A rapid screening method for pesticide residues based on an optimized electronic nose array

By optimizing the rapid pesticide residue screening method using electronic nose arrays, the problems of long detection cycles, high costs, and low accuracy in existing technologies have been solved. This method achieves efficient and accurate pesticide residue detection, is applicable to different agricultural products, and meets the needs for rapid, accurate, and convenient detection.

CN121834713BActive Publication Date: 2026-06-12CHENGDU VOCATIONAL COLLEGE OF AGRI SCI & TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHENGDU VOCATIONAL COLLEGE OF AGRI SCI & TECH
Filing Date
2026-03-10
Publication Date
2026-06-12

AI Technical Summary

Technical Problem

Existing pesticide residue detection technologies suffer from problems such as long detection cycles, high equipment costs, large sample losses, low detection accuracy, poor data processing and model generalization capabilities, and a lack of intelligent detection processes, making it difficult to meet the rapid, accurate, and convenient detection needs of agricultural production bases and wholesale markets.

Method used

An optimized electronic nose array was employed, using gas sensors made of various sensitive materials and an impedance matching algorithm to optimize the array arrangement. This enabled graded sample processing and headspace extraction. A dual-channel data acquisition mode was used, and data preprocessing was performed using adaptive multinomial fitting and improved wavelet transform. Finally, a fusion model of support vector machine and random forest was used to determine pesticide residues.

Benefits of technology

It enables real-time screening of pesticide residues, significantly improving detection efficiency and accuracy. It is adaptable to agricultural products with different moisture contents and matrices, enhancing the reliability of results and reducing false negative and false positive rates.

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Abstract

The application relates to a pesticide residue rapid screening method based on an optimized electronic nose array, a plurality of different sensitive material gas sensors are selected to form a basic sensor group and are arranged in an array to be optimized; a to-be-detected agricultural product sample is subjected to grading treatment; resistance change signals and response peak value appearance time of the sensor in a specified time period are synchronously collected; baseline correction is performed on dynamic response data, and then environmental interference noise is removed; specified key characteristic parameters are screened out; the screened key characteristic parameters are divided into a training set, a verification set and a final feature set according to a specified proportion, and a fusion model of a support vector machine and a random forest is trained, optimized and verified; the final feature set is input into the optimized screening model, and positive / negative judgment results and confidence are output; and the confidence is divided for separate processing. Through sensor array optimization, pretreatment, multi-dimensional data preprocessing and fusion model construction, rapid and accurate screening of pesticide residues is realized.
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