Wang Ruisheng, Erickson David
Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York 14853, United States.
Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, New York 14853, United States.
ACS Omega. 2021 Jan 5;6(2):1410-1414. doi: 10.1021/acsomega.0c05060. eCollection 2021 Jan 19.
Antimicrobial resistance is increasingly recognized as a major threat to global health. To combat this emerging threat, accessible antimicrobial susceptibility testing should be prioritized as a key component of stewardship efforts. In this work, we developed a user-friendly paper-based test that provides visual readout of bacterial antibiotic susceptibility in a semiquantitative format. We leveraged on-chip paper microfluidics to enable multiplexed testing of multiple antibiotic dilutions with a single sample addition step, replicating the functionality of traditional broth-dilution-based susceptibility testing in a simplified format. Our paper-based test offers several advantages including low sample volume requirement and lack of need for humidity control during incubation, an innovation that addresses a key limitation of conventional paper-microfluidic devices. Using several clinically relevant bacterial organisms and antimicrobial agents, we demonstrate that our colorimetric readout approach provides a strong predictor of susceptibility category.
抗菌药物耐药性日益被视为对全球健康的重大威胁。为应对这一新兴威胁，应优先进行可及的抗菌药物敏感性测试，将其作为管理工作的关键组成部分。在这项工作中，我们开发了一种用户友好的纸质测试方法，以半定量形式直观显示细菌对抗生素的敏感性。我们利用芯片上的纸质微流控技术，通过单次添加样品实现对多种抗生素稀释液的多重测试，以简化的形式复制了传统基于肉汤稀释的敏感性测试功能。我们的纸质测试具有几个优点，包括所需样品体积小以及孵育过程中无需湿度控制，这一创新解决了传统纸质微流控设备的一个关键限制。使用几种临床相关的细菌菌株和抗菌药物，我们证明我们的比色读出方法能够有力地预测敏感性类别。
