Novel bioorthogonal reaction-mediated particle counting sensing platform using phage for rapid detection of Salmonella.

Bioorthogonal reaction Microporous resistance particle counter Phage Polystyrene microspheres Salmonella

Journal

Analytica chimica acta
ISSN: 1873-4324
Titre abrégé: Anal Chim Acta
Pays: Netherlands
ID NLM: 0370534

Informations de publication

Date de publication:
15 Dec 2022
Historique:
received: 18 07 2022
revised: 18 10 2022
accepted: 27 10 2022
entrez: 17 11 2022
pubmed: 18 11 2022
medline: 22 11 2022
Statut: ppublish

Résumé

Bacterial detection in foods have to overcome the hindrance of complex matrices, resulting in more sophisticated pre-treatment steps and low sensitivity and reproductivity. Therefore, it remains a challenge to develop simple, rapid, accurate, and low-cost pathogen detection methods which were applicable for detection in turbid or complex food matrices. In this study, a novel bioorthogonal reaction-amplified microparticle counting sensing based on phages has been developed for the rapid detection of viable Salmonella in different foods. Phage not only acted as a bioreceptor to recognize viable Salmonella, but also used as an effective carrier for signal amplifiers due to its large specific surface area. The bioorthogonal reaction was introduced to further amplify the signal, the presence of Salmonella can specifically induce a quantitative change in the functionalized polystyrene microspheres, and thus can be monitored by the microporous resistance particle counter. Under the optimized conditions, this sensor could achieve a limit of detection of 33.58 CFU/mL and a linear range from 10

Identifiants

pubmed: 36396228
pii: S0003-2670(22)01135-7
doi: 10.1016/j.aca.2022.340564
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

340564

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Junpeng Zhao (J)

Key Laboratory of Environment Correlative Dietology, Huazhong Agricultural University, Ministry of Education, Shizishan Street, Hongshan District, Wuhan, 430070, Hubei, China.

Chenxi Huang (C)

Key Laboratory of Environment Correlative Dietology, Huazhong Agricultural University, Ministry of Education, Shizishan Street, Hongshan District, Wuhan, 430070, Hubei, China.

Xufeng Wang (X)

Key Laboratory of Environment Correlative Dietology, Huazhong Agricultural University, Ministry of Education, Shizishan Street, Hongshan District, Wuhan, 430070, Hubei, China.

Xiaohong Wang (X)

Key Laboratory of Environment Correlative Dietology, Huazhong Agricultural University, Ministry of Education, Shizishan Street, Hongshan District, Wuhan, 430070, Hubei, China.

Jia Wang (J)

Key Laboratory of Environment Correlative Dietology, Huazhong Agricultural University, Ministry of Education, Shizishan Street, Hongshan District, Wuhan, 430070, Hubei, China.

Aimin Ma (A)

Key Laboratory of Environment Correlative Dietology, Huazhong Agricultural University, Ministry of Education, Shizishan Street, Hongshan District, Wuhan, 430070, Hubei, China. Electronic address: aiminma@mail.hzau.edu.cn.

Yiping Chen (Y)

Key Laboratory of Environment Correlative Dietology, Huazhong Agricultural University, Ministry of Education, Shizishan Street, Hongshan District, Wuhan, 430070, Hubei, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, Guangdong, China; Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Wuhan, 430070, Hubei, China. Electronic address: chenyiping@mail.hzau.edu.cn.

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Classifications MeSH