1124 results about "Microplastics" patented technology

The invention discloses a soil micro-plastic pollution monitoring analysis method based on big data analysis, and relates to the technical field of monitoring analysis. Comprising the following steps: arranging a sensor and sampling equipment, and collecting micro-plastic data; the method comprises the following steps: researching migration and diffusion laws of micro-plastic data in soil in different time periods by utilizing a time sequence analysis method, and constructing a dynamic migration model of micro-plastic in combination with meteorological conditions and geographical conditions; the method comprises the following steps: performing spatial analysis on micro-plastic concentration data of a monitoring area, identifying a high-risk area of micro-plastic pollution, and preliminarily determining a gathering area and a pollution source of pollutants; and comparing the position of the pollution source with a historical pollution source record, verifying the accuracy of the pollution source, and generating early warning information of a potential pollution source. According to the invention, meteorological and topographic factors are combined to identify the trend and path of pollutant diffusion, so that the positioning of the pollution risk area is more accurate, and comprehensive monitoring and deep analysis of micro-plastic pollution are realized.

Detection of microplastics is accomplished using a combination of techniques. A position-detection technique such as crossed-polarization detection, autofluorescence detection, or photothermal infrared imaging is used to determine the locations of microplastics in a sample. Infrared absorption can be detected at those locations to characterize the microplastics. In this way the microplastic content can be located and characterized more quickly and accurately than using conventional techniques.

The invention relates to the technical field of microorganisms, in particular to plant lactobacillus MPs-68 capable of adsorbing microplastics and degrading uric acid and application of the plant lactobacillus MPs-68. The provided plant lactobacillus MPs-68 capable of adsorbing microplastics and degrading uric acid is a marine-derived natural strain, the preservation number is CGMCC No.31976, the plant lactobacillus MPs-68 has a remarkable adsorption effect on microplastics polystyrene and polyethylene, has the function of degrading uric acid, and is high in oxidation resistance, gastric acid resistance, cholate resistance and intestinal colonization capacity, and the plant lactobacillus MPs-68 can be used for adsorbing microplastics and degrading uric acid. The method has important application value in the fields of food or health care products for assisting adsorption of micro-plastics and reduction of uric acid and the like. The invention also provides a microbial agent, a probiotic product, a functional food, a fermentation product, a microecological preparation, a microplastic adsorbent and a microplastic adsorbent compounded with the lactobacillus brevis MPA01 (the preservation number is CGMCC No.31977) containing the phytobacterium plantarum MPs-68 capable of adsorbing the microplastics and degrading the uric acid, and the microplastic adsorbent has the effects of adsorbing the microplastics, degrading the uric acid and the like.

The invention discloses a microplastic transport simulation and risk identification method based on multi-factor coupling, which comprises the following steps: by coupling a hydrodynamic model and a microplastic transport model, comprehensively considering multiple environmental factors such as tide, water level, runoff, wind speed, wind direction and the like, constructing a wave flow coupling microplastic migration and diffusion model suitable for complex hydrodynamic conditions of a Pearl River estuary; the model is calibrated and verified through measured data, and the precision of the model is evaluated by using indexes such as a Nash efficiency coefficient and a root-mean-square error; in combination with the simulation result and the spatial distribution characteristics of the typical sensitive area, representative sections and stations are selected, and annual-scale micro-plastic concentration change analysis is carried out; and further introducing an ecological risk index to carry out regional ecological risk grade identification, and determining a micro-plastic high-risk area and influence main control factors. The method has high regional adaptability and expansibility, and scientific support and technical reference can be provided for prevention and control of microplastic pollution of estuary and coastal water.

