58 results about "Perturbateurs endocriniens" patented technology

The invention discloses an endocrine disrupter prediction method based on a harmful outcome path network, and belongs to the field of endocrine, and the method comprises the steps: obtaining experimental activity data containing qualitative data and quantitative data according to a pre-constructed harmful outcome path network; acquiring endocrine disrupter list data as a second data set; constructing a target spot qualitative prediction model according to the qualitative data; performing target activity data prediction on the second data set by using a target qualitative prediction model to obtain a target activity data set; constructing an endocrine disruption effect qualitative prediction model by using the target activity data set; constructing a target spot quantitative prediction model according to the quantitative data; predicting whether the compound to be detected has the endocrine disruption effect or not by utilizing the endocrine disruption effect qualitative prediction model; and for the compound with the endocrine interference effect, predicting the corresponding target quantitative activity by using the target quantitative prediction model to obtain a quantitative harmful outcome path. According to the method, the endocrine disrupter EDCs is qualitatively identified and quantitatively classified.

The invention discloses an endocrine disruption effect harmful outcome path network construction method, and relates to the field of endocrine disrupter screening, and the method comprises the steps: obtaining endocrine data; preprocessing the acquired endocrine data; according to the preprocessed endocrine data, constructing an event causal relationship triad reflecting the endocrine disruption effect, wherein the event causal relationship triad comprises a trigger word, a source event and a target event; the data KER1 is used as data KER1; according to the preprocessed endocrine data, acquiring endocrine data of which the confidence coefficient is greater than a preset threshold value from a preset literature database, and taking the acquired endocrine data as data KER2; performing duplicate removal processing on the data KER1 and the data KER2 to obtain final endocrine disruption effect harmful outcome path data; and establishing an endocrine disruption effect harmful outcome path network according to the final endocrine disruption effect harmful outcome path data. In view of insufficient analysis of an action mechanism between an endocrine disrupter and a corresponding bad health outcome in the prior art, the application improves interpretability.

The invention discloses an endocrine disrupter quantitative activity prediction method, and relates to the field of endocrine disrupter virtual screening, and the method comprises the following steps: obtaining nuclear receptor in vitro experiment data, removing repeated data in the experiment data, and removing a compound set which does not contain simplified molecular linear input specification SMILES expression; a molecular fingerprint method is adopted to extract first-level, second-level and third-level feature structures of the compound. For each compound cluster, constructing a quantitative prediction model based on machine learning or quantitative read-stress for predicting the quantitative activity value of the compound; aiming at the low quantitative activity prediction efficiency of the endocrine disrupter in the prior art, multilevel structure characteristics of compounds are extracted, and corresponding quantitative prediction models are constructed for compound structure clusters of different scales. Through molecular docking and molecular dynamics simulation, the interaction mechanism and the like of the endocrine disrupter and the nuclear receptor are researched from the perspective of structural biology, and the efficiency is improved.

The invention discloses a trace analysis method and device for three phenolic endocrine disruptors in surface water. The method comprises the following steps: filtering collected surface water by adopting a glass fiber filter membrane to obtain an initial sample; activating, loading, leaching, drying and eluting the initial sample through a solid phase extraction (SPE) process to obtain a to-be-detected sample solution; detecting the three phenolic endocrine disrupters EDCs in the sample solution to be detected by using an ultra-high performance liquid chromatography tandem mass spectrometer UHPLC-MS / MS and a gas chromatography mass spectrometer GC-MS, and quantifying by using an external standard method. The technical problem that various phenol EDCs cannot be analyzed at the same time in the prior art is solved.

The present invention discloses a method for synchronously extracting and detecting 59 endocrine disruptors in amniotic fluid, belonging to the technical field of substance detection. The method includes the following steps: S1, adding β-glucuronidase to the amniotic fluid sample and incubating; S2, adding a stable isotope-labeled internal standard to the amniotic fluid sample to be detected in step S1; S3, adding the amniotic fluid sample to be detected in step S2 to an activated HLB extraction column to remove impurities and extract the target analyte; S4, eluting the extraction column to obtain an eluate, blowing it to near dryness, and adding a reconstitution solvent to obtain a sample to be detected; S5, using a liquid chromatography-mass spectrometry instrument to detect the sample to be detected obtained in step S4 to complete the detection and analysis of endocrine disruptors. The detection process is carried out simultaneously in positive ion mode and negative ion mode. This method realizes the synchronous extraction, detection and analysis of at least 59 typical environmental endocrine disruptors in amniotic fluid, which is simple and convenient, and solves the problems of large sample consumption and long time consumption.

