journal article·2023-06-14

Superhydrophobic Rotation-Chip for Computer-Vision Identification of Drug-Resistant Bacteria

Jiacheng He, Ruonan Peng, Henry Yuqing, Rafi Karim, Juhong Chen, Guoyu Lu, Ke Du

ACS Applied Materials & Interfaces· Volume 15· Issue 23
Publisher page

Abstract

The transport, distribution, and mixing of microfluidics often require additional instruments, such as pumps and valves, which are not feasible when operated in point-of-care (POC) settings. Here, we present a simple microfluidic pathogen detection system known as Rotation-Chip that transfers the reagents between wells by manually rotating two concentric layers without using external instruments. The Rotation-Chip is fabricated by a simple computer numerical control (CNC) machining process and is capable of carrying out 60 multiplexed reactions with a simple 30 or 60° rotation. Leveraging superhydrophobic coating, a high fluid transport efficiency of 92.78% is achieved without observable leaking. Integrated with an intracellular fluorescence assay, an on-chip detection limit of 1.8 × 10 6 CFU/mL is achieved for ampicillin-resistant Escherichia coli (E. coli), which is similar to our off-chip results. We also develop a computer vision method to automatically distinguish positive and negative samples on the chip, showing 100% accuracy. Our Rotation-Chip is simple, low-cost, high-throughput, and can display test results with a single chip image, making it ideal for various multiplexing POC applications in resource-limited settings.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Biosensors and Analytical Detection · Microfluidic and Capillary Electrophoresis Applications · Microfluidic and Bio-sensing Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Mechanical Engineering, Rochester Institute of Technology, Rochester, New York 14623, United States

Department of Chemical and Environmental Engineering, University of California, Riverside, 900 University Avenue, Riverside, California 92521, United States

Department of Manufacturing and Mechanical Engineering Technology, Rochester Institute of Technology, Rochester, New York 14623, United States

Department of Biomedical Engineering, Rochester Institute of Technology, Rochester, New York 14623, United States

Department of Biological Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States

School of Electrical and Computer Engineering, University of Georgia, Athens, Georgia 30602, United States

Funding

National Institute of Food and Agriculture

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