A method and apparatus for detecting phytoplankton

Abstract

The application discloses a kind of phytoplankton detection method and device, method includes: multiple different wavelength excitation light is sequentially incident to water sample, corresponding each wavelength excitation light, measure the light intensity after excitation light transmits through water sample and measure the light intensity of light generated by water sample under excitation light irradiation, respectively obtain the absorption spectrum data and emission spectrum data of water sample;Further according to absorption spectrum data, emission spectrum data and the characteristic curve of each kind of phytoplankton, analysis obtains phytoplankton information in water sample, the characteristic curve of phytoplankton describes the absorption performance of different wavelength light of phytoplankton and the performance of light generated by phytoplankton under different wavelength light irradiation.The application is based on the absorption performance of different wavelength light of phytoplankton in water sample and the performance of light generated by phytoplankton under different wavelength light irradiation, realizes the detection of phytoplankton in water sample, can be in real time on-line to the detection of phytoplankton in water sample, detection is fast.

Description

Technical Field

[0001] This invention relates to the field of environmental engineering, and in particular to a method and apparatus for detecting phytoplankton. Background Technology

[0002] Because lakes have relatively poor water mobility, freshwater eutrophication is most prominent in lakes. Marine eutrophication mainly occurs in coastal waters and bay areas.

[0003] Eutrophication of water bodies leads to excessive proliferation of phytoplankton, resulting in algal blooms and red tides, which seriously endanger human health and sustainable economic development. Real-time online classification and concentration detection of phytoplankton are fundamental for early warning of algal blooms and red tides. However, traditional laboratory-based analytical methods for measuring phytoplankton concentration are time-consuming and cumbersome, resulting in low measurement frequency and high costs, far from meeting the requirements. Therefore, developing a rapid, real-time online detection solution has become an urgent need. Summary of the Invention

[0004] The purpose of this invention is to provide a method and apparatus for detecting phytoplankton, which can detect phytoplankton in water samples in real time and online, and the detection is rapid.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] A method for detecting phytoplankton includes:

[0007] Multiple excitation lights of different wavelengths are sequentially incident on a water sample. For each wavelength of excitation light, the light intensity of the excitation light after passing through the water sample and the light intensity of the light produced by the water sample under the excitation light are measured. Absorption spectral data and emission spectral data of the water sample are obtained respectively. The absorption spectral data is a data set formed by the light intensity of the excitation light of different wavelengths after passing through the water sample, and the emission spectral data is a data set formed by the light intensity of the light produced by the water sample under the excitation light of different wavelengths.

[0008] Based on the absorption spectrum data, the emission spectrum data, and the characteristic curves of various phytoplankton, the phytoplankton information in the water sample is obtained through analysis. The characteristic curves of phytoplankton describe the absorption performance of phytoplankton to different wavelengths of light and the light-producing performance of phytoplankton under different wavelengths of light.

[0009] Preferably, the excitation light of various wavelengths includes at least ten different wavelengths in the range of 360 nm to 650 nm.

[0010] Preferably, the phytoplankton information in the water sample is obtained by analyzing the absorption spectral data, the emission spectral data, and the characteristic curves of various phytoplankton species, including:

[0011] The absorption spectrum data, emission spectrum data, and characteristic curves of various phytoplankton are processed and analyzed using the non-negative least squares method to obtain the types of phytoplankton in the water sample.

[0012] Preferably, the phytoplankton information in the water sample is obtained by analyzing the absorption spectral data, the emission spectral data, and the characteristic curves of various phytoplankton species, including:

[0013] If, based on the absorption spectrum data, the emission spectrum data, and the characteristic curves of various phytoplankton, it is determined that the water sample contains a first type of phytoplankton, then, based on the characteristic curve of the first type of phytoplankton, the content information of the first type of phytoplankton in the water sample is calculated using the following formula:

[0014] ;

[0015] In the formula: P h The characteristic curve of the first phytoplankton, k emi,h k represents the emission characteristic coefficient of the first phytoplankton species under the irradiation of the i-th type of excitation light. yi k represents the interference coefficient of the yellow substance under the irradiation of the i-th type of excitation light. exi,h k represents the absorption characteristic coefficient of the first phytoplankton under the irradiation of the i-th type of excitation light. ni λ represents the turbidity interference coefficient under the irradiation of the i-th type of excitation light, λ1 represents the emission-related factor, λ2 represents the absorption-related factor, I represents that there are a total of I different wavelengths of excitation light, and c represents the concentration of the first type of phytoplankton.

[0016] Preferably, for any phytoplankton, obtaining the emission characteristic coefficient and absorption characteristic coefficient of the phytoplankton includes:

[0017] Using J concentration gradient phytoplankton solutions, for the j-th concentration phytoplankton solution, I different wavelengths of excitation light are sequentially used to irradiate the j-th concentration phytoplankton solution. For each type of excitation light irradiation, the light intensity of the excitation light after passing through the solution and the light intensity of the solution under the excitation light irradiation are measured.

[0018] The formula for calculating the emission characteristic coefficient is expressed as:

[0019] ;

[0020] Where, k emic represents the emission characteristic coefficient of phytoplankton under the irradiation of the i-th type of excitation light. j F represents the concentration of the j-th phytoplankton solution. emi,j The light intensity of the phytoplankton solution of concentration j under the irradiation of the i-th type of excitation light is represented.

[0021] The formula for calculating the absorption characteristic coefficient is expressed as follows:

[0022] ;

[0023] Where, k exi F represents the absorption characteristic coefficient of phytoplankton under the irradiation of the i-th type of excitation light. exi,j This represents the light intensity of the i-th type of excitation light after passing through a phytoplankton solution of concentration j;

[0024] , , .

[0025] Preferably, obtaining the interference coefficient of the yellow substance includes:

[0026] Using yellow substance solutions with Q concentration gradients, for the yellow substance solution of concentration q, I different wavelengths of excitation light are used to sequentially irradiate the yellow substance solution of concentration q, and the light intensity of the light produced by the solution under the excitation light is measured for each type of excitation light irradiation.

[0027] The formula for calculating the interference coefficient of yellow substances is expressed as follows:

[0028] ;

[0029] Where, k yi c represents the interference coefficient of the yellow substance under the irradiation of the i-th type of excitation light. q F represents the concentration of the q-th concentration of the yellow substance solution. emi,q The light intensity of the yellow substance solution of concentration q under the irradiation of the i-th type of excitation light is represented.