The invention discloses a fractionation method of an endocrine disrupter in an environmental water body, and belongs to the technical field of water body pollutant analysis. The fractionation method of the endocrine disrupter in the environmental water body comprises the following steps: S1, enriching and concentrating a water sample to obtain a to-be-fractionated liquid; s2, fractionating the to-be-fractionated liquid by adopting an analytical liquid chromatography system and a C18 semi-preparative chromatographic column to obtain fractions. According to the method, high-resolution synchronous fractionation of the endocrine disrupter in a wide polarity range (Log Kw:-0.19-6.62) is realized, the defects of low fractionation efficiency and high solvent consumption of the traditional semi-preparative liquid chromatography are effectively overcome by optimizing a gradient program of an analytical liquid chromatography system, the time and economic cost are saved, and the method is suitable for industrial production. And the fraction can be directly compatible with biological activity test after salting-out-extraction treatment.

The invention discloses a non-targeted analysis method for identifying phthalic ester endocrine disruptors in underground water based on high-resolution mass spectrum high-throughput screening. The method comprises the following steps: collecting an underground water sample; the method comprises the following steps: pre-treating a collected underground water sample to obtain a to-be-analyzed and detected sample; and carrying out phthalate analysis and detection on a sample to be analyzed and detected by using high performance liquid chromatography-tandem mass spectrometry. The invention relates to a non-targeted analysis method for high-throughput screening and identification of phthalic ester endocrine disruptors in underground water based on high-resolution mass spectrum characteristic fragment search, which is full-flow identification from sampling to analysis and identification provided for phthalic ester pollutants in an underground water environment for the first time. On the basis of solid-phase extraction and liquid chromatography-tandem high-resolution mass spectrometry technologies, the problem of cross contamination in the pretreatment and detection process can be reduced, and the accuracy rate is high.

The application discloses a preparation method of trace 10-component phenolic endocrine disruptor solution standard substance, which comprises the following steps: accurately weighing 10 kinds of high-purity phenolic compounds with accurate values, and dissolving the phenolic compounds in a mass spectrometry grade methanol solvent in a nitrogen atmosphere operation box to obtain a dissolved phenolic standard; filling nitrogen into a volumetric flask, pouring the dissolved phenolic standard into the volumetric flask, and dissolving and constant volume of the dissolved phenolic standard in a constant-temperature tank at 20.0 DEG C + / - 0.5 DEG C for 20 min, and then using the mass spectrometry grade methanol solvent to dissolve and constant volume to obtain a constant-volume phenolic solution; gradually diluting the constant-volume phenolic solution to 1 ug / L by using the mass spectrometry grade methanol solvent to obtain a diluted phenolic solution; pre-filling argon into a brown glass ampoule in a nitrogen atmosphere operation box, and then pouring the diluted phenolic solution into the brown glass ampoule, filling argon above the ampoule containing the solution, and fusion sealing the ampoule for refrigeration preservation.

The invention provides a bisphenol A induced rat benign prostatic hyperplasia model and a construction method, and relates to the technical field of animal models. The method comprises the following steps: S1, selecting rats which are 8-9 months old and 9-10 weeks old, and adaptively feeding the rats in a suitable environment for 7 days or more; s2, jointly applying high-fat feed and bisphenol A to the adaptively fed rats to induce benign prostatic hyperplasia; the induction time is 60-80 days, and performing biological index evaluation after the induction is completed. The exposure level of low-dose BPA adopted by the invention is closer to the actual environment exposure level of people, and a main exposure way is simulated through oral gavage. The model constructed by the method can better simulate the real process of chronic and low-dose exposure pathopoiesis of the environmental endocrine disrupter in etiology, and provides an experimental tool with more practical significance for related risk evaluation.

The utility model discloses an environmental endocrine disrupter content detection device which comprises a base, a stand column is arranged on the top face of the base, a supporting plate is fixedly arranged at the end, away from the base, of the stand column, and the environmental endocrine disrupter content detection device further comprises a detection mechanism and a control mechanism, a plurality of positioning cylinders are arranged on the top surface of the positioning plate, and detection cylinders for detecting environmental endocrine disruptors of liquid medicines with different contents are placed in the positioning cylinders; the temporary storage mechanism is fixedly arranged above the supporting plate, the temporary storage mechanism comprises a temporary storage box for storing an environmental endocrine disrupter solution, one side of the temporary storage box fixedly communicates with a connecting hose, the end, away from the temporary storage box, of the connecting hose fixedly communicates with a hollow cylinder, and a liquid dropping head is integrally arranged at the liquid outlet end of the hollow cylinder. The environmental endocrine disrupter content detection device is convenient for detecting the environmental endocrine disrupter content, and is accurate in detection result and high in working efficiency.

