A 3D-printed microfluidic gradient concentration chip for rapid antibiotic-susceptibility testing

被引:0
|
作者
Huilin Zhang
Yuan Yao
Yue Hui
Lu Zhang
Nanjia Zhou
Feng Ju
机构
[1] Zhejiang University,College of Environmental & Resource Sciences
[2] Westlake University,Key Laboratory of Coastal Environment and Resources of Zhejiang Province, School of Engineering
[3] Westlake Institute for Advanced Study,Institute of Advanced Technology
[4] Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province,undefined
来源
Bio-Design and Manufacturing | 2022年 / 5卷
关键词
Microfluidics; Gradient concentration chip; Digital light processing; Antibiotic-susceptibility test; Bacteria;
D O I
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中图分类号
学科分类号
摘要
The rise of antibiotic resistance as one of the most serious global public health threats has necessitated the timely clinical diagnosis and precise treatment of deadly bacterial infections. To identify which types and doses of antibiotics remain effective for fighting against multi-drug-resistant pathogens, the development of rapid and accurate antibiotic-susceptibility testing (AST) is of primary importance. Conventional methods for AST in well-plate formats with disk diffusion or broth dilution are both labor-intensive and operationally tedious. The microfluidic chip provides a versatile tool for evaluating bacterial AST and resistant behaviors. In this paper, we develop an operationally simple, 3D-printed microfluidic chip for AST which automatically deploys antibiotic concentration gradients and fluorescence intensity-based reporting to ideally reduce the report time for AST to within 5 h. By harnessing a commercially available, digital light processing (DLP) 3D printing method that offers a rapid, high-precision microfluidic chip-manufacturing capability, we design and realize the accurate generation of on-chip antibiotic concentration gradients based on flow resistance and diffusion mechanisms. We further demonstrate the employment of the microfluidic chip for the AST of E. coli to representative clinical antibiotics of three classes: ampicillin, chloramphenicol, and kanamycin. The determined minimum inhibitory concentration values are comparable to those reported by conventional well-plate methods. Our proposed method demonstrates a promising approach for realizing robust, convenient, and automatable AST of clinical bacterial pathogens.
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页码:210 / 219
页数:9
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