32 results about "Bioaccumulation" patented technology

The invention discloses application of ursolic acid in resisting fish ichthyophthiriasis. The ursolic acid has a remarkable killing effect on ichthyophthirius multifilis in an in-vitro stage, and the 4-hour half effective insecticidal concentration (4h-EC50) of the ursolic acid on a grazing body is 0.3774 mg / L; and the 22-hour half effective insecticidal concentration (22h-EC 50) on the capsule is 4.931 mg / L. An acute toxicity test shows that the 96-hour median lethal concentration (96h-LC50) of ursolic acid to goldfish is 9.358 mg / L, the therapeutic index (TI = 96h-LC50 / 4h-EC50) is up to 24.8, and the safety of ursolic acid is remarkably superior to that of a traditional medicine. Ursolic acid used in the invention is a plant-derived active component, has the characteristics of high environmental compatibility and low biological accumulation, meets the development requirements of green fishery, and has an industrialization basis for being developed into eco-friendly aquatic products.

The invention relates to the technical field of environmental toxicology and ecological risk assessment, in particular to a system and a method for predicting chronic toxicity of bioaccumulation pollutants, and the system comprises a data acquisition and processing module, a model training and optimization module, a toxicity prediction module and an ecological risk assessment module. According to the method, full-process prediction is realized through data standardization, feature engineering, model training and model prediction; tissue residual toxicity data is obtained and standardized, a multi-dimensional characteristic matrix containing pollutant physicochemical properties, species biological characteristics and experimental conditions is constructed, a toxicity prediction model is optimized by using a machine learning algorithm, and tissue residual toxicity prediction of fishes in different life stages is realized. And calculating a risk quotient based on the predicted value, and generating a risk assessment report. The problems that an existing system depends on water body concentration toxicity data, is lack of biological accumulation pollutant chronic toxicity prediction capacity and does not aim at an endangered characteristic optimization model are solved.

A method for detecting the extent of microplastic accumulation in bivalve organisms in extreme deep-sea environments is provided. This method is performed through sampling of biological communities to represent the community structure of that biological bed layer, then morphological characterization statistics are conducted to classify the age stage data of individual bivalves, multivariate factor analysis is used to obtain the individual bivalves with the greatest degree of contribution in each classified age stage, subsequently tissue-specific microplastic extraction is performed, the morphology of seafloor microplastics is restored and streamlined identification of full-size microplastics is considered, carbon-14 dating is used to trace the duration of microplastic adsorption by each individual bivalve, dynamic accumulation curves for seafloor bivalves are constructed by connecting each bivalve's survival duration, and finally this is scaled up to the entire bivalve bed to derive the microplastic accumulation rate and historical accumulation of the entire extreme ecosystem.

Systems and methods are provided for comprehensive in vivo nanotoxicity testing, as well as fabrication methods of chips used for nanotoxicity testing. A three-dimensional (3D)-printed, automated microfluidic chip can be configured for in vivo nanotoxicity testing, and the chip can allow for multi-route (e.g., waterborne and / or foodborne) exposure of marine organisms to small materials (e.g., plastics such as microplastics and / or nanoplastics (NPLs), or metals), providing real-time, in situ monitoring of bioaccumulation and oxygen consumption.

The invention provides a new pollutant classification prediction method and a related device, and relates to the technical field of new pollutant classification. Comprising the following steps: collecting chemical information (molecular structure, molecular fingerprint and physicochemical property) of a target pollutant and carrying out standardization treatment; preliminary classification is calculated based on Tanimoto similarity; simulating a migration path and a conversion behavior of the pollutants in the environment by using a graph neural network; multi-mechanism comprehensive evaluation is carried out by comprehensively considering durability, mobility and biological accumulation; introducing an environmental factor correction model, and correcting scores according to parameters such as temperature, pH value and dissolved oxygen concentration; integrating the molecular structure, the migration path, the mechanism characteristics and the environment correction result, and calculating a final classification prediction value; and dividing risk levels (high, medium and low risks) according to predicted values. Pollutant risks are comprehensively assessed through a machine learning technology, the assessment precision and reliability are improved, and a scientific basis is provided for pollution prevention and control.

