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Metabolomics enables valuable information about the biochemical composition of foods to be rapidly obtained. Since the biochemical profile of food largely determines key food… Read more
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Woodhead Publishing Series in Food Science, Technology and Nutrition
Introduction
Part I: Equipment, methods and data interpretation in metabolomics
Chapter 1: Equipment and metabolite identification (ID) strategies for mass-based metabolomic analysis
Abstract:
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 interconnections
1.8 Future trends
1.9 Sources of further information and advice
1.10 Acknowledgments
1.11 References
Chapter 2: Metabolomics using nuclear magnetic resonance (NMR)
Abstract:
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
Chapter 3: Statistical methods in metabolomics
Abstract:
3.1 Introduction
3.2 Exploratory/visual approaches
3.3 Inferential approaches
3.4 Multiple hypothesis testing
3.5 Ensemble learning approaches
3.6 Conclusion
3.7 References
3.8 Appendix: software packages used
Chapter 4: Metabolic reconstruction databases and their application to metabolomics research
Abstract:
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
Chapter 5: Human samples for health assessments
Abstract:
5.1 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
Chapter 6: Metabolomics in nutrition
Abstract:
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 nutrition
6.5 Perspectives in nutrition research
6.6 Future trends
6.7 References
Chapter 7: Current methods for the analysis of human milk oligosaccharides (HMOs) and their novel applications
Abstract:
7.1 Introduction
7.2 Analysis of human milk oligosaccharides (HMOs)
7.3 Applications of HMO analysis
7.4 Conclusion
7.5 References
Chapter 8: Metabolomic analysis of plants and crops
Abstract:
8.1 Introduction
8.2 Metabolomic studies on selected Poaceae species
8.3 Metabolomic studies on selected Solanaceae species
8.4 Metabolomic studies on selected Fabaceae species
8.5 Metabolomic studies on selected Brassicaceae and Lamiaceae species
8.6 Plant/crop metabolome databases
8.7 Future trends
8.8 References
Chapter 9: Metabolomics for the safety assessment of genetically modified (GM) crops
Abstract:
9.1 Introduction
9.2 Solanaceous crops
9.3 Cereal crops
9.4 Other crops
9.5 Metabolomics as part of a regulatory risk assessment procedure for the development and evaluation of genetically modified (GM) crops
9.6 Metabolomics and GM food safety: future trends
9.7 Acknowledgements
9.8 References
Chapter 10: Applications of metabolomics in food science: food composition and quality, sensory and nutritional attributes
Abstract:
10.1 Introduction
10.2 Metabolomics for compound identification: authentication and pathogen detection
10.3 Metabolomics for predicting sensory attributes
10.4 Metabolomics and food processing and safety
10.5 Conclusion
10.6 References
Index
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