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Metabolomics In Food And Nutrition [electronic resource]
Weimer, B. C
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| 자료유형 | 단행본 |
|---|---|
| 개인저자 | Weimer, B. C. Slupsky, C. M. |
| 서명/저자사항 | Metabolomics In Food And Nutrition [electronic resource]. |
| 발행사항 | Burlington :Elsevier Science,2013. |
| 형태사항 | 1 online resource (262 pages). |
| 총서사항 | Woodhead Publishing Series in Food Science, Technology and Nutrition. |
| 총서부출표목 | Woodhead Publishing in food science, technology, and nutrition. |
| 기타형태 저록 | Print version:Weimer, B C.Metabolomics In Food And Nutrition.Burlington : Elsevier Science, ©2013,9781845695125 |
| ISBN | 9780857098818 (electronic bk.) 0857098810 (electronic bk.) |
| 일반주기 | 8.2 Metabolomic studies on selected Poaceae species. |
| 내용주기 | Cover; Metabolomics in foodand nutrition; Copyright; Contents; Contributor contact details; Woodhead Publishing Series in Food Science, Technology and Nutrition; Introduction; Part I Equipment, methods and data interpretation in metabolomics; 1. Equipment and metabolite identification (ID) strategies for mass-based metabolomic analysis C.J. Wachsmuth, P.J. Oefner and K. Dettmer, University of Regensburg, Germany; 1.1 Introduction; 1.2 Liquid chromatography; 1.3 Gas chromatography; 1.4 Mass spectrometry technologies; 1.5 Analytical systems; 1.6 Compound identification (ID) approaches. 1.7 Databases for tracking and interconnections1.8 Future trends; 1.9 Sources of further information and advice; 1.10 Acknowledgments; 1.11 References; 2. Metabolomics using nuclear magnetic resonance (NMR) J. Sotelo and C.M. Slupsky, University of California, Davis, USA; 2.1 Introduction; 2.2 Experimental design and preparation; 2.3 Experimental process and analysis; 2.4 Current applications and future trends; 2.5 References; 2.6 Appendix: abbreviations; 3. Statistical methods in metabolomics J.R. Stevens, Utah State University, USA; 3.1 Introduction; 3.2 Exploratory/visual approaches. 3.3 Inferential approaches3.4 Multiple hypothesis testing; 3.5 Ensemble learning approaches; 3.6 Conclusion; 3.7 References; 3.8 Appendix: software packages used; 4. Metabolic reconstruction databases and their application to metabolomics research P.D. Karp, SRI International, USA; 4.1 Introduction; 4.2 Overview of Pathway/Genome Database (PGDB) construction; 4.3 Querying PGDBs; 4.4 Metabolomics applications; 4.5 Sources of further information and advice; 4.6 Conclusion; 4.7 Acknowledgments; 4.8 References; Part II Applications of metabolomics in humans, plants and food. 5. Human samples for health assessments P.D. Whitfi eld and M.K. Doherty, University of the Highlands and Islands, UK5.1 Introduction; 5.2 Sample collections and biobanks; 5.3 Variation in metabolite profiles of human biofluids and tissues; 5.4 Standards for metabolomic studies; 5.5 Conclusions and future trends; 5.6 References; 6. Metabolomics in nutrition S. Moco, A. Ross, F.-P.J. Martin, S. Collino, J.-P. Godin, S. Rezzi and S. Kochhar, Nestlé Research Center, Switzerland; 6.1 Introduction; 6.2 Epidemiological studies and biomarkers of food intake; 6.3 Diet and metabolic syndrome. 6.4 The role of intestinal microbiota in nutrition6.5 Perspectives in nutrition research; 6.6 Future trends; 6.7 References; 7. Current methods for the analysis of human milk oligosaccharides (HMOs) and their novel applications L.R. Ruhaak and C.B. Lebrilla, University of California, Davis, USA; 7.1 Introduction; 7.2 Analysis of human milk oligosaccharides (HMOs); 7.3 Applications of HMO analysis; 7.4 Conclusion; 7.5 References; 7.6 Appendix: abbreviations; 8. Metabolomic analysis of plants and crops T. Frank and K.-H. Engel, Technische Universität München, Germany; 8.1 Introduction. |
| 요약 | Metabolomics enables valuable information about the biochemical composition of foods to be rapidly obtained. Since the biochemical profile of food largely determines key food properties such as flavour and shelf life, the information gained using metabolomics-based methods will enable greater control of food quality and also help to determine the relationship between diet and health. Metabolomics in food and nutrition provides an overview of their current and potential use in the food industry. Part one reviews equipment, methods and data interpretation in metabolomics including the use. |
| 일반주제명 | Functional foods. Nutrigenomics -- methods. Nutrition -- Genetic aspects. Metabolism -- Regulation. MEDICAL / Pharmacology |
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