The invention belongs to the technical field of natural active substance extraction, and particularly relates to a bitter gourd seed oil alpha-eleostearic acid efficient biological enrichment method and application of bitter gourd seed oil. According to the efficient biological enrichment method for alpha-eleostearic acid in bitter gourd seed oil, a superfine grinding and microwave extraction technology is innovatively adopted, the extraction process of bitter gourd seed oil is systematically optimized, and the optimal treatment conditions are determined as follows: the microwave power is 800W, the superfine grinding time is 20min, the microwave temperature is 50 DEG C and the microwave time is 20min; under the treatment, the bitter gourd seed oil is improved by 1.287 times compared with a conventional extraction mode. The balsam pear seed oil prepared by adopting the balsam pear seed oil alpha-eleostearic acid efficient biological enrichment method provided by the invention has better oxidation resistance and antibacterial effect. The method not only provides a theoretical basis for efficient and green extraction of bitter gourd seed oil, but also provides a technical reference for resource utilization of other high-oil byproducts.

Systems and methods are provided for comprehensive in vivo nanotoxicity testing, as well as fabrication methods of chips used for nanotoxicity testing. A three-dimensional (3D)-printed, automated microfluidic chip can be configured for in vivo nanotoxicity testing, and the chip can allow for multi-route (e.g., waterborne and / or foodborne) exposure of marine organisms to small materials (e.g., plastics such as microplastics and / or nanoplastics (NPLs), or metals), providing real-time, in situ monitoring of bioaccumulation and oxygen consumption.

A microbial platform for rare earth element bioaccumulation comprises a bacterial culture, a medium comprising methanol, inorganic phosphate, and a swarf pulp, wherein the platform is selective for bioaccumulation of a rare earth element.

Disclosed are methods for remediating soil having persistent and bioaccumulative contaminants, and more particularly, methods for remediating soil having perfluoro and polyfluoroalkyl substances (PFAS) and other halogen-containing contaminants by rapid electrothermal mineralization.

The invention discloses application of glucoraphanin to preparation of a product for reducing biological accumulation of perfluorooctane sulfonate, and belongs to the technical field of biological medicine. The occurrence probability of the high PFOS level in the body of a participant frequently eating broccoli is confirmed to be remarkably reduced through population epidemiological experiments, and then the PFOS level in the body of the participant is confirmed to be remarkably reduced after glucoraphanin intervention through clinical RCT random control experiments. The glucoraphanin-intervened serum has the advantages that the glucoraphanin-intervened serum is used as a main body, the metabolic change of steroid, ceramide and bile acid in the glucoraphanin-intervened serum is confirmed to be closely related to the reduction of the PFOS level through lipidomics analysis, and finally, the glucoraphanin is confirmed to be capable of effectively reducing the PFOS in-vivo accumulation and improving the liver injury caused by the PFOS through animal experiments and an AI reverse targeting technology; and the glucoraphanin and the in-vivo metabolite sulforaphane thereof have relatively strong binding capacity with a liver-specific PXR receptor, so that a good technical foundation is laid for research and development of drugs for treating diseases related to PFOS accumulation.

Environmentally friendly corrosion-inhibiting compositions and methods of use thereof for corrosion inhibition of metal surfaces used in oil and gas operations are disclosed. Corrosion-inhibiting compositions include derivatized succinate corrosion inhibitors that beneficially avert bioaccumulation according to certain regulations and provides suitable biodegradability.

A biotoxicity prediction method based on SMOTE small sample machine learning can deal with the problem of insufficient natural experimental data, is proved to be capable of solving complex environmental problems, and comprises the steps of generating virtual data based on a synthetic minority class oversampling technology SMOTE to supplement sample data and maintain sample balance to meet the machine learning requirement; the method comprises the following steps: collecting natural water experimental data to obtain data related to metal toxicity prediction: water chemical condition data, nano-metal data and biological accumulation data; the data preprocessing is used for converting the data into a form suitable for being input into a machine learning model so as to improve the precision and efficiency of a fitting model; constructing a small sample machine learning model generated based on the virtual sample; model verification and feature importance analysis are carried out, the model verification comprises internal and external verification on the model so as to correctly evaluate the robustness and predictive ability of the model, and the feature importance analysis comprises feature importance sorting by adopting two standards of mean square error (MSE) increase and node purity increase.

