Menu Expand
Capillary ElectrophoresisMass Spectrometry for Metabolomics

Capillary ElectrophoresisMass Spectrometry for Metabolomics

Rawi Ramautar

(2018)

Additional Information

Book Details

Abstract

Capillary electrophoresis–mass spectrometry (CE-MS) has become a very useful analytical technique for the profiling of highly polar and charged metabolites in biological samples. In this book, the unique features of CE-MS for metabolomics studies are highlighted including CE separation modes, capillary coatings and practical aspects of CE-MS coupling alongside a comprehensive overview of recent technological developments and applications.
CE-MS can be considered a relatively new technique in the field of metabolomics and it is therefore important to inform the scientific community about the possibilities of advanced CE-MS approaches for metabolomics studies. This book outlines the potential of this technique for researchers working in metabolomics, bioanalytics and biomarker analysis.
Strongly believing in the power of analytical technology to contribute to a better understanding of biochemical mechanisms underlying diseases, Rawi Ramautar studied both Pharmacochemistry and Analytical Sciences at Vrije Universiteit of Amsterdam in order to have the right background for a PhD training in this direction. In 2010, he completed his PhD on the development of capillary electrophoresis-mass spectrometry methods for metabolomics at the Utrecht University. Intrigued by metabolomics for disease prediction and diagnosis, Rawi switched to the Leiden University Medical Center to broaden his horizon on this topic. In 2013 and 2017, Rawi Ramautar received the highly prestigious Veni and Vidi personal grants, respectively, from the Netherlands Organisation for Scientific Research. Currently, he is a Principal Investigator (tenured) at the Leiden Academic Center for Drug Research of the Leiden University where his group is developing microscale analytical workflows for volume-restricted biomedical problems.

