A Colorimetric Biosensor Integrating Rotifer-Mimicking Magnetic Separation with RAA/CRISPR-Cas12a for Rapid and Sensitive Detection of <i>Salmonella</i>

Efficient detection of foodborne bacteria is crucial for ensuring food safety, yet current methods often fall short in balancing speed, accuracy, sensitivity, and cost. This study presents an integrated biosensing platform for the rapid and sensitive detection of <i>Salmonella</i> in large-volume food samples. The platform incorporates a Rotifer-Mimicking Magnetic Separator (RMMS) that enhances the sample pretreatment by effectively mixing and isolating the bacteria from the sample. Coupled with this, the colorimetric biosensor utilizes a streamlined one-pot system that combines Recombinase Aided Amplification (RAA), betaine, and CRISPR-Cas12a to enable efficient pathogen detection. Initially, phenylboronic acid-modified magnetic beads (PBA-MBs) capture <i>Salmonella</i>, forming bacteria-PBA-MB complexes, which are then isolated using the RMMS. Target DNA amplicons activate ribonucleoprotein complexes, and Au@PtNPs-MBs with linker single DNAs are cleaved to release Au@PtNPs. The Au@PtNPs catalyze the H<sub>2</sub>O<sub>2</sub>-3,3',5,5'-tetramethylbenzidine, producing a visible blue color that indicates <i>Salmonella</i> concentration. This biosensor successfully detects <i>Salmonella</i> in 40 mL spiked milk samples within 75 min, achieving a detection limit of 89 CFU/mL. This work offers a simple, sensitive, low-cost detection method with potential applications in on-site testing, significantly enhancing food safety monitoring.

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Publication Details

Journal
ACS Sensors
Published
2025-05-08
DOI
https://doi.org/10.1021/acssensors.4c03356
Citations
7
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
5.64

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article

A Colorimetric Biosensor Integrating Rotifer-Mimicking Magnetic Separation with RAA/CRISPR-Cas12a for Rapid and Sensitive Detection of Salmonella

Jianhan Lin, Yachun Wang, Xinge Xi, Jing Yuan et al.
7 citations
ACS Sensors
CRISPR and Genetic Engineering
5.64
article

A Colorimetric Biosensor Integrating Rotifer-Mimicking Magnetic Separation with RAA/CRISPR-Cas12a for Rapid and Sensitive Detection of Salmonella

Jianhan Lin, Yachun Wang, Xinge Xi, Jing Yuan, Shangyi Wu, Yanbin Li, Lei Wang
article en
7 citations

Abstract

Efficient detection of foodborne bacteria is crucial for ensuring food safety, yet current methods often fall short in balancing speed, accuracy, sensitivity, and cost. This study presents an integrated biosensing platform for the rapid and sensitive detection of <i>Salmonella</i> in large-volume food samples. The platform incorporates a Rotifer-Mimicking Magnetic Separator (RMMS) that enhances the sample pretreatment by effectively mixing and isolating the bacteria from the sample. Coupled with this, the colorimetric biosensor utilizes a streamlined one-pot system that combines Recombinase Aided Amplification (RAA), betaine, and CRISPR-Cas12a to enable efficient pathogen detection. Initially, phenylboronic acid-modified magnetic beads (PBA-MBs) capture <i>Salmonella</i>, forming bacteria-PBA-MB complexes, which are then isolated using the RMMS. Target DNA amplicons activate ribonucleoprotein complexes, and Au@PtNPs-MBs with linker single DNAs are cleaved to release Au@PtNPs. The Au@PtNPs catalyze the H<sub>2</sub>O<sub>2</sub>-3,3',5,5'-tetramethylbenzidine, producing a visible blue color that indicates <i>Salmonella</i> concentration. This biosensor successfully detects <i>Salmonella</i> in 40 mL spiked milk samples within 75 min, achieving a detection limit of 89 CFU/mL. This work offers a simple, sensitive, low-cost detection method with potential applications in on-site testing, significantly enhancing food safety monitoring.

ACS SensorsVol. 10(8)
Ministry of Agriculture and Rural Affairs (CN), China Agricultural University (CN), University of Arkansas at Fayetteville (US)
National Natural Science Foundation of China, China Agricultural University
Openalex Percentile: Top 4%
CRISPR and Genetic Engineering
5.64
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