The present invention provides a method for calculating the reasonable aquaculture density of aquaculture water bodies, which relates to the technical field of aquaculture. The method comprises the following steps: constructing a bioaccumulation model of aquaculture objects in a limited space, conducting a density gradient aquaculture test, obtaining biomass accumulation parameters of the test group, and solving the limit yield k of each density gradient test group. i , solve the aquaculture capacity of the target aquaculture water body and find the approximate solution K m , calculating the appropriate stocking density N. The beneficial effects of the present invention are as follows: This method obtains actual aquaculture data of biomass accumulation parameters for the experimental group through density gradient aquaculture experiments, and calculates an approximate solution for aquaculture capacity based on the constructed model and aquaculture data. The obtained approximate solution is then verified, ultimately providing a basis for calculating the appropriate stocking density. This calculation method combines theoretical calculations with actual aquaculture experiments to quickly and efficiently determine the appropriate stocking density for intensive aquaculture water bodies, with reliable results and strong guidance for aquaculture production.

Provided are Citrobacter freundii and the use thereof. The Citrobacter freundii has a high cadmium tolerance and the function of enhancing selenium bioavailability. The strain is classified as and named Citrobacter freundii DS, which has been deposited in the CCTCC on 26 May 2022. The strain has a high tolerance to the heavy metal cadmium. The strain can still grow under the conditions of a Cd2+ concentration of 6 mM, reaching the maximum biomass at 40 h. By means of applying the strain to cadmium-contaminated soil, the proportion of exchangeable cadmium and the content of available cadmium in the soil can be significantly decreased, while significantly increasing the content of soluble selenium and available selenium in the soil. By means of performing a rice pot experiment, the cadmium bioaccumulation factor in various parts of rice is further reduced, while increasing the selenium bioaccumulation factor and translocation factor. The strain has significant effects in the applications of remediating cadmium-contaminated soil, enhancing the bioavailability of selenium and promoting crop growth.

This application relates to the technical field of environmental monitoring and data analysis, and particularly to a screening method for priority-controlled OPEs based on surface water concentration data. According to the organophosphate ester flame retardants (OPEs) exposure database, the monitoring data of each OPE compound within a specified time period is obtained. For each OPE compound, based on the monitoring data, the quantitative data of environmental persistence, bioaccumulation, and toxicity effects are respectively obtained, and the exposure potential index and hazard potential index are obtained through principal component analysis; the exposure potential index and hazard potential index are processed to obtain the priority control index; based on the priority control index, sorting is carried out to screen OPE compounds that meet the preset conditions, and the screening results are determined as the priority control targets. This application can simultaneously identify key pollutants with high exposure risks and high hazard risks, reveal the main risk drivers of different OPEs, and effectively support the screening and priority control decision-making of emerging pollutants.

The present invention relates to the fields of environmental engineering, agricultural chemistry, or microbiology, and provides a nitrification inhibitor and its use. The nitrification inhibitor is N-ethylpiperazine, which can inhibit the growth of AOB and thus nitrification at a relatively low dose (10 mg / L or 0.1 g / kg). Furthermore, its Material Safety Data Sheet (SDS) does not report its ecotoxicity or potential bioaccumulation, demonstrating its environmental friendliness and its application in water treatment and soil to inhibit nitrification.