[0030] , ;

[0031] The turbidity interference coefficient is obtained by:

[0032] Using P turbidity standard solutions with concentration gradients, for the p-th concentration turbidity standard solution, I different wavelengths of excitation light are sequentially used to irradiate the p-th concentration turbidity standard solution, and the light intensity of the excitation light after passing through the solution is measured for each type of excitation light irradiation.

[0033] The formula for calculating the turbidity interference coefficient is as follows:

[0034] ;

[0035] Where, k ni n represents the turbidity interference coefficient under the irradiation of the i-th type of excitation light. p F represents the concentration of the p-th turbidity standard solution. exi,p This represents the light intensity of the i-th type of excitation light after passing through the p-th concentration of turbidity standard solution;

[0036] , .

[0037] A phytoplankton detection device includes a light source array, a first photoelectric device, a second photoelectric device, and a control device;

[0038] The light source array is used to emit excitation light of various wavelengths;

[0039] The first optoelectronic device is used to acquire the light after the excitation light passes through the water sample, and to generate an electrical signal characterizing the light intensity based on the acquired light;

[0040] The second optoelectronic device is used to acquire the light generated by the water sample under the excitation light, and to generate an electrical signal characterizing the light intensity based on the acquired light;

[0041] The control device is used to control the light source array to sequentially emit excitation light of multiple different wavelengths, so that the excitation light of multiple different wavelengths is sequentially incident on the water sample, and to obtain the absorption spectrum data of the water sample based on the electrical signal measured by the first photoelectric device, and to obtain the emission spectrum data of the water sample based on the electrical signal measured by the second photoelectric device. The absorption spectrum data is a data set formed by the light intensity of the excitation light of different wavelengths after passing through the water sample, and the emission spectrum data is a data set formed by the light intensity of the light generated by the water sample under the irradiation of the excitation light of different wavelengths.

[0042] Preferably, the sample tube is further included for placing the water sample, the light source array and the first photoelectric device are located on opposite sides of the sample tube, and the second photoelectric device is located on the other side of the sample tube.

[0043] Preferably, the device further includes a cleaning device, which includes a cleaning brush, a connecting shaft, and a drive motor. The connecting shaft is connected to the cleaning brush, and the drive motor is connected to the connecting shaft. The drive motor is used to drive the connecting shaft to move axially, so as to move the cleaning brush inside the sample tube via the connecting shaft.

[0044] Preferably, the cleaning device further includes a limiting baffle, a first optical coupler, and a second optical coupler. The limiting baffle is fixed on the connecting shaft, and the first optical coupler and the second optical coupler are located at different positions along the axial direction of the connecting shaft. The limiting baffle limits the range of movement of the connecting shaft along the axial direction by confining the first optical coupler and the second optical coupler between them.

[0045] As can be seen from the above technical solution, the phytoplankton detection method and apparatus provided by the present invention includes: sequentially incidenting multiple excitation lights of different wavelengths onto a water sample; measuring the light intensity of the excitation light after passing through the water sample and measuring the light intensity of the light produced by the water sample under the irradiation of the excitation light for each wavelength, thereby obtaining the absorption spectrum data and emission spectrum data of the water sample; further analyzing and obtaining phytoplankton information in the water sample based on the absorption spectrum data, emission spectrum data, and characteristic curves of various phytoplankton, wherein the characteristic curves of phytoplankton describe the absorption performance of phytoplankton to different wavelengths of light and the light production performance of phytoplankton under the irradiation of different wavelengths of light.

[0046] The phytoplankton detection method and apparatus of the present invention are based on the absorption performance of phytoplankton in water samples to different wavelengths of light and the light-producing performance of phytoplankton under different wavelengths of light irradiation, so as to realize the detection of phytoplankton in water samples. The method and apparatus can detect phytoplankton in water samples in real time and online, and the detection is fast. Attached Figure Description

[0047] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0048] Figure 1 A flowchart of a phytoplankton detection method provided in an embodiment of the present invention;

[0049] Figure 2 This is a schematic diagram of a phytoplankton detection device provided in an embodiment of the present invention;

[0050] Figure 3 This is a cross-sectional view of a phytoplankton detection device provided in an embodiment of the present invention;

[0051] Figure 4 This is a longitudinal sectional view of a phytoplankton detection device provided in another embodiment of the present invention;

[0052] Figure 5 This is an overall schematic diagram of a phytoplankton detection device provided in another embodiment of the present invention;

[0053] Figure 6 This is a schematic diagram of the control device for a phytoplankton detection device provided in another embodiment of the present invention. Detailed Implementation

[0054] To enable those skilled in the art to better understand the technical solutions of this invention, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this invention.

[0055] Please refer to Figure 1 , Figure 1 A flowchart of a phytoplankton detection method provided in this embodiment is shown in the figure. The method includes the following steps:

[0056] S101: Multiple excitation lights of different wavelengths are sequentially incident on the water sample. For each wavelength of the excitation light, the light intensity of the excitation light after passing through the water sample and the light intensity of the light produced by the water sample under the irradiation of the excitation light are measured to obtain the absorption spectrum data and emission spectrum data of the water sample, respectively.

[0057] The absorption spectrum data is a set of data formed by the light intensity of the excitation light of different wavelengths passing through the water sample, and the emission spectrum data is a set of data formed by the light intensity of the light produced by the water sample under the irradiation of the excitation light of different wavelengths.

[0058] For example, I different wavelengths of excitation light are used to sequentially incident on the water sample. When the water sample is irradiated by the excitation light of the i-th wavelength, the light intensity of the excitation light of the i-th wavelength after passing through the water sample and the light intensity of the light produced by the water sample under the irradiation of the excitation light of the i-th wavelength are obtained, i∈[1,I], where I is a positive integer greater than or equal to 2.

[0059] The absorption spectrum data of the water sample is obtained by measuring the light intensity data after the excitation light passes through the water sample according to the corresponding excitation light type I. The emission spectrum data of the water sample is obtained by measuring the light intensity data of the light generated when the excitation light irradiates the water sample according to the corresponding excitation light type I.

[0060] S102: Based on the absorption spectrum data, the emission spectrum data, and the characteristic curves of various phytoplankton, the phytoplankton information in the water sample is obtained by analysis. The characteristic curves of phytoplankton describe the absorption performance of phytoplankton to different wavelengths of light and the light-producing performance of phytoplankton under different wavelengths of light.

