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Related Experiment Video

Updated: Sep 1, 2025

Fully Automated Centrifugal Microfluidic Device for Ultrasensitive Protein Detection from Whole Blood
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Development of a Handheld Nano-centrifugal Device for Visual Virus Detection.

Zi-Rong Bi1,2, Meng-Lu Hu2, Yong-Zhong Jiang3

  • 1South China Normal University-Panyu Central Hospital Joint Laboratory of Basic and Translational Medical Research, Guangzhou Panyu Central Hospital, Guangzhou, 511400 China.

Journal of Analysis and Testing
|August 15, 2022
PubMed
Summary

A novel handheld nano-centrifugal device improves gold nanoparticle assays for detecting low-concentration targets. This Hand-CRISPR platform offers accurate, field-deployable diagnostics for viruses like EBV and SARS-CoV-2.

Keywords:
CRISPR/Cas12aCentrifugal deviceClinical diagnosticsGold nanoparticlesNucleic acids assay

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Area of Science:

  • Nanotechnology
  • Biotechnology
  • Diagnostics

Background:

  • Gold nanoparticles (AuNPs) colorimetric assays are used in bioanalysis.
  • Current assays struggle with low-concentration targets due to faint color changes.

Purpose of the Study:

  • To develop an improved method for detecting low-concentration targets using AuNPs.
  • To create a field-deployable diagnostic platform for nucleic acid detection.

Main Methods:

  • Developed a handheld nano-centrifugal device to separate crosslinked and non-crosslinked AuNPs.
  • Integrated the device with the CRISPR/Cas12a nucleic acid recognition system.
  • Validated the platform for detecting Epstein-Barr virus (EBV) and SARS-CoV-2.

Main Results:

  • The nano-centrifugal device achieved over 6000 r/min within 10 s.
  • The Hand-CRISPR platform demonstrated high sensitivity and accuracy.
  • Achieved 100% consistency with reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR) results for EBV and SARS-CoV-2 detection.

Conclusions:

  • The Hand-CRISPR platform shows great promise for point-of-care testing (POCT).
  • It can serve as a valuable supplement to standard nucleic acid testing in resource-limited settings.