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Genetic research

Rapid Detection of Antibiotic-Resistant Genes Using a CRISPR/Cas12a-Based Paper Sensor

Strategic Insights

— 1 min read

Researchers at Zhengzhou University have developed a novel CRISPR/Cas12a-based colorimetric paper sensor for the rapid detection of antibiotic-resistant genes in bacterial pathogens. According to the study, this paper sensor provides rapid and low-cost detection with femtomolar-level sensitivity, requiring less than 90 minutes of assay time. The sensor's design is highly programmable, enabling quick responses to new global epidemics. The technology has significant potential for combating global health crises, particularly in combating antibiotic-resistant bacteria.

Key Takeaways:

  • The CRISPR/Cas12a-based colorimetric paper sensor allows for the rapid detection of antibiotic-resistant genes in bacterial pathogens.
  • The sensor has a high sensitivity of femtomolar-level, making it a powerful tool for detecting small amounts of these genes.
  • The assay time is less than 90 minutes, making it a fast and efficient method for detection.
  • The sensor's design is highly programmable, enabling quick responses to new global epidemics.
  • The technology has significant potential for combating global health crises, particularly in combating antibiotic-resistant bacteria.
  • The paper sensor adheres strongly to the surface, creating a highly bioactive platform for DNAzyme detection.
  • The sensor is capable of detecting the antibiotic-resistant gene, NDM-1, with high sensitivity and specificity.

Statistics:

  • The sensor's sensitivity is capable of detecting femtomolar-level amounts of antibiotic-resistant genes.
  • The assay time is less than 90 minutes, making it a fast and efficient method for detection.
  • The sensor's design is highly programmable, enabling quick responses to new global epidemics.

Sources:

  • Detection of antibiotic-resistance genes in bacterial pathogens using a Cas12a/3D DNAzyme colorimetric paper sensor. Fundamental Research, 2025(5):2025-2033.
  • newsRx. Studies from Zhengzhou University Update Current Data on Engineering (Detection of antibiotic-resistance genes in bacterial pathogens using a Cas12a/3D DNAzyme colorimetric paper sensor). Life Science Weekly, 2025; p 7436.

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