[0061] Characteristic curves for each type of phytoplankton can be obtained in advance. This allows for the detection of whether these phytoplankton are present in the water sample.

[0062] The phytoplankton detection method in this embodiment is based on the absorption performance of phytoplankton in water samples to different wavelengths of light and the light-producing performance of phytoplankton under different wavelengths of light. It can detect phytoplankton in water samples in real time and online, and the detection is rapid.

[0063] In this embodiment, the type, number, and wavelength of the excitation light used are not limited, and can be set according to detection requirements in practical applications. Preferably, the multiple excitation light of different wavelengths may include at least ten different wavelengths in the range of 360nm to 650nm. Using a large number of excitation light types and a wide wavelength range can increase the number of detectable phytoplankton species and also help improve the accuracy and precision of phytoplankton information detection. In a preferred embodiment, 14 excitation light wavelengths of 365nm, 390nm, 410nm, 435nm, 450nm, 470nm, 490nm, 510nm, 530nm, 540nm, 565nm, 590nm, 610nm, and 630nm are used.

[0064] Optionally, obtaining the light intensity produced by the water sample under excitation light irradiation can specifically involve measuring the light produced by the water sample with a wavelength greater than or equal to 650 nm under excitation light irradiation. Phytoplankton in water bodies typically fluoresce under excitation light irradiation, and the fluorescence wavelength is usually greater than or equal to 650 nm. Furthermore, since the corresponding excitation light wavelength is in the range of 360 nm to 650 nm, measuring the light produced by the water sample with a wavelength greater than or equal to 650 nm under excitation light irradiation can avoid interference from the excitation light itself.

[0065] Optionally, analyzing the phytoplankton information in the water sample based on the obtained absorption spectral data, emission spectral data, and characteristic curves of various phytoplankton species may include: processing and analyzing the absorption spectral data, emission spectral data, and characteristic curves of various phytoplankton species using the non-negative least squares method to obtain the types of phytoplankton in the water sample. This enables accurate identification of phytoplankton at the phylum level.

[0066] Optionally, based on the obtained absorption spectral data, emission spectral data, and characteristic curves of various phytoplankton, the phytoplankton information in the water sample can be analyzed, including:

[0067] If, based on the absorption spectrum data, the emission spectrum data, and the characteristic curves of various phytoplankton, it is determined that the water sample contains a first type of phytoplankton, then, based on the characteristic curve of the first type of phytoplankton, the content information of the first type of phytoplankton in the water sample is calculated using the following formula:

[0068] ;

[0069] In the formula: P h The characteristic curve of the first phytoplankton, k emi,h k represents the emission characteristic coefficient of the first phytoplankton species under the irradiation of the i-th type of excitation light. yi k represents the interference coefficient of the yellow substance under the irradiation of the i-th type of excitation light. exi,h k represents the absorption characteristic coefficient of the first phytoplankton under the irradiation of the i-th type of excitation light. ni λ represents the turbidity interference coefficient under the irradiation of the i-th type of excitation light, λ1 represents the emission-related factor, λ2 represents the absorption-related factor, I represents that there are a total of I different wavelengths of excitation light, and c represents the concentration of the first type of phytoplankton.

[0070] λ1 and λ2 are empirical factors. k emi,h k exi,h k yi and k ni It can be calibrated using pure phytoplankton standard solution, yellow substance standard solution, and turbidity standard solution respectively.

[0071] Optionally, for any phytoplankton, the emission characteristic coefficient and absorption characteristic coefficient of the phytoplankton can be obtained by the following method: using phytoplankton solutions with J concentration gradients, for the j-th concentration phytoplankton solution, I different wavelengths of excitation light sequentially irradiate the j-th concentration phytoplankton solution, and for each type of excitation light irradiation, measuring the light intensity of the excitation light after passing through the solution and measuring the light intensity of the light produced by the solution under the excitation light irradiation.

[0072] The formula for calculating the emission characteristic coefficient is expressed as:

[0073] ;

[0074] Where, k emi c represents the emission characteristic coefficient of phytoplankton under the irradiation of the i-th type of excitation light. j F represents the concentration of the j-th phytoplankton solution. emi,j The light intensity of the phytoplankton solution of concentration j under the irradiation of the i-th type of excitation light is represented.

[0075] The formula for calculating the absorption characteristic coefficient is expressed as follows:

[0076] ;

[0077] Where, k exi F represents the absorption characteristic coefficient of phytoplankton under the irradiation of the i-th type of excitation light. exi,j This represents the light intensity of the i-th type of excitation light after passing through a phytoplankton solution of concentration j;

[0078] , , .

[0079] Optionally, the yellow substance interference coefficient can be obtained by the following method: using yellow substance solutions with Q concentration gradients, for the yellow substance solution of concentration q, I different wavelengths of excitation light sequentially irradiate the yellow substance solution of concentration q, and measuring the light intensity of the light produced by the solution under the excitation light irradiation when irradiated by each excitation light.

[0080] The formula for calculating the interference coefficient of yellow substances is expressed as follows:

[0081] ;

[0082] Where, k yi c represents the interference coefficient of the yellow substance under the irradiation of the i-th type of excitation light. q F represents the concentration of the q-th concentration of the yellow substance solution. emi,q The light intensity of the yellow substance solution of concentration q under the irradiation of the i-th type of excitation light is represented.

[0083] , .

[0084] Alternatively, the turbidity interference coefficient can be obtained by the following methods:

[0085] Using P turbidity standard solutions with concentration gradients, for the p-th concentration turbidity standard solution, I different wavelengths of excitation light are sequentially used to irradiate the p-th concentration turbidity standard solution, and the light intensity of the excitation light after passing through the solution is measured for each type of excitation light irradiation.

[0086] The formula for calculating the turbidity interference coefficient is as follows:

[0087] ;

[0088] Where, k ni n represents the turbidity interference coefficient under the irradiation of the i-th type of excitation light. p F represents the concentration of the p-th turbidity standard solution. exi,p This represents the light intensity of the i-th type of excitation light after passing through the p-th concentration of turbidity standard solution;

[0089] , .