Table of Contents

Section Title Page Action Price
Front Cover Cover
Capillary Electrophoresis–Mass Spectrometry for Metabolomics i
Preface v
About the Editor vii
Contents ix
Chapter\r1 - Capillary Electrophoresis–Mass Spectrometry for Metabolomics – From Metabolite Analysis to Metabolic Profiling 1
1.1 Introduction 1
1.2 Capillary Electrophoresis for Metabolite Analysis 4
1.3 Capillary Electrophoresis–Mass Spectrometry for Metabolomics 11
1.4 Conclusions 15
Acknowledgements 16
References 16
Chapter\r2 - CE-MS Workflows for Metabolomics: A Focus on Sample Preparation 21
2.1 Introduction 21
2.2 Sample Preparation: General Aspects 24
2.3 Sample Preparation for Body Fluids 25
2.3.1 Urine 25
2.3.2 Blood, Plasma and Serum 29
2.3.3 Other Biofluids 36
2.4 Sample Preparation for Mammalian Cultured Cells 38
2.5 Sample Preparation for Solid Samples: Tissues and Plants 40
2.6 Sample Preparation for Microbial Cells, Parasites and Microbiota 44
2.7 Conclusions 46
Acknowledgements 46
References 46
Chapter\r3 - Capillary Electrophoresis–Mass Spectrometry Using Non-covalently Coated Capillaries for Metabolic Profiling of Biological Samples 53
3.1 Introduction 53
3.2 Capillary Coatings in CE-MS 55
3.3 Non-covalently Coated Capillaries for CE-MS-based Metabolomics 56
3.4 PB–PVS and PB–DS–PB Coated Capillaries: Practical Aspects 60
3.5 Conclusions 62
Acknowledgements 63
References 63
Chapter\r4 - Capillary Electrophoresis–Mass Spectrometry for Metabolomics Using New Interfacing Designs 66
4.1 Introduction 66
4.2 Low-flow Sheath-liquid Interfacing Designs 68
4.3 Sheathless Interfacing Designs 74
4.4 Conclusions 79
Acknowledgements 79
References 80
Chapter\r5 - Stacking or On-line Sample Concentration in CE-MS for Metabolomics 83
5.1 Introduction 83
5.2 Stacking Techniques – an Overview 85
5.2.1 Field Amplification or Enhancement 86
5.2.2 Transient Isotachophoresis (tITP) 88
5.2.3 Dynamic pH Junctions 89
5.2.4 Sweeping 90
5.2.5 Analyte Focusing by Micelle Collapse (AFMC) 91
5.2.6 Micelle to Solvent Stacking (MSS) 92
5.2.7 Hyphenated Stacking 93
5.3 Considerations for Stacking in CE-MS-based Metabolomics Studies 94
5.3.1 Stacking with MS-compatible Reagents 95
5.3.2 Stacking with Non-volatile Reagents 96
5.4 Applications of Stacking in CE-MS-based Metabolomics Studies 97
5.4.1 Applications of Field Amplification/Enhancement 97
5.4.2 Applications of tITP 102
5.4.3 Applications of Dynamic pH Junctions 103
5.4.4 Applications of Sweeping, AFMC and MSS 104
5.4.5 Applications of Hyphenated Stacking 106
5.5 Conclusion 109
Acknowledgements 109
References 109
Chapter 6 - On-line Solid-phase Extraction Capillary Electrophoresis–Mass Spectrometry and Data Analysis Approaches for Metabolomics 113
6.1 Introduction 113
6.2 Experimental Procedures 116
6.2.1 Mouse Blood Plasma Extraction 116
6.2.2 Sample Preparation 116
6.2.3 Apparatus and Procedures: SPE-CE-MS 117
6.2.3.1 Construction of an SPE-CE Microcartridge 117
6.2.3.2 SPE-CE-MS Methodology 117
6.2.4 Multivariate Data Analysis: MCR-ALS and PLS-DA 119
6.3 Results and Discussion 120
6.3.1 Plasma Pretreatment 120
6.3.2 Analysis of Plasma Samples by C18-SPE-CE-MS 123
6.3.3 Multivariate Data Analysis Tools 123
6.3.3.1 Feature Detection 123
6.3.3.2 Statistical Analysis 125
6.3.4 Metabolite Identification 127
6.4 Conclusions 127
Acknowledgements 131
References 131
Chapter\r7 - CE-MS for Anionic and Cationic Metabolic Profiling: System Optimization and Applications 134
7.1 Introduction 134
7.2 CE-MS for Metabolome Analysis 136
7.2.1 Cationic Metabolite Analysis 137
7.2.2 Anionic Metabolite Analysis 139
7.2.3 Interface 140
7.2.4 MS Instrument 142
7.3 Application 144
7.3.1 Serum/Plasma 144
7.3.2 Urine 148
7.3.3 Tissue 149
7.3.4 Cultured Cells 151
7.3.5 Other Samples 153
7.4 Conclusions 155
Acknowledgements 156
References 156
Chapter\r8 - CE-MS for Metabolomics: A Comparison with Other Techniques 161
8.1 Introduction 161
8.2 Design of the Experiment 164
8.3 Sample Selection and Collection 164
8.4 Sample Preparation 165
8.5 Analysis 166
8.6 Data Reprocessing 175
8.7 Data Treatment 176
8.8 Identification 177
8.9 Pathway Analysis and Data Interpretation 179
8.10 Conclusions 180
References 180
Chapter\r9 - Potential of CE-MS for Chiral Metabolic Profiling 184
9.1 Introduction to Chiral Analysis 184
9.1.1 Chirality and Its Relevance 185
9.1.2 Chiral Recognition by Separation Techniques 186
9.1.3 Possibilities of CE in Chiral Separations 188
9.1.4 Chiral CE-MS 190
9.2 Chiral Metabolic Profiling 191
9.2.1 State-of-the-Art of Chiral Metabolic Profiling 191
9.2.2 Applications of Chiral Metabolic Profiling by CE-MS 192
9.2.2.1 Study of the Enantioselective Metabolism of Drugs 192
9.2.2.2 Study of the Enantioselective Metabolism of Amino Acids 198
9.2.2.3 d-Amino Acids as Diagnostic Markers of Diseases 199
9.2.2.4 d-Amino Acids as Indicators of the State of a System 199
9.2.3 CE-MS Methods to Potentially Study Chiral Profiles for Amino Acids and/or Amines 202
9.3 Concluding Remarks and Future Trends 205
Acknowledgements 206
References 206
Chapter\r10 - Single-cell Metabolomics with Capillary Electrophoresis–Mass Spectrometry 209
10.1 Introduction and Overview 209
10.2 Sampling of Single Cells 211
10.3 Metabolite Extraction 214
10.4 Detection by Capillary Electrophoresis–Mass Spectrometry 216
10.5 Data Processing 218
10.6 Conclusions and Perspectives 220
Acknowledgements 221
References 221
Chapter\r11 - Capillary Electrophoresis–Mass Spectrometry for Lipid Analysis 225
11.1 Introduction 225
11.1.1 Lipids 225
11.1.2 Lipid Analysis 226
11.2 CE-MS of Lipids 228
11.2.1 Phospholipids 228
11.2.2 Glycolipids 234
11.2.2.1 Lipopolysaccharides 234
11.2.2.2 Gangliosides 234
11.2.3 Acylcarnitines 237
11.2.4 Lipidic Surfactants 238
11.2.5 Long-chain Fatty Acids 242
11.3 CE-MS Analysis of Lipids Using Coated Capillaries 244
11.4 Concluding Remarks 250
Acknowledgements 251
References 252
Chapter\r12 - Multisegment Injection–Capillary Electrophoresis–Mass Spectrometry: A Robust Platform for High Throughput Metabolite Profiling with Quality Assurance 255
12.1 Introduction 255
12.2 CE-MS in Metabolomics: Overcoming Poor Robustness 257
12.3 Capillary Preparation and Conditioning: Buffer Compatibility Issues in CE-MS 258
12.4 Versatile Serial Injection Formats with Temporal Signal Pattern Recognition 262
12.5 Reliable Quantification with Quality Assurance and Batch Correction Adjustment 268
12.6 Applications of MSI-CE-MS: Biomarker Discovery in Clinical Metabolomic Studies 273
12.7 Conclusions 277
Acknowledgements 278
References 278
Subject Index 283