The invention provides an underwater micro-plastic detection method and system, and a storage medium. The method comprises the following steps: collecting a polarization hologram of a micro-plastic sample to be detected; separating the polarization hologram to obtain polarization images in different polarization directions, and performing fusion processing on the polarization images to obtain a fusion image for classification and identification; and inputting the fused image into a neural network for classification and identification of micro-plastics. Based on the deep learning and polarized light imaging principle, efficient and accurate identification of the micro-plastic is realized. Through the innovative network structure design, the accuracy of underwater small target recognition can be effectively improved, and the limitation of a traditional method in the aspects of form diversity and dispersity is overcome. According to the scheme, real-time monitoring can be achieved in a complex underwater environment, the detection accuracy and speed are remarkably improved, nondestructive detection of the sample is guaranteed, and economic benefits and ecological benefits are both achieved.

The invention relates to the technical field of regeneration of waste polyester, in particular to a polyester micro-plastic recycling and impurity removing method and equipment. According to the method, the irradiation technology is adopted for treating the polyester micro-plastic, the polyvinyl chloride is removed by combining electron beam irradiation with the specific gravity method, the radiation dosage and time are accurately controlled, the polyvinyl chloride in the polyester micro-plastic can be effectively removed, the color of the polyester micro-plastic is not affected, and the treated polyester micro-plastic can meet the spinning requirement. The equipment is used for realizing the impurity removal method and comprises irradiation treatment equipment, a separation tank, a cleaning tank, a dehydrator and a drying tower. The equipment is simple in structure and convenient to operate, the radiation dosage and time can be accurately controlled in the impurity removal process, the surface temperature of the polyester micro-plastic is effectively controlled, and production and popularization are easy.

The invention discloses cellulose hybrid aerogel for adsorbing microplastics as well as a preparation method and application of the cellulose hybrid aerogel. Cellulose is extracted from agricultural solid wastes, and the cellulose surface contains abundant hydroxyl groups, so that a network structure can be formed through crosslinking, and the cellulose can be used as a matrix of aerogel; vermiculite with a layered structure is used as a reinforcing component, the structural stability of the aerogel is improved through uniform dispersion in the aerogel, the specific surface area of the vermiculite is large, hydroxyl is contained in a crystal structure, hydrogen bonds can be formed for interaction, and adsorption is facilitated; polyethyleneimine is adopted as a cellulose modifier, and a large number of amino groups beneficial to adsorption are introduced, so that the adsorption performance of the aerogel can be effectively improved. According to the method, agricultural solid wastes and vermiculite are taken as raw materials, and the prepared cellulose hybrid aerogel has the advantages of high porosity, large specific surface area, convenience in recovery and the like, can form hydrogen-bond interaction and electrostatic adsorption with micro-plastics, and not only has excellent adsorption performance, but also has relatively good repeated recycling performance.

The invention discloses a method for detecting the biological enrichment microplastic degree of bivalve mollusks in a deep sea extreme environment. According to the method, biocenosis is sampled to acquire a community structure representing a biological bed layer, then morphological characterization statistics is carried out to classify age stage data of shellfish individuals, a multivariate factor analysis method is used to obtain the shellfish individuals with the largest contribution degree in each classification age stage, then tissue-divided micro-plastic extraction is carried out, and the classification age stage data of the shellfish individuals with the largest contribution degree is obtained. The method comprises the following steps: reducing the form of seabed micro-plastics, carrying out process identification on full-size micro-plastics, tracing the duration of adsorbing the micro-plastics by each shellfish monomer by virtue of a carbon-14 dating method, and constructing a seabed shellfish dynamic enrichment curve by splicing the life of each shellfish; and finally amplifying to the whole shellfish bed layer to deduce the microplastic enrichment rate and historical accumulation amount of the whole extreme ecosystem. The method provides a scientific basis and a technical support for formulating an effective marine environment protection strategy and clarifying a marine micro-plastic source-sink relationship.