[0090] This embodiment also provides a phytoplankton detection device, including a light source array, a first photoelectric device, a second photoelectric device, and a control device;

[0091] The light source array is used to emit excitation light of various wavelengths;

[0092] The first optoelectronic device is used to acquire the light after the excitation light passes through the water sample, and to generate an electrical signal characterizing the light intensity based on the acquired light;

[0093] The second optoelectronic device is used to acquire the light generated by the water sample under the excitation light, and to generate an electrical signal characterizing the light intensity based on the acquired light;

[0094] The control device is used to control the light source array to sequentially emit excitation light of multiple different wavelengths, so that the excitation light of multiple different wavelengths is sequentially incident on the water sample, and to obtain the absorption spectrum data of the water sample based on the electrical signal measured by the first photoelectric device, and to obtain the emission spectrum data of the water sample based on the electrical signal measured by the second photoelectric device. The absorption spectrum data is a data set formed by the light intensity of the excitation light of different wavelengths after passing through the water sample, and the emission spectrum data is a data set formed by the light intensity of the light generated by the water sample under the irradiation of the excitation light of different wavelengths.

[0095] For example, a light source array can emit I different wavelengths of excitation light, and control the light source array to emit I different wavelengths of excitation light sequentially to irradiate the water sample. When the water sample is irradiated by the excitation light of the i-th wavelength, the first photoelectric device measures the light intensity of the excitation light of the i-th wavelength after passing through the water sample, and the second photoelectric device measures the light intensity of the light produced by the water sample under the irradiation of the excitation light of the i-th wavelength, where i∈[1,I], and I is a positive integer greater than or equal to 2.

[0096] The absorption spectrum data of the water sample is obtained by measuring the electrical signal corresponding to the I type of excitation light using the first photoelectric device, and the emission spectrum data of the water sample is obtained by measuring the electrical signal corresponding to the I type of excitation light using the second photoelectric device. Based on the obtained absorption spectrum data and emission spectrum data, information about phytoplankton in the water sample can be analyzed.

[0097] The phytoplankton detection device of this embodiment detects phytoplankton in water samples based on the absorption performance of phytoplankton to different wavelengths of light and the light-producing performance of phytoplankton under different wavelengths of light. It can detect phytoplankton in water samples in real time and quickly.

[0098] The light source array is formed by multiple light sources, each emitting excitation light of a different wavelength. In this embodiment, the number of light sources used and the wavelength of the excitation light are not limited. Preferably, the multiple excitation light wavelengths may include at least ten different wavelengths in the range of 360nm to 650nm. Using a wider variety of excitation light and a broader wavelength range can increase the number of detectable phytoplankton species and also help improve the accuracy and precision of phytoplankton information detection. The light source can be, but is not limited to, light-emitting diodes (LEDs). In a preferred embodiment, 14 types of LEDs with wavelengths of 365nm, 390nm, 410nm, 435nm, 450nm, 470nm, 490nm, 510nm, 530nm, 540nm, 565nm, 590nm, 610nm, and 630nm are used.

[0099] Preferably, a first broadband filter is also provided for filtering the emitted light from the light source array. Corresponding to the light source array using the aforementioned 14 wavelengths, the first broadband filter can be a broadband filter that allows the transmission of light with a wavelength less than or equal to 650 nm.

[0100] Optionally, the first optoelectronic device may be, but is not limited to, a silicon photovoltaic cell. The second optoelectronic device may be, but is not limited to, a photomultiplier tube. Preferably, a second broadband filter may be provided corresponding to the second optoelectronic device to filter the light incident on the second optoelectronic device. The second broadband filter may allow the transmission of light with a wavelength greater than or equal to 650 nm.

[0101] Optionally, this phytoplankton detection device may further include a sample tube for holding the water sample, with the light source array and the first photoelectric device located on opposite sides of the sample tube, and the second photoelectric device located on the other side of the sample tube. An exemplary embodiment may be referenced. Figure 2 and Figure 3 , Figure 2 This is a schematic diagram of a phytoplankton detection device provided in one embodiment. Figure 3 The figure shows a cross-sectional view of a phytoplankton detection device according to one embodiment. The light source array 101 and the first photoelectric device 104 are located on opposite sides of the sample tube 100, and the second photoelectric device 105 is located on the other side of the sample tube 100. The excitation light emitted from the light source array 101 passes sequentially through the first broadband filter 102 and the first lens group 103, converging and incident on the sample tube 100. The light generated by the water sample in the sample tube 100 passes sequentially through the second lens group 107 and the second broadband filter 106, converging on the second photoelectric device 105.

[0102] Preferably, the phytoplankton detection device may further include a cleaning device, which includes a cleaning brush, a connecting shaft, and a drive motor. The connecting shaft is connected to the cleaning brush, and the drive motor is connected to the connecting shaft. The drive motor is used to drive the connecting shaft to move axially, so as to drive the cleaning brush to move inside the sample tube through the connecting shaft.

[0103] Furthermore, the cleaning device may also include a limiting baffle, a first optical coupler, and a second optical coupler. The limiting baffle is fixed on the connecting shaft, and the first optical coupler and the second optical coupler are respectively disposed at different positions along the axial direction of the connecting shaft. The limiting baffle limits the range of movement of the connecting shaft along the axial direction by confining the first optical coupler and the second optical coupler between them.

[0104] Examples are available for reference. Figure 4 , Figure 4 The figure shows a longitudinal sectional view of a phytoplankton detection device according to another embodiment. A cleaning brush 201 extends into the upper port of the sample tube 100. A connecting shaft 202 is connected to the cleaning brush 201, and a drive motor 203 is connected to the connecting shaft 202. A limiting baffle 204 is fixed to the connecting shaft 202, and a first optocoupler 205 and a second optocoupler 206 are respectively disposed at different positions along the axial direction of the connecting shaft 202.

[0105] The drive motor 203 drives the connecting shaft 202 to move up and down, which in turn moves the cleaning brush 201 within the sample tube 100 to clean it. The up-and-down movement of the connecting shaft 202 also causes the limiting baffle 204 fixed thereon to move up and down, restricting its movement between the first optocoupler 205 and the second optocoupler 206. This limits the range of movement of the cleaning brush 201 within the sample tube 100.

[0106] Preferably, the cleaning brush 201 can be a loose and porous sponge-like structure, which can also filter large particulate impurities in the water sample when extracting the water sample.

[0107] Preferably, refer to Figure 4 As shown, the drive motor 203 is mounted via the motor bracket 207. The first optocoupler 205 and the second optocoupler 206 are mounted via the optocoupler bracket 208. The cleaning device also includes a first protective cover 209, within which the components of the cleaning device are encapsulated.

