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Semi-quantitative analysis of multiple chemical mixtures in solution at trace level by surface-enhanced Raman Scattering
Surface-enhanced Raman scattering (SERS) technology combines with chemometric method of principal component analysis (PCA) was used to calculate the composition of chemical mixtures in solution. We reported here that there exists composition discrepancy between molecules in solution and molecules ad...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5522419/ https://www.ncbi.nlm.nih.gov/pubmed/28733621 http://dx.doi.org/10.1038/s41598-017-06543-y |
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author | Zou, Sumeng Hou, Mengjing Li, Jianghao Ma, Lingwei Zhang, Zhengjun |
author_facet | Zou, Sumeng Hou, Mengjing Li, Jianghao Ma, Lingwei Zhang, Zhengjun |
author_sort | Zou, Sumeng |
collection | PubMed |
description | Surface-enhanced Raman scattering (SERS) technology combines with chemometric method of principal component analysis (PCA) was used to calculate the composition of chemical mixtures in solution. We reported here that there exists composition discrepancy between molecules in solution and molecules adsorbed on Ag@Al(2)O(3) nanorods substrates due to difference in adsorption kinetics of each component. We proposed here a way to calculate the adsorption kinetics factor for each component using a standard sample as the reference, with which one could correct the predictions given by PCA. We demonstrate the validity of this approach in estimating the compositions of mixtures with two, three and four components of 1, 4-Benzenedithiol, 2-Naphthalenethiol, 4-Mercaptobenzoic acid, and 4-Mercaptopyridine molecules, with acceptable errors. Furthermore, a general formula applied to more complex mixtures was proposed to calculate compositions in solution. |
format | Online Article Text |
id | pubmed-5522419 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55224192017-07-26 Semi-quantitative analysis of multiple chemical mixtures in solution at trace level by surface-enhanced Raman Scattering Zou, Sumeng Hou, Mengjing Li, Jianghao Ma, Lingwei Zhang, Zhengjun Sci Rep Article Surface-enhanced Raman scattering (SERS) technology combines with chemometric method of principal component analysis (PCA) was used to calculate the composition of chemical mixtures in solution. We reported here that there exists composition discrepancy between molecules in solution and molecules adsorbed on Ag@Al(2)O(3) nanorods substrates due to difference in adsorption kinetics of each component. We proposed here a way to calculate the adsorption kinetics factor for each component using a standard sample as the reference, with which one could correct the predictions given by PCA. We demonstrate the validity of this approach in estimating the compositions of mixtures with two, three and four components of 1, 4-Benzenedithiol, 2-Naphthalenethiol, 4-Mercaptobenzoic acid, and 4-Mercaptopyridine molecules, with acceptable errors. Furthermore, a general formula applied to more complex mixtures was proposed to calculate compositions in solution. Nature Publishing Group UK 2017-07-21 /pmc/articles/PMC5522419/ /pubmed/28733621 http://dx.doi.org/10.1038/s41598-017-06543-y Text en © The Author(s) 2017 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Zou, Sumeng Hou, Mengjing Li, Jianghao Ma, Lingwei Zhang, Zhengjun Semi-quantitative analysis of multiple chemical mixtures in solution at trace level by surface-enhanced Raman Scattering |
title | Semi-quantitative analysis of multiple chemical mixtures in solution at trace level by surface-enhanced Raman Scattering |
title_full | Semi-quantitative analysis of multiple chemical mixtures in solution at trace level by surface-enhanced Raman Scattering |
title_fullStr | Semi-quantitative analysis of multiple chemical mixtures in solution at trace level by surface-enhanced Raman Scattering |
title_full_unstemmed | Semi-quantitative analysis of multiple chemical mixtures in solution at trace level by surface-enhanced Raman Scattering |
title_short | Semi-quantitative analysis of multiple chemical mixtures in solution at trace level by surface-enhanced Raman Scattering |
title_sort | semi-quantitative analysis of multiple chemical mixtures in solution at trace level by surface-enhanced raman scattering |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5522419/ https://www.ncbi.nlm.nih.gov/pubmed/28733621 http://dx.doi.org/10.1038/s41598-017-06543-y |
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