The invention discloses a penetration-controllable fabric finishing method, and relates to the technical field of fabric treatment. The fabric finishing method comprises the steps of plasma pretreatment, short-chain fluorocarbon finishing liquid preparation, fabric dipping and finishing, drying and curing treatment and performance detection and optimization. Fluorine-containing acrylate C6 is adopted as the short-chain fluorocarbon finishing agent; the emulsifier is lauryl sodium sulfate or fatty alcohol-polyoxyethylene ether; and the stabilizer is polyethylene glycol or a silane coupling agent 550. According to the method disclosed by the invention, the woven fabric is subjected to surface modification by utilizing the characteristics of low biological accumulation and environmental protection of short-chain fluorocarbon, namely fluorine-containing acrylate C6, and combining a plasma technology; through plasma activation treatment, short-chain fluorocarbon can be stably grafted on the fiber surface and self-agglutinated to form a film, and a fluorine-containing chemical layer and a micro-nano coarse structure are synchronously constructed, so that the surface tension of the fabric is regulated and controlled, the functions of water and oil repellency and the like are realized, and meanwhile, the hand feeling, moisture permeability and air permeability of the fabric are kept.

An object is to provide a lubricant oil composition excellent in biodegradability, lubricating property (extreme pressure property), stability against oxidation and demulsibility, having low toxicity and bioaccumulation property in an aquatic life, and excellent in stability against shearing even in the presence of water.A lubricant oil composition comprises 100 mass parts of the following ester compound (A), 0.1 to 1.5 mass parts of the following amine salt (B) of an acidic phosphoric acid ester, 0.3 to 2.0 mass parts of an amine-based oxidation preventing agent (C), and 0.3 to 2.0 mass parts of a phenol-based oxidation preventing agent (D),(A) the ester compound comprising a molar percentage of 20 to 30 mol % of a constituent component (a) derived from pentaerythritol, a molar percentage of 55 to 79 mol % of a constituent component (b) derived from a straight-chain fatty acid having a carbon number of 14 to 22, and a molar percentage of 1 to 15 mol % of a constituent component (c) derived from adipic acid, wherein a ratio [(c) mol % / (b) mol %] of the molar percentage of the constituent component (b) with respect to the molar percentage of the constituent component (c) is 0.02 to 0.25 and wherein the ester compound has a hydroxyl value of 10 to 100 mgKOH / g,(B) the amine salt of an acidic phosphoric acid ester represented by the following formula (1),(in the formula (1), n represents an integer of 1 or 2, R′ represents a straight-chain alkyl group having a carbon number of 4 to 6, and R″ represents hydrogen or an alkyl group having a carbon number of 11 to 14.).

The invention discloses a lake water environment optimal control pollutant identification method, and belongs to the field of environmental analysis, ecotoxicology and water environment risk assess.The method comprises the steps that lake deposition column samples are collected for high-resolution mass spectrum non-targeted analysis to establish a pollutant time sequence database; the substances with the occurrence abundance in the continuous increasing trend are screened through time sequence trend statistical analysis; integrating environment durability, mobility, biological accumulation potential and biological toxicity multi-dimensional risk indexes, performing risk weighting calculation through a toxicity priority index model, and outputting risk index sorting in combination with relative abundance; chemical structure identification is performed on the high-risk substances to determine a priority control pollutant list. According to the method, the risk-driven identification of unknown, historically accumulated and composite high-risk pollutants in the lake water environment is realized, and a key technical means is provided for the construction of a regional new pollutant list.

The present invention discloses a method and device for identifying halogenated emerging pollutants based on machine learning, including: Step S1: Obtain the original high-resolution mass spectrometry data of the sample to be tested, and extract the characteristic information in the original high-resolution mass spectrometry data; Step S2: Use the characteristic halogen-containing prediction model to predict the presence of halogen in the characteristics according to the extracted characteristic information, and perform characteristic filtering; Step S3: Based on the accurate mass and tandem mass spectrometry information, perform compound identification and retrospective detection on the filtered characteristics; Step S4: Use the compound property prediction model to predict the persistence, bioaccumulation and toxicity properties of the identified compounds. The present invention realizes the screening of halogen-containing characteristics and compound identification in mass spectrometry data, evaluates the environmental risk of the compounds represented by the characteristics, and further performs retrospective detection on the characteristics in historical mass spectrometry data.

Environmentally friendly corrosion-inhibiting compositions and methods of use thereof for corrosion inhibition of metal surfaces used in oil and gas operations are disclosed. Corrosion-inhibiting compositions include derivatized succinate corrosion inhibitors that beneficially avert bioaccumulation according to certain regulations and provides suitable biodegradability.