[0108] Preferably, the phytoplankton detection device may further include a sample inlet / outlet device, which includes a sample tube 100, an inlet, and an outlet. The inlet and outlet are respectively connected to the sample tube 100. Water sample flows into the sample tube 100 through the inlet, and water sample in the sample tube 100 is discharged through the outlet. An exemplary embodiment may be referenced. Figure 4As shown, the inlet 108 is located at the bottom of the sample tube 100, and the outlet 110 is located at the top of the sample tube 100. It also includes an inlet cap 109 and an overflow cap 111, which are used to fix the sample tube 100, with the inlet 108 located at the inlet cap 109 and the outlet 110 located at the overflow cap 111.

[0109] Preferably, a second shield 112 may also be provided, so that the light path from the excitation light emitted by the light source array 101 to the sample tube 100 and the light path from the sample tube 100 to the first photoelectric device 104 and the second photoelectric device 105 are both inside the second shield 112, so as to avoid the ambient light from interfering with the detection light path.

[0110] More preferably, the sample injection / discharge device may further include a first three-way valve, a second three-way valve, and a peristaltic pump. The lower port of the first three-way valve is connected to the sample injection tube, the upper port is connected to the left port of the peristaltic pump, and the right port is connected to the upper port of the second three-way valve. The right port of the peristaltic pump is connected to inlet 108. During sample injection, the first three-way valve is open, connecting the upper and lower ports, and the peristaltic pump rotates clockwise. During discharge, the first three-way valve is closed, connecting the upper and right ports, and the second three-way valve is closed, connecting the upper and right ports, and the peristaltic pump rotates counterclockwise, with waste liquid discharged from the right port of the second three-way valve. During cleaning, the first three-way valve is closed, the second three-way valve is open, connecting the upper and lower ports, and pure water enters from the lower port of the second three-way valve. An exemplary embodiment can be found here. Figure 5 , Figure 5 The figure shows an overall schematic diagram of a phytoplankton detection device according to another embodiment. A first three-way valve 301 and a second three-way valve 302 are arranged adjacent to each other. The first three-way valve 301 includes a first upper port 304, a first lower port 305, and a first right port 306. The second three-way valve 302 includes a second upper port 307, a second lower port 308, and a second right port 309. The peristaltic pump 303 includes a third left port 310 and a third right port 311. The peristaltic pump 303 is located on one side of the cleaning device 200.

[0111] Optionally, the control device may include a control panel, a computer, and a display. An exemplary embodiment may be referenced. Figure 6 , Figure 6 A schematic diagram of the control device for a phytoplankton detection apparatus according to another embodiment is shown in the figure, including a control board 401, a processor 402, and a display 403. See references. Figure 5 As shown, the control board 401 can be mounted on the housing 404 of the cabinet. It can form a host computer platform consisting of a display 403 and a processor 402, performing functions such as program setting, data export, start-up, pause, and process display.

[0112] Preferably, the detection device in this embodiment may include two modes: water sample detection and zero-point calibration, which can be switched as needed. After successful switching, the instrument will run the specified process to complete the corresponding procedure.

[0113] ① Water sample measurement

[0114] Pre-cleaning stage: The first three-way valve 301 is closed, the second three-way valve 302 is opened, the peristaltic pump 303 rotates clockwise, pure water is drawn in from the lower port of the second three-way valve 302, filling the sample tube 100, and excess pure water flows out from the outlet 110. At the same time, the drive motor 203 rotates clockwise, driving the connecting shaft 202 to move downward. The operation stops after the limit baffle 204 blocks the lower optocoupler (i.e., the second optocoupler) 206. The drive motor 203 starts to rotate counterclockwise, driving the connecting shaft 202 to move upward. The operation stops after the limit baffle 204 blocks the upper optocoupler (i.e., the first optocoupler) 205. During the operation, the cleaning brush 201 installed below the connecting shaft 202 brushes the sample tube 100 from bottom to top. This cycle is repeated 5 times. After the scrubbing is completed, the peristaltic pump 303 is turned off, the first three-way valve 301 is turned off, the second three-way valve 302 is turned off, the peristaltic pump 303 rotates counterclockwise, and pure water is discharged from the right port of the second three-way valve 302. After the water is drained, the peristaltic pump 303 is turned off.

[0115] Sample preparation stage: The drive motor 203 rotates clockwise, causing the connecting shaft 202 to move downwards. The limit baffle 204 stops the operation after blocking the lower optocoupler 206. The cleaning brush 201 is positioned below the sample tube 100. The first three-way valve 301 opens, and the peristaltic pump 303 rotates clockwise. Water sample is drawn in from the lower opening of the first three-way valve 301, filtered by the cleaning brush 201, and fills the sample tube 100. Excess water sample flows out from the outlet 110. After filling, the peristaltic pump 303 stops operating.

[0116] Detection process: The light source array 101, the first photoelectric device 104, and the second photoelectric device 105 are all powered on and begin operation. After the detection results stabilize for approximately 25 seconds, the first photoelectric device 104 and the second photoelectric device 105 record the relevant data of the absorption spectrum and fluorescence emission spectrum, respectively. After recording, the light source array 101, the first photoelectric device 104, and the second photoelectric device 105 are all powered off.

[0117] Data processing stage: The instrument inputs the measured absorption spectrum and fluorescence emission spectrum data into the algorithm to classify phytoplankton and calculate the concentration and density of each phytoplankton.

[0118] Sample feeding process: The drive motor 203 rotates counterclockwise, driving the connecting shaft 202 to move upward. The limit baffle 204 blocks the upper optocoupler 205, and the operation stops. The cleaning brush 201 will move above the sample tube 100. The first three-way valve 301 closes, the second three-way valve 302 closes, the peristaltic pump 303 rotates counterclockwise, and pure water is discharged from the right port of the second three-way valve 302. After emptying, the peristaltic pump 303 is turned off.

