细菌
肠道菌群
化学
抗菌剂
致病菌
传感器阵列
微生物学
计算生物学
生物
生物化学
计算机科学
机器学习
遗传学
作者
Zhihui Liu,Xiaohua Zhu,Qiujun Lu,Meiling Liu,Haitao Li,Youyu Zhang,Yang Liu,Shouzhuo Yao
标识
DOI:10.1021/acs.analchem.2c04997
摘要
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 Ti3C2 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.
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