A lateral flow strip combined with Cas9 nickase-triggered amplification reaction for dual food-borne pathogen detection. Article

Wang, Luying, Shen, Xingying, Wang, Ting et al. (2020). A lateral flow strip combined with Cas9 nickase-triggered amplification reaction for dual food-borne pathogen detection. . Biosensors and Bioelectronics, 165 112364. 10.1016/j.bios.2020.112364

cited authors

  • Wang, Luying; Shen, Xingying; Wang, Ting; Chen, Pinru; Qi, Nan; Yin, Bin-Cheng; Ye, Bang-Ce

authors

abstract

  • Nucleic acid-based detection methods are accurate and rapid, which are widely-used in food-borne pathogen detection. However, traditional nucleic acid-based detection methods usually rely on special instruments, weakening their practicality for on-site tests in resource-limited locations. In this work, we developed a convenient and affordable method for food-borne pathogen detection based on a lateral flow strip combined with Cas9 nickase-triggered isothermal DNA amplification, which allows instrument-free and dual target detection. The genomic DNAs of two most common foodborne pathogens, Salmonella typhimurium and Escherichia coli, were simultaneously amplified in a one-pot reaction using specific sgRNAs and primers. The amplicons of genomic DNAs were double-labelled by digoxin/biotin and FITC/biotin tags, respectively, and directly visualized on a simple lateral flow strip. Our method exhibited a high specificity and sensitivity with a detection limit of 100 copies for genomic DNAs and 100 CFU/mL for bacteria. We believe that this method has potential to provide a convenient and low-cost point-of-care test for pathogen detection in the food quality surveillance.

publication date

  • October 1, 2020

published in

keywords

  • Biosensing Techniques
  • CRISPR-Cas Systems
  • Cas9 nickase-based amplification reaction
  • DNA Primers
  • Deoxyribonuclease I
  • Dual food-borne pathogen detection
  • Isothermal DNA amplification
  • Lateral flow strip
  • Nucleic Acid Amplification Techniques
  • Sensitivity and Specificity

Location

  • England

Digital Object Identifier (DOI)

start page

  • 112364

volume

  • 165