抗生素
化学发光
尿
微生物学
肺炎克雷伯菌
泌尿系统
细菌
诺氟沙星
大肠杆菌
医学
生物
化学
色谱法
环丙沙星
内科学
生物化学
遗传学
基因
作者
Quan‐Quan Zhuang,Lin-Yan Lu,Yu‐Ling Lin,Xiaoli Yan,Qingqing Chen,Yancheng Jiang,Lei Hong,Hao‐Hua Deng,Wei Chen
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2025-03-07
标识
DOI:10.1021/acssensors.4c03503
摘要
Traditional antimicrobial-susceptibility testing methodologies, including the isolation and culture of bacteria from urine samples and antibiotic-susceptibility test (AST), are expensive and time-consuming. Therefore, a rapid, user-friendly phenotypic AST is urgently needed to guide treatment strategies. Several novel phenotypic AST platforms based on the physiological characteristics of bacteria obtained directly from clinical urine samples have been proposed as promising methods as rapid AST and appropriate antibiotic treatments. However, inaccurate bacterial quantification can lead to false results when high-accuracy quantitative assays are required using these procedures. Coupling the expression of catalase by pathogens with a chemiluminescence-based analytical method enables a convenient and low-cost operation. Herein, we demonstrate a rapid self-calibrating chemiluminescence sensor that can measure bacterial viability through the variation in catalase activity and its response to hydrogen peroxide after treatment with antibiotics. This rapid nanosensor platform can be utilized to determine the antibiotic susceptibility of uropathogenic Escherichia coli and Klebsiella pneumoniae, which account for 80% of all urinary tract infections, directly from clinical urine samples within 40 min without bacterial quantification. The proposed ultrafast and highly accurate AST can enable the precise guidance of antibiotic prescriptions and shorten the time required for clinical decision-making.
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