可扩展性
计算机科学
微流控
多粘菌素
自动化
杆菌
一致性(知识库)
吞吐量
嵌入式系统
微生物学
生物
抗生素
纳米技术
细菌
工程类
人工智能
无线
材料科学
操作系统
机械工程
遗传学
作者
Yi Zhang,Nurhidayah Binte Mohamed Yazid,Pei‐Yun Ho,Xuyang Hu,Songlin Chen,Shawn Vasoo,Pojchanun Kanitthamniyom
标识
DOI:10.1016/j.bios.2023.115099
摘要
Carbapenemase-producing Gram-negative bacilli (CPGNB) is a type of antibiotic-resistant pathogens that often lead to severe clinical consequences. Phenotypic tests, such as Carba NP and blue Carba, are able to detect the resistant mechanism and provide rapid detection of carbapenemase producers to potentially guide personalized therapy. However, these tests require relatively tedious hands-on fluidic operations, and the assay format is ill-suited for automation and parallelization for improved throughput. In this study, we report an automated magnetic digital microfluidics-based platform, known as DropCarba, for parallel CPGNB detection in droplets. It automates the entire carbapenemase testing process and eliminates the need for almost all hands-on fluidic operations, which ensures high consistency and minimizes human errors with a simple “press-and-go” operation. DropCarba was validated with a large number of bacterial isolates of various Enterobacterales species (200 strains in total with 100 CPGNB and 100 non-resistant strains) in a blinded manner, and the results agree well with the benchmark Carba NP. DropCarba, with its full automation, simple operation, reduced reagent consumption, parallelization processing, and scalable manufacturing, will greatly improve CPGNB screening and make a valuable contribution to our fight against antibiotic resistance.
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