The invention discloses a method for predicting the heavy metal adsorption capacity of micro-plastics, which comprises the following steps of: screening heavy metal and micro-plastic adsorption data from literature and professional databases, and arranging the data into a sample data set; performing preprocessing including data cleaning, missing value processing and data standardization on the sample data set; constructing an adsorption capacity prediction model, and performing training and evaluation to determine an optimal prediction model; using random search, Bayesian optimization or grid search to adjust hyper-parameters of the model; and carrying out adsorption capacity prediction on microplastics and heavy metals with unknown adsorption capacities by using the adsorption prediction model. The method can be practically applied to research on adsorption of the heavy metal ions to the micro-plastics, interaction between the heavy metal ions and the micro-plastics can be visually understood, and ecological risks caused by coexistence of the heavy metal ions and the micro-plastics can be evaluated.

The invention relates to a marine-source microbacterium laminae CJB-Jou02 strain capable of efficiently biodegrading PE (polyethylene) microplastics, and the degradation capability of the marine-source microbacterium laminae CJB-Jou02 strain is evaluated. According to the microbacterium capable of degrading the PE micro-plastic leaves, the microbacterium is screened out from a marine mud sample, the preservation number of the strain is CGMCC 29643, the strain treats high-density PE micro-plastic for 30 days, the weight loss rate reaches up to 16.6 + / -0.46%, and the microbacterium can be used for degrading the PE micro-plastic leaves. Based on test results of a scanning electron microscope, a Fourier transform infrared spectrum, a water contact angle instrument and an X-ray diffractometer, the strain is proved to have the capability of efficiently biodegrading the PE micro-plastic, the compact crystal structure of the PE micro-plastic is damaged, the particle diameter is obviously reduced, and the hydrophilicity is increased. Meanwhile, the invention also finds that the microbacterium leaf strain CJB-Jou02 has certain degradation capacity on PE (polyethylene) membranes and microplastic bacteria such as PA (polyamide), PP (polypropylene), PS (polystyrene), PET (polyethylene terephthalate) and the like, and a new solution is provided for solving the problem of environmental pollution of PE microplastics.

A system for detecting plastics, macro-plastics, micro-plastics and nano-plastics in a maritime, estuary or river environment includes multiple detection devices and a data processing device. The detection devices detect the plastics, macro-plastics, micro-plastics, and nano-plastics using different detection wavelengths. The data processing device includes a communication interface and a processor. The communication interface receives detection signals from the detection devices and the processor determines locations of the plastics, the macro-plastics, the micro-plastics and the nano-plastics in the environment based at least in part on the received detection signals within a common coordinate system.

The invention discloses a biodegradable plastic and a preparation method thereof, belongs to the field of bioplastic preparation, and aims to solve the problem that the existing plastic is slow in degradation rate in a marine environment. The biodegradable plastic is prepared from the following components in percentage by weight: 50-80% of a biomass-based high polymer material; 10 to 35% of a degradable toughening agent; 1-5% of a photosensitizer; 2-10% of a microbial inducer; 1-5% of a processing aid; after the biomass degradable plastic is subjected to ultraviolet radiation for 7-15 days in a marine environment, initial cracks with the density being larger than or equal to 20 pieces / cm < 2 > appear on the surface, the initial cracks are broken into degradation units with the particle size being 5-20 mm after being subjected to mechanical impact of sea waves for 30-60 days, and the biological decomposition rate of the degradation units is larger than or equal to 90% within 6-12 months under the action of marine microorganisms; and no micro-plastic particles with the particle size of less than or equal to 1mm exist in the residual product. Through the synergistic effect of the photosensitizer and the microbial inducer, the degradation period in the marine environment is shortened, the degradation efficiency is improved, and the method is remarkably superior to the prior art.

The invention provides a method for detecting influence of microplastics and antibiotics on a sediment microbial community structure and an ecological function. The method comprises the following steps: acquiring a sediment sample at a sampling point; adding the micro-plastic particles and the antibiotic solution into the sediment sample, and incubating; dNA of the microorganisms is extracted, and 16S rRNA sequencing is carried out; and on the basis of a sequencing result, microbial community diversity and characteristic bacterial class group identification and ecological function evaluation are carried out. According to the invention, the comprehensive effect of micro-plastic and antibiotic combined pollution on the structure and ecological function of the microbial community in the sediment is comprehensively analyzed for the first time, and the detection speed and accuracy of the microbial community in the sediment are improved by applying a 16S rRNA detection technology; and a solid support is provided for formulating an environment protection strategy, optimizing pollution control and implementing an ecological restoration project.

