Filtering system capable of effectively and intensively collecting aquatic organisms and facilitating accurate detection

Abstract

The invention discloses a filtering system capable of effectively and intensively collecting aquatic organisms and facilitating accurate detection, which comprises a special container, the special container is used for accommodating and fixing a special filter membrane, and the sealing performance and the stability in a water sample filtering process are ensured; the specially-made filter membrane sheet adopts an efficient and biocompatible filter membrane, so that tiny organisms of phytoplankton and zooplankton are effectively intercepted, and meanwhile, the forms of the tiny organisms are kept complete; the device has the beneficial effects that the problems that aquatic organisms are difficult to collect and the detection result is inaccurate in the prior art are solved; the special container and the filter membrane are combined with a vacuum suction filtration technology, so that the aquatic organisms are efficiently and intensively collected; the automatic microscopic photographing and background software analysis technology is combined, so that the accurate detection and analysis of the biological indexes of the water sample are realized; the method has important significance for improving the accuracy and reliability of water quality monitoring, and has a wide application prospect.

Description

Technical Field

[0001] The present invention belongs to the technical field of water sample filtration, and in particular relates to a filtration system for effectively and centrally collecting aquatic organisms for accurate detection. Background Art

[0002] Commonly used water sample filtration methods include coarse filtration, precision filtration, reverse osmosis, dry ashing, extraction technology, purge-and-trap technology, and fully automatic headspace technology;

[0003] Coarse filtration and fine filtration are two basic methods of water filtration; coarse filtration is mainly used for industrial water pretreatment to remove large particles of impurities through physical barriers or simple media; while fine filtration, also known as microfiltration, is mostly used in the post-treatment process of pure water preparation to remove smaller particles and microorganisms;

[0004] Reverse osmosis is a membrane separation operation that uses pressure difference as a driving force. It can effectively remove dissolved salts, colloids, microorganisms, organic matter, etc. in water to provide high-quality pure water. This method has been widely used in the purification and concentration of various liquids, including water treatment processes;

[0005] Dry ashing is a sample pretreatment technique that uses high temperature to completely decompose and volatilize organic matter in the sample. It is suitable for the determination of metal elements and their compounds. The factors affecting this method include ashing temperature, time and heating rate.

[0006] Extraction techniques include liquid-liquid extraction, Soxhlet extraction, ultrasonic extraction and solid phase extraction (SPE). These methods use the difference in solubility of solutes in different solvents to achieve separation and enrichment of target compounds. They are suitable for extracting non-volatile and semi-volatile organic compounds from aqueous solutions or solid samples.

[0007] The purge-and-trap technology uses inert gas to transfer volatile components from the liquid phase to the gas phase to achieve efficient separation; the fully automatic headspace technology is used in gas chromatography analysis to improve analysis efficiency and accuracy.

[0008] Membrane filtration is a highly efficient separation technology, commonly used for water sample filtration; membrane filtration mainly relies on membranes with specific pore sizes and structures to achieve separation and filtration of different components in water samples; according to the size of the membrane pore size, it can be divided into several types such as microfiltration, ultrafiltration, nanofiltration and reverse osmosis; the pore size of the microfiltration membrane is usually between 0.1-10 microns, which can remove larger particulate matter such as suspended matter, bacteria, colloids, etc. in water samples; the operating pressure of the microfiltration process is relatively low, generally between 0.1-0.3MPa; the pore size of the ultrafiltration membrane is in the range of 0.001-0.1 microns, which can intercept larger molecular weight Substances, such as proteins, polysaccharides and other macromolecular organic substances; the operating pressure of ultrafiltration is slightly higher than that of microfiltration, generally around 0.1-0.7MPa; the pore size of nanofiltration membrane is about 1 nanometer, which has a good separation effect on divalent and multivalent ions and organic substances with a molecular weight between 200-1000, and the operating pressure of nanofiltration is usually between 0.5-2.0MPa; the pore size of reverse osmosis membrane is extremely small, only allowing small molecules such as water molecules to pass through, and can effectively remove almost all impurities such as soluble salts, organic matter, microorganisms, etc. in water; the operating pressure of reverse osmosis is relatively high, generally between 1.5-10MPa;

[0009] The advantages of membrane filtration include: high filtration accuracy, effective removal of tiny particles and macromolecular substances; relatively simple operation process, easy to automate; no phase change occurs, relatively low energy consumption;

[0010] However, membrane filtration also has some limitations: the membrane is easily contaminated and needs to be cleaned and replaced regularly, which increases the operating cost; the cost of the membrane is high, especially the high-performance membrane material. For high-concentration and high-viscosity water samples, the filtration effect may be affected to a certain extent.

