Cargando…

Detection of Pirimiphos-Methyl in Wheat Using Surface-Enhanced Raman Spectroscopy and Chemometric Methods

Pesticide residue detection is a hot issue in the quality and safety of agricultural grains. A novel method for accurate detection of pirimiphos-methyl residues in wheat was developed using surface-enhanced Raman spectroscopy (SERS) and chemometric methods. A simple pretreatment method was conducted...

Descripción completa

Detalles Bibliográficos
Autores principales: Weng, Shizhuang, Yu, Shuan, Dong, Ronglu, Zhao, Jinling, Liang, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539293/
https://www.ncbi.nlm.nih.gov/pubmed/31052245
http://dx.doi.org/10.3390/molecules24091691
_version_ 1783422352653025280
author Weng, Shizhuang
Yu, Shuan
Dong, Ronglu
Zhao, Jinling
Liang, Dong
author_facet Weng, Shizhuang
Yu, Shuan
Dong, Ronglu
Zhao, Jinling
Liang, Dong
author_sort Weng, Shizhuang
collection PubMed
description Pesticide residue detection is a hot issue in the quality and safety of agricultural grains. A novel method for accurate detection of pirimiphos-methyl residues in wheat was developed using surface-enhanced Raman spectroscopy (SERS) and chemometric methods. A simple pretreatment method was conducted to extract pirimiphos-methyl residue from wheat samples, and highly effective gold nanorods were prepared for SERS measurement. Raman peaks assignment was calculated using density functional theory. The Raman signal of pirimiphos-methyl can be detected when the concentrations of residue in wheat extraction solution and contaminated wheat is as low as 0.2 mg/L and 0.25 mg/L, respectively. Quantification of pirimiphos-methyl was performed by applying regression models developed by partial least squares regression, support vector machine regression and random forest with principal component analysis using different preprocessed methods. As for the contaminated wheat samples, the relative deviation between gas chromatography-mass spectrometry value and predicted value is in the range of 0.10%–6.63%, and predicted recovery is 94.12%–106.63%, ranging from 23.93 mg/L to 0.25 mg/L. Results demonstrated that the proposed SERS method is an effective and efficient analytical tool for detecting pirimiphos-methyl in wheat with high accuracy and excellent sensitivity.
format Online
Article
Text
id pubmed-6539293
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-65392932019-05-31 Detection of Pirimiphos-Methyl in Wheat Using Surface-Enhanced Raman Spectroscopy and Chemometric Methods Weng, Shizhuang Yu, Shuan Dong, Ronglu Zhao, Jinling Liang, Dong Molecules Article Pesticide residue detection is a hot issue in the quality and safety of agricultural grains. A novel method for accurate detection of pirimiphos-methyl residues in wheat was developed using surface-enhanced Raman spectroscopy (SERS) and chemometric methods. A simple pretreatment method was conducted to extract pirimiphos-methyl residue from wheat samples, and highly effective gold nanorods were prepared for SERS measurement. Raman peaks assignment was calculated using density functional theory. The Raman signal of pirimiphos-methyl can be detected when the concentrations of residue in wheat extraction solution and contaminated wheat is as low as 0.2 mg/L and 0.25 mg/L, respectively. Quantification of pirimiphos-methyl was performed by applying regression models developed by partial least squares regression, support vector machine regression and random forest with principal component analysis using different preprocessed methods. As for the contaminated wheat samples, the relative deviation between gas chromatography-mass spectrometry value and predicted value is in the range of 0.10%–6.63%, and predicted recovery is 94.12%–106.63%, ranging from 23.93 mg/L to 0.25 mg/L. Results demonstrated that the proposed SERS method is an effective and efficient analytical tool for detecting pirimiphos-methyl in wheat with high accuracy and excellent sensitivity. MDPI 2019-04-30 /pmc/articles/PMC6539293/ /pubmed/31052245 http://dx.doi.org/10.3390/molecules24091691 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Weng, Shizhuang
Yu, Shuan
Dong, Ronglu
Zhao, Jinling
Liang, Dong
Detection of Pirimiphos-Methyl in Wheat Using Surface-Enhanced Raman Spectroscopy and Chemometric Methods
title Detection of Pirimiphos-Methyl in Wheat Using Surface-Enhanced Raman Spectroscopy and Chemometric Methods
title_full Detection of Pirimiphos-Methyl in Wheat Using Surface-Enhanced Raman Spectroscopy and Chemometric Methods
title_fullStr Detection of Pirimiphos-Methyl in Wheat Using Surface-Enhanced Raman Spectroscopy and Chemometric Methods
title_full_unstemmed Detection of Pirimiphos-Methyl in Wheat Using Surface-Enhanced Raman Spectroscopy and Chemometric Methods
title_short Detection of Pirimiphos-Methyl in Wheat Using Surface-Enhanced Raman Spectroscopy and Chemometric Methods
title_sort detection of pirimiphos-methyl in wheat using surface-enhanced raman spectroscopy and chemometric methods
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6539293/
https://www.ncbi.nlm.nih.gov/pubmed/31052245
http://dx.doi.org/10.3390/molecules24091691
work_keys_str_mv AT wengshizhuang detectionofpirimiphosmethylinwheatusingsurfaceenhancedramanspectroscopyandchemometricmethods
AT yushuan detectionofpirimiphosmethylinwheatusingsurfaceenhancedramanspectroscopyandchemometricmethods
AT dongronglu detectionofpirimiphosmethylinwheatusingsurfaceenhancedramanspectroscopyandchemometricmethods
AT zhaojinling detectionofpirimiphosmethylinwheatusingsurfaceenhancedramanspectroscopyandchemometricmethods
AT liangdong detectionofpirimiphosmethylinwheatusingsurfaceenhancedramanspectroscopyandchemometricmethods