Ontology highlight
ABSTRACT:
SUBMITTER: Liu Y
PROVIDER: S-EPMC10582345 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature
Liu Yaqun Y Lin Liyun L Wei Huagui H Luo Qiulan Q Yang Peikui P Liu Mouquan M Wang Zhonghe Z Zou Xianghui X Zhu Hui H Zha Guangcai G Sun Junjun J Zheng Yuzhong Y Lin Min M
Current research in food science 20231005
In recent years, meat adulteration safety incidents have occurred frequently, triggering widespread attention and discussion. Although there are a variety of meat quality identification methods, conventional assays require high standards for personnel and experimental conditions and are not suitable for on-site testing. Therefore, there is an urgent need for a rapid, sensitive, high specificity and high sensitivity on-site meat detection method. This study is the first to apply RPA combined with ...[more]