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  3. Recent Advances In The Crispr/cas System-based Visual Detection Method.
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  3. Recent Advances In The Crispr/cas System-based Visual Detection Method.

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Recent advances in the CRISPR/Cas system-based visual detection method.

Jinrong Chen1,2, Hang Su2, June Hyun Kim1

  • 1Department of Biotechnology, College of Engineering, The University of Suwon, Hwaseong 18323, Korea. liurcau@suwon.ac.kr.

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|September 30, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Clustered regularly interspaced short palindromic repeats (CRISPR)/associated nucleases (Cas) offer rapid, sensitive visual detection for environmental threats. This review explores CRISPR-based diagnostic methods, focusing on visual readouts for point-of-care applications.

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Area of Science:

  • Molecular Diagnostics
  • Biotechnology
  • Environmental Health

Background:

  • Infectious pathogens, toxins, and heavy metals threaten global health and economies.
  • Rapid, sensitive, and convenient visual molecular detection methods are urgently needed.
  • CRISPR/Cas systems have emerged as a powerful tool for molecular diagnostics.

Purpose of the Study:

  • To review recent developments in CRISPR/Cas-based visual detection methods.
  • To analyze the advantages and disadvantages of different CRISPR/Cas effectors for diagnostics.
  • To discuss challenges and future prospects in CRISPR/Cas visual detection.

Main Methods:

  • Review of CRISPR/Cas effectors and their diagnostic principles.
  • Focus on visual readout signals in point-of-care testing (POCT).
  • Analysis of colorimetric, fluorescence, and lateral flow assays.

    • Main Results:

    • CRISPR/Cas technology enables diverse visual detection strategies.
    • Different CRISPR/Cas systems offer varying diagnostic capabilities.
    • Visual readouts are crucial for accessible point-of-care diagnostics.

    Conclusions:

    • CRISPR/Cas-based visual detection holds significant promise for rapid diagnostics.
    • Further research is needed to overcome current challenges and expand applications.
    • These methods can address global health and environmental monitoring needs.