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Updated: Apr 22, 2026

Biosensor for Detection of Antibiotic Resistant Staphylococcus Bacteria
Published on: May 8, 2013
A Host-Guest-Regulated Photocurrent Polarity Switching with a "Binary" Strategy for False-Positive-Free Microbial
Wenjie Zhang1, Fei Tan1, Wenxuan Guo1
1Shandong Key Laboratory of Healthy Food Resources Exploration and Creation, School of Food Sciences and Engineering, State Key Laboratory of Biobased Material and Green Papermaking, Qilu University of Technology, Shandong Academy of Sciences, Jinan 250353, China.
None:
Herein, we report a supramolecular photoelectrochemical (PEC) biosensor based on a signal-polarity-inversion strategy, integrated with bacterial imprinting technology, for the ultrasensitive and selective detection of Staphylococcus aureus (S. aureus). The biosensor is constructed by embedding S. aureus within a bacterial-imprinted polymer (BIP) formed from a host-guest complex between 1,3,6,8-tetraethynylpyrene (TEPy) and cucurbit [7] uril (CB [7]). Remarkably, the interaction between the TEPy@4CB [7] complex and S. aureus triggers a unique photocurrent polarity switch from anodic to cathodic. Mechanistic studies reveal that this inversion stems from the encapsulation of the terminal alkyne group of TEPy by CB [7], which alters the electron transfer pathway between the complex and the bacteria. This SPI mechanism not only amplifies the detection signal but also effectively suppresses false-positive responses in complex matrices through polarity switching. Under optimized conditions, the biosensor exhibits excellent selectivity over competing bacteria and achieves a remarkably low detection limit of 2.76 CFU/mL. It also demonstrates high applicability in real food samples. Furthermore, molecular docking simulations provide insights into the assembly and sensing mechanisms. This work significantly mitigates interference issues inherent in conventional detection methods, offering a rapid, efficient, and accurate analytical platform for microbial detection in food and environmental monitoring.
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