686 results about "Microplastics" patented technology

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 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 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 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 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 provides a method for detecting micron and nano plastics in soil or sediments and related application. The detection method comprises the following steps: providing a soil or sediment sample to be detected; the method comprises the following steps: pretreating a to-be-detected soil or sediment sample to obtain a to-be-detected solution; performing multi-stage filtration treatment on the solution to be detected to obtain micro-plastic particles in a plurality of particle size intervals; wherein the plurality of particle size intervals comprise a first particle size interval, a second particle size interval and a third particle size interval; the particle size of the first particle size interval is 1-5000 [mu] m; the particle size of the second particle size interval is 220-1000 nm; the particle size of the third particle size interval is 10-220nm; and performing quantitative analysis on the micro-plastic particles in the plurality of particle size intervals through pyrolysis-gas chromatography / mass spectrometry to obtain the mass concentration of the micro-plastic particles in the plurality of particle size intervals. The problem that the risk assessment of micron and nano plastics is not accurate enough at present can be solved to a certain extent.

The present invention relates to a process which allows the removal of microplastics present in aqueous streams by means of the immediate formation of microplastic / magnetic iron material aggregates by means of a Venturi device and the subsequent separation of the formed aggregates by applying a magnetic filter.

The invention provides a water body micro-plastic identification method and system based on a hyperspectral sensor, and relates to the technical field of micro-plastic identification. Hyperspectral data of a water body to be analyzed are obtained based on the hyperspectral sensor and preprocessed, and a local water body component end member library is obtained; matching pixels in the effective wave band spectral data with end members in a water body component end member library, and forming a two-dimensional end member matrix by the successfully matched pixels; forming a two-dimensional hyperspectral matrix by using the effective wave band spectral data; constructing a reconstruction cost function based on the abundance matrix and the two-dimensional end member matrix, and performing optimization solution on the reconstruction cost function to determine an optimal abundance matrix; k-means clustering is carried out based on the row vector of the abundance matrix; and completing the recognition of the water body micro-plastics based on the pixels of the clustering center and the abundance matrix.

The invention relates to the technical field of micro-plastic identification, in particular to a drainage basin water body micro-plastic identification method and system, which comprises a data acquisition and preprocessing module, a principal component analysis dimension reduction module, a K-means clustering optimization module, a micro-plastic classification and identification module and a result visualization module, the dimension reduction module is used for performing dimension reduction on a high-dimensional spectral data matrix and retaining key spectral features; the K-means clustering optimization module is used for carrying out clustering optimization based on the data after dimension reduction; according to the method, dimension reduction and noise and redundant information removal are carried out by means of principal component analysis to reduce calculation complexity, then efficient clustering optimization is carried out based on data after dimension reduction to reveal an internal structure of micro-plastic spectrum data, finally, classification and identification are carried out on various micro-plastics based on a clustering result, and the structure is visually displayed. The observation convenience of workers is greatly improved, and the micro-plastic identification efficiency and accuracy are also remarkably improved.

The invention relates to the technical field of soil treatment, and particularly discloses a soil micro-plastic electrostatic separation device and method.The soil micro-plastic electrostatic separation device comprises a sample pool, an electrostatic adsorption mechanism is arranged on one side of the sample pool, and the electrostatic adsorption mechanism is connected with an electrostatic discharge generator through a wire; the electrostatic adsorption mechanism comprises an adsorption plate and a connecting handle; the bottom box and the heightening frame bodies are made of wood, the height of the sample pool can be adjusted by installing the heightening frame bodies in an assembling mode, a nylon coating is arranged on the outer side of an adsorption plate and used for adsorbing micro-plastics and eradicating the risk of high-voltage electric leakage, and the height of the adsorption plate can be adjusted through an arranged supporting assembly; the particle size range of the micro-plastic covered by electrostatic adsorption is wide, compared with a traditional method, the recovery rate is remarkably improved, and the original form of the micro-plastic and the natural structure of soil are protected through normal-temperature physical separation and no reagent addition.

