State Key Laboratory of Food Nutrition and Safety, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin 300457, P. R. China.
Tianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin 300071, P. R. China.
Anal Chem. 2022 May 17;94(19):6957-6966. doi: 10.1021/acs.analchem.1c05006. Epub 2022 May 2.
The rapid identification and antibiotic susceptibility testing (AST) of bacteria would help us to accurately identify the infectious sources as well as guide the use of antibiotics, which are crucial for improving the survival rate and antimicrobial resistance. Herein, a colorimetric sensor array for bacteria fingerprinting was constructed with d-amino acid (d-AA)-modified gold nanoparticles (AuNPs) as probes (Au/d-AA). Bacteria can metabolize the d-AA, triggering the aggregation of AuNPs. Making use of different metabolic capabilities of bacteria toward different d-AA, eight kinds of bacteria including antibiotic-resistant bacteria and strains of the same bacterial species are successfully differentiated via learning the response patterns. Meanwhile, the sensor array also performs well in quantitative analysis of single bacterium and differentiation of bacteria mixtures. More interestingly, a rapid colorimetric AST approach has been developed based on the Au/d-AA nanoprobes by monitoring the d-AA metabolic activity of bacteria toward various antibiotic treatments. In this regard, the outlined work here would promote clinical practicability and facilitate antibiotic stewardship.
快速鉴定和抗生素药敏试验（AST）有助于我们准确识别感染源，并指导抗生素的使用，这对于提高生存率和抗菌药物耐药性至关重要。在此，我们构建了一个基于 d-氨基酸（d-AA）修饰的金纳米粒子（AuNPs）作为探针（Au/d-AA）的细菌指纹识别比色传感器阵列。细菌可以代谢 d-AA，触发 AuNPs 的聚集。利用细菌对不同 d-AA 的不同代谢能力，通过学习响应模式，成功区分了包括耐药菌和同种细菌株在内的 8 种细菌。同时，该传感器阵列还能很好地进行单细菌的定量分析和细菌混合物的区分。更有趣的是，我们还基于 Au/d-AA 纳米探针，通过监测细菌对各种抗生素处理的 d-AA 代谢活性，开发了一种快速比色 AST 方法。在这方面，本工作将促进临床实用性，并有助于抗生素管理。
