Rapid Quantitative Detection of Live IEscherichia coli/I Based on Chronoamperometry

• Published in: Biosensors (Basel) Vol. 12; no. 10
• Main Authors: Cao, Zhuosong, Li, Chenyu, Yang, Xiaobo, Wang, Shang, Zhang, Xi, Zhao, Chen, Xue, Bin, Gao, Chao, Zhou, Hongrui, Yang, Yutong, Shen, Zhiqiang, Sun, Feilong, Wang, Jingfeng, Qiu, Zhigang
• Format: Journal Article
• Language: English
• Published: MDPI AG 01.10.2022
• Subjects: Biosensors; Chemical properties; Electric properties; Electrochemical analysis; Escherichia coli; Forecasts and trends; Identification and classification; Methods; Testing; China
• ISSN: 2079-6374; 2079-6374
• DOI: 10.3390/bios12100845

The rapid quantitative detection of Escherichia coli (E. coli) is of great significance for evaluating water and food safety. At present, the conventional bacteria detection methods cannot meet the requirements of rapid detection in water environments. Herein, we report a method based on chronoamperometry to rapidly and quantitatively detect live E. coli. In this study, the current indicator i[sub.0] and the electricity indicator A were used to record the cumulative effect of bacteria on an unmodified glassy carbon electrode (GCE) surface during chronoamperometric detection. Through the analysis of influencing factors and morphological characterization, it was proved that the changes of the two set electrochemical indicator signals had a good correlation with the concentration of E. coli; detection time was less than 5 min, the detection range of E. coli was 10[sup.4] –10[sup.8] CFU/mL, and the error range was <30%. The results of parallel experiments and spiking experiments showed that this method had good repeatability, stability, and sensitivity. Humic acid and dead cells did not affect the detection results. This study not only developed a rapid quantitative detection method for E. coli in the laboratory, but also realized a bacterial detection scheme based on the theory of bacterial dissolution and adsorption for the first time, providing a new direction and theoretical basis for the development of electrochemical biosensors in the future.