Issue 84, 2021
From the journal:

Chemical Communications

Peak-fitting assisted SERS strategy for accurate discrimination of carboxylic acid enantiomers†

Jing Tao,a   Dan Li, ORCID logo *a   Yanyan Guoa  and  Wei Denga  

* Corresponding authors

a School of Chemical and Environmental Engineering, Shanghai Institute of Technology, Shanghai 201418, P. R. China
E-mail: dany@sit.edu.cn

Abstract

A novel peak-fitting assisted SERS (PF-SERS) strategy was developed for the first time to discriminate carboxylic acid enantiomers. The PF-SERS method offered substantial improvement in accuracy, quantitative performance of enantioselective sensing and exceptionally strong enantiomeric recognition ability.

Graphical abstract: Peak-fitting assisted SERS strategy for accurate discrimination of carboxylic acid enantiomers

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Article information

DOI
https://doi.org/10.1039/D1CC04506G
Article type
Communication
Submitted
16 Aug 2021
Accepted
27 Sep 2021
First published
27 Sep 2021

Chem. Commun., 2021,57, 11064-11067

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Peak-fitting assisted SERS strategy for accurate discrimination of carboxylic acid enantiomers

J. Tao, D. Li, Y. Guo and W. Deng, Chem. Commun., 2021, 57, 11064 DOI: 10.1039/D1CC04506G

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