an optical fiber; The receiving optical fiber terminal is connected to the spectrometer via an optical fiber; The camera and the spectrometer are respectively connected to the computer; The centrifuge tube is used to hold the sample solution to be tested; The transmitting optical fiber terminal is used to irradiate photons to the sample solution to be tested; Each of the transmitting optical fiber terminals has a different angle relative to the centrifuge tube; The receiving optical fiber terminal is used to receive photons transmitted from the sample solution to be tested; The spectrometer is used to obtain spectrum curves at different angles according to the photons transmitted by the sample solution to be tested; The camera is used to capture the light spot image of the sample solution to be tested; The computer is used to extract multi-dimensional spectral bacterial liquid activity characteristics according to the spectral curves and the light spot images at different angles; use the multi-dimensional spectral bacterial liquid activity characteristics as input to obtain the component concentration of the sample solution to be tested according to the activity detection model; and evaluate the activity level of the sample solution to be tested according to the component concentration.

2. The nondestructive detection device for bacterial liquid activity based on multidimensional spectroscopy according to claim 1 is characterized in that: The spectrometer includes a visible light spectrometer and a near infrared light spectrometer; The visible light spectrometer and the near infrared light spectrometer are respectively connected to the computer; The visible light spectrometer and the near infrared light spectrometer are respectively connected to the receiving optical fiber terminal through optical fibers; The visible light spectrometer is used to obtain visible light multi-dimensional spectrum data according to the visible light photons transmitted by the sample solution to be tested; The near-infrared spectrometer is used to obtain near-infrared multi-dimensional spectral data according to the near-infrared photons transmitted by the sample solution to be tested.

3. The nondestructive detection device for bacterial liquid activity based on multidimensional spectroscopy according to claim 1, characterized in that: The bacterial liquid activity nondestructive detection device based on multi-dimensional spectrum also includes: a transmitting optical fiber terminal bracket and a receiving optical fiber terminal bracket; The transmitting optical fiber terminal bracket is used to fix the transmitting optical fiber terminal; The receiving optical fiber terminal bracket is used to fix the receiving optical fiber terminal.

4. The nondestructive detection device for bacterial liquid activity based on multidimensional spectroscopy according to claim 3 is characterized in that: The nondestructive detection device for bacterial liquid activity based on multi-dimensional spectroscopy also includes: a centrifuge tube support; the centrifuge tube support is used to fix the centrifuge tube.

5. The nondestructive detection device for bacterial liquid activity based on multidimensional spectroscopy according to claim 4, characterized in that: The bacterial liquid activity nondestructive detection device based on multi-dimensional spectrum also includes a base; the transmitting optical fiber terminal bracket, the centrifuge tube bracket, the receiving optical fiber terminal bracket and the camera are all fixed on the base.

6. A non-destructive detection method for bacterial liquid activity based on multi-dimensional spectroscopy, characterized in that: The method for nondestructive detection of bacterial liquid activity based on multidimensional spectroscopy is implemented by using the device for nondestructive detection of bacterial liquid activity based on multidimensional spectroscopy according to any one of claims 1 to 5. The method for nondestructive detection of bacterial liquid activity based on multidimensional spectroscopy comprises: Acquire multidimensional spectral data of the sample solution to be tested, wherein the multidimensional spectral data includes a spot image and spectral curves at different angles; Extracting multi-dimensional spectral bacterial liquid activity characteristics according to the spectral curves and the light spot images at different angles; Taking the multi-dimensional spectral bacterial liquid activity characteristics as input, obtaining the component concentration of the sample solution to be tested according to the activity detection model; The activity level of the sample solution to be tested is evaluated based on the concentration of the component.

7. The method for nondestructive detection of bacterial liquid activity based on multidimensional spectroscopy according to claim 6, characterized in that: Extracting multi-dimensional spectral bacterial liquid activity characteristics according to the spectral curves and the light spot images at different angles specifically includes: Preprocessing the spectral curve at each angle to obtain a first active feature vector; Preprocessing the spot image to obtain a second active feature vector, wherein the data dimension of the first active feature vector is the same as the data dimension of the second active feature vector; The first activity feature vector and the second activity feature vector are concatenated to obtain a multi-dimensional spectral bacterial liquid activity characteristic.

8. The method for nondestructive detection of bacterial liquid activity based on multidimensional spectroscopy according to claim 7, characterized in that: Preprocessing the spectral curve at each angle to obtain a first active feature vector specifically includes: Screening a first target data point in the spectrum curve at each angle, wherein the first target data point is a data point on the spectrum curve whose light intensity value is greater than a light intensity threshold, the abscissa of the spectrum curve is the light wave frequency, and the ordinate of the spectrum curve is the light intensity; Calculating absorbance according to the light intensity value of the first target data point; Obtaining an absorbance curve at each angle according to the absorbance and the light wave frequency corresponding to the first target data point; Screening a second target data point in the absorbance curve at each angle, wherein the second target data point is a data point on the absorbance curve whose absorbance value is greater than an absorbance threshold value; Subtract the absorbance of the second target data point with the same light wave frequency at adjacent angles to obtain a differential absorbance curve; A first activity characteristic vector is determined according to the difference absorbance curve.

9. The method for nondestructive detection of bacterial liquid activity based on multidimensional spectroscopy according to claim 7, characterized in that: Preprocessing the spot image to obtain a second active feature vector specifically includes: Selecting a region of interest in the spot image, wherein the region of interest is a region consisting of pixel points in the spot image whose brightness is greater than a brightness threshold; Fill and expand the region of interest into a regular area according to the horizontal spacing and vertical spacing of the region of interest, wherein the horizontal spacing is the maximum distance between pixels in the horizontal direction of the region of interest, and the vertical spacing is the maximum distance between pixels in the vertical direction of the region of interest; Scaling the regular region so that the data dimension corresponding to the scaled region is the same as the data dimension of the first active feature vector; A second active feature vector is determined according to the scaled region.

10. The method for nondestructive detection of bacterial liquid activity based on multidimensional spectroscopy according to claim 8, characterized in that: The calculation formula of the absorbance is: Where A is the absorbance; I0 is the light intensity value emitted by the transmitting optical fiber terminal; I1 is the light intensity value received by the receiving optical fiber terminal; I background is the background light intensity value.

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