[0011] In water sample filtration, choosing the right membrane filtration type and operating conditions is crucial to ensuring filtration results and reducing costs. Commonly used water sample filtration systems filter suspended matter and particulate matter in water bodies to varying degrees according to the different specifications of filter screens and filter elements. The filtered water samples will cause large deviations in aquatic biological detection data and are not representative. Due to the materials of the filter screens and filter elements, filtered substances such as phytoplankton and zooplankton are not easy to be effectively collected, resulting in insufficient representativeness of filtered water samples, which seriously affects the accuracy and reliability of water quality testing. Summary of the invention

[0012] The purpose of the present invention is to provide a filtration system for effectively and centrally collecting aquatic organisms for accurate detection. By combining a special container with a filter membrane and combining it with vacuum filtration technology, efficient and centralized collection of aquatic organisms in water samples is achieved. Through automated microscopic photography and background software analysis, accurate detection and analysis of biological indicators in water samples is achieved.

[0013] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a filtering system for effectively collecting aquatic organisms in a centralized manner for accurate detection, comprising a special container, wherein the special container is used to accommodate and fix a special filter membrane to ensure the sealing and stability during the water sample filtering process;

[0014] Special filter membranes, which use highly efficient, biocompatible filter membranes to effectively intercept phytoplankton and zooplankton microorganisms while maintaining their morphological integrity;

[0015] A vacuum pump system, which is connected to the container and realizes rapid and uniform filtration of the water sample through negative pressure, so that aquatic organisms adhere to the surface of the filter membrane;

[0016] A microscope and a camera device, wherein the microscope and the camera device are equipped with a high-precision microscope and an automatic focusing camera system for capturing clear images of aquatic organisms on the filter membrane;

[0017] The backend server and analysis software are used to receive and process high-definition photos taken by a microscope, and obtain the detection results of various biological indicators in the water sample through image recognition and analysis technology.

[0018] As a preferred technical solution of the present invention, a special container is used to accommodate and fix a special filter membrane to ensure the sealing and stability during the water sample filtration process. The specific implementation method is as follows: place the special filter membrane on the groove or plane specified by the container to ensure that it is flat and wrinkle-free, fix it, check whether the sealing element is intact, and replace it in time if damaged; add a sealing ring at the contact position between the container cover and the container to achieve sealing.

[0019] As a preferred technical solution of the present invention, the specially made filter membrane sheet adopts a high-efficiency, biocompatible filter membrane with a pore size of 3-7 μm.

[0020] As a preferred technical solution of the present invention, a vacuum pump system is connected to the container, and the water sample is filtered quickly and evenly by negative pressure, so that aquatic organisms are attached to the surface of the filter membrane. The implementation method is as follows:

[0021] Connect the special container to the vacuum pump system through pipes and joints, and ensure that the joints are well sealed and leak-free; install the special filter membrane inside the container and ensure that it is correctly positioned and firmly fixed;

[0022] Before starting filtration, check the vacuum pump system to ensure that it is operating normally and without faults; adjust the parameters of the vacuum pump system to meet different filtration requirements;

[0023] Inject the water sample to be filtered into the container through the water inlet of the container. Pay attention to controlling the injection speed and amount of the water sample to avoid impact or damage to the filter membrane;

[0024] Start the vacuum pump system to generate negative pressure. As the negative pressure increases, the gas inside the container and part of the liquid in the water sample will be drawn out, forming a filtering effect. Under the action of negative pressure, the water in the water sample is quickly drawn out through the pores of the filter membrane, while larger particles and aquatic organisms will be trapped on the surface of the filter membrane.