[0119] Cleaning process: The first three-way valve 301 is closed, the second three-way valve 302 is opened, the peristaltic pump 303 rotates clockwise, pure water is drawn in from the lower port of the second three-way valve 302, filling the sample tube 100, and excess pure water flows out from the outlet 110. At the same time, the drive motor 203 rotates clockwise, driving the connecting shaft 202 to move downward. The operation stops after the limit baffle 204 blocks the lower optocoupler 206. The drive motor 203 then starts to rotate counterclockwise, driving the connecting shaft 202 to move upward. The operation stops after the limit baffle 204 blocks the upper optocoupler 205. During the operation, the cleaning brush 201 installed below the connecting shaft 202 brushes the sample tube 100 from bottom to top. This process is repeated 5 times. After the scrubbing is completed, the peristaltic pump 303 is turned off, the first three-way valve 301 is turned off, the second three-way valve 302 is turned off, the peristaltic pump 303 rotates counterclockwise, and pure water is discharged from the right port of the second three-way valve 302. After the water is drained, the peristaltic pump 303 is turned off.

[0120] ② Zero point calibration

[0121] Pre-cleaning stage: The first three-way valve 301 is closed, the second three-way valve 302 is opened, the peristaltic pump 303 rotates clockwise, pure water is drawn in from the lower port of the second three-way valve 302, filling the sample tube 100, and excess pure water flows out from the outlet 110. At the same time, the drive motor 203 rotates clockwise, driving the connecting shaft 202 to move downward. The operation stops after the limit baffle 204 blocks the lower optocoupler 206. The drive motor 203 then starts to rotate counterclockwise, driving the connecting shaft 202 to move upward. The operation stops after the limit baffle 204 blocks the upper optocoupler 205. During the operation, the cleaning brush 201 installed below the connecting shaft 202 brushes the sample tube 100 from bottom to top. This cycle is repeated 5 times. After the scrubbing is completed, the peristaltic pump 303 is turned off, the first three-way valve 301 is turned off, the second three-way valve 302 is turned off, the peristaltic pump 303 rotates counterclockwise, and pure water is discharged from the right port of the second three-way valve 302. After the water is drained, the peristaltic pump 303 is turned off.

[0122] Sample preparation: The first three-way valve 301 is closed, the second three-way valve 302 is opened, and the peristaltic pump 303 rotates clockwise. Pure water is drawn in from the lower end of the second three-way valve 302, filling the sample tube 100. Excess water flows out from the outlet 110. After filling, the peristaltic pump 303 stops running.

[0123] Detection process: The light source array 101, the first photoelectric device 104, and the second photoelectric device 105 are all powered on and begin operation. After the detection results stabilize for approximately 25 seconds, the first photoelectric device 104 and the second photoelectric device 105 record the relevant data of the absorption spectrum and emission spectrum, respectively. After recording, the light source array 101, the first photoelectric device 104, and the second photoelectric device 105 are all powered off.

[0124] Data processing stage: The instrument imports the measured absorption and emission spectrum data into the instrument algorithm, replacing the zero-point absorption and emission spectrum data in the original algorithm.

[0125] Sampling process: First three-way valve 301 is closed, second three-way valve 302 is closed, peristaltic pump 303 rotates counterclockwise, pure water is discharged from the right port of second three-way valve 302, and peristaltic pump 303 is closed after emptying.

[0126] Cleaning process: The first three-way valve 301 is closed, the second three-way valve 302 is opened, the peristaltic pump 303 rotates clockwise, pure water is drawn in from the lower port of the second three-way valve 302, filling the sample tube 100, and excess pure water flows out from the outlet 110. At the same time, the drive motor 203 rotates clockwise, driving the connecting shaft 202 to move downward. The operation stops after the limit baffle 204 blocks the lower optocoupler 206. The drive motor 203 then starts to rotate counterclockwise, driving the connecting shaft 202 to move upward. The operation stops after the limit baffle 204 blocks the upper optocoupler 205. During the operation, the cleaning brush 201 installed below the connecting shaft 202 brushes the sample tube 100 from bottom to top. This process is repeated 5 times. After the scrubbing is finished, the peristaltic pump 303 is turned off, the first three-way valve 301 is turned off, the second three-way valve 302 is turned off, the peristaltic pump 303 rotates counterclockwise, and pure water is discharged from the right port of the second three-way valve 302. After the water is drained, the peristaltic pump 303 is turned off.

[0127] Preferably, the detection device in this embodiment can also perform automatic light source calibration, and the automatic light source calibration method includes the following process:

[0128] ① Repeat the cleaning steps for the instrument more than 5 times.

[0129] ② Draw pure water and fill the sample tube.

[0130] ③ The light source array 101, the first photoelectric device 104, and the second photoelectric device 105 are all powered on and begin to work. After the detection results stabilize for about 25 seconds, the first photoelectric device 104 records the transmitted light intensity of each light-emitting diode in the light source array 101 in sequence and compares it with the original recorded value. By automatically fine-tuning the power supply voltage, the transmitted light intensity value of each light-emitting diode is adjusted to the same value as the original recorded value in sequence. After the fine-tuning is completed, the latest power supply voltage of each light-emitting diode is recorded.

[0131] ④ Automatically update the default power supply voltage of each LED in the control board 401 to the latest calibration value.

[0132] Furthermore, the phytoplankton detection method and apparatus of this embodiment may also include calibrating various coefficients.

[0133] For example, the emission characteristic / absorption characteristic coefficient calibration process may include:

[0134] ① High-purity stock solution of a single phytoplankton species (purchased from CMA laboratory, concentration provided by supplier), manually diluted to a concentration of approximately 200 μg / L;

[0135] ② Insert the instrument sampling tube into the phytoplankton dilution solution, and insert the pure water inlet tube into the pure water bottle;

[0136] ③ Input the phytoplankton dilution concentration c into the instrument calibration interface, start the calibration function, and the instrument will begin automatic calibration (the volume of the glass tube after filling is V, and the concentration of the phytoplankton dilution is c):

[0137] A. The instrument extracts 1 / 16V of phytoplankton suspension and 15 / 16V of pure water, and measures the emission and absorption spectra.

[0138] B. The instrument extracts 1 / 8V of phytoplankton suspension and 7 / 8V of pure water, and measures the emission and absorption spectra.

[0139] C. The instrument extracts 1 / 4V of phytoplankton suspension and 3 / 4V of pure water, and measures the emission and absorption spectra.

[0140] D. The instrument extracts 1 / 2V of phytoplankton suspension and 1 / 2V of pure water, and measures the emission and absorption spectra.

[0141] E. The instrument extracts a phytoplankton suspension from V and measures its emission and absorption spectra;

[0142]

[0143]

[0144] , ;

[0145] ;

[0146] .

[0147] The instrument automatically calculates according to the above formula. and And replace the original values ​​in the algorithm.