This application discloses a method for predicting the quantitative activity of endocrine disruptors, relating to the field of virtual screening of endocrine disruptors. The method includes: acquiring in vitro experimental data of nuclear receptors and removing duplicate data, as well as removing compound sets that do not contain the simplified molecular linear input canonical (SMILES) representation; using a molecular fingerprinting method to extract the primary, secondary, and tertiary structural features of the compounds. For each compound cluster, a quantitative prediction model based on machine learning or quantitative read-across is constructed to predict the quantitative activity value of the compound. Addressing the low efficiency of existing methods for predicting the quantitative activity of endocrine disruptors, this application extracts multi-level structural features of the compounds and constructs corresponding quantitative prediction models for compound structural clusters of different sizes. Through molecular docking and molecular dynamics simulations, the interaction mechanism between endocrine disruptors and nuclear receptors is studied from a structural biology perspective, thus improving efficiency.

The application discloses a method for predicting endocrine disruptors based on a harmful outcome path network, and belongs to the endocrine field, and comprises the following steps: acquiring experimental activity data containing qualitative data and quantitative data according to a pre-constructed harmful outcome path network; acquiring endocrine disruptor list data as a second data set; constructing a target qualitative prediction model according to the qualitative data; predicting target activity data of the second data set by using the target qualitative prediction model to obtain a target activity data set; constructing an endocrine disruptor effect qualitative prediction model by using the target activity data set; constructing a target quantitative prediction model according to the quantitative data; predicting whether a to-be-tested compound has an endocrine disruptor effect by using the endocrine disruptor effect qualitative prediction model; and predicting the corresponding target quantitative activity of the compound with the endocrine disruptor effect by using the target quantitative prediction model to obtain a quantitative harmful outcome path. The application realizes qualitative identification and quantitative classification of endocrine disruptors EDCs.

This application discloses a method, apparatus, medium, and device for identifying endocrine disruptors based on graph neural networks, relating to the field of biocommunication technology. Its main objective is to address the problem of low identification efficiency in existing endocrine disruptor technologies. The method includes: acquiring secondary mass spectrometry data of the organ to be tested; constructing a graph structure representation of the secondary mass spectrometry data, and predicting the graph structure representation based on a pre-trained disruptor prediction model to obtain predicted disruptor values. The disruptor prediction model is constructed based on a graph neural network, and the training sample dataset for the disruptor prediction model includes corresponding graph structure samples generated based on secondary mass spectrometry samples and interference effect information; generating an endocrine disruptor identification result based on a comparison between the predicted disruptor values ​​and a classification threshold, wherein the classification threshold is obtained based on classification evaluation indicators.

The invention relates to the technical field of hydrogel preparations, and discloses a hydrogel preparation, a preparation method and application in repairing sperm injury. The method comprises the following steps: step 1, constructing recombinant plasmids; step 2, plasmid transformation; step 3, protein purification; step 4, preparing the SKAP2 protein wrapped by the mEXOs; step 5, preparing an SKAP2 hydrogel preparation; according to the invention, the SKAP2 protein is expressed through prokaryotic escherichia coli, the milk exosome is extracted, then the SKAP2 protein is wrapped in the milk exosome, and then the exosome containing the SKAP2 protein is fused into the hydrogel preparation, so that the sperm motility of a mouse with asthenospermia can be remarkably improved in a skin smearing manner; comprising the effect of improving sperm motility decline of asthenospermia caused by heavy metal lead, organic endocrine disrupter phthalate and high temperature and aging, and the problem that no effective repairing preparation for asthenospermia exists in the prior art is solved.