[0025] During the filtration process, regularly monitor the operating status and filtration effect of the vacuum pump system. If any abnormality is found, stop the system in time for inspection and adjustment.

[0026] As a preferred technical solution of the present invention, the parameters of the vacuum pump system are adjusted, including the pumping rate and the pressure range.

[0027] As a preferred technical solution of the present invention, the background server and analysis software are used to receive and process high-definition photos taken by the microscope, and obtain the detection results of various biological indicators in the water sample through image recognition and analysis technology. The specific implementation method is as follows:

[0028] The high-definition photos taken by the microscope are converted into digital signals by the image acquisition device and transmitted to the backend server through the network; a variety of data formats can be used during the transmission process to ensure the integrity and quality of the image data;

[0029] The backend server is configured with a corresponding receiving interface for receiving image data from the microscope; the received image data is stored in the database of the server for subsequent analysis and processing;

[0030] Preprocessing the received image;

[0031] Extract key features from the preprocessed image;

[0032] Use the extracted features for further analysis;

[0033] The analysis software can automatically identify cells, tissues, and organ targets in the image and calculate their size, shape, and quantity parameters;

[0034] Output the analysis results in the form of graphs, tables, and reports.

[0035] As a preferred technical solution of the present invention, the multiple data formats include TIF, DM3, and DM4; the preprocessing of the received image includes filtering, histogram equalization, and gamma correction.

[0036] As a preferred technical solution of the present invention, the feature extraction method includes texture feature extraction based on gray-level co-occurrence matrix, multi-scale feature extraction based on wavelet transform, and feature extraction based on deep learning.

[0037] Compared with the prior art, the present invention has the following beneficial effects:

[0038] The invention solves the problems of difficult collection of aquatic organisms and inaccurate detection results in the prior art; through the combination of special containers and filter membranes with vacuum filtration technology, efficient and centralized collection of aquatic organisms is achieved; combined with automated microscopic photography and background software analysis technology, accurate detection and analysis of biological indicators in water samples is achieved; the invention is of great significance for improving the accuracy and reliability of water quality monitoring and has broad application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a system principle diagram of the present invention. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] Example 1

[0042] See also Figure 1 , which is the first embodiment of the present invention, provides a filtering system for effectively collecting aquatic organisms and facilitating accurate detection, including:

[0043] Special container, which is used to hold and fix the special filter membrane to ensure the sealing and stability during the water sample filtration process;

[0044] Special filter membrane, the special filter membrane adopts high-efficiency, biocompatible 3μm pore size filter membrane, which can effectively intercept phytoplankton and zooplankton micro-organisms while keeping their morphology intact;

[0045] The vacuum pump system is connected to the container and realizes rapid and uniform filtration of water samples through negative pressure, so that aquatic organisms adhere to the surface of the filter membrane;

[0046] Microscope and camera, the microscope and camera are equipped with a high-precision microscope and an automatic focusing camera system to capture clear images of aquatic organisms on the filter membrane;

[0047] Backend server and analysis software: The backend server and analysis software are used to receive and process high-definition photos taken by the microscope, and obtain the detection results of various biological indicators in the water samples through image recognition and analysis technology.

[0048] In this embodiment, preferably, a special container is used to accommodate and fix a special filter membrane piece to ensure the sealing and stability during the water sample filtration process. The specific implementation method is as follows: place the special filter membrane piece on the groove or plane specified by the container to ensure that it is flat and wrinkle-free, fix it, check whether the sealing element is intact, and replace it in time if damaged; add a sealing ring at the contact position between the container cover and the container to achieve sealing.