This invention discloses a chromium (VI)-resistant Enterococcus faecium, its isolation method, and its applications in the field of microbial technology. This chromium (VI)-resistant Enterococcus faecium, classified and named Enterococcus faecium, was deposited on October 24, 2025, at the China General Microbiological Culture Collection Center (CGMCC), with accession number CGMCC NO.36330. The chromium (VI)-resistant Enterococcus faecium isolated by this invention can survive in high-concentration chromium (VI) environments and has a strong adsorption effect on hexavalent chromium, reducing the residue and bioaccumulation of hexavalent chromium in feed, thereby mitigating its toxicity to poultry.

The present invention discloses a method for improving the thermal stability and acid degradation performance of an ochratoxin A degrading enzyme, belonging to the field of enzyme engineering. The present invention obtains an ochratoxin A degrading enzyme mutant with improved thermal stability and acid degradation performance by subjecting the wild-type ochratoxin A degrading enzyme with the amino acid sequence shown in SEQ ID NO. 1 to a combined mutation of Q113P / S210M / A235Y / G372R. The mutant exhibits significantly improved enzymatic activity under gastric conditions (37°C, pH 4.2) relative to the wild-type ochratoxin A degrading enzyme. The mutant can be used to prepare a food additive or feed additive to reduce the bioaccumulation efficiency of ochratoxin A.

This invention discloses a total phenolic amine from bee pollen, its preparation method, and its application in alleviating zearalenone (ZEA) toxicity, belonging to the field of agricultural technology. The total phenolic amines extracted from bee pollen by this invention can reduce the bioaccumulation of ZEA and alleviate organ pathological damage; it can inhibit lipid peroxidation by activating the Nrf2 / GPX4 signaling pathway, upregulate BTB core protein, and restore the integrity of the barrier function; furthermore, TPP can regulate sex hormone balance, reverse the ZEA-induced decrease in testosterone levels and abnormal increase in estradiol, thereby comprehensively alleviating the toxic effects of ZEA.

This invention discloses a four-dimensional Raman monitoring system and dynamic quantitative method for environmental microplastics in vivo, belonging to the field of environmental ecological monitoring and analysis technology. The system includes a confocal spectroscopy acquisition module, a controller, and a data processing module. It acquires the three-dimensional coordinates of live samples through coordinated spatial scanning and simultaneously acquires Raman signals to construct four-dimensional spectral data. A multidimensional convolutional instance segmentation network is used to process the four-dimensional Raman spectral data, identifying and classifying endogenous biological matrices and exogenous multi-mixed microplastics in vivo, outputting voxel-level semantic classification results, and then quantitatively calculating the absolute retention volume and abundance of microplastics in the organism. This invention overcomes the shortcomings of existing technologies in label-free quantification under complex biological backgrounds, achieving in-situ accurate identification of mixed microplastics in vivo, and providing a standardized quantitative monitoring method for assessing the bioaccumulation, metabolic patterns, and ecotoxicological effects of environmental microplastics.

This invention relates to a miniature flexible temperature sensor for use in living organisms, its fabrication method, and its applications. The miniature flexible temperature sensor comprises a thermosensitive conductive layer polymerized in situ from acrylamide, glycerol, choline chloride, and lipoic acid, and a flexible encapsulation layer made of a flexible biocompatible material. The fabrication method includes mixing acrylamide, glycerol, and choline chloride to obtain a deep eutectic solvent; adding lipoic acid to the deep eutectic solvent to obtain a homogeneous solution; injecting the homogeneous solution into a mold made of the flexible biocompatible material to obtain a material to be cured; and subjecting the material to be cured to ultraviolet light curing to obtain the miniature flexible temperature sensor. Its advantages include good biocompatibility, reducing the potential bioaccumulation risk of traditional conductive polymers or nanomaterials; high sensitivity, good repeatability, linearity, and resolution; a thermosensitive layer thickness of 1–2 mm, suitable for non-invasive monitoring on the body surface and multi-point temperature detection in confined biological spaces; and a simple fabrication method with no leakage risk.