The embodiment of the invention belongs to the technical field of image processing of artificial intelligence, and relates to a micro-plastic type identification method and device, computer equipment and a storage medium, and the method comprises the steps: receiving a to-be-classified fluorescence spectrum image sent by a user terminal; performing preprocessing operation on the fluorescence spectrum image to obtain a preprocessed spectrum image; the trained spectrum classification model is called to carry out category identification operation, a category identification result is obtained, and the spectrum classification model adopts a random forest and a support vector machine method to carry out classification; and outputting the type identification result to the user terminal. According to the method, rapid identification and classification of the micro-plastics can be realized, the input image is the spectral image acquired by using the microspectrometer, the visual prediction result is output by the machine learning model after spectrum extraction, and the identification accuracy of the micro-plastic spectrum is effectively improved.

The invention relates to a micro-plastic polluted water area space distribution identification method based on remote sensing, particularly relates to the technical field of environment monitoring, and solves the problems that various characteristic data of micro-plastic are difficult to analyze through image processing software, and the characteristics are difficult to comprehensively construct a model to output a water area comprehensive pollution degree value. The method comprises the following steps: extracting 70% of sample data from a target water area, and preprocessing the sample data; screening out samples with micro-plastic abundance not smaller than the abundance average value of the micro-plastic in the target water area; extracting feature data from the remote sensing image, wherein the feature data comprises a total color adsorption capability degree, a total shape coverage capability degree and a total water turbidity degree; constructing a model by using the feature data to obtain a water area comprehensive pollution degree predicted value; spatial distribution of comprehensive pollution degree predicted values is generated through the GIS technology, and different colors are used for representing different pollution degrees.

The invention belongs to the field of environmental protection and pollutant treatment, and relates to a method for enriching and detecting microplastics in a surface water body. The lignin is grafted with amido and carboxyl through two-step reaction, firstly, carbon quantum dot active site powder with positive charges on the surface is prepared, the carbon quantum dot active site powder is cross-linked with the modified montmorillonite, and the carbon quantum dot active site microporous adsorbent is prepared, so that the prepared adsorbent has multiple surface functional groups and multiple and uniform active sites, and the adsorption efficiency is improved. The adsorption speed of the micro-plastics in the water body can be increased, the adsorption capacity of the micro-plastics in the water body is improved, and rapid enrichment and separation of the micro-plastics in the water body are realized. Based on the enrichment and separation method, the invention further provides a method for measuring the microplastics in the water environment. According to the invention, rapid filtration, enrichment and detection of micro-plastics in water are realized, the operation is simple and convenient, and the accuracy is high.

The invention provides a method for simultaneously detecting various micro-plastics in water, and belongs to the technical field of micro-plastic detection. The method comprises the steps of sample pretreatment, thermal cracking-gas chromatography-mass spectrometer measurement, qualitative analysis and quantitative analysis. The method comprises the following steps: taking a water sample, uniformly shaking, filtering with a filter membrane, taking the filtered filter membrane, adding acetone, carrying out ultrasonic elution, washing the filter membrane, and collecting an eluent; adding acetone into the eluted filter membrane, carrying out ultrasonic elution again, washing the filter membrane, collecting the eluent, combining the two eluents, heating and concentrating in a water bath, adding acetone, ultrasonically mixing, transferring into a cracking cup, heating and volatilizing, and determining by a thermal cracking-gas chromatography-mass spectrometer. Carrying out qualitative analysis through analysis of cracking products with different types of micro-plastic characteristics, and then carrying out quantification through an external standard method; the method provided by the invention can accurately quantify the six microplastics in the effluent, and has the advantages of simple pretreatment, small sampling amount, high accuracy and lowest detection limit of 0.012 [mu] g / L.