The invention discloses a composite fiber woven net active microbial carrier for treating nitrogen-containing wastewater as well as a preparation method and application of the composite fiber woven net active microbial carrier. The active microbial carrier is formed by weaving titanium wires, rock wool wires, iron-carbon twisted wires and PLA wires, has high biocompatibility and high specific surface area, keeps high mechanical strength, can promote efficient biofilm formation of denitrification sludge, and can promote quick start of a reactor and improve the denitrification effect after successful biofilm formation. According to the application, the requirements of'plastic reduction and plastic forbidding 'are met, the traditional plastic biological filler is replaced, the technical problem that micro-plastic particles are released due to degradation in the use process of the filler is solved, the requirement of green development is met, and remarkable economic and ecological environment values are achieved. Iron wires and carbon fibers in the iron-carbon stranded wires form a primary battery in the reactor, controllable dissolution of iron ions is spontaneously accelerated, driving is not dependent on external potential, and the concept of low carbon and environmental protection is met; additional carbon source adding is reduced through the PLA filaments, and the PLA filaments are further matched with the low-carbon and environment-friendly concept.

The invention discloses a paper base-PHA double-sided composite soil biodegradable agricultural mulching film as well as a preparation method and application thereof, and belongs to the technical field of agricultural mulching materials and green high polymer materials. The mulching film comprises a paper base layer and a homologous polyhydroxyalkanoate covering layer arranged on the surface of the paper base layer. Through double-sided synergy of the water-based PHA coating on the soil sticking surface and the thermoplastic PHA extrusion film layer on the windward and rainy surface, and in combination with a'wet-to-heat 'integrated composite process and trace anhydride grafting, super-strong combination of a paper-plastic interface fiber tearing level is realized, and the problem that traditional paper-plastic is easy to layer is solved. Compared with a traditional fluorine-containing product, on the premise that total organic fluorine is not detected, the excellent barrier and moisture conservation performance is achieved with the thinner coating thickness by means of double barriers. The product has excellent mechanical laying adaptability and long-season weather resistance, is fully biodegradable, thoroughly solves the hidden dangers of micro-plastic residues and persistent organic pollutants, and is an ideal green agricultural covering material.

The invention relates to the technical field of organic solid waste resourceful treatment, in particular to a method for enhancing degradation of biodegradable plastic compost based on white-rot fungi and manganese modified charcoal. According to the method, manganese modified charcoal and white-rot fungi are subjected to synergistic treatment, and the efficient method for intensively degrading the biodegradable plastic through aerobic composting is constructed. The method effectively overcomes the technical bottlenecks of slow degradation starting, long degradation period and easy generation of micro-plastic residues of the biodegradable plastic in traditional compost, and realizes rapid and thorough degradation of the biodegradable plastic. Besides, the method also promotes the conversion of humus precursor substances in the compost material and accelerates and stabilizes the synthesis of humus, so that the decomposition degree of the compost product is remarkably improved, and the quality and environmental safety of the final compost product are synchronously improved while the biodegradable plastic is efficiently degraded. And an efficient and reliable solution is provided for recycling of organic solid wastes and degradation of biodegradable plastic compost.

The invention provides a soil micro-plastic mobility evaluation system and method, and relates to the technical field of micro-plastic mobility evaluation, and the method comprises the steps: uniformly dividing target monitoring soil into a plurality of three-dimensional grid units, taking the center of each unit as a monitoring point position, collecting endogenous parameters and exogenous parameters, generating a comprehensive soil micro-plastic data set, and calculating the micro-plastic mobility of the soil according to the comprehensive soil micro-plastic data set; performing exception identification on the data set, identifying exceptional migration data points, setting a neighborhood search radius, and filling and correcting exceptional data by using a spatial distance attenuation rule to obtain normal micro-plastic migration data; determining a migration potential index of each monitoring site, constructing an ecological mirror image simulation model by adopting a quantum inspiration algorithm, predicting a dynamic path of the microplastics in the soil, obtaining a migration trajectory prediction result, displaying the migration trajectory prediction result by utilizing a visualization technology, and highlighting a high-risk area in a thermodynamic analysis chart. According to the method, the understanding of decision makers on micro-plastic migration is enhanced, and powerful support is provided for environment management.