[0049] In this embodiment, preferably, the vacuum pump system is connected to the container, and the water sample is filtered quickly and evenly by negative pressure, so that the aquatic organisms are attached to the surface of the filter membrane. The implementation method is as follows:

[0050] Connect the special container to the vacuum pump system through pipes and joints, and ensure that the joints are well sealed and leak-free; install the special filter membrane inside the container and ensure that it is correctly positioned and firmly fixed;

[0051] Before starting filtration, check the vacuum pump system to ensure that it is operating normally and without faults; adjust the parameters of the vacuum pump system, including the pumping rate and pressure range, to meet different filtration requirements;

[0052] Inject the water sample to be filtered into the container through the water inlet of the container. Pay attention to controlling the injection speed and amount of the water sample to avoid impact or damage to the filter membrane;

[0053] Start the vacuum pump system to generate negative pressure. As the negative pressure increases, the gas inside the container and part of the liquid in the water sample will be drawn out, forming a filtering effect. Under the action of negative pressure, the water in the water sample is quickly drawn out through the pores of the filter membrane, while larger particles and aquatic organisms will be trapped on the surface of the filter membrane.

[0054] During the filtration process, regularly monitor the operating status and filtration effect of the vacuum pump system. If any abnormality is found, stop the system in time for inspection and adjustment.

[0055] In this embodiment, preferably, the backend server and analysis software are used to receive and process high-definition photos taken by the microscope, and obtain the detection results of various biological indicators in the water sample through image recognition and analysis technology. The specific implementation method is as follows:

[0056] The high-definition photos taken by the microscope are converted into digital signals by image acquisition equipment and transmitted to the backend server through the network (such as local area network, Internet);

[0057] During the transmission process, a variety of data formats can be used, such as TIF, DM3, DM4, etc., to ensure the integrity and quality of image data;

[0058] The backend server is configured with a corresponding receiving interface for receiving image data from the microscope;

[0059] The received image data is stored in the server’s database for subsequent analysis and processing;

[0060] Preprocess the received image, including denoising, contrast enhancement, brightness adjustment and other operations to improve image quality; commonly used preprocessing methods include filtering (such as mean filtering, median filtering, Gaussian filtering), histogram equalization, gamma correction, etc.;

[0061] Extract key features such as edges, contours, textures, etc. from preprocessed images; commonly used feature extraction methods include texture feature extraction based on gray-level co-occurrence matrix, multi-scale feature extraction based on wavelet transform, and feature extraction based on deep learning;

[0062] Use the extracted features for further analysis, such as image classification, recognition, measurement, etc.

[0063] The analysis software can automatically identify cells, tissues, organs and other targets in the image and calculate their size, shape, quantity and other parameters;

[0064] Output the analysis results in the form of graphs, tables, reports, etc.

[0065] The filtration process steps to effectively collect aquatic organisms for accurate detection are as follows:

[0066] Place the specially made 3μm filter membrane accurately at the designated position of the container;

[0067] The container automatically closes and seals to ensure no leakage during the water sample filtration process;

[0068] Through the automated control system, a quantitative water sample is drawn into a container;

[0069] Start the vacuum pump to extract the water from the water sample using negative pressure, and at the same time make the aquatic organisms attach to the surface of the filter membrane;

[0070] After the filtration is completed, the filter membrane piece enriched with aquatic organisms is taken out and transferred to a microscope for automatic focusing and photography;

[0071] After taking photos, the high-definition photos are uploaded to the background server, and professional software is used to analyze and process the images to obtain the test results of water sample biological indicators.

[0072] Example 2

[0073] See also Figure 1 , which is the second embodiment of the present invention, is based on the previous embodiment, except that:

[0074] Special filter membrane, the special filter membrane adopts high-efficiency, biocompatible 5μm pore size filter membrane to effectively intercept phytoplankton and zooplankton micro-organisms while maintaining their morphological integrity.

[0075] Example 3

[0076] See also Figure 1 , which is the third embodiment of the present invention, is based on the previous embodiment, except that:

[0077] Special filter membrane, the special filter membrane adopts high-efficiency, biocompatible 7μm pore size filter membrane to effectively intercept phytoplankton and zooplankton micro-organisms while maintaining their morphological integrity.