A closed loop system for and method of capture, recycling, and safe disposal of microplastics, applied to residential and commercial textile washing and drying machine devices is proposed. The closed loop system allows for effective capture, processing and recycling, or safe disposal of microplastic material. The system employs an easy-to-use filter design, optimized to capture microplastics within the device or through air or water discharge lines, followed by post-processing of filter devices where the captured microplastic residue is physically or chemically processed for either recycling the captured microplastic residue into new filters or new products, or alternatively the captured microplastic residue can be locked into a safe matrix for disposal, wherein leaching from landfills into the environment is minimized or eliminated.

The invention provides an MP migration path and settling velocity monitoring system and method based on numerical modeling. The system comprises a sensor module, an offshore sampling device, a preprocessing module, a numerical model module, a discretization solving module, a data analysis module and a visualization module. According to the micro-plastic migration path and settling velocity monitoring system provided by the invention, the prediction process of micro-plastic migration and settling velocity is optimized by utilizing a numerical modeling technology, and the simulation accuracy and efficiency of micro-plastic behaviors in a complex marine environment are remarkably improved. The method is especially suitable for effective tracking and quantitative analysis of the microplastics under dynamically changing ocean conditions, and a more efficient data processing platform is created to monitor behaviors of the microplastics, so that environmental protection measures are optimized, and ocean management efficiency is improved.

The invention discloses a microplastic transportation path prediction method, device and equipment based on a complex hydrodynamic environment and a medium, and relates to the technical field of environment monitoring and water pollution governance, and the method comprises the steps: integrating a watershed digital elevation model, a river channel vector diagram, microplastic attributes and real-time hydrological data; a dynamic adjacency matrix is used for capturing water flow direction changes, multi-modal feature fusion is combined for modeling micro-plastic physical attributes and topographic resistance, the problem of monitoring data scarcity is solved through a cross-basin transfer learning strategy, a micro-plastic transfer path is accurately predicted, high-precision simulation of micro-plastic transfer in a complex hydrodynamic environment is achieved, and high-precision simulation of micro-plastic transfer in a complex hydrodynamic environment is achieved. The pollution prevention and control efficiency is improved.

The invention relates to the field of soil substance detection, and discloses a soil plastic detection method and system based on multi-modal fusion and deep learning, and the method comprises the following steps: obtaining one-dimensional hyperspectral data of a to-be-detected soil sample; converting the one-dimensional hyperspectral data based on an image conversion algorithm to obtain two-dimensional image representation; performing feature extraction on the one-dimensional hyperspectral data based on a first preset algorithm to obtain spectral features; performing feature extraction on the two-dimensional image representation based on a second preset algorithm to obtain image features; performing multi-view probability fusion on the spectral features and the image features to obtain fusion features; and inputting the fusion features into a pre-trained double-path attention residual convolutional network model for classification to obtain a detection result of the micro-plastics in the to-be-detected soil sample. According to the method, the detection accuracy is improved, the model robustness is enhanced, and low-concentration detection is realized.

The invention discloses a micro-plastic integrated intelligent detection device, which comprises: a sample pretreatment module, which comprises a sample mixing module, a filtering separation module, an enrichment concentration module and a surface modification and marking module which are communicated in sequence and is used for mixing, filtering, enriching, modifying and marking a sample in sequence; the immunoreaction module is used for performing immunoreaction on the sample and the anti-polystyrene monoclonal antibody freeze-dried product marked by the quantum dot fluorescent microspheres; the fluorescence detection module is used for carrying out fluorescence detection on the test strip subjected to the immune reaction; the automatic control module is electrically connected with the sample pretreatment module, the immunoreaction module and the fluorescence detection module and is used for controlling the operation of each module. According to the invention, the sample processing module, the reaction module, the detection module and the control module are in close cooperation, the sample enters each module in sequence after simple pretreatment, detection and result output are semi-automatically completed, frequent manual operation of different instruments is not needed, the operation steps and time are reduced, and the operation difficulty is reduced.