The present invention discloses a method for evaluating the biological enrichment effect of marine pollutants based on consecutive trophic levels, belonging to the technical field of marine pollution monitoring. The method of the present invention is to collect marine biological samples from the target sea area to be measured, and detect the nitrogen stable isotope ratio δ<supgt;15< / supgt;N and the concentration of pollutants in the samples; calculate the trophic level characteristic value, the trophic magnification factor and the target risk coefficient, which are used to evaluate the distribution trend of marine pollutants on consecutive trophic levels of the food chain, whether the pollutants are enriched and amplified or gradually diluted on consecutive trophic levels of the food chain, and the health risk of the pollutant content to humans. Compared with the traditional species-based pollutant concentration and risk assessment, the method of the present invention can avoid the underestimation of the risk after the higher trophic level individuals with higher pollutant concentrations in a single species are averaged, and can more accurately reflect the enrichment and accumulation effects of pollutants on the food chain.

The invention relates to a flame retardant chemical export trade dynamic early warning system based on environmental exposure and health toxicological harmfulness. The system comprises a data acquisition module, a data preprocessing module, a QSAR prediction module, a database management module, a regulation supervision matching module, an early warning list generation module, a priority management and control directory compiling module and a user interaction module. Four types of QSAR prediction models (R is greater than or equal to 0.85 and Q is greater than or equal to 0.70) of physical and chemical safety, toxicity, degradability and bioaccumulation are constructed, more than 15 kinds of hazard data of more than 1000 kinds of flame retardants are integrated, trade supervision laws and regulations of more than 30 countries / regions in the world are matched, a dynamic early warning list updated each month is generated, and a priority control material list is compiled based on a comprehensive scoring algorithm. According to the method, the problem of export limitation caused by lack of flame retardant environmental hazard data and foreign green technical barriers is solved, and risk early warning and accurate management and control of flame retardant export trade are realized.

This invention belongs to the field of environmental and human health technology, and discloses a PM... 2.5 An alveolar microresponsive system carrying insoluble particles and a model for evaluating its relative bioefficacy. This alveolar microresponsive system establishes an alveolar microresponsive system by carrying insoluble PM... 2.5 A model for the bioaccumulation and relative bioavailability of -M, derived from lung surfactant extraction and PM2.5. 2.5 The process of incubating and extracting adsorbed substances from M, screening adsorbent layer lipids and proteomes, and assembling microreaction system models revealed the properties of water-insoluble PM. 2.5 The accumulation and absorption characteristics of PM2.5 particles in the alveoli; lipidomics and proteomics analyses clarified the composition of insoluble PM2.5 particles in the alveoli. 2.5 A degradation and transformation microreaction system consisting of -M and alveolar fluid was constructed, and a non-water-soluble PM2.5 was first constructed based on the microreaction system. 2.5 - Model for calculating alveolar turnover rate after M respiratory exposure and the amount of water-insoluble PM in alveoli 2.5 -M bioefficacy assessment model.

The invention relates to the technical field of environmental science and new pollutant assessment, and discloses a PBT new pollutant hazard screening method based on plant cumulative metabolism characteristics, which comprises the following steps: obtaining the persistence characteristics, the biological cumulative characteristics and the toxicity characteristics of new pollutants; determining an initial comprehensive hazard score of the new pollutant based on the persistence feature, the biological accumulation feature and the toxicity feature, and correcting the initial comprehensive hazard score by using a dynamic environment correction factor to obtain a comprehensive hazard score of the new pollutant; and constructing a PBT risk collaborative screening model of the new pollutants, optimizing the comprehensive hazard score of the new pollutants by using the PBT risk collaborative screening model, and determining the environmental hazard grade of the new pollutants according to the optimized comprehensive hazard score. According to the method, accurate identification and screening of high-risk new pollutants can be realized, the environmental risk and health risk of chemicals can be evaluated more comprehensively, and the method has important practical significance for maintaining environmental safety and people health.