지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2020.1
- 수록면
- 321 - 333 (13page)
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초록· 키워드
오류제보하기
Beef quality is influenced by the fattening period. Therefore, meat metabolomics profiles from the different fattening periods (e.g., short-term vs. long-term) were analyzed for identify potential indicators using nuclear magnetic resonance. Additionally, blood, free fatty acid, sensory, and mineral compositions in Korean steers were determined. Blood, free fatty acid, and mineral concentrations showed significant differences between short-term and long-term groups that were fed different diets. However, there were no sensory differences in the two fattening groups. Additionally, the metabolic profiles of meats were clearly separated based on multivariate orthogonal partial least square discriminant analysis. Six metabolites of variable importance in the projection plot were identified and showed high sensitivity as candidate markers for meat characteristics. In particular, lactate, carnosine, and creatine could be directly linked to scientific indicators of the fattening stage (31 vs. 28 mo) of meat. Our findings suggest that the metabolomics approach could be a powerful method for the detection of novel signatures underlying the managing period of beef.
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등록된 정보가 없습니다.
참고문헌 (36)
참고문헌 신청
McNeill SH / 2014 / Inclusion of red meat in healthful dietary patterns / Meat Sci 98:452~460
Goldansaz SA / 2017 / Livestock metabolomics and the livestock metabolome: a systematic review / PLOS ONE 12:e0177675
Meale SJ / 2017 / Exploration of biological markers of feed efficiency in young bulls / J Agric Food Chem 65:9817~9827
Gowda GAN / 2013 / Biomarker discovery and translation in metabolomics / Curr Metabolomics 1:227~240
Tian JS / 2016 / Discovery, screening and evaluation of a plasma biomarker panel for subjects with psychological suboptimal health state using 1H-NMR-based metabolomics profiles / Sci Rep 6:33820
Goldansaz SA / 2017 / Livestock metabolomics and the livestock metabolome: a systematic review / PLOS ONE 12:e0177675
Meale SJ / 2017 / Exploration of biological markers of feed efficiency in young bulls / J Agric Food Chem 65:9817~9827
Gowda GAN / 2013 / Biomarker discovery and translation in metabolomics / Curr Metabolomics 1:227~240
Tian JS / 2016 / Discovery, screening and evaluation of a plasma biomarker panel for subjects with psychological suboptimal health state using 1H-NMR-based metabolomics profiles / Sci Rep 6:33820
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