4.8 Article

SERS-based CRISPR/Cas assay on microfluidic paper analytical devices for supersensitive detection of pathogenic bacteria in foods

期刊

BIOSENSORS & BIOELECTRONICS
卷 207, 期 -, 页码 -

出版社

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2022.114167

关键词

CRISPR/Cas; Surface-enhanced Raman scattering; Bacterial detection; Microfluidic paper-based analytical device; Point-of-need; Food analysis

资金

  1. National Natural Science Foundation of China [32072309, 21672161, 81503086, 22174121]
  2. Tianjin Municipal Science and Technology Committee [19JCYBJC27800]
  3. State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science Technology [19PTSYJC00060]

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In this study, a RPA-Cas12a-mu PAD was designed using CRISPR/Cas12a and SERS technology for highly sensitive bacterial detection. The concentration of S.typhi was determined by the aggregation level of SERS nanoprobes, enabling fast and accurate testing of food samples.
Rapid and point-of-need (PON) detection of bacteria is crucial to directly provide rapid and reliable diagnostics information during on-site tests, allowing more room for taking proactive measures. By taking the multifaceted advantages of CRISPR/Cas12a and surface-enhanced Raman scattering (SERS), for the first time, we designed a recombinase polymerase amplification (RPA)-integrated microfluidic paper-based analytical device (mu PAD), coined RPA-Cas12a-mu PAD for supersensitive SERS detection. Single-stranded DNAs were designed to pull down SERS nanoprobes. The amplicons of the invA gene triggered the trans-cleavage of Cas12a, resulting in the indiscriminate shredding of linker ssDNA. Thus, the degree of aggregation of SERS nanoprobes was dependent on the concentration of Salmonella typhimurium (S. typhi), which was determined on a mu PAD and monitored by a Raman spectrometer. The limit of detection for S. typhi was approximately 3-4 CFU/mL for spiked milk and meat samples with a dynamic detection range from 1 to 10(8) CFU/mL. The RPA-Cas12a-mu PAD secured accurate tests for food samples in 45 min. This work expands the reach of CRISPR-based diagnostics (CRISPR-Dx) and provides a novel and robust bacterial PON detection platform.

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