Literature DB >> 30472440

Advances in online methods for monitoring microbial growth.

Xuzhi Zhang1, Xiaoyu Jiang2, Zhihui Hao3, Keming Qu4.   

Abstract

Understanding the characteristics of microbial growth is of great significance to many fields including in scientific research, the food industry, health care, and agriculture. Many methods have been established to characterize the process of microbial growth. Online and automated methods, in which sample transfer is avoided, are popular because they can facilitate the development of simple, safe, and effective growth monitoring. This review focuses on advances in online monitoring methods over the last decade (2008-2018). We specifically focus on optic- and electrochemistry-based techniques, either through contact measurements or contactless measurement. Strengths and weaknesses of each set of methods are described and we also speculate on forthcoming trends in the field.
Copyright © 2018 Elsevier B.V. All rights reserved.

Keywords:  Methodology; Microbial growth; Online monitoring; Real-time; Sensor

Mesh:

Year:  2018        PMID: 30472440     DOI: 10.1016/j.bios.2018.10.035

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  4 in total

1.  Conductometric sensor for viable Escherichia coli and Staphylococcus aureus based on magnetic analyte separation via aptamer.

Authors:  Xuzhi Zhang; Xiaochun Wang; Qianqian Yang; Xiaoyu Jiang; Yang Li; Jun Zhao; Keming Qu
Journal:  Mikrochim Acta       Date:  2019-12-12       Impact factor: 5.833

Review 2.  Recent developments and emerging trends of mass spectrometric methods in plant hormone analysis: a review.

Authors:  Liyuan Wang; Yilin Zou; Han Yeong Kaw; Gang Wang; Huaze Sun; Long Cai; Chengyu Li; Long-Yue Meng; Donghao Li
Journal:  Plant Methods       Date:  2020-04-16       Impact factor: 4.993

Review 3.  Recent Advances in Aptamer-Based Biosensors for Detection of Pseudomonas aeruginosa.

Authors:  Xin Zheng; Shunxiang Gao; Jihong Wu; Xiaobo Hu
Journal:  Front Microbiol       Date:  2020-12-22       Impact factor: 5.640

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

Authors:  Xuzhi Zhang; Xiaoyu Jiang; Qianqian Yang; Yong Xu; Xiaochun Wang; Jinping Wang; Xiaobo Sun; Guosi Xie; Yan Zhang; Jun Zhao; Keming Qu
Journal:  Sci Rep       Date:  2020-12-04       Impact factor: 4.379

  4 in total

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