Recognition Engineering-Mediated Multichannel Sensor Array for Gut Microbiota Sensing
Zhihui Liu, Xiaohua Zhu, Qiujun Lu, Meiling Liu, Haitao Li, Youyu Zhang, Yang Liu, Shouzhuo Yao
Abstract
The composition and activity of the gut microbiota are crucial for health management and disease treatment. Herein, we develop a rapid and robust multichannel sensor array via a recognition engineering strategy using antimicrobial agent (vancomycin, bacitracin, and lysozyme) functional gold nanoclusters and gluconamide-modified Ti 3 C 2 MXenes, which provide superior fingerprint patterns to distinguish gut-derived bacteria. The discrimination ability of the sensor array was highly improved via the synergistic recognition between the bacteria and the various antimicrobial agents. Five gut-derived bacteria, including probiotics, neutral, and pathogenic bacteria were clearly differentiated and discriminated from the bacteria mixtures. Furthermore, the sensing system was successfully applied for the accurate classification of human colorectal cancer samples from healthy individuals rapidly (30 min) with clinically relevant specificity. The rapidity, simplicity, and economic cost of this strategy offers a robust platform for gut microbiota analysis.