Immuno- and nucleic acid-based current technique for Salmonella detection in food
| Autor: | Li-Qiong Guo, Long-Zhen Lin, Hyun-Gyun Yuk, Jun-Fang Lin, Qianwang Zheng |
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| Rok vydání: | 2020 |
| Předmět: |
0303 health sciences
Salmonella 030309 nutrition & dietetics 04 agricultural and veterinary sciences General Chemistry Computational biology Biology medicine.disease_cause 040401 food science Biochemistry Rapid detection Molecular science Industrial and Manufacturing Engineering 03 medical and health sciences 0404 agricultural biotechnology medicine Nucleic acid Food Science Biotechnology |
| Zdroj: | European Food Research and Technology. 246:373-395 |
| ISSN: | 1438-2385 1438-2377 |
| DOI: | 10.1007/s00217-019-03423-9 |
| Popis: | Salmonella is a major cause of foodborne illness throughout the world and has resulted in a serious of public health issues over the past decades. The conventional culture methods for Salmonella detection are laborious and time-consuming; thus a variety of new methods have been developed to enable rapid detection. Among them, immuno- and nucleic acid-based methods are fast developing because the advancing of molecular science provides more target antibodies and genes for Salmonella detection. These new targets might enable a lower detection limit and higher sensitivity/specificity and, therefore shorten the detection period while ensuring the detection accuracy. This review emphasizes the effect of current immuno- and nucleic acid-based techniques for Salmonella detection. The target antibodies and target genes identified and applied during the latest research are also listed out as a reference. Besides, the main features of various immune- and nucleic acid-based techniques used for Salmonella detection in food are also summarized and compared. This review would provide the in-time and comprehensive guidance to achieve rapid and accurate detection of foodborne Salmonella. |
| Databáze: | OpenAIRE |
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