Automatically showing microbial growth kinetics with a high-performance microbial growth analyzer

细菌生长 动力学 增长曲线(统计) 食品科学 化学 金黄色葡萄球菌 微生物学 生物 细菌 数学 物理 统计 遗传学 量子力学
作者
Xuzhi Zhang,Qianqian Yang,Liangyu Ma,Dahai Zhang,Wentao Lin,Nick Schlensky,Hongrui Cheng,Yuanhui Zheng,Xiliang Luo,Caifeng Ding,Yan Zhang,Xiangyi Hou,Feng Lu,Hua Yan,Ruoju Wang,Chenzhong Li,Keming Qu
出处
期刊:Biosensors and Bioelectronics [Elsevier BV]
卷期号:239: 115626-115626 被引量:14
标识
DOI:10.1016/j.bios.2023.115626
摘要

It is difficult to show microbial growth kinetics online when they grow in complex matrices. We presented a novel strategy to address this challenge by developing a high-performance microbial growth analyzer (HPMGA), which employed a unique 32-channel capacitively coupled contactless conductivity detector as a sensing element and fixed with a CellStatz software. It was capable of online showing accurate and repeatable growth curves of well-dispersed and bad-dispersed microbes, whether they grew in homogeneous simple culture broth or heterogeneous complex matrices. Moreover, it could automatically report key growth kinetics parameters. In comparison to optical density (OD), plate counting and broth microdilution (BMD) methods, we demonstrated its practicability in five scenarios: 1) the illustration of the growth, growth rate, and acceleration curves of Escherichia coli (E. coli); 2) the antimicrobial susceptibility testing (AST) of Oxacillin against Staphylococcus aureus (S. aureus); 3) the determination of Ag nanoparticle toxicity on Providencia rettgeri (P. rettgeri); 4) the characterization of milk fermentation; and 5) the enumeration of viable pathogenic Vibrio in shrimp body. Results highlighted that the HPMGA method had the advantages of universality and effectivity. This technology would significantly facilitate the routine analysis of microbial growth in many fields (biology, medicine, clinic, life, food, environment, and ecology), paving an avenue for microbiologists to achieve research goals that have been inhibited for years due to a lack of practical analytical methods.
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