The invention provides a composite pollution repairing agent as well as a preparation method and application thereof, and belongs to the technical field of environmental functional materials. The composite pollution repairing agent comprises biochar, nano zero-valent iron (nZVI) loaded on the biochar, cyclodextrin and heteroatoms, and at least part of the nZVI is wrapped in the cyclodextrin. According to the prepared composite pollution repairing agent, solid waste resource utilization can be effectively achieved, the removal rate of micro-plastics reaches 90% or above, and the removal rate of heavy metal is 100%. The composite pollution repairing agent has excellent performance and good application prospect, provides a feasible solution for micro-plastic and heavy metal composite pollution treatment, and shows remarkable practical application value.

The invention discloses a machine vision learning-based micro-plastic quantity and type intelligent identification method, and relates to the technical field of image identification and micro-plastic detection. The method at least comprises the following steps: S1, obtaining quantity and morphological characteristic information of micro-plastics through an experiment or other related methods, and combining and processing to form a typical characteristic database of the micro-plastics; s2, introducing machine learning and a YOLO algorithm to construct a basic recognition model; on the basis of machine vision learning, an efficient, rapid, convenient-to-operate and low-cost intelligent quantitative method for the number of the micro-plastics is established, the detection time is greatly shortened, the types of the micro-plastics can be distinguished by identifying the colors of the micro-plastics, the problem that the micro-plastics are difficult to analyze on a large scale in an existing method can be solved, and the method is suitable for large-scale analysis of the micro-plastics. And an accurate, efficient and economical micro-plastic intelligent batch identification effect is achieved.

The invention discloses a method for extracting and analyzing microplastics in activated sludge, and belongs to the field of pretreatment and detection of environmental pollutant analysis. According to the technical scheme, the method comprises the steps of screening a micro-plastic extracting solution in an activated sludge sample and extracting and separating the micro-plastic, wherein the steps comprise density flotation extraction, centrifugation, supernate filtration, organic matter oxidation digestion, micro-plastic refiltration, reflotation extraction and collection and micro-plastic analysis. The pH value of the extracting solution is alkaline, the extracting solution does not react with active sludge components, and the problems that a large number of bubbles generated during flotation of a conventional flotation solution are difficult to eliminate for a long time, exothermic reaction occurs, the temperature of the solution is rapidly increased, and micro-plastic deforms and deteriorates are solved; the used filter membrane can be used for directly performing spectrum-mass spectrum qualitative and quantitative analysis without spectrum absorption, so that the miss detection phenomenon of incomplete transfer possibly caused by transfer of the micro plastic particles is avoided; the wet activated sludge sample is directly extracted and separated, so that the efficiency is high.

The invention discloses a micro-plastic collection device for rural domestic sewage, and belongs to the field of micro-plastic collection, the micro-plastic collection device comprises a treatment tank, a guide plate is fixedly connected to the inner surface of the treatment tank, a feeding pipe is fixedly connected to the outer surface of the upper end of the treatment tank, and the lower end of the feeding pipe penetrates to the inner side of the treatment tank; a feeding assembly is arranged on the outer side of the feeding pipe and comprises a rotating sleeve rotationally connected with the outer surface of the feeding pipe, blades are fixedly connected to the outer surface of the rotating sleeve, and a fixing frame is fixedly connected to the inner surface of the rotating sleeve. By arranging the collecting assembly, micro-plastics in sewage can be effectively adsorbed and collected through a porous structure of nano magnetic powder, the nano magnetic powder can have a good adsorption effect on the micro-plastics in different shapes and sheet shapes, meanwhile, the micro-plastics in the sewage are effectively adsorbed and collected through cooperation of the nano magnetic powder and a magnetic roller, and the sewage treatment efficiency is improved. Therefore, the collection quality of the micro-plastics can be effectively improved.

