Bacterial identification and adhesive strength evaluation based on a mannose biosensor with dual-mode detection

Feiyun Cui; Xiaoqun Shen; Bo Cao; Haijie Ji; Jianlei Liu; Xiwei Zhuang; Chijia Zeng; Bin Qu; Shunbo Li; Yi Xu; Qin Zhou

doi:10.1016/j.bios.2022.114044

Bacterial identification and adhesive strength evaluation based on a mannose biosensor with dual-mode detection

Biosens Bioelectron. 2022 May 1:203:114044. doi: 10.1016/j.bios.2022.114044. Epub 2022 Jan 30.

Authors

Feiyun Cui¹, Xiaoqun Shen¹, Bo Cao², Haijie Ji³, Jianlei Liu³, Xiwei Zhuang³, Chijia Zeng³, Bin Qu⁴, Shunbo Li⁵, Yi Xu⁶, Qin Zhou⁷

Affiliations

¹ Key Disciplines Laboratory of Novel Micro-nano Devices and System Technology & Key Lab for Optoelectronic Technology and Systems, Ministry of Education, School of Optoelectronic Engineering, Chongqing University, Chongqing, 400044, China.
² College of Basic Medical Sciences, Harbin Medical University, Harbin Medical University, Harbin, 150081, China.
³ Department of Laboratory Medicine and Pathology, Foshan Fosun Chancheng Hospital, Foshan, Guangdong, 52800, China.
⁴ Biophysics, Center for Integrative Physiology and Molecular Medicine (CIPMM), School of Medicine, Saarland University, 66421, Homburg, Germany.
⁵ Key Disciplines Laboratory of Novel Micro-nano Devices and System Technology & Key Lab for Optoelectronic Technology and Systems, Ministry of Education, School of Optoelectronic Engineering, Chongqing University, Chongqing, 400044, China. Electronic address: shunbo.li@cqu.edu.cn.
⁶ Key Disciplines Laboratory of Novel Micro-nano Devices and System Technology & Key Lab for Optoelectronic Technology and Systems, Ministry of Education, School of Optoelectronic Engineering, Chongqing University, Chongqing, 400044, China. Electronic address: xuyibbd@cqu.edu.cn.
⁷ College of Basic Medical Sciences, Harbin Medical University, Harbin Medical University, Harbin, 150081, China. Electronic address: zhouqin@hrbmu.edu.cn.

PMID: 35123316
DOI: 10.1016/j.bios.2022.114044

Abstract

A biosensor integrated with mannose nano-surface was developed for the identification and adhesive strength evaluation of bacteria. Different bacteria were studied on the designed surface by both electrochemical impedance spectroscopy (EIS) and surface enhanced Raman spectroscopy (SERS). S. typhimurium and E. coli JM109 (type 1 pili) were found to be captured by the mannose nano-surface. SERS spectra were used to identify the species of captured bacteria by combing with partial least squares discriminant analysis (PLS-DA). Meanwhile, binding affinities of the two captured bacteria to mannose nano-surface were obtained by EIS measurements and Frumkin isotherm model analysis, which were 6.859 × 10²³ M^-1 and 2.054 × 10¹⁷ M^-1 respectively. A higher binding affinity indicates a stronger adhesive strength. Hence the results show the S. typhimurium has a stronger adhesive strength to mannose. Normalized impedance change (NIC) was proved to have a positive relevant relationship with binding affinities, which could be used as an indicator for the adhesive strength of bacteria. It was demonstrated that 100% accuracy of bacteria species discrimination and good consistency of NIC and adhesive strength for blind samples. The developed biosensor can provide both qualitative and quantitative information of selective recognition between bacteria and mannose.

Keywords: Adhesive strength evaluation; Bacterial identification; Binding affinity; Biosensor; SERS and EIS dual-Mode detection.

MeSH terms

Adhesives
Biosensing Techniques*
Escherichia coli
Mannose
Spectrum Analysis, Raman / methods

Substances

Adhesives
Mannose