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CRISPR-Cas systems mediated biosensing and applications in food safety detection.
Liu, Jianghua; Wu, Di; Chen, Jiahui; Jia, Shijie; Chen, Jian; Wu, Yongning; Li, Guoliang.
Affiliation
  • Liu J; School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China.
  • Wu D; Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast, UK.
  • Chen J; School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China.
  • Jia S; School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China.
  • Chen J; School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China.
  • Wu Y; School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China.
  • Li G; NHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing, China.
Crit Rev Food Sci Nutr ; : 1-26, 2022 Oct 11.
Article de En | MEDLINE | ID: mdl-36218189
ABSTRACT
Food safety, closely related to economic development of food industry and public health, has become a global concern and gained increasing attention worldwide. Effective detection technology is of great importance to guarantee food safety. Although several classical detection methods have been developed, they have some limitations in portability, selectivity, and sensitivity. The emerging CRISPR-Cas systems, uniquely integrating target recognition specificity, signal transduction, and efficient signal amplification abilities, possess superior specificity and sensitivity, showing huge potential to address aforementioned challenges and develop next-generation techniques for food safety detection. In this review, we focus on recent progress of CRISPR-Cas mediated biosensing and their applications in food safety monitoring. The properties and principles of commonly used CRISPR-Cas systems are highlighted. Notably, the frequently coupled nucleic acid amplification strategies to enhance their selectivity and sensitivity, especially isothermal amplification methods, as well as various signal output modes are also systematically summarized. Meanwhile, the application of CRISPR-Cas systems-based biosensors in food safety detection including foodborne virus, foodborne bacteria, food fraud, genetically modified organisms (GMOs), toxins, heavy metal ions, antibiotic residues, and pesticide residues is comprehensively described. Furthermore, the current challenges and future prospects in this field are tentatively discussed.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Diagnostic_studies Langue: En Journal: Crit Rev Food Sci Nutr Sujet du journal: CIENCIAS DA NUTRICAO Année: 2022 Type de document: Article Pays d'affiliation: Chine

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Diagnostic_studies Langue: En Journal: Crit Rev Food Sci Nutr Sujet du journal: CIENCIAS DA NUTRICAO Année: 2022 Type de document: Article Pays d'affiliation: Chine