The invention relates to a hydrothermal carbon-based composite material for adsorbing bisphenol A endocrine disruptors as well as a preparation method and application of the hydrothermal carbon-based composite material. Comprising the following steps: mixing rice husk hydrothermal carbon and mesoporous silica foam according to a mass ratio of 1: (1-5) to obtain a composite carrier; the preparation method comprises the following steps: dissolving polyethyleneimine in a solvent according to a mass ratio of 1: (0.4-0.6), uniformly stirring to obtain an impregnation liquid, impregnating a composite carrier in the impregnation liquid, stirring, and evaporating the solvent to obtain a composite adsorbent; the preparation method of the hydrothermal carbon-based composite material for adsorbing the bisphenol A endocrine disrupter solves the problems that in the prior art, the specific surface area of single hydrothermal carbon is generally limited, the pore structure development is incomplete, and the adsorption capacity and the mass transfer rate of the single hydrothermal carbon are limited.

The application relates to the technical field of hydrogel preparations, and discloses a hydrogel preparation, a preparation method and application in repairing sperm damage. The method comprises the following steps: step one, constructing a recombinant plasmid; step two, plasmid transformation; step three, protein purification; step four, preparing mEXOs wrapped SKAP2 proteins; and step five, preparing a SKAP2 hydrogel preparation. In the application, SKAP2 proteins are expressed by means of a prokaryote Escherichia coli, milk exosomes are extracted, the SKAP2 proteins are then wrapped into the milk exosomes, and the exosomes containing the SKAP2 proteins are then fused into a hydrogel preparation. The sperm activity of asthenospermia mice can be significantly improved through skin smearing, including improving the sperm activity reduction effect of asthenospermia caused by heavy metal lead, organic endocrine disruptors phthalate, high temperature and aging, and the problem that there is no effective repair preparation for asthenospermia in the prior art is solved.

The invention provides a method and a device for predicting the concentration of an environmental endocrine disrupter in a fish body. The method comprises the following steps: dividing fish into a plurality of compartments by using an initial physiological toxicokinetic model, and determining a mass balance differential equation of the environmental endocrine disrupter in each compartment; optimizing a plurality of model parameters, and correcting the exchange coefficient of the gill chemical flux; nesting the temperature prediction equation and the growth equation into the model to obtain a first physiological toxicokinetic model; according to the mass balance differential equation of each compartment, the species-specific physiological parameters, the compound-specific physicochemical parameters, the toxicokinetic parameters, the multiple optimized model parameters and the corrected exchange coefficient of the gill chemical flux, the model is optimized, and a second physiological toxicokinetic model is obtained; the concentration of the environmental endocrine disrupter in the fish body is predicted. The method provided by the invention improves the accuracy of concentration prediction, and further accurately evaluates the toxic effect of the target site concentration of the environmental endocrine disrupter on fish.

The invention discloses an endocrine disrupter identification method and system, and the method comprises the steps: carrying out the multi-dimensional feature extraction of a to-be-identified target compound, and obtaining the features of the target compound; respectively inputting the target compound characteristics into an activity prediction model corresponding to each prediction end point type to obtain an activity probability prediction result corresponding to each prediction end point; generating a recognition result of the target compound corresponding to each activity probability prediction result; according to the endocrine disrupter identification method, the identification efficiency of the endocrine disrupter is greatly improved.

The invention provides a detection method for simultaneously detecting multiple endocrine disrupters, which comprises the following steps: grinding tissue, homogenizing, adding an internal standard, extracting with three solvents: dichloromethane and methyl tert-butyl ether, an ethyl acetate-normal hexane mixed solution, acetonitrile and sodium chloride, combining and collecting the solutions to obtain a comprehensive extracting solution, concentrating and dissolving, degreasing, and drying to obtain the endocrine disrupters. Finally, a liquid chromatograph-mass spectrometer is used for detection, and efficient extraction and accurate analysis of the multiple endocrine disruptors in the tissue are achieved. According to the detection method, multiple organic solvents with different properties are adopted for extraction, detection of multiple endocrine disrupters can be synchronously achieved, the concentration level of the endocrine disrupters in the tissue sample can be directly measured, freeze drying treatment is not needed, operation is easy, and sensitivity and recovery rate are high.

The invention discloses a method for detecting steroid endocrine disruptors based on GC-MS / MS. The method comprises the following steps: carrying out derivatization treatment on a sample to be detected by using a derivatization reagent, diluting a derivatization product by using pyridine to achieve a constant volume, and carrying out detection analysis on the derivatization product by using a gas chromatography-mass spectrometry / mass spectrometry instrument, in the detection, derivatization groups are used as daughter ions to carry out quantitative analysis on different steroid derivatization products; the detection limit and the precision of the detection method are equivalent to those of an LC-MS / MS method, but the instrument cost is far lower than that of the LC-MS / MS method, the detection method has higher universality and can meet the detection requirements of most laboratories, the detection limit of steroid substances in a liquid sample is 1.80-2.69 ng / L, the detection limit of steroid substances in a solid sample is 0.174-0.282 ng / g, the precision is 1.05-3.67%, and the detection limit of the steroid substances in the liquid sample is 1.80-2.69 ng / L; the method is safer, more environmentally friendly, high in stability and good in detection accuracy.

