Development and optimisation of a rapid and sensitive detection platform for <i>Escherichia coli</i> O157:H7 using RPA- <i>Pf</i> Ago

Abstract Escherichia coli O157:H7 (E. coli O157:H7) is a significant foodborne pathogen that causes severe illnesses worldwide. In this study, a novel detection system combining recombinase polymerase amplification and Pyrococcus furiosus Argonaute (PfAgo) was developed for the rapid and sensitive identification of the conserved rfbE gene. The system integrates dual-fluorescence probes labelled with 6-carboxyfluorescein (FAM) and X-rhodamine (ROX) for parallel signal verification, which enhances detection reliability and minimises the risk of false positives. The optimised system achieved a limit of detection of 6.14 × 101 copies/μl, 100% specificity and repeatability, with a coefficient of variation below 10%. Validation using artificially contaminated milk and bottled water samples demonstrated complete agreement with the results of polymerase chain reaction, yielding 100% accuracy. With high sensitivity and specificity, this system enables rapid, accurate point-of-care screening for food safety and clinical diagnostics, offering broad potential in public health surveillance and foodborne pathogen control.

Authors

Institutions

Publication Details

Journal
International Journal of Food Science & Technology
Published
2025-12-29
DOI
https://doi.org/10.1093/ijfood/vvag003
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and optimisation of a rapid and sensitive detection platform for Escherichia coli O157:H7 using RPA- Pf Ago

Yicun Chen, L. Chen, Chengsong Xie, Yaqun Liu et al.
International Journal of Food Science & Technology
Biosensors and Analytical Detection
article

Development and optimisation of a rapid and sensitive detection platform for Escherichia coli O157:H7 using RPA- Pf Ago

Yicun Chen, L. Chen, Chengsong Xie, Yaqun Liu, Peikui Yang, Jinkun Han, Zhiruo Wan, Xin Cai, Zhenxia Zhang
article en

Abstract

Abstract Escherichia coli O157:H7 (E. coli O157:H7) is a significant foodborne pathogen that causes severe illnesses worldwide. In this study, a novel detection system combining recombinase polymerase amplification and Pyrococcus furiosus Argonaute (PfAgo) was developed for the rapid and sensitive identification of the conserved rfbE gene. The system integrates dual-fluorescence probes labelled with 6-carboxyfluorescein (FAM) and X-rhodamine (ROX) for parallel signal verification, which enhances detection reliability and minimises the risk of false positives. The optimised system achieved a limit of detection of 6.14 × 101 copies/μl, 100% specificity and repeatability, with a coefficient of variation below 10%. Validation using artificially contaminated milk and bottled water samples demonstrated complete agreement with the results of polymerase chain reaction, yielding 100% accuracy. With high sensitivity and specificity, this system enables rapid, accurate point-of-care screening for food safety and clinical diagnostics, offering broad potential in public health surveillance and foodborne pathogen control.

International Journal of Food Science & TechnologyVol. 61(1)
Shantou University (CN), Zhengzhou University (CN), Anshan Normal University (CN), Taiho Pharmaceutical (Japan) (JP), Shantou University Medical College (CN), Affiliated Hospital of Youjiang Medical University for Nationalities (CN), Hanshan Normal University (CN)
Openalex Percentile: Top 40%
Biosensors and Analytical Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.