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Rapid antimicrobial susceptibility tests performed by self-diluting microfluidic chips for drug resistance studies and point-of-care diagnostics

  • Jenny Ka-Hei Wat
  • , Miao Xu
  • , Lang Nan
  • , Haisong Lin
  • , Kelvin Kai-Wang To
  • , Ho Cheung Shum*
  • , Sammer Ul Hassan*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

148 Downloads (CityUHK Scholars)

Abstract

Antimicrobial resistance (AMR) is a global public health issue. Rapid and accurate antimicrobial susceptibility tests (AST) on bacteria isolates would facilitate appropriate choice of antibiotics, in which patients receive appropriate treatment and the emergence of multidrug-resistant organisms could be prevented simultaneously. In this study, we have developed a microfluidic device named Self Dilution for Faster Antimicrobial Susceptibility Testing (SDFAST). This SlipChip-based device consists of two layers of microchips, allowing injection of bacterial suspension and antibiotics by simply connecting the two chips. By slipping one microchip against another in a single press of the microchip, the antibiotics can be diluted within seconds and be well mixed with bacterial samples. By combining SDFAST with a water-soluble tetrazolium salt-8 (WST-8) assay, a range of clinically prevalent bacteria, including Acinetobacter baumannii, Escherichia coli, Klebsiella pneumoniae, and Staphylococci species, were tested under various antibiotics. Color analysis after 4–6 h of incubation showed an abrupt change in the WST-8 color of certain wells with diluted antibiotics, proving that instrument-free and immediate identification of minimum inhibitory concentration (MIC) could be achieved. The testing on 51 clinical isolates had an agreement of 92%, proving the accuracy of our method. These results validated its advantages of simple operation, rapid testing, and low sample consumption comparing to conventional methods, which require 16–24 h of incubation. Therefore, our method shows great potential to be further developed into a medical instrument for automated medical testing and point-of-care diagnosis. © The Author(s) 2025
Original languageEnglish
Article number110
JournalMicrosystems & Nanoengineering
Volume11
Online published28 May 2025
DOIs
Publication statusPublished - 2025

Funding

We would like to thank Department of Microbiology, Queen Mary Hospital, Hong Kong for preparing clinical isolates and performing comparative testing. We would also like to acknowledge Dr. Sihan Liu for the preparation of the schematic diagram. This work was supported by the Health@InnoHK program of the Innovation and Technology Commission of the Hong Kong SAR Government. The work was also supported by The University of Hong Kong (202009185087), Collaborative Research Fund (C7165-20GF) and General Research Fund (17307919 and 17303123) of the Research Grants Council of Hong Kong, Hong Kong.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/

RGC Funding Information

  • RGC-funded

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