Citation: Ting Huang, Xiaohua Zhu, Meiling Liu, Haitao Li, Youyu Zhang, Yang Liu, Shouzhuo Yao. Bioinspired interface-mediated multichannel sensor array for rapid and robust identification of bacteria[J]. Chinese Chemical Letters, ;2025, 36(8): 110530. doi: 10.1016/j.cclet.2024.110530 shu

Bioinspired interface-mediated multichannel sensor array for rapid and robust identification of bacteria

Ting Huang ^a ,
Xiaohua Zhu ^{a, *,} ,
Meiling Liu ^a ,
Haitao Li ^{a, *,} ,
Youyu Zhang ^a ,
Yang Liu ^{b, *,} ,
Shouzhuo Yao ^a

a.
Key Laboratory of Chemical Biology and Traditional Chinese Medicine Research (Ministry of Education), College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, China
b.
Department of Chemistry, Beijing Key Laboratory for Analytical Methods and Instrumentation, Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology of Ministry of Education, Tsinghua University, Beijing 100084, China

zhuxiaohua@hunnu.edu.cn

haitao-li@hunnu.edu.cn

liu-yang@mail.tsinghua.edu.cn

Received Date: 6 June 2024
Revised Date: 29 August 2024
Accepted Date: 8 October 2024
Available Online: 9 October 2024

Figures(6)

Rapid and robust identification of bacteria is crucial for environmental monitoring and clinical diagnosis. Herein, a bioinspired interface-mediated multichannel sensor array was developed based on three-color-emitting antimicrobial functional carbon dots (FCDs) and concanavalin A doped polydopamine nanoparticles (ConA-PDA) for identification of bacteria. In this sensor, the fluorescence intensity of the three FCDs was quenched by the ConA-PDA. Upon addition different types of bacteria, the fluorescence intensity of the three FCDs was restored or further quenched. Recur to statistical analysis methods, it is employed to accurately discriminate 10 types of bacteria (including three probiotics and seven pathogenic bacteria) in natural water samples and human urine samples. The discrimination ability of the sensor array was highly enhanced via different competing binding of the FCDs and the bacteria toward ConA-PDA. The proposed array-based method offers a rapid, high-throughput, and reliable sensing platform for pathogen diagnosis in the field of environmental monitoring and clinical diagnosis.
- Bacteria,
- Sensor array,
- Bioinspired interface,
- Carbon dots,
- Polydopamine nanoparticles
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