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Author Spotlight: Development of Simplified CRISPR-Based Tests for Rapid Detection of Infectious Diseases
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CRISPR-Based Diagnostics: Challenges and Potential Solutions toward Point-of-Care Applications
Ahmed Ghouneimy1, Ahmed Mahas1, Tin Marsic1
1Laboratory for Genome Engineering and Synthetic Biology, Division of Biological Sciences, 4700 King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia.
ACS Synthetic Biology
|December 12, 2022
Summary
CRISPR diagnostics offer a promising, low-cost alternative to traditional nucleic acid testing for point-of-care (POC) applications. This review explores advancements and challenges in developing these rapid, decentralized diagnostic tools.
Area of Science:
- Molecular diagnostics
- Biotechnology
- Point-of-care testing
Background:
- The COVID-19 pandemic highlighted limitations of centralized diagnostic methods.
- Nucleic acid testing is sensitive and specific but often lab-bound and costly.
- Decentralized Point of Care (POC) solutions are needed for broader accessibility.
Purpose of the Study:
- To review advancements in CRISPR-based diagnostics for POC applications.
- To identify challenges hindering the widespread adoption of CRISPR diagnostics.
- To explore solutions for developing sample-to-answer CRISPR diagnostic systems.
Main Methods:
- Review of current literature on CRISPR-based diagnostic platforms.
- Analysis of challenges including sample processing, stability, and automation.
- Discussion of potential solutions and future directions.
Main Results:
- CRISPR diagnostics show potential for inexpensive, simple, and accessible molecular testing.
- Key challenges include sample preparation, reagent stability, and signal interpretation.
- Advancements are being made in amplification-free detection and process automation.
Conclusions:
- CRISPR technology can democratize disease diagnostics, moving beyond centralized labs.
- Overcoming technical hurdles is crucial for realizing POC and home-use CRISPR diagnostics.
- Further development is needed for robust, automated, sample-to-answer systems.

