CRISPR/Cas13a-based RNA analysis for non-enrichment Listeria monocytogenes in food

Listeria monocytogenes (LM) is an opportunistic and invasive Gram-positive bacterium. They can grow in foods that are closely related to humans. However, the development of rapid and sensitive methods for detection of foodborne pathogenic bacteria remains a challenging and remarkable issue for ensuring food safety. Therefore, we developed and optimized a rapid SHERLOCK-based (SHELOCK-LM) assay for detection of L. monocytogenes and conducted an analysis of pre-enrichment and non-enrichment samples for 550 representative samples. React at 37–42 °C for 5–40 min, then the target of 1.5 fg can be detected. Its detect performance was simultaneous parallel comparison with national standard plate counting and RPA assay. Compared with plate counting, SHERLOCK-LM and RPA require less sample volume and shorter detection time. SHERLOCK-LM showed that it has higher overall detection performance than RPA for complex food matrices. It offered great development potential as a novel detection technology for the detection of L. monocytogenes in food.

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Publication Details

Journal
Animals and zoonoses.
Published
2024-12-30
DOI
https://doi.org/10.1016/j.azn.2024.12.002
Citations
2
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.47

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article

CRISPR/Cas13a-based RNA analysis for non-enrichment Listeria monocytogenes in food

Honglin Ren, Xueyu Hu, Pan Hu, Yu Zheng et al.
2 citations
Animals and zoonoses.
CRISPR and Genetic Engineering
0.47
article

CRISPR/Cas13a-based RNA analysis for non-enrichment Listeria monocytogenes in food

Honglin Ren, Xueyu Hu, Pan Hu, Yu Zheng, Shiying Lu, Zengshan Liu, Ruoran Shi, Qiang Zhao, Xiaoshi Zhou, Chang Jiang, Hanxiao Li, Lixiong Peng
article en
2 citations

Abstract

Listeria monocytogenes (LM) is an opportunistic and invasive Gram-positive bacterium. They can grow in foods that are closely related to humans. However, the development of rapid and sensitive methods for detection of foodborne pathogenic bacteria remains a challenging and remarkable issue for ensuring food safety. Therefore, we developed and optimized a rapid SHERLOCK-based (SHELOCK-LM) assay for detection of L. monocytogenes and conducted an analysis of pre-enrichment and non-enrichment samples for 550 representative samples. React at 37–42 °C for 5–40 min, then the target of 1.5 fg can be detected. Its detect performance was simultaneous parallel comparison with national standard plate counting and RPA assay. Compared with plate counting, SHERLOCK-LM and RPA require less sample volume and shorter detection time. SHERLOCK-LM showed that it has higher overall detection performance than RPA for complex food matrices. It offered great development potential as a novel detection technology for the detection of L. monocytogenes in food.

Animals and zoonoses.Vol. 1(2)
Jilin University (CN), Jilin Academy of Agricultural Sciences (CN)
Natural Science Foundation of Jilin Province, General Administration of Customs, National Key Research and Development Program of China
Zero hunger
Openalex Percentile: Top 33%
CRISPR and Genetic Engineering
0.47
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CRISPR/Cas13a-based RNA analysis for non-enrichment Listeria monocytogenes in food — Honglin Ren, Xueyu Hu, et al. · Animals and zoonoses. (2024) | TGRS Research Map | TGRS