Construction of a Sensing Platform Integrated with a CRISPR/Cas12a-Triggered Colorimetric Strategy for the Quantitative Detection of Meat Freshness

Monitoring microbial determinants, such as <i>Pseudomonas</i> spp., is thus essential for assessing meat freshness. Here, a novel colorimetric sensing platform based on magnetic enzyme-labeled nanoparticles combined with clustered regularly interspaced short palindromic repeats (CRISPR)/Cas12a without nucleic acid molecule preamplification was developed for detecting meat freshness. Under optimal conditions, a high-specificity crRNA was systematically verified, and the colorimetric sensor could accurately quantify <i>Pseudomonas</i> spp. loads with levels ranging from 1 × 10<sup>3.7</sup> to 1 × 10<sup>8.7</sup> CFU/mL, with a color change from colorless to yellow. A smart colorimetric platform, including a self-designed image acquisition device and self-programmed image analysis software, was developed and applied to the integrated determination of meat freshness by using the B-value in the RGB channel. The platform has been applied to both consumers and producers and has been validated by 48 actual samples of chilled meat. These findings provide new insights into the exploration of reliable tools for monitoring meat freshness.

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Publication Details

Journal
Journal of Agricultural and Food Chemistry
Published
2025-09-24
DOI
https://doi.org/10.1021/acs.jafc.5c04851
Citations
3
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
2.02
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article

Construction of a Sensing Platform Integrated with a CRISPR/Cas12a-Triggered Colorimetric Strategy for the Quantitative Detection of Meat Freshness

Changhe Li, Huhu Wang, Yang Dong, Xu Xinglian et al.
3 citations
Journal of Agricultural and Food Chemistry
Advanced Chemical Sensor Technologies
2.02
article

Construction of a Sensing Platform Integrated with a CRISPR/Cas12a-Triggered Colorimetric Strategy for the Quantitative Detection of Meat Freshness

Changhe Li, Huhu Wang, Yang Dong, Xu Xinglian, Yanbin Zhang, Siyu Sun, Junsheng Sheng
article en
3 citations

Abstract

Monitoring microbial determinants, such as <i>Pseudomonas</i> spp., is thus essential for assessing meat freshness. Here, a novel colorimetric sensing platform based on magnetic enzyme-labeled nanoparticles combined with clustered regularly interspaced short palindromic repeats (CRISPR)/Cas12a without nucleic acid molecule preamplification was developed for detecting meat freshness. Under optimal conditions, a high-specificity crRNA was systematically verified, and the colorimetric sensor could accurately quantify <i>Pseudomonas</i> spp. loads with levels ranging from 1 × 10<sup>3.7</sup> to 1 × 10<sup>8.7</sup> CFU/mL, with a color change from colorless to yellow. A smart colorimetric platform, including a self-designed image acquisition device and self-programmed image analysis software, was developed and applied to the integrated determination of meat freshness by using the B-value in the RGB channel. The platform has been applied to both consumers and producers and has been validated by 48 actual samples of chilled meat. These findings provide new insights into the exploration of reliable tools for monitoring meat freshness.

Journal of Agricultural and Food ChemistryVol. 73(40)
Nanjing Agricultural University (CN), Qingdao University of Science and Technology (CN), Department of Food Technology and Quality Control (NP), Qingdao University of Technology (CN)
Openalex Percentile: Top 12%
Advanced Chemical Sensor Technologies
2.02
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Construction of a Sensing Platform Integrated with a CRISPR/Cas12a-Triggered Colorimetric Strategy for the Quantitative Detection of Meat Freshness — Changhe Li, Huhu Wang, et al. · Journal of Agricultural and Food Chemistry (2025) | TGRS Research Map | TGRS