[0148] The calibration process for the interference coefficient of yellow substances may include:

[0149] ① The yellow stock solution (tannic acid standard sample, with a fixed concentration) was manually diluted to a concentration of approximately 200 μg / L (c).

[0150] ② Insert the instrument sampling tube into the yellow substance diluent, and insert the pure water inlet tube into the pure water bottle;

[0151] ③ Input the concentration c of the yellow substance diluent into the instrument calibration interface, start the calibration function, and the instrument will begin automatic calibration (the volume of the glass tube after it is filled is V, and the concentration of the yellow substance diluent is c):

[0152] A. The instrument draws 1 / 16V of the diluted yellow substance solution and 15 / 16V of pure water, and measures the emission spectrum;

[0153] B. The instrument draws 1 / 8V of the yellow substance dilution solution and 7 / 8V of pure water, and measures the emission spectrum;

[0154] C. The instrument draws 1 / 4 V of the yellow substance dilution solution and 3 / 4 V of pure water, and the emission spectrum is measured;

[0155] D. The instrument draws 1 / 2 V of the diluted yellow substance solution and 1 / 2 V of pure water, and measures the emission spectrum;

[0156] E. The instrument extracts a diluted solution of the yellow substance in V and measures its emission spectrum;

[0157]

[0158] ;

[0159] .

[0160] The instrument automatically calculates according to the above formula. And replace the original values ​​in the algorithm.

[0161] The turbidity interference coefficient calibration process may include:

[0162] ① Turbidity stock solution (formazan standard solution, fixed concentration), manually diluted to a turbidity of approximately 200 NTU;

[0163] ② Insert the instrument sampling tube into the turbidity diluent and the pure water inlet tube into the pure water bottle;

[0164] ③ Input the turbidity diluent concentration n into the instrument calibration interface, start the calibration function, and the instrument will begin automatic calibration (the volume of the glass tube after it is filled is V, and the turbidity of the turbidity diluent is n):

[0165] A. The instrument draws 1 / 16V of turbidity dilution solution and 15 / 16V of pure water, and measures the absorption spectrum;

[0166] B. The instrument draws 1 / 8V of the turbidity dilution solution and 7 / 8V of pure water, and measures the absorption spectrum.

[0167] C. The instrument draws 1 / 4V of turbidity dilution solution and 3 / 4V of pure water, and measures the absorption spectrum;

[0168] D. The instrument draws 1 / 2 V of turbidity dilution solution and 1 / 2 V of pure water, and measures the absorption spectrum;

[0169] E. The instrument extracts a turbidity dilution of V and measures the absorption spectrum;

[0170]

[0171] ;

[0172] .

[0173] The instrument automatically calculates according to the above formula. And replace the original values ​​in the algorithm.

[0174] The phytoplankton detection method and apparatus of the present invention can achieve the following beneficial effects:

[0175] ① It can achieve rapid automatic detection of water samples (3 minutes), without the need for professional personnel, and the data is highly reliable;

[0176] ② The instrument uses a narrow-band LED matrix as the light source, which has high stability; the light source is equipped with an automatic calibration function, which automatically calibrates the intensity of the excitation light source periodically, thus avoiding the impact of light source attenuation on the test results;

[0177] ③ The instrument primarily uses fluorescence emission spectroscopy as the main analytical method, supplemented by fluorescence absorption spectroscopy, resulting in more reliable detection results;

[0178] ④ The instrument is designed with compensation schemes for yellow substances and turbidity, avoiding the influence of these two factors that have the greatest interference on the test results;

[0179] ⑤ The instrument can be supplemented with multiple additional parameters for detection and classification according to user needs;

[0180] ⑥ The testing pool is equipped with a cleaning brush, which can be used to clean the testing pool during the testing process to prevent the attachment and accumulation of phytoplankton during long-term use. The cleaning brush has a porous structure, so when the water sample enters the testing pool, it will pass through the cleaning brush first, which can filter out large particles of impurities.

[0181] ⑦ The instrument uses a multi-point calibration scheme, and users can perform one-click calibration using a standard object. It is simple to operate and highly accurate.

[0182] The foregoing has provided a detailed description of the phytoplankton detection method and apparatus provided by the present invention. Specific examples have been used to illustrate the principles and implementation methods of the invention. The descriptions of these embodiments are merely illustrative of the method and its core ideas. It should be noted that those skilled in the art can make various improvements and modifications to the invention without departing from its principles, and these improvements and modifications also fall within the scope of protection of the claims of the present invention.

Claims

1. A method for detecting phytoplankton, characterized in that, include: Multiple excitation lights of different wavelengths are sequentially incident on a water sample. For each wavelength of excitation light, the light intensity of the excitation light after passing through the water sample and the light intensity of the light produced by the water sample under the excitation light are measured. Absorption spectral data and emission spectral data of the water sample are obtained respectively. The absorption spectral data is a data set formed by the light intensity of the excitation light of different wavelengths after passing through the water sample, and the emission spectral data is a data set formed by the light intensity of the light produced by the water sample under the excitation light of different wavelengths. Based on the absorption spectrum data, the emission spectrum data, and the characteristic curves of various phytoplankton, the phytoplankton information in the water sample is obtained by analysis. The characteristic curves of phytoplankton describe the absorption performance of phytoplankton to different wavelengths of light and the light-producing performance of phytoplankton under different wavelengths of light. Based on the absorption spectral data, the emission spectral data, and the characteristic curves of various phytoplankton species, the phytoplankton information in the water sample was obtained through analysis, including: If, based on the absorption spectrum data, the emission spectrum data, and the characteristic curves of various phytoplankton, it is determined that the water sample contains a first type of phytoplankton, then, based on the characteristic curve of the first type of phytoplankton, the content information of the first type of phytoplankton in the water sample is calculated using the following formula: ； In the formula: P h The characteristic curve of the first phytoplankton, k emi,h k represents the emission characteristic coefficient of the first phytoplankton species under the irradiation of the i-th type of excitation light. yi k represents the interference coefficient of the yellow substance under the irradiation of the i-th type of excitation light. exi,h k represents the absorption characteristic coefficient of the first phytoplankton under the irradiation of the i-th type of excitation light. ni λ represents the turbidity interference coefficient under the irradiation of the i-th type of excitation light, λ1 represents the emission-related factor, λ2 represents the absorption-related factor, I represents that there are a total of I different wavelengths of excitation light, and c represents the concentration of the first type of phytoplankton.

