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Untargeted and targeted metabolomics identify metabolite biomarkers for Salmonella enteritidis in chicken meat.
- Source :
-
Food Chemistry . May2023, Vol. 409, pN.PAG-N.PAG. 1p. - Publication Year :
- 2023
-
Abstract
- • Untargeted metabolomics profiles metabolites of Salmonella enteritidis in chicken. • OPLS regression models identify 30 potential metabolite biomarkers. • Targeted metabolomics confirmed five biomarkers for Salmonella enteritidis. Salmonella Enteritidis easily contaminate chicken during slaughtering, processing, transportation, and sales, which seriously endangers human health. This study aimed to identify metabolite biomarkers for Salmonella Enteritidis contamination in chicken meat. UPLC-Q-Orbitrap MS untargeted metabolomics analysis identified 441 and 240 confidently metabolites in positive and negative ion mode, respectively. Thirty metabolites were defined as potential biomarkers for Salmonella enteritidis contamination in chicken meat. UPLC-QQQ-MS based targeted metabolomics was used to quantitatively analyze candidate metabolite biomarkers in Salmonella enteritidis contaminated and fresh chicken samples. A total of 10 candidate metabolite biomarkers were confirmed in the validation set, among which acetylcholine, l -Methionine, l -Proline, l -Valine, and l -Norleucine were identified as biomarkers for Salmonella Enteritidis contamination in chicken. The combined receiver operating characteristic curve analysis of the five biomarkers achieved an AUC of 0.956, indicating their high sensitivity and specificity in predicting Salmonella Enteritidis in raw chicken. In conclusion, the present study identified five metabolite biomarkers for Salmonella enteritidis in raw chicken. These results provide a potential theoretical basis for developing Salmonella Enteritidis detection methods in raw chicken. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03088146
- Volume :
- 409
- Database :
- Academic Search Index
- Journal :
- Food Chemistry
- Publication Type :
- Academic Journal
- Accession number :
- 161400659
- Full Text :
- https://doi.org/10.1016/j.foodchem.2022.135294