Bio-MAX Institute, Seoul National University, Seoul 08826, Korea.
Interdisciplinary Program in Bioengineering, Seoul National University, Seoul 08826, Korea.
Biosensors (Basel). 2021 Aug 19;11(8):283. doi: 10.3390/bios11080283.
Since the discovery of antibiotics, the emergence of antibiotic resistance has become a global issue that is threatening society. In the era of antibiotic resistance, finding the proper antibiotics through antibiotic susceptibility testing (AST) is crucial in clinical settings. However, the current clinical process of AST based on the broth microdilution test has limitations on scalability to expand the number of antibiotics that are tested with various concentrations. Here, we used color-coded droplets to expand the multiplexing of AST regarding the kind and concentration of antibiotics. Color type and density differentiate the kind of antibiotics and concentration, respectively. Microscopic images of a large view field contain numbers of droplets with different testing conditions. Image processing analysis detects each droplet, decodes color codes, and measures the bacterial growth in the droplet. Testing ATCC 25922 with ampicillin, gentamicin, and tetracycline shows that the system can provide a robust and scalable platform for multiplexed AST. Furthermore, the system can be applied to various drug testing systems, which require several different testing conditions.
自抗生素发现以来，抗生素耐药性的出现已成为威胁社会的全球性问题。在抗生素耐药时代，通过抗生素药敏试验（AST）找到合适的抗生素在临床环境中至关重要。然而，目前基于肉汤微量稀释试验的 AST 临床流程在可扩展性方面存在限制，无法扩大测试各种浓度抗生素的数量。在这里，我们使用彩色编码液滴来扩展 AST 关于抗生素种类和浓度的多重检测。颜色类型和密度分别区分抗生素的种类和浓度。大视场的显微图像包含许多具有不同测试条件的液滴。图像处理分析检测每个液滴，解码颜色代码，并测量液滴中的细菌生长情况。用氨苄西林、庆大霉素和四环素测试 ATCC 25922 表明，该系统可为多重 AST 提供强大且可扩展的平台。此外，该系统可应用于需要几种不同测试条件的各种药物测试系统。
