Literature DB >> 34049624

Reproducible, shelf-stable, and bioaffinity SERS nanotags inspired by multivariate polyphenolic chemistry for bacterial identification.

Lunjie Huang1, Da-Wen Sun2, Zhihui Wu1, Hongbin Pu1, Qingyi Wei1.   

Abstract

Efficient identification of pathogenic bacteria is greatly concerned with microbial food safety and foodborne diseases diagnosis. Surface-enhanced Raman scattering (SERS) tags are among the cutting-edge tools for bioanalysis, but facing troubles in either SERS sensitivity, durability, interfering signals, or universal recognition agents for target bacteria. This work proposed a multivariate scheme enabled by polyphenolic chemistry for the green synthesis, facile stabilization (functionalization), protective encapsulation, and bio-affinitive design of metal-phenolic networks (MPNs)-encapsulated silver SERS nanotags (AgNPs@4-mercaptobenzonitrile@MPNs). With remarkable SERS properties, shelf stability, and bacterial affinity, AgNPs@4-mercaptobenzonitrile@MPNs tags enabled rapid, reproducible, and interference-free SERS detection of two representative foodborne pathogens (i.e., E. coli O157: H7 and S. aureus) in the assistance of an aptamer-labelled magnetic probe, reaching good sensitivity and selectivity. Moreover, this SERS biosensor worked well in real food samples, manifesting the potential of polyphenolic chemistry in the customization of bio-affinitive SERS nanotags for food safety detection.
Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Foodborne pathogens; Metal-phenolic networks; Microbial food safety; Polyphenols; SERS detection

Year:  2021        PMID: 34049624     DOI: 10.1016/j.aca.2021.338570

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  3 in total

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Authors:  Wei Chen; Qingteng Lai; Yanke Zhang; Zhengchun Liu
Journal:  Front Bioeng Biotechnol       Date:  2022-05-23

2.  Detection of Bioactive Metabolites in Escherichia Coli Cultures Using Surface-Enhanced Raman Spectroscopy.

Authors:  Heera Jayan; Hongbin Pu; Da-Wen Sun
Journal:  Appl Spectrosc       Date:  2022-03-25       Impact factor: 3.588

3.  2D nanomaterial sensing array using machine learning for differential profiling of pathogenic microbial taxonomic identification.

Authors:  Zhijun Li; Yizhou Jiang; Shihuan Tang; Haixia Zou; Wentao Wang; Guangpei Qi; Hongbo Zhang; Kun Jin; Yuhe Wang; Hong Chen; Liyuan Zhang; Xiangmeng Qu
Journal:  Mikrochim Acta       Date:  2022-07-06       Impact factor: 6.408

  3 in total

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