The invention relates to the field of microorganisms, and discloses a method for improving the stress tolerance of microalgae endocrine disruptors by utilizing phycobacterium, which comprises the following steps: co-culturing phycobacterium and microalgae; the endocrine disrupter is nonyl phenol; the phycobacterium is rosette-shaped rhizobium and / or brevundimonas vesicula. According to the invention, the effect of improving the stress tolerance of the endocrine disrupter (nonyl phenol) of the microalgae by part of interalgal bacteria of the microalgae is found for the first time. By co-culturing the algae and the microalgae, the survival and growth capabilities of the microalgae under the stress of nonyl phenol can be effectively improved, so that the tolerance and removal capability of the microalgae to high-concentration endocrine disrupter polluted wastewater are expected to be improved in an algae-bacteria co-culture manner.

The present application relates to wastewater treatment technical field, specifically to a kind of method for improving endocrine disruptor removal in wastewater by strengthening intermediate species adsorption, it includes the following steps: providing Ce-Co3S 4‑x Nano catalyst and peroxymonosulfate;Ce-Co3S 4‑x Nano catalyst and peroxymonosulfate are added to the wastewater containing endocrine disruptor to be treated, and Fenton-like catalytic reaction is carried out under stirring condition, and endocrine disruptor in wastewater to be treated is degraded.The method can efficiently and stably remove endocrine disruptor in wastewater, and can achieve almost 99.9% removal rate of bisphenol A within 9min, and 99.6% removal rate of pentachloronitrobenzene within 12min.

The invention relates to a method for producing hydrogen through co-pyrolysis of sludge and endocrine disrupter, and belongs to the technical field of solid waste recycling. In order to solve the problems of low anaerobic fermentation hydrogen production efficiency, long period and great environmental harm caused by endocrine disruptors in the prior art, the method comprises the following steps: step 1, screening, concentrating and drying sludge to obtain a dried sludge sample, step 2, setting and adding 2, 6-DCP sludge with the content of 10%, 20% and 30%, and step 3, adding 2, 6-DCP into the dried sludge sample, and constructing and operating an endocrine disrupter and sludge co-pyrolysis hydrogen production system. According to the invention, a rapid pyrolysis method and an electric heating mode are adopted, the temperature is rapidly raised to the target temperature, and then the sludge is pyrolyzed, so that the time and the economic cost of the pyrolysis process are reduced, and the efficiency of sludge treatment is realized.

The invention discloses a preparation method of a carbon-modified vanadium disulfide nano material for oxidative removal of endocrine disrupters in a water body and application of the carbon-modified vanadium disulfide nano material to activation of persulfate. The preparation method comprises the following steps: firstly, using ammonium metavanadate as a vanadium source, thioacetamide as a sulfur source and L-ascorbic acid as a carbon source, and adjusting the pH value by using ammonia water; the molar ratio of ammonium metavanadate to thioacetamide to L-ascorbic acid is 1: 5: (1-5), and 2-4 mL of ammonia water is prepared into a precursor; the precursor is subjected to water bath ultrasonic treatment and then subjected to a hydrothermal reaction, washing and vacuum drying are conducted after the reaction is completed, and then the powdery carbon-modified vanadium disulfide is obtained. Compared with a single vanadium disulfide metal 1T phase, the carbon-modified vanadium disulfide nano material for oxidative removal of endocrine disrupters in a water body, prepared by the preparation method disclosed by the invention, is higher in composition, richer in microporous structure, higher in persulfate catalytic activation capability and reusability and lower in toxicity; under the same reaction condition, the degradation reaction rate constant is 4-79 times higher than that of common metal sulfide.

The present application relates to the technical field of detection, in particular to a method for detecting the exposure concentration of environmental endocrine disruptors in human body, comprising obtaining sample data, calculating sample concentration verification index; generating sample concentration step state signal according to sample concentration verification index; obtaining temperature data, calculating sample temperature evaluation index; generating sample temperature state signal according to sample temperature evaluation index; obtaining sample temperature data and sample refractive index data, calculating temperature-refraction evaluation index; generating temperature-refraction correlation signal according to temperature-refraction evaluation index; calculating stirring speed adjustment value according to temperature difference degree value; the present application analyzes the refractive index of sample and the temperature in the sample concentration process, adjusts the stirring speed in the sample concentration process, reduces the influence of sample processing process on the detection result, thereby improving the accuracy of the detection result of the exposure concentration of environmental endocrine disruptors in human body.

