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A Dual-mode platform for the rapid detection of Escherichia coli O157:H7 based on CRISPR/Cas12a and RPA.

Authors :
Luo, Jiawei
Xu, Danhong
Wang, Jinbin
Liu, Hua
Li, You
Zhang, Yan
Zeng, Haijuan
Deng, Bo
Liu, Xiaofeng
Source :
Analytical & Bioanalytical Chemistry. Jun2024, Vol. 416 Issue 15, p3509-3518. 10p.
Publication Year :
2024

Abstract

Escherichia coli O157:H7 (E. coli O157:H7) is a foodborne pathogenic microorganism that is commonly found in the environment and poses a significant threat to human health, public safety, and economic stability worldwide. Thus, early detection is essential for E. coli O157:H7 control. In recent years, a series of E. coli O157:H7 detection methods have been developed, but the sensitivity and portability of the methods still need improvement. Therefore, in this study, a rapid and efficient testing platform based on the CRISPR/Cas12a cleavage reaction was constructed. Through the integration of recombinant polymerase amplification and lateral flow chromatography, we established a dual-interpretation-mode detection platform based on CRISPR/Cas12a-derived fluorescence and lateral flow chromatography for the detection of E. coli O157:H7. For the fluorescence detection method, the limits of detection (LODs) of genomic DNA and E. coli O157:H7 were 1.8 fg/µL and 2.4 CFU/mL, respectively, within 40 min. Conversely, for the lateral flow detection method, LODs of 1.8 fg/µL and 2.4 × 102 CFU/mL were achieved for genomic DNA and E. coli O157:H7, respectively, within 45 min. This detection strategy offered higher sensitivity and lower equipment requirements than industry standards. In conclusion, the established platform showed excellent specificity and strong universality. Modifying the target gene and its primers can broaden the platform's applicability to detect various other foodborne pathogens. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16182642
Volume :
416
Issue :
15
Database :
Academic Search Index
Journal :
Analytical & Bioanalytical Chemistry
Publication Type :
Academic Journal
Accession number :
177714245
Full Text :
https://doi.org/10.1007/s00216-024-05301-0