Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Metabolomics is increasingly being used to explore the dynamic responses of living systems in biochemical research. The complexity of the metabolome is outstanding, requiring the use of complementary analytical platforms and methods for its quantitative or qualitative profiling. In alignment with the selected analytical approach and the study aim, sample collection and preparation are critical steps that must be carefully selected and optimized to generate high-quality metabolomic data. This book showcases some of the most recent developments in the field of sample preparation for metabolomics studies. Novel technologies presented include electromembrane extraction of polar metabolites from plasma samples and guidelines for the preparation of biospecimens for the analysis with high-resolution μ magic-angle spinning nuclear magnetic resonance (HR-μMAS NMR). In the following chapters, the spotlight is on sample preparation approaches that have been optimized for diverse bioanalytical applications, including the analysis of cell lines, bacteria, single spheroids, extracellular vesicles, human milk, plant natural products and forest trees.

Medicine --- metabolomics --- sample preparation --- hydrophilic interaction liquid chromatography --- ion mobility spectrometry --- high resolution mass spectrometry --- design of experiments --- AMOPLS --- metabonomics --- metabolic profiling --- NMR --- nuclear magnetic resonance spectroscopy --- cell line --- human cell line --- MiaPaCa-2 --- Panc-1 --- AsPC-1 --- extracellular vesicles --- exosomes --- microvesicles --- biomarkers --- diagnostics --- metabolic pathways --- plant metabolomics --- forestry --- trees --- mass spectrometry --- metabolite extraction --- GC-MS --- LC-MS --- metadata standardization --- databases --- multicellular tumor spheroids --- metallodrugs --- oxaliplatin --- KP1339 --- method development --- IT-139 --- 20% FCS --- harvesting --- extraction --- metabolites --- normalization --- electromembrane extraction --- cardiovascular disease --- multi-segment injection --- capillary electrophoresis–mass spectrometry --- liquid chromatography–mass spectrometry --- plant natural products --- drug discovery --- liquid chromatography --- gas chromatography --- human milk --- metabolome --- sampling --- liquid chromatography–mass spectrometry (LC-MS) --- nuclear magnetic resonance (NMR) --- gas chromatography–mass spectrometry (GC-MS) --- capillary electrophoresis—mass spectrometry (CE-MS) --- high-resolution magic angle spinning --- microscopic samples --- lipidomics --- LC-MS/MS --- human plasma --- metabolomics --- sample preparation --- hydrophilic interaction liquid chromatography --- ion mobility spectrometry --- high resolution mass spectrometry --- design of experiments --- AMOPLS --- metabonomics --- metabolic profiling --- NMR --- nuclear magnetic resonance spectroscopy --- cell line --- human cell line --- MiaPaCa-2 --- Panc-1 --- AsPC-1 --- extracellular vesicles --- exosomes --- microvesicles --- biomarkers --- diagnostics --- metabolic pathways --- plant metabolomics --- forestry --- trees --- mass spectrometry --- metabolite extraction --- GC-MS --- LC-MS --- metadata standardization --- databases --- multicellular tumor spheroids --- metallodrugs --- oxaliplatin --- KP1339 --- method development --- IT-139 --- 20% FCS --- harvesting --- extraction --- metabolites --- normalization --- electromembrane extraction --- cardiovascular disease --- multi-segment injection --- capillary electrophoresis–mass spectrometry --- liquid chromatography–mass spectrometry --- plant natural products --- drug discovery --- liquid chromatography --- gas chromatography --- human milk --- metabolome --- sampling --- liquid chromatography–mass spectrometry (LC-MS) --- nuclear magnetic resonance (NMR