The invention relates to a method for separating micro-plastics from sediment rich in organic matters in mangrove forest, which comprises the following steps: sediment pretreatment: freeze-drying a sample, sieving, and oscillating and dispersing by using an alkaline buffer solution with the pH value of 9.0-10.0; performing density gradient centrifugation: sequentially performing step-by-step centrifugation by using a NaI solution with the concentration of 1.1-1.3 g / cm < 3 > and a ZnCl2 solution with the concentration of 1.5-1.7 g / cm < 3 >; enzymatic hydrolysis purification: digesting a centrifugal product with a compound enzyme solution at 35-40 DEG C for 4-8 hours; and vacuum filtration: collecting the micro-plastics by using a filter membrane with the aperture of 0.2-0.8 mu m. According to the method for separating the micro-plastics from the sediments rich in the organic matters in the mangrove forest, the density range of all common plastics is accurately covered by dual-density gradient centrifugation, the average recovery rate of 0.1-5mm micro-plastics in the sediments in the mangrove forest reaches 90.2 + / -3.5%, the degradation efficiency of typical organic matters in the mangrove forest by adopting organic matter interference elimination and cellulase and protease combination reaches 92.4%, and the degradation rate of the typical organic matters in the mangrove forest reaches 92.4%. Therefore, the separation efficiency is effectively improved, the contact ratio of particle size distribution curves of 1 mu m-5 mm before and after treatment reaches 98.2%, and the integrity of the micro-plastic can be effectively guaranteed.

The invention discloses a surface enhanced Raman scattering (SERS) micro-plastic detection method based on a solvent dispersion strategy, which comprises the following steps: filtering and enriching a liquid containing a sample to be detected by adopting a centrifugation and suction filtration mode or a mode of adopting a Raman substrate with a filtering function, dissolving the filtered sample to be detected by using an organic solvent; heating to completely volatilize the organic solvent, performing Raman detection on the to-be-detected sample to obtain Raman signal intensity, substituting the obtained Raman signal intensity into a known relationship between the sample concentration and the Raman signal intensity, and finally obtaining the actual concentration of the to-be-detected sample. According to the method, the micro-plastic is dissolved and dispersed in the organic solvent, and then the micro-plastic is subjected to Raman detection, so that the problems of low loading efficiency and low detection sensitivity of a sample to be detected are effectively solved. The method is convenient to operate, the structure of the micro-plastic cannot be damaged, the sample enrichment, dispersion and detection efficiency is effectively improved, meanwhile, the signal intensity is enhanced, background interference is reduced, repeatability is improved, the method has wide applicability, and the micro-plastic Raman detection is more efficient and faster.

The invention discloses a coupling algorithm for studying the influence of micro-plastics on fishes based on unstructured grids, and aims to deeply understand the influence of the micro-plastics on fish ecology in the ocean. According to the method, a Lagrange advection model and a diffusion equation are combined to simulate the transmission and diffusion process of the micro-plastic particles, and the spatial position of each particle is calculated and the trajectory of the particle is tracked by introducing real ocean current data. A large-scale sparse linear system generated in the simulation process is solved by adopting a GMRES method, so that the calculation efficiency and stability are ensured. And a Crank-Nicolson method is also utilized to carry out time stepping, so that the numerical stability is improved. The spatial distribution of the micro-plastics is truly reflected by interlacing the time step length and coupling the Lagrange advection and diffusion process. In consideration of specific behaviors of fish schools, the density change rate of the fish schools is jointly determined by inherent movement, diffusion and micro-plastic concentration gradient, so that the potential influence of micro-plastic on marine fish ecology is evaluated.

The present invention relates to a process for the quantification and analysis of microplastics contained in aqueous matrices, comprising the magnetic separation of microplastics by the interaction of said microplastics with magnetic iron material particles, forming microplastic / magnetic iron material aggregates, the selective oxidation of the particles of a non-plastic organic nature, and the quantification and / of the separated microplastics.