4.7 Article

Development of a CRISPR/Cas9-integrated lateral flow strip for rapid and accurate detection of Salmonella

期刊

FOOD CONTROL
卷 142, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.foodcont.2022.109203

关键词

CRISPR; Cas9; Polymerase chain reaction; Lateral flow strip; Salmonella; milk; Foodborne pathogens; Primer dimer

资金

  1. University Natural Science Research Project of Anhui Province [KJ2021A0221]
  2. National Natural Science Foundation of China [32001006]
  3. Scientific Research of BSKY from Anhui Medical University [XJ201930]

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The researchers developed a Cas9-integrated lateral flow strip (Cas9-LFS) for rapid and accurate detection of Salmonella. The Cas9-LFS uses specific single-guide RNA (sgRNA) to recognize FITC-labelled amplicons, resulting in a visible color change on the strip. Compared to conventional lateral flow strips, Cas9-LFS is more effective in eliminating false-positives caused by primer dimers.
Rapid and accurate detection of foodborne pathogens is crucial for safeguarding human health. Herein, we constructed a clustered regularly interspaced short palindromic repeat (CRISPR)/Cas9-integrated lateral flow strip (Cas9-LFS) for detecting Salmonella. A primer set targeting the fimA gene of Salmonella spp. was used to amplify all Salmonella serovars. After extraction, the genomic DNA of Salmonella was amplified with unlabelled forward primer and FITC-labelled reverse primer, thus producing numerous FITC-labelled amplicons that can be precisely recognized by Cas9 complexed with a specific single-guide RNA (sgRNA). When loaded on the LFS, the complexes of amplicons and Cas9/sgRNA can act as bonds to anchor gold nanoparticles to the test line, resulting in a visible color change. This design makes Cas9-LFS more powerful than conventional LFS in eliminating false -positives caused by primer dimers. By using Salmonella Typhimurium as a reference strain, Cas9-LFS achieved a limit of detection as low as 102 CFU/mL and showed good accuracy in distinguishing Salmonella-contaminated milk. We expect this unique strategy to open a new window for building versatile pathogen detection tools.

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