A method of assessing reproductive exposure risk for mixed contaminants

By establishing a QSAR model and Monte Carlo simulation, the inaccuracy of risk assessment for mixed exposure to multiple pollutants in existing technologies has been solved, enabling accurate assessment of the reproductive toxicity of mixed pollutants and providing more reliable risk assessment data.

CN117423401BActive Publication Date: 2026-07-21BEIJING UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING UNIV OF TECH
Filing Date
2023-09-15
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing technologies, when assessing the risk of mixed exposure to multiple pollutants, neglect the interactions between pollutants, resulting in inaccurate assessments that fail to reflect the true exposure risk. Furthermore, they ignore individual differences and concentration deviations of pollutants in the actual environment.

Method used

A quantitative structure-activity relationship (QSAR) model based on molecular descriptors was established. The concentration ratio of pollutants in the actual environment was calculated through Monte Carlo simulation. The optimal descriptor was selected by combining genetic algorithm to construct the TDI of mixed pollutants, which reflects the mixed reproductive toxicity of pollutants.

Benefits of technology

It provides a more accurate risk assessment of mixed reproductive exposure to multiple pollutants, taking into account the interactions between pollutants and differences in the actual environment, thus improving the accuracy and reliability of the assessment results.

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Abstract

The application relates to a method for evaluating mixed-pollutant reproductive exposure risk in the field of environmental evaluation. The method is based on molecular descriptors which can reflect the physical and chemical properties of the pollutants, establishes a quantitative structure-activity relationship (QSAR) model to predict the mixed reproductive toxicity of the pollutants, gives the daily maximum tolerable intake (TDI) of the mixed pollutants, and finally realizes the evaluation of the mixed exposure risk of the pollutants according to the actual environmental concentration of the pollutants. Compared with the existing method, the application considers the interaction between the pollutants and the nonlinear and non-additive effect on the health effect endpoint when evaluating the mixed exposure risk of multiple pollutants, provides guiding opinions for limiting the concentration level of the pollutants, and has practical value.
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