2. The phytoplankton detection method according to claim 1, characterized in that, The excitation light of various wavelengths includes at least ten different wavelengths in the range of 360 nm to 650 nm.

3. The phytoplankton detection method according to claim 1, characterized in that, Based on the absorption spectral data, the emission spectral data, and the characteristic curves of various phytoplankton species, the phytoplankton information in the water sample was obtained through analysis, including: The absorption spectrum data, emission spectrum data, and characteristic curves of various phytoplankton are processed and analyzed using the non-negative least squares method to obtain the types of phytoplankton in the water sample.

4. The phytoplankton detection method according to claim 1, characterized in that, For any phytoplankton species, the emission characteristic coefficients and absorption characteristic coefficients of that phytoplankton species are obtained as follows: Using J concentration gradient phytoplankton solutions, for the j-th concentration phytoplankton solution, I different wavelengths of excitation light are sequentially used to irradiate the j-th concentration phytoplankton solution. For each type of excitation light irradiation, the light intensity of the excitation light after passing through the solution and the light intensity of the solution under the excitation light irradiation are measured. The formula for calculating the emission characteristic coefficient is expressed as follows: ； Where, k emi c represents the emission characteristic coefficient of phytoplankton under the irradiation of the i-th type of excitation light. j F represents the concentration of the j-th phytoplankton solution. emi,j The light intensity produced by the phytoplankton solution of concentration j under the irradiation of the i-th type of excitation light; The formula for calculating the absorption characteristic coefficient is expressed as follows: ； Where, k exi F represents the absorption characteristic coefficient of phytoplankton under the irradiation of the i-th type of excitation light. exi,j This represents the light intensity of the i-th type of excitation light after passing through a phytoplankton solution of concentration j; ， ， 。 5. The phytoplankton detection method according to claim 1, characterized in that, The interference coefficients for yellow substances include: Using yellow substance solutions with Q concentration gradients, for the yellow substance solution of concentration q, I different wavelengths of excitation light are used to sequentially irradiate the yellow substance solution of concentration q, and the light intensity of the light produced by the solution under the excitation light is measured for each type of excitation light irradiation. The formula for calculating the interference coefficient of yellow substances is expressed as follows: ； Where, k yi c represents the interference coefficient of the yellow substance under the irradiation of the i-th type of excitation light. q F represents the concentration of the q-th concentration of the yellow substance solution. emi,q The light intensity of the yellow substance solution of concentration q under the irradiation of the i-th type of excitation light is represented. ， ； The turbidity interference coefficient is obtained by: Using P turbidity standard solutions with concentration gradients, for the p-th concentration turbidity standard solution, I different wavelengths of excitation light are sequentially used to irradiate the p-th concentration turbidity standard solution, and the light intensity of the excitation light after passing through the solution is measured for each type of excitation light irradiation. The formula for calculating the turbidity interference coefficient is as follows: ； Where, k ni Represents the turbidity interference coefficient under the irradiation of the i-th type of excitation light, n p F represents the concentration of the p-th turbidity standard solution. exi,p This represents the light intensity of the i-th type of excitation light after passing through the p-th concentration of turbidity standard solution; ， 。 6. A phytoplankton detection device, characterized in that, It includes a light source array, a first optoelectronic device, a second optoelectronic device, and a control device; The light source array is used to emit excitation light of various wavelengths; The first optoelectronic device is used to acquire the light after the excitation light passes through the water sample, and to generate an electrical signal characterizing the light intensity based on the acquired light; The second optoelectronic device is used to acquire the light generated by the water sample under the excitation light, and to generate an electrical signal characterizing the light intensity based on the acquired light; The control device is used to control the light source array to sequentially emit excitation light of multiple different wavelengths, so that the excitation light of multiple different wavelengths is sequentially incident on the water sample, and to obtain the absorption spectrum data of the water sample based on the electrical signal measured by the first photoelectric device, and to obtain the emission spectrum data of the water sample based on the electrical signal measured by the second photoelectric device. The absorption spectrum data is a data set formed by the light intensity of the excitation light of different wavelengths after passing through the water sample, and the emission spectrum data is a data set formed by the light intensity of the light generated by the water sample under the irradiation of the excitation light of different wavelengths. Based on the absorption spectral data, the emission spectral data, and the characteristic curves of various phytoplankton species, the phytoplankton information in the water sample was obtained through analysis, including: If, based on the absorption spectrum data, the emission spectrum data, and the characteristic curves of various phytoplankton, it is determined that the water sample contains a first type of phytoplankton, then, based on the characteristic curve of the first type of phytoplankton, the content information of the first type of phytoplankton in the water sample is calculated using the following formula: ； In the formula: P h The characteristic curve of the first phytoplankton, k emi,h k represents the emission characteristic coefficient of the first phytoplankton species under the irradiation of the i-th type of excitation light. yi k represents the interference coefficient of the yellow substance under the irradiation of the i-th type of excitation light. exi,h k represents the absorption characteristic coefficient of the first phytoplankton under the irradiation of the i-th type of excitation light. ni λ represents the turbidity interference coefficient under the irradiation of the i-th type of excitation light, λ1 represents the emission-related factor, λ2 represents the absorption-related factor, I represents that there are a total of I different wavelengths of excitation light, and c represents the concentration of the first type of phytoplankton.

7. The phytoplankton detection device according to claim 6, characterized in that, It also includes a sample tube for placing the water sample, with the light source array and the first photoelectric device located on opposite sides of the sample tube, and the second photoelectric device located on the other side of the sample tube.

8. The phytoplankton detection device according to claim 6, characterized in that, It also includes a cleaning device, which includes a cleaning brush, a connecting shaft, and a drive motor. The connecting shaft is connected to the cleaning brush, and the drive motor is connected to the connecting shaft. The drive motor is used to drive the connecting shaft to move axially, so as to drive the cleaning brush to move inside the sample tube through the connecting shaft.

9. The phytoplankton detection device according to claim 8, characterized in that, The cleaning device further includes a limiting baffle, a first optical coupler, and a second optical coupler. The limiting baffle is fixed on the connecting shaft. The first optical coupler and the second optical coupler are located at different positions along the axial direction of the connecting shaft. The limiting baffle limits the range of movement of the connecting shaft along the axial direction by confining the first optical coupler and the second optical coupler.

Images