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Detection and classification of pesticide residues in dandelion(Taraxacum officinale L.)by electronic nose combined with chemometric approaches

查看全文 作　　者：Jianlei [1]Qiao;Xinmei [1]Jiang;Xiaohui [2]Weng;Hongbo [1]Cui;Chang [3]Liu;Yuanjun [3]Zou;Hailing [4]Yu;Yucai [1]Feng;Zhiyong [5,6]Chang 高影响力作者 机构地区：[1]College of Horticulture,Jilin Agricultural University,Changchun 130118,China;[2]College of Mechanical and Aerospace Engineering,Jilin University,Changchun 130022,China;[3]College of Medical Information,Changchun University of Chinese Medicine,Changchun 130117,China;[4]College of Resource and Environmental Sciences/Key Laboratory of Sustainable Utilization of Soil Resources in The Commodity Grain Bases of Jilin Province,Jilin Agricultural University,Changchun,130018,China;[5]Key Laboratory of Bionic Engineering,Ministry of Education,Jilin University,Changchun 130022,China;[6]College of Biological and Agricultural Engineering,Jilin University,Changchun 130022,China高影响力机构 出　　处：《International Journal of Agricultural and Biological Engineering》索引2023年第16卷第5期,共8页高影响力期刊 基　　金：supported by the National Natural Science Found of China(Grant No.51875245);the Science-Technology Development Plan Project of Jilin Province(Grant No.20210203099SF;No.20210203004SF);the“13th Five-Year Plan”Scientific Research Foundation of the Education Department of Jilin Province(Grant No.JJKH20200871KJ;No.JJKH20200870KJ;No.JJKH20200334KJ;No.JJKH20210338KJ). 摘　　要：In this study,for the first time a suitable pesticide residue detection system for dandelion(Taraxacum officinale L.)was established based on electronic nose to determine and study the concentration of pesticide residue in dandelion.Dandelions were sprayed with different concentrations of pesticides(avermectin,trichlorfon,deltamethrin,and acetamiprid),respectively.Data collection was performed by application of an electronic nose equipped with 12 metal oxide semiconductor(MOS)sensors.Data analysis was conducted using different methods including BP neural network and random forest(RF)as well as the support vector machine(SVM).The results showed the superior effectiveness of SVM in discrimination and classification of non-exceeding maximum residue limits(MRLs)and exceeding MRLs standards.Moreover,the model trained by SVM has the best performance for the classification of pesticide categories in dandelion,and the classification accuracy was 91.7%.The results of this study can provide reference for further development and construction of efficient detection technology of pesticide residues based on electronic nose for agricultural products. 关 键 词：electronic nose DANDELION Taraxacum officinale L. pesticide residue CLASSIFICATION
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