[0078] Although the embodiments of the present invention have been shown and described, as detailed above, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A filtration system for effectively collecting aquatic organisms for accurate detection, characterized by: include A special container, which is used to hold and fix a special filter membrane to ensure the sealing and stability during the water sample filtering process; Special filter membranes, which use highly efficient, biocompatible filter membranes to effectively intercept phytoplankton and zooplankton microorganisms while maintaining their morphological integrity; A vacuum pump system, which is connected to the container and realizes rapid and uniform filtration of the water sample through negative pressure, so that aquatic organisms adhere to the surface of the filter membrane; A microscope and a camera device, wherein the microscope and the camera device are equipped with a high-precision microscope and an automatic focusing camera system for capturing clear images of aquatic organisms on the filter membrane; The backend server and analysis software are used to receive and process high-definition photos taken by a microscope, and obtain the detection results of various biological indicators in the water sample through image recognition and analysis technology.

2. A filtration system for effectively collecting aquatic organisms and facilitating accurate detection according to claim 1, characterized in that: The special container is used to hold and fix the special filter membrane to ensure the sealing and stability during the water sample filtration process. The specific implementation method is as follows: place the special filter membrane on the designated groove or plane of the container, ensure that it is flat and wrinkle-free, fix it, check whether the sealing element is intact, and replace it in time if damaged; add a sealing ring at the contact position between the container cover and the container to achieve sealing.

3. A filtration system for effectively collecting aquatic organisms and facilitating accurate detection according to claim 1, characterized in that: The specially made filter membrane uses a highly efficient, biocompatible 3-7μm pore size filter membrane.

4. The filtration system for effectively collecting aquatic organisms and facilitating accurate detection according to claim 1, characterized in that: The vacuum pump system is connected to the container, and the negative pressure is used to achieve rapid and uniform filtration of the water sample, so that aquatic organisms adhere to the surface of the filter membrane. The implementation method is as follows: Connect the special container to the vacuum pump system through pipes and joints, and ensure that the joints are well sealed and leak-free; install the special filter membrane inside the container and ensure that it is correctly positioned and firmly fixed; Before starting filtration, check the vacuum pump system to ensure that it is operating normally and without faults; adjust the parameters of the vacuum pump system to meet different filtration requirements; Inject the water sample to be filtered into the container through the water inlet of the container. Pay attention to controlling the injection speed and amount of the water sample to avoid impact or damage to the filter membrane; Start the vacuum pump system to generate negative pressure. As the negative pressure increases, the gas inside the container and part of the liquid in the water sample will be drawn out, forming a filtering effect. Under the action of negative pressure, the water in the water sample is quickly drawn out through the pores of the filter membrane, while larger particles and aquatic organisms will be trapped on the surface of the filter membrane. During the filtration process, regularly monitor the operating status and filtration effect of the vacuum pump system. If any abnormality is found, stop the system in time for inspection and adjustment.

5. A filtration system for effectively collecting aquatic organisms and facilitating accurate detection according to claim 4, characterized in that: Adjust the parameters of the vacuum pump system, including pumping rate and pressure range.

6. The filtration system for effectively collecting aquatic organisms and facilitating accurate detection according to claim 1, characterized in that: The backend server and analysis software are used to receive and process high-definition photos taken by the microscope. Through image recognition and analysis technology, the test results of various biological indicators in the water samples are obtained. The specific implementation method is as follows: The high-definition photos taken by the microscope are converted into digital signals by the image acquisition device and transmitted to the backend server through the network; a variety of data formats can be used during the transmission process to ensure the integrity and quality of the image data; The backend server is configured with a corresponding receiving interface for receiving image data from the microscope; The received image data is stored in the server’s database for subsequent analysis and processing; Preprocessing the received image; Extract key features from the preprocessed image; Use the extracted features for further analysis; The analysis software can automatically identify cells, tissues, and organ targets in the image and calculate their size, shape, and quantity parameters; Output the analysis results in the form of graphs, tables, and reports.

7. A filtration system for effectively collecting aquatic organisms and facilitating accurate detection according to claim 6, characterized in that: A variety of data formats include TIF, DM3, DM4; pre-processing of received images includes filtering, histogram equalization, and gamma correction.

8. The filtration system for effectively collecting aquatic organisms and facilitating accurate detection according to claim 6, characterized in that: Feature extraction methods include texture feature extraction based on gray-level co-occurrence matrix, multi-scale feature extraction based on wavelet transform, and feature extraction based on deep learning.

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