An Electronic Nose Technology to Quantify Pyrethroid Pesticide Contamination in Tea

被引:25
|
作者
Tang, Xiaoyan [1 ,2 ]
Xiao, Wenmin [3 ]
Shang, Tao [4 ]
Zhang, Shanyan [1 ,2 ]
Han, Xiaoyang [1 ,2 ]
Wang, Yuliang [5 ]
Sun, Haiwei [3 ]
机构
[1] Shandong Agr Univ, Coll Hort Sci & Engn, Tai An 271000, Shandong, Peoples R China
[2] State Key Lab Crop Biol, Tai An 271000, Shandong, Peoples R China
[3] Taian Acad Agr Sci, Tai An 271000, Shandong, Peoples R China
[4] Taian Food & Drug Inspect & Detect Inst, Tai An 271000, Shandong, Peoples R China
[5] Shandong Agr Univ, Coll Mech & Elect Engn, Tai An 271000, Shandong, Peoples R China
关键词
electronic nose; tea; pyrethroid pesticide; BP neural network technique; MULTIRESIDUE METHOD; GREEN TEA; RESIDUES; EXTRACTION; STANDARDS; BLACK;
D O I
10.3390/chemosensors8020030
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
The contamination of tea with toxic pesticides is a major concern. Additionally, because of improved detection methods, importers are increasingly rejecting contaminated teas. Here, we describe an electronic nose technique for the rapid detection of pyrethroid pesticides (cyhalothrin, bifenthrin, and fenpropathrin) in tea. Using a PEN 3 electronic nose, the text screened a group of metal oxide sensors and determined that four of them (W5S, W1S, W1W, and W2W) are suitable for the detection of the same pyrethroid pesticide in different concentrations and five of them (W5S, W1S, W1W, W2W, and W2S) are suitable for the detection of pyrethroid pesticide. The models for the determination of cyhalothrin, bifenthrin, and fenpropathrin are established by PLS method. Next, using back propagation (BP) neural network technology, we developed a three-hidden-layer model and a two-hidden-layer model to differentiate among the three pesticides. The accuracy of the three models is 96%, 92%, and 88%, respectively. The recognition accuracies of the three-hidden-layer BP neural network pattern and two-hidden-layer BP neural network pattern are 98.75% and 97.08%, respectively. Our electronic nose system accurately detected and quantified pyrethroid pesticides in tea leaves. We propose that this tool is now ready for practical application in the tea industry.
引用
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页数:10
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