化学
头孢菌素
清脆的
计算生物学
微生物学
抗生素
基因
生物化学
生物
作者
Ziyuan Zhao,Yamei Li,Leshan Xiu,Feng Wang,Junping Peng
标识
DOI:10.1021/acs.analchem.5c01400
摘要
identification and Sanger sequencing for FC428 strain tracking. For predicting decreased-susceptibility strains with A501 mutations, MIRCA achieved 98.33% agreement with Sanger sequencing. Simulated tests demonstrated 100% consistency between MIRCA results in centrifuge tubes and microfluidic chips. This robust and cost-effective approach addresses current challenges in AMR surveillance. Its integration with microfluidic chip offers an affordable and user-friendly diagnostic solution, making it highly valuable for timely infectious disease diagnosis and resistance monitoring. It also holds significant potential for point-of-care testing in resource-limited areas.
科研通智能强力驱动
Strongly Powered by AbleSci AI