Lipidomics : current and emerging techniques Lipidomics is one of the emerging omics techniques. This book will provide a guide to this growing area and its importance to the biosciences 3.3.1 Capillary Zone Electrophoresis 3.3.2 Micellar Electrokinetic Capillary Chromatography and Related Approaches 3.3.3 Capillary Electrochromatography and Lipids 3.4 The Future of Lipids and Low flow Separations References Chapter 4 Ion Mobility Mass Spectrometry for Lipid Analysis 4.1 Introduction 4.2 IM derived CCS 4.3 IM as an Additional Dimension of Separation 4.3.1 Online Separation IM MS 4.3.2 IM MS in Shotgun Lipidomics 4.3.3 Desorption Ionization with IM MS 4.4 IM in Combination with Tandem Mass Spectrometry 4.4.1 Post mobility Fragmentation 2.3.5 Random Forest and Machine Learning Approaches 2.4 Application of Multivariate Statistics to Lipidomics 2.4.1 Direct Infusion Mass Spectrometry 2.4.2 Liquid Chromatography Mass Spectrometry 2.4.3 Ion Mobility 2.4.4 Pattern Recognition in Mass Spectrometry Imaging 2.5 Workflow Tools for Lipidomics 2.6 Conclusions References Chapter 3 Low flow Rate Separations of Lipids 3.1 Introduction 3.2 Low flow Liquid Chromatography and Lipids: Microbore Capillary Nano Open Tubular Column Formats 3.2.1 Low flow Liquid Chromatography: A Tool for High Sensitivity and Small Sample Analysis 3.2.2 Capillary Liquid Chromatography: Lipid Applications 3.2.3 Temperature as a Tool in Capillary Liquid Chromatography for Lipid Analysis 3.2.4 Coupling Capillary Liquid Chromatography and Electrospray Mass Spectrometry for Lipidomics 3.2.5 Expanding Low flow Chromatography: Automated Sample Preparation and Multi dimensional Separations of Lipids 3.3 Capillary Zone Electrophoresis Micellar Electrokinetic Chromatography Capillary Electrochromatography for Lipid Separations 1.5 Databases Searches Nomenclature and Reporting 1.6 Conclusions Acknowledgements References Chapter 2 Multivariate Statistics in Lipidomics 2.1 Introduction 2.2 The Need for Multivariate Statistics: Why Doesnt a Students t test Do Everything 2.3 Commonly Used Multivariate Statistical and Pattern Recognition Techniques 2.3.1 Unsupervised and Supervised Forms of Multivariate Statistics 2.3.2 Principal Components Analysis 2.3.3 Hierarchical Cluster Analysis 2.3.4 Partial Least Squares Discriminant Analysis and Its Extensions Intro Half Title Series editor Title Copyright Contents Chapter 1 Lipidomics Basics 1.1 Introduction 1.2 Most Common Experimental Methods in Lipidomics 1.2.1 DI and Shotgun Methods 1.2.2 LC MS Methods 1.2.3 GC MS Methods 1.3 Emerging Experimental Methods in Lipidomics 1.3.1 Low flow rate LC 1.3.2 IM MS 1.3.3 MSI 1.4 Sample Preparation and Derivatisation 1.4.1 Liquid and Solid Phase Extractions 1.4.2 Liquid Extraction for Surface Analysis (LESA) 1.4.3 LESA for MSI 1.4.4 Derivatisation for Lipidomics