Rapid detection of chlorpyrifos pesticide residue in tea using surface-enhanced Raman spectroscopy combined with chemometrics

2021 ◽  
Vol 250 ◽  
pp. 119366
Author(s):  
Xiaoyu Zhu ◽  
Wenjin Li ◽  
Ruimei Wu ◽  
Peng Liu ◽  
Xiao Hu ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Pesticide Residue ◽  
Rapid Detection ◽  
Surface Enhanced Raman Spectroscopy ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

scholarly journals Rapid Detection of Pesticide Residues in Paddy Water Using Surface-Enhanced Raman Spectroscopy

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 506 ◽  
Author(s):  
Shizhuang Weng ◽  
Wenxiu Zhu ◽  
Ronglu Dong ◽  
Ling Zheng ◽  
Fang Wang
Keyword(s):  
Raman Spectroscopy ◽  
Pesticide Residue ◽  
Pesticide Residues ◽  
Rapid Detection ◽  
Surface Enhanced Raman Spectroscopy ◽  
Support Vector ◽  
Chemometric Methods ◽  
Paddy Water ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

Pesticide residue in paddy water is one of the main factors affecting the quality and safety of rice, however, the negative effect of this residue can be effectively prevented and reduced through early detection. This study developed a rapid detection method for fonofos, phosmet, and sulfoxaflor in paddy water through chemometric methods and surface-enhanced Raman spectroscopy (SERS). Residue from paddy water samples was directly used for SERS measurement. The obtained spectra from the SERS can detect 0.5 mg/L fonofos, 0.25 mg/L phosmet, and 1 mg/L sulfoxaflor through the appearance of major characteristic peaks. Then, we used chemometric methods to develop models for the intelligent analysis of pesticides, alongside the SERS spectra. The classification models developed by K-nearest neighbor identified all of the samples, with an accuracy of 100%. For the quantitative analysis, the partial least squares regression models obtained the best predicted performance for fonofos and sulfoxaflor, and the support vector machine model provided optimal results, with a root-mean-square error of validation of 0.207 and a coefficient of determination of validation of 0.99952, for phosmet. Experiments for actual contaminated samples also showed that the above models predicted the pesticide residue values with high accuracy. Overall, using SERS with chemometric methods provided a simple and convenient approach for the detection of pesticide residues in paddy water.

Understanding the competitive interactions in aptamer–gold nanoparticle based colorimetric assays using surface enhanced Raman spectroscopy (SERS)

2016 ◽  
Vol 8 (7) ◽  
pp. 1602-1608 ◽  
Author(s):  
Shintaro Pang ◽  
Lili He
Keyword(s):  
Raman Spectroscopy ◽  
Gold Nanoparticle ◽  
Rapid Detection ◽  
Surface Enhanced Raman Spectroscopy ◽  
Competitive Interactions ◽  
Detection Methods ◽  
Color Changes ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Colorimetric Assays

Aptamer–gold nanoparticle (AuNP) based colorimetric assays have become increasingly popular as viable rapid detection methods, but the molecular interactions governing the mechanism and successful interpretation of color changes have not been explored well.

Rapid Detection of Carbapenemase-Producing Enterobacteriacae Based on Surface-Enhanced Raman Spectroscopy with Gold Nanostars

2020 ◽  
Vol 6 (5) ◽  
pp. 947-953 ◽  
Author(s):  
Yen Lynn Wong ◽  
Wei Cherng Malvin Kang ◽  
Miguel Reyes ◽  
Jeanette Woon Pei Teo ◽  
James Chen Yong Kah
Keyword(s):  
Raman Spectroscopy ◽  
Rapid Detection ◽  
Surface Enhanced Raman Spectroscopy ◽  
Gold Nanostars ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

Rapid Detection of an Anthrax Biomarker by Surface-Enhanced Raman Spectroscopy

2005 ◽  
Vol 127 (12) ◽  
pp. 4484-4489 ◽  
Author(s):  
Xiaoyu Zhang ◽  
Matthew A. Young ◽  
Olga Lyandres ◽  
Richard P. Van Duyne
Keyword(s):  
Raman Spectroscopy ◽  
Rapid Detection ◽  
Surface Enhanced Raman Spectroscopy ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

Rapid Detection of Drugs of Abuse in Saliva Using Surface Enhanced Raman Spectroscopy and Microfluidics

ACS Nano ◽  
2013 ◽  
Vol 7 (8) ◽  
pp. 7157-7164 ◽  
Author(s):  
Chrysafis Andreou ◽  
Mehran R. Hoonejani ◽  
Meysam R. Barmi ◽  
Martin Moskovits ◽  
Carl D. Meinhart
Keyword(s):  
Raman Spectroscopy ◽  
Rapid Detection ◽  
Drugs Of Abuse ◽  
Surface Enhanced Raman Spectroscopy ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

Establishment of rapid detection method of methamidophos in vegetables by surface enhanced Raman spectroscopy

2012 ◽  
Vol 234 (6) ◽  
pp. 1091-1098 ◽  
Author(s):  
Yunfei Xie ◽  
Godelieve Mukamurezi ◽  
Yingying Sun ◽  
Heya Wang ◽  
He Qian ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Rapid Detection ◽  
Detection Method ◽  
Surface Enhanced Raman Spectroscopy ◽  
Surface Enhanced ◽  
Surface Enhanced Raman
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