Pneumatic nano-sieve for CRISPR-based detection of drug-resistant bacteria

Ruonan Peng1, Xinye Chen1,2, Fengjun Xu1

  • 1Department of Chemical and Environmental Engineering, University of California, Riverside, 900 University Ave, Riverside, CA 92507, USA. ke.du@ucr.edu.

Nanoscale Horizons
|October 25, 2023
PubMed

Insights

A new nano-sieve device rapidly purifies methicillin-resistant Staphylococcus aureus (MRSA) from plasma. This innovation enables faster detection, improving patient care and combating antibiotic resistance, especially in resource-limited settings.

Area of Science:

  • Biomedical Engineering
  • Microfluidics
  • Infectious Disease Diagnostics

Background:

  • Antibiotic-resistant bacterial infections, like MRSA, are a major global health threat.
  • Rapid and accurate MRSA detection is vital for effective treatment and infection control.
  • Current diagnostic methods can be time-consuming and require specialized equipment.

Purpose of the Study:

  • To develop a miniaturized device for efficient MRSA purification from human plasma.
  • To integrate MRSA purification with a rapid detection system for point-of-care diagnostics.
  • To establish a sensitive and specific method for MRSA detection.

Main Methods:

  • A miniaturized nano-sieve device with a pneumatically-regulated chamber was designed.
  • Packed magnetic beads were used as a filter within the nano-sieve.
  • The device was integrated with recombinase polymerase amplification (RPA) and CRISPR-Cas detection.

Main Results:

  • Achieved an on-chip MRSA concentration factor of approximately 15-fold.
  • Demonstrated an on-chip limit of detection (LOD) of approximately 100 CFU mL⁻¹.
  • The developed system is rapid, precise, and centrifuge-free.

Conclusions:

  • The nano-sieve device enables efficient MRSA purification and concentration from plasma.
  • The integrated system offers a sensitive and rapid diagnostic solution for MRSA.
  • This technology has significant potential for point-of-care diagnostics, particularly in resource-limited settings.