The invention relates to the technical field of biological monitoring, in particular to a fluorescence sensor for detecting endocrine disruption activity in sewage and application. A Y-type polypeptide containing an anchoring region, a hinge region and an antifouling region is creatively designed as a structural skeleton, and the tail ends of a main chain and a branch chain are respectively subjected to directional modification to prepare the multifunctional ligand-polypeptide-dye conjugate; an optical biosensing chip, namely a ligand-polypeptide-dye conjugate functionalized biosensing chip which is high in reaction efficiency, strong in anti-pollution characteristic and capable of being stably regenerated, is constructed by adopting a covalent coupling method, and then the quantum dot-nuclear receptor fluorescent probe which is high in sensitivity and adjustable in emission spectrum is prepared. The ratio fluorescence biosensing principle based on fluorescence resonance energy transfer is provided, rapid quantitative detection of the endocrine disruptors in sewage is achieved, and the endocrine disruptors have broad-spectrum specific recognition capacity on a certain type of endocrine disruptors.

The invention relates to the technical field of environmental endocrine disruptors, and discloses a biomarker for detecting EDC-induced glutamic acid synaptic dysfunction and a detection method thereof. The biomarker combination comprises molecules selected from at least one group of the following: presynaptic end function related proteins: plasma or cerebrospinal fluid (CSF) exosome levels including but not limited to synapsin-1 and vesicular glutamate transporter 1 (VGLUT1); proteins related to post-synaptic density and NMDA receptor functions include, but are not limited to, post-synaptic density protein 95 (PSD95), the phosphorylation level of a GluN1 subunit or soluble fragments thereof in CSF; the invention relates to astrocyte-neuron coupling related molecules. According to the invention, a multi-dimensional biomarker combination containing a presynaptic terminal function, a post-synaptic density and receptor function, astrocyte-neuron coupling and endoplasmic reticulum stress and calcium homeostasis is constructed, so that systemic evaluation of EDC-induced glutamic acid synaptic dysfunction is realized.

The invention provides application of alpha-ZAL in screening the risk of Crohn disease, and belongs to the technical field of biochemical detection. According to the present invention, the endocrine disrupter alpha-zeenol is adopted as the marker for screening the risk of the Crohn disease, the high performance liquid chromatography-tandem mass spectrometry detection technology is adopted to detect the endocrine disrupter, and the endocrine disrupter is prepared into the kit for the risk analysis of the Crohn disease.

This application belongs to the field of biological science research and big data mining technology, and discloses a system and method for integrating and analyzing multi-omics data of environmental endocrine disruptors. Through data collection, data storage, integrated analysis and visualization, a dedicated metadata framework for environmental endocrine disruptors is constructed, and a full-dimensional collection system covering chemical data and multi-omics data is established to realize multimodal data integration analysis and visualization functions, thereby promoting the prediction and query analysis of EDCs toxicity mechanisms. This application supports automatic conversion and structured storage of multiple data formats, thereby significantly improving data traceability efficiency and shortening the data preprocessing cycle.

The invention discloses a lake and reservoir endocrine disrupter concentration prediction and tracing method and system, and relates to the technical field of environment monitoring and pollution control, the method comprises the following steps: collecting and fusing multi-source heterogeneous monitoring data of a basin-lake and reservoir system, and constructing a standardized spatio-temporal data set; based on a hydrodynamic force and pollutant migration and transformation physical mechanism, key spatio-temporal features are extracted from the fusion data, and a high-dimensional feature tensor is constructed; constructing and training a deep neural network model fusing causal discovery and physical constraint, and predicting spatial and temporal distribution of the concentration of the endocrine disrupter in the lake and reservoir by using a feature tensor; analyzing the dynamic contribution degree of different pollution sources to the concentration of the endocrine disrupter in the target area to realize pollution source tracing; and carrying out integrated visualization on a concentration prediction result and pollution source contribution degree information, and generating graded early warning signals and targeted treatment decision suggestions. According to the method, the accuracy and robustness of lake and reservoir endocrine disrupter concentration prediction can be remarkably improved, and pollution traceability is realized.