Ultrasensitive and uniform surface-enhanced Raman scattering substrates for the methidathion detection
In this paper, we proposed a rapid method of detecting Methidathion pesticides by surface enhanced Raman scattering (SERS). In the method, Ag nanoparticles (AgNPs) are synthesized by the modified Tollens technique and deposited on glass slides to become simple detection arrays for SERS detection. Th...
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doaj-e3a86cd5d7b64d538c2cfb466ad98fd22020-11-24T21:59:12ZengAIP Publishing LLCAIP Advances2158-32262019-03-0193035203035203-410.1063/1.5063969062811ADVUltrasensitive and uniform surface-enhanced Raman scattering substrates for the methidathion detectionGuanzhou Lin0Jia Zhu1Meizhang Wu2Peimin Lu3Wengang Wu4College of Physics and Information Engineering, Fuzhou University, Fuzhou 350116, ChinaNational Key Laboratory of Science and Technology on Micro/Nano Fabrication, Institute of Microelectronics, Peking University, Beijing 100871, ChinaThe Affiliated High School of Peking University, Beijing 100080, ChinaCollege of Physics and Information Engineering, Fuzhou University, Fuzhou 350116, ChinaNational Key Laboratory of Science and Technology on Micro/Nano Fabrication, Institute of Microelectronics, Peking University, Beijing 100871, ChinaIn this paper, we proposed a rapid method of detecting Methidathion pesticides by surface enhanced Raman scattering (SERS). In the method, Ag nanoparticles (AgNPs) are synthesized by the modified Tollens technique and deposited on glass slides to become simple detection arrays for SERS detection. The AgNPs synthesis used in this research is environmentally friendly and does not produce harmful substances to the environment. Through measuring/investigating the SERS signals of Rhodamine 6G under different concentrations, the preparation process and process parameters of the detection substrate are determined. The Methidathion detection limit reaches 0.1 ppm based on the substrates. This work lays a foundation for preparation of large-scale SERS detection arrays in the future.http://dx.doi.org/10.1063/1.5063969 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Guanzhou Lin Jia Zhu Meizhang Wu Peimin Lu Wengang Wu |
spellingShingle |
Guanzhou Lin Jia Zhu Meizhang Wu Peimin Lu Wengang Wu Ultrasensitive and uniform surface-enhanced Raman scattering substrates for the methidathion detection AIP Advances |
author_facet |
Guanzhou Lin Jia Zhu Meizhang Wu Peimin Lu Wengang Wu |
author_sort |
Guanzhou Lin |
title |
Ultrasensitive and uniform surface-enhanced Raman scattering substrates for the methidathion detection |
title_short |
Ultrasensitive and uniform surface-enhanced Raman scattering substrates for the methidathion detection |
title_full |
Ultrasensitive and uniform surface-enhanced Raman scattering substrates for the methidathion detection |
title_fullStr |
Ultrasensitive and uniform surface-enhanced Raman scattering substrates for the methidathion detection |
title_full_unstemmed |
Ultrasensitive and uniform surface-enhanced Raman scattering substrates for the methidathion detection |
title_sort |
ultrasensitive and uniform surface-enhanced raman scattering substrates for the methidathion detection |
publisher |
AIP Publishing LLC |
series |
AIP Advances |
issn |
2158-3226 |
publishDate |
2019-03-01 |
description |
In this paper, we proposed a rapid method of detecting Methidathion pesticides by surface enhanced Raman scattering (SERS). In the method, Ag nanoparticles (AgNPs) are synthesized by the modified Tollens technique and deposited on glass slides to become simple detection arrays for SERS detection. The AgNPs synthesis used in this research is environmentally friendly and does not produce harmful substances to the environment. Through measuring/investigating the SERS signals of Rhodamine 6G under different concentrations, the preparation process and process parameters of the detection substrate are determined. The Methidathion detection limit reaches 0.1 ppm based on the substrates. This work lays a foundation for preparation of large-scale SERS detection arrays in the future. |
url |
http://dx.doi.org/10.1063/1.5063969 |
work_keys_str_mv |
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