The invention discloses a machine vision-based micro-plastic intelligent identification and measurement method, which comprises the following steps: filtering a water sample containing micro-plastic or not containing micro-plastic, and acquiring images under a uniform amplification factor by using a microscope to obtain a micro-plastic image to be detected and a contrast image; calculating the absolute value of the color centroid value of the contrast image and the color difference value of the micro-plastic image, generating a difference image, and carrying out denoising, graying and binarization processing on the difference image to obtain a binary image with highlighted micro-plastic; extracting pixel coordinates of the micro-plastics, setting a threshold value to carry out connected clustering, and distinguishing the micro-plastics and image impurities in combination with a preset micro-plastic recognition threshold value to realize micro-plastic recognition and quantity statistics; and further shooting a standard objective lens micrometer image, calculating the actual physical size represented by a single pixel, and automatically calculating the area and the length of the micro-plastic by combining each clustering enclosing rectangle and the number of the pixels. The method is accurate in recognition and high in operation automation degree, and can be widely applied to intelligent recognition and analysis of water body micro-plastics.

The invention relates to the technical field of monitoring analysis, and discloses a microplastic degradation process monitoring system based on microbiological treatment, which comprises the following modules: a microbiological culture module for culturing microorganisms in a microplastic degradation process and adjusting a plurality of parameters through an environmental reactor to maintain the activity of the microorganisms; the data monitoring and processing module is used for monitoring and acquiring a plurality of key indexes of the micro-plastics in the degradation liquid in the degradation process through a plurality of sensors, removing and supplementing abnormal data, and finally synchronously uploading non-abnormal data to the cloud through the Internet of Things node; and the intelligent analysis platform comprises a degradation prediction unit and a reporting unit. Through one-way comparison and relevance comparison, abnormal data monitored by the sensor are removed, the microplastic degradation efficiency is predicted by using the living environment of microorganisms, the concentration of the microorganisms and a degradation kinetic model, and the microplastic degradation efficiency can be comprehensively analyzed in combination with multiple parameters during microplastic degradation analysis.

The invention discloses a micro-plastic type and aging degree combined identification model training and application method and a related device, and relates to the technical field of micro-plastic identification, and the method comprises the steps: obtaining a sample hyperspectral image and a sample label of each micro-plastic sample in a plurality of micro-plastic samples, the sample label comprises a micro-plastic type and a micro-plastic aging degree, extracting a sample spectrum feature vector of each sample pixel point in the sample hyperspectral image, setting the sample label corresponding to the sample hyperspectral image as the sample label of each sample pixel point in the sample hyperspectral image, constructing a data set, and extracting the sample spectrum feature vector of each sample pixel point in the sample hyperspectral image; the data set comprises a sample spectrum feature vector and a sample label of each sample pixel point, constructing a deep learning model, training the deep learning model by using the data set, and obtaining a micro-plastic type and aging degree combined identification model. And the identification efficiency and accuracy are improved.

The invention relates to the technical field of analysis and detection, in particular to a method for simulating and detecting micro / nano plastic released by food contact plastic products. The method provided by the invention aims at the blank of the existing food-source micro-plastic detection system, simulative component liquid is collected by simulating the contact between food components and food plastic products, micro-nano plastics are separated through a 1m filter membrane, and micro-sized plastics on the filter membrane are qualitatively and quantitatively detected by adopting a microscopic infrared spectrum and a scanning electron microscope. The water sample under the filter membrane is subjected to qualitative and quantitative treatment on the nano-plastic by a thermal cracking-gas chromatography-mass spectrometry combined technology and a nano-particle tracking analyzer, so that programmed comprehensive detection is realized. According to the method, the amount and what kind of micro-nano plastic can be released by the plastic product in a real use chain are more clearly revealed, support is provided for a market supervision system, health and life safety of the masses are guaranteed, and the method has a good application prospect.

The invention belongs to the technical field of biological membrane removal, and particularly relates to a method for removing a biological membrane on the surface of micro-plastic. Comprising the following steps that micro-plastic is added into an ethanol solution with the volume concentration being 30%-90% for cracking, and the adding amount of the micro-plastic is 20 g / L; carrying out ultrasonic treatment for 10-40 minutes after cracking, cleaning to remove a biological membrane which falls off after ultrasonic treatment, and drying after cleaning to obtain the micro-plastic without the biological membrane. The biological membrane on the surface of the micro-plastic is removed to the greatest extent under the condition that the physicochemical properties of the micro-plastic are not changed.

The invention belongs to the field of contaminated soil remediation and microplastic pollution treatment, and relates to a rotary coaxial DBD plasma treatment device for degrading microplastics in soil. The device comprises a DBD plasma reactor, a gas supply module, an electrode rotating mechanism and a control module, the DBD plasma reactor comprises an inner electrode, a dielectric layer and an outer layer ground electrode; the inner electrode and the outer-layer ground electrode are coaxially arranged, the dielectric layer is arranged between the inner electrode and the outer-layer ground electrode, a gap is reserved between the dielectric layer and the inner electrode, and the inner electrode and the outer-layer ground electrode are respectively connected with the electrode rotating mechanism; the appearance of the inner electrode is of a truncated cone structure, and the surface of the inner electrode is of a spiral structure evenly distributed in the axial direction. By adopting the device disclosed by the invention, the degradation uniformity and thoroughness of the fixed coaxial DBD reactor can be obviously improved.

The present invention provides a microplastic degradation device based on acoustic-photothermal synergistic catalysis, which first promotes a Fenton-like activation oxidation reaction between a water sample to be tested and an activated oxidant by acoustic wave catalysis through an acoustic mold component, and simultaneously promotes the above-mentioned Fenton-like activation oxidation reaction by photothermal catalysis after being irradiated with light through a photothermal catalytic layer. Compared with the existing microplastic degradation technology, the microplastic degradation device based on acoustic-photothermal synergistic catalysis can simultaneously utilize more catalytic reaction modes and have a synergistic effect, and can achieve degradation treatment with lower energy consumption and shorter degradation time in the field of microplastic degradation, thereby effectively improving the degradation efficiency of microplastics in the water sample to be tested.

The invention provides a biochar-zero-valent iron enhanced bentonite-based vertical barrier material for combined polluted underground water, which comprises sodium modified calcium bentonite and sandy soil, and also comprises biochar and slow-release zero-valent iron particles, and the slow-release zero-valent iron particles are formed by mixing and stirring micron-sized zero-valent iron and sodium alginate. Related preparation methods and uses are also provided. The anti-seepage performance of the biochar-zero-valent iron enhanced bentonite-based vertical barrier material for combined polluted underground water meets the anti-seepage requirement that the permeability coefficient is lower than 10 <-9 > cm / s under the stress of heavy metal, chlorinated hydrocarbon and micro-plastic combined polluted underground water, heavy metal can be effectively reduced and precipitated, chlorinated hydrocarbon is dechlorinated, and micro-plastic is adsorbed; therefore, the concentration of composite pollutants in underground water is reduced, and the long-acting performance of the vertical barrier material is improved.

The invention discloses a micro-plastic detection model construction method, a detection method, equipment and a medium. The method comprises the following steps: constructing a micro-plastic detection model; the feature extraction module is used for extracting feature maps of various different scales from an input image, performing feature fusion and feature enhancement on the feature maps of various different scales, and then identifying micro-plastic information from the feature maps and outputting the micro-plastic information; the model comprises an MFM module, an FS-C3k2 module and a GSConvE module; the MFM module is used for carrying out feature fusion on feature maps of different scales; the FS-C3k2 module is used for dividing an input feature map into two channels, one channel is spliced with the other channel after space-frequency feature extraction and feature enhancement, and a first enhanced feature map is obtained; the GSConvE module is used for performing deep feature enhancement on the first enhanced feature map; and taking model loss function minimization as a target training model. According to the invention, the precision and accuracy of micro-plastic detection are improved.

The invention provides an aerogel film with a continuous gradient pore structure and a preparation method and application thereof.The preparation method comprises the steps that a pre-crosslinking solution containing a polymer nanofiber suspension, a sodium alginate solution, a polyethyleneimine aqueous solution and a crosslinking agent is sprayed to a temperature-conducting substrate with the initial temperature ranging from-20 DEG C to-15 DEG C at high pressure; and freeze-drying to obtain the aerogel film with the continuous gradient pore structure. The aperture of the aerogel film is gradually increased from bottom to top, and the range of the aperture is mainly 1-110 [mu] m. The aerogel film is placed in a filter membrane clamp, so that a solution to be filtered passes through the aerogel film according to the sequence of'macropore-mesopore-micropore ', the aerogel film is used for intercepting and recycling particles with different sizes, such as micro-plastics, and high water flux and high rejection rate are both considered. The pore size of the aerogel film can be changed by adjusting the temperature of the temperature-conducting substrate; the prepared aerogel film improves the trade-off effect in the existing filtration separation technology, and has a wide market prospect.

The invention belongs to the field of environmental pollution control, and discloses a micro-plastic sea-entering transportation simulation method based on a plume model and an artificial intelligence model, and the method comprises the steps: collecting micro-plastic attribute data, environment data and micro-plastic historical transportation data of an estuary region; constructing a plume model; inputting the micro-plastic attribute data and the environment data into the plume model to obtain a preliminary transportation result; training an artificial intelligence model; inputting the preliminary transportation result into the trained artificial intelligence model to obtain micro-plastic transportation process prediction data, and iteratively optimizing key parameters of the plume model based on the micro-plastic transportation process prediction data and micro-plastic transportation process real data to obtain an integrated optimized plume model and artificial intelligence model; and inputting environment data and micro-plastic attribute data which are acquired in real time into the plume model and the artificial intelligence model which are integrated and optimized to obtain a micro-plastic transportation simulation result. According to the invention, accurate transportation simulation of the micro-plastic in the estuary area can be realized.

The invention relates to the technical field of dissolvable organic matters, and discloses a method for exploring photochemical reactivity of microplastic derived dissolvable organic matters, which comprises the following steps: S1, sample preparation: selecting microplastic as a source of the dissolvable organic matters, and generating MP-DOM through a leaching experiment; different types of MP-DOM samples are subjected to illumination treatment, and the DOM samples before and after illumination are analyzed through Fourier transform ion cyclotron resonance mass spectrometry; s2, generating a molecular formula data set: calculating a plurality of molecular parameters for describing chemical characteristics of each molecular formula by using molecular formula data generated by Fourier transform ion cyclotron resonance mass spectrometry; according to the method for exploring the photochemical reactivity of the micro-plastic derived soluble organic matter, the FT-ICR-MS technology and the machine learning algorithm are combined, the RF model is superior to other models in predicting the MP-DOM photochemical reactivity, the complex DOM photochemical reactivity can be effectively analyzed, and a more accurate prediction result is provided.

The invention discloses a multi-layer synchronous micro-plastic observation system and method based on ocean frontal surface tracking. The system comprises a frontal surface tracking ship and a frontal surface crossing observation ship; a Manta trawl net and a sampling pump are installed in the sampling device; an ADCP and a CTD are installed in the latter. The method comprises the following steps: selecting one or more legs on a frontal surface; carrying out micro-plastic tracking navigation along the frontal surface direction of the frontal surface tracking ship; collecting micro-plastic particles on a surface layer and a vertical section; carrying out cross-frontal surface navigation perpendicular to the frontal surface direction of the cross-frontal surface observation ship; calculating a salinity horizontal gradient based on interpolation, calculating horizontal flow velocity divergence, and then performing observation data fitting to obtain a corresponding relation between frontal surface strength and micro-plastic abundance. According to the invention, key data are synchronously acquired through a double-working ship system, so that the acquisition of micro-plastics at the ocean frontal surface and the observation of physical elements are realized, and the influence and action relationship of the physical elements of the ocean frontal surface on the micro-plastics is established.

The invention relates to the technical field of micro-plastic detection, and discloses a quick micro-plastic detection method based on image recognition, which comprises the following steps: acquiring three-dimensional time domain fluorescence lifetime data under multi-wavelength excitation by tuning a pulse laser source and a time-dependent single photon counting (TCSPC) technology; then, dynamic harmonic Fourier transform is adopted to process the fluorescence attenuation signal, the harmonic order is adjusted according to the signal-to-noise ratio, and the frequency domain characteristics of the data are optimized; then, mapping a fluorescence attenuation signal to a quantum state space, extracting an intrinsic parameter of fluorescence lifetime through a variable component sub-algorithm, and further combining a high-order tensor decomposition model and a quantum optimization algorithm to optimize a tensor factor combination; and finally, reconstructing a fluorescence lifetime intrinsic parameter based on the combination of the matrix product state and the optimal tensor factor, extracting a feature vector, and applying the feature vector to classification and detection of micro-plastic types. According to the invention, through combination of quantum calculation and a classical algorithm, the precision and efficiency of micro-plastic type identification are improved.