Cargando…

Identification and classification of ATS in oral fluid based on Ag nanoassemblies on Si surface doped with Au nanobipyramids

Herein, a novel Ag NP substrate doped with Au nanobipyramids was designed and fabricated via a convenient procedure of galvanic reaction for the identification and classification of amphetamine-type stimulants (ATS) in oral fluids in combination with surface enhanced Raman scattering (SERS). The sub...

Descripción completa

Detalles Bibliográficos
Autores principales: Cui, Sheng-Feng, Yang, Hai-Long, Huang, Xin, Wan, Jing-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477168/
https://www.ncbi.nlm.nih.gov/pubmed/37666953
http://dx.doi.org/10.1038/s41598-023-41860-5
_version_ 1785101090960703488
author Cui, Sheng-Feng
Yang, Hai-Long
Huang, Xin
Wan, Jing-Wei
author_facet Cui, Sheng-Feng
Yang, Hai-Long
Huang, Xin
Wan, Jing-Wei
author_sort Cui, Sheng-Feng
collection PubMed
description Herein, a novel Ag NP substrate doped with Au nanobipyramids was designed and fabricated via a convenient procedure of galvanic reaction for the identification and classification of amphetamine-type stimulants (ATS) in oral fluids in combination with surface enhanced Raman scattering (SERS). The substrate was shown to have a three-dimensional nanostructure, high SERS activity, and good stability. In combination with SERS, the Ag NP substrate doped with Au nanobipyramids was able to detect ultra-low traces of ATS, including amphetamine, methylamphetamine (MA), 3,4-methylenedioxyamphetamine (MDA), and 3,4-methylenedioxymethylamphetamine (MDMA) in oral fluid with limit of detection (LOD) and limit of determination quantitation (LOQ) as low as 10(–9) mg/mL, which is much better than the current spectroscopic techniques. The equations between concentration and peaks intensity for quantitative analysis displied good doublelogarithmic linear relations and reliability figures of merit at nanogram concentration level in compartion with GC–MS method. The approach can be broadly applied to the ultra-low trace detection of ATS in oral fluid and would be particularly useful for the analyses of nitrogenous organic compounds.
format Online
Article
Text
id pubmed-10477168
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-104771682023-09-06 Identification and classification of ATS in oral fluid based on Ag nanoassemblies on Si surface doped with Au nanobipyramids Cui, Sheng-Feng Yang, Hai-Long Huang, Xin Wan, Jing-Wei Sci Rep Article Herein, a novel Ag NP substrate doped with Au nanobipyramids was designed and fabricated via a convenient procedure of galvanic reaction for the identification and classification of amphetamine-type stimulants (ATS) in oral fluids in combination with surface enhanced Raman scattering (SERS). The substrate was shown to have a three-dimensional nanostructure, high SERS activity, and good stability. In combination with SERS, the Ag NP substrate doped with Au nanobipyramids was able to detect ultra-low traces of ATS, including amphetamine, methylamphetamine (MA), 3,4-methylenedioxyamphetamine (MDA), and 3,4-methylenedioxymethylamphetamine (MDMA) in oral fluid with limit of detection (LOD) and limit of determination quantitation (LOQ) as low as 10(–9) mg/mL, which is much better than the current spectroscopic techniques. The equations between concentration and peaks intensity for quantitative analysis displied good doublelogarithmic linear relations and reliability figures of merit at nanogram concentration level in compartion with GC–MS method. The approach can be broadly applied to the ultra-low trace detection of ATS in oral fluid and would be particularly useful for the analyses of nitrogenous organic compounds. Nature Publishing Group UK 2023-09-04 /pmc/articles/PMC10477168/ /pubmed/37666953 http://dx.doi.org/10.1038/s41598-023-41860-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Cui, Sheng-Feng
Yang, Hai-Long
Huang, Xin
Wan, Jing-Wei
Identification and classification of ATS in oral fluid based on Ag nanoassemblies on Si surface doped with Au nanobipyramids
title Identification and classification of ATS in oral fluid based on Ag nanoassemblies on Si surface doped with Au nanobipyramids
title_full Identification and classification of ATS in oral fluid based on Ag nanoassemblies on Si surface doped with Au nanobipyramids
title_fullStr Identification and classification of ATS in oral fluid based on Ag nanoassemblies on Si surface doped with Au nanobipyramids
title_full_unstemmed Identification and classification of ATS in oral fluid based on Ag nanoassemblies on Si surface doped with Au nanobipyramids
title_short Identification and classification of ATS in oral fluid based on Ag nanoassemblies on Si surface doped with Au nanobipyramids
title_sort identification and classification of ats in oral fluid based on ag nanoassemblies on si surface doped with au nanobipyramids
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477168/
https://www.ncbi.nlm.nih.gov/pubmed/37666953
http://dx.doi.org/10.1038/s41598-023-41860-5
work_keys_str_mv AT cuishengfeng identificationandclassificationofatsinoralfluidbasedonagnanoassembliesonsisurfacedopedwithaunanobipyramids
AT yanghailong identificationandclassificationofatsinoralfluidbasedonagnanoassembliesonsisurfacedopedwithaunanobipyramids
AT huangxin identificationandclassificationofatsinoralfluidbasedonagnanoassembliesonsisurfacedopedwithaunanobipyramids
AT wanjingwei identificationandclassificationofatsinoralfluidbasedonagnanoassembliesonsisurfacedopedwithaunanobipyramids