Extraction and identification of mixed pesticides' Raman signal and establishment of their prediction models

A nondestructive and sensitive method is developed to determine mixed pesticides of acetamiprid, chlorpyrifos and carbendazim in apple samples by surface‐enhanced Raman spectroscopy (SERS). Self‐modeling mixture analysis (SMA) was used to identify and extract the Raman signals of each pesticide from...

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Veröffentlicht in:	Journal of Raman spectroscopy 2017-03, Vol.48 (3), p.494-500
Hauptverfasser:	Zhai, Chen, Peng, Yankun, Li, Yongyu, Chao, Kuanglin
Format:	Artikel
Sprache:	eng
Schlagworte:	apple Chlorpyrifos Contamination Mathematical models mixed pesticides Pesticides Predictions Pretreatment Raman signal extraction Raman spectroscopy Residues self‐modeling mixture analysis surface‐enhanced Raman spectroscopy
Online-Zugang:	Volltext
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