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Ag-Coated Cellulose Fibers as Surface-Enhanced Raman Scattering Substrates for Adsorptive Detection of Malachite Green

Surface-enhanced Raman scattering (SERS) is a sensitive technique for the detection of low concentration analytes. In this study, we used cellulose fibers (CF) as the templates for the loading of silver nanoparticles (Ag NPs), and the obtained CF-Ag was applied in the detection of R6G and Malachite...

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Autores principales: Lu, Yudong, Wu, Changji, Wu, Yang, You, Ruiyun, Lin, Gang, Chen, Youqiang, Feng, Shangyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6073462/
https://www.ncbi.nlm.nih.gov/pubmed/30002320
http://dx.doi.org/10.3390/ma11071197
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author Lu, Yudong
Wu, Changji
Wu, Yang
You, Ruiyun
Lin, Gang
Chen, Youqiang
Feng, Shangyuan
author_facet Lu, Yudong
Wu, Changji
Wu, Yang
You, Ruiyun
Lin, Gang
Chen, Youqiang
Feng, Shangyuan
author_sort Lu, Yudong
collection PubMed
description Surface-enhanced Raman scattering (SERS) is a sensitive technique for the detection of low concentration analytes. In this study, we used cellulose fibers (CF) as the templates for the loading of silver nanoparticles (Ag NPs), and the obtained CF-Ag was applied in the detection of R6G and Malachite Green (MG) by surface-enhanced Raman scattering. The adsorption technique was employed in the sample preparation, and the optimal detecting status was identified in the dynamic range (sample status ranging from wet to dry) for different concentration of analytes. In comparison to Ag NPs, CF-Ag showed enhanced performance for adsorptive detection of Malachite Green, and the limit of detection was 5 × 10(−12) M.
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spelling pubmed-60734622018-08-13 Ag-Coated Cellulose Fibers as Surface-Enhanced Raman Scattering Substrates for Adsorptive Detection of Malachite Green Lu, Yudong Wu, Changji Wu, Yang You, Ruiyun Lin, Gang Chen, Youqiang Feng, Shangyuan Materials (Basel) Article Surface-enhanced Raman scattering (SERS) is a sensitive technique for the detection of low concentration analytes. In this study, we used cellulose fibers (CF) as the templates for the loading of silver nanoparticles (Ag NPs), and the obtained CF-Ag was applied in the detection of R6G and Malachite Green (MG) by surface-enhanced Raman scattering. The adsorption technique was employed in the sample preparation, and the optimal detecting status was identified in the dynamic range (sample status ranging from wet to dry) for different concentration of analytes. In comparison to Ag NPs, CF-Ag showed enhanced performance for adsorptive detection of Malachite Green, and the limit of detection was 5 × 10(−12) M. MDPI 2018-07-12 /pmc/articles/PMC6073462/ /pubmed/30002320 http://dx.doi.org/10.3390/ma11071197 Text en © 2018 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
Lu, Yudong
Wu, Changji
Wu, Yang
You, Ruiyun
Lin, Gang
Chen, Youqiang
Feng, Shangyuan
Ag-Coated Cellulose Fibers as Surface-Enhanced Raman Scattering Substrates for Adsorptive Detection of Malachite Green
title Ag-Coated Cellulose Fibers as Surface-Enhanced Raman Scattering Substrates for Adsorptive Detection of Malachite Green
title_full Ag-Coated Cellulose Fibers as Surface-Enhanced Raman Scattering Substrates for Adsorptive Detection of Malachite Green
title_fullStr Ag-Coated Cellulose Fibers as Surface-Enhanced Raman Scattering Substrates for Adsorptive Detection of Malachite Green
title_full_unstemmed Ag-Coated Cellulose Fibers as Surface-Enhanced Raman Scattering Substrates for Adsorptive Detection of Malachite Green
title_short Ag-Coated Cellulose Fibers as Surface-Enhanced Raman Scattering Substrates for Adsorptive Detection of Malachite Green
title_sort ag-coated cellulose fibers as surface-enhanced raman scattering substrates for adsorptive detection of malachite green
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6073462/
https://www.ncbi.nlm.nih.gov/pubmed/30002320
http://dx.doi.org/10.3390/ma11071197
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