Affordable automated phenotypic antibiotic susceptibility testing method based on a contactless conductometric sensor.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
04 12 2020
Historique:
received: 14 08 2020
accepted: 11 11 2020
entrez: 5 12 2020
pubmed: 6 12 2020
medline: 15 4 2021
Statut: epublish

Résumé

User-friendly phenotypic antibiotic susceptibility testing (AST) methods are urgently needed in many fields including clinical medicine, epidemiological studies and drug research. Herein, we report a convenient and cost-effective phenotypic AST method based on online monitoring bacterial growth with a developed 8-channel contactless conductometric sensor (CCS). Using E. coli and V. parahaemolyticus as microorganism models, as well as enoxacin, florfenicol, ampicillin, kanamycin and sulfadiazine as antibiotic probes. The minimum inhibitory concentration (MIC) determination was validated in comparison with standard broth microdilution (BMD) assay. The total essential agreements between the CCS AST assays and the reference BMD AST assays are 68.8-92.3%. The CCS has an approximate price of $9,000 (USD). Requiring neither chemical nor biotic auxiliary materials for the assay makes the cost of each sample < $1. The MICs obtained with the automated CCS AST assays are more precise than those obtained with the manual BMD. Moreover, in 72 percent of the counterpart, the MICs obtained with the CCS AST assays are higher than that obtained with the BMD AST assays. The proposed CCS AST method has advantages in affordability, accuracy, sensitivity and user-friendliness.

Identifiants

pubmed: 33277561
doi: 10.1038/s41598-020-77938-7
pii: 10.1038/s41598-020-77938-7
pmc: PMC7718250
doi:

Substances chimiques

Anti-Bacterial Agents 0
Sulfadiazine 0N7609K889
Enoxacin 325OGW249P
Kanamycin 59-01-8
Ampicillin 7C782967RD
florfenicol 9J97307Y1H
Thiamphenicol FLQ7571NPM

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

21216

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Auteurs

Xuzhi Zhang (X)

Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, 266071, China.
Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao, 266071, China.

Xiaoyu Jiang (X)

Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, 266071, China.

Qianqian Yang (Q)

Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, 266071, China.

Yong Xu (Y)

Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, 266071, China.

Xiaochun Wang (X)

Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, 266071, China.

Jinping Wang (J)

College of Chemical and Pharmaceutical Sciences, Qingdao Agricultural University, Qingdao, 266109, China. jpwang@qau.edu.cn.

Xiaobo Sun (X)

College of Chemical and Pharmaceutical Sciences, Qingdao Agricultural University, Qingdao, 266109, China.

Guosi Xie (G)

Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, 266071, China.

Yan Zhang (Y)

Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, 266071, China.

Jun Zhao (J)

Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, 266071, China.

Keming Qu (K)

Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, 266071, China. qukm@ysfri.ac.cn.
Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao, 266071, China. qukm@ysfri.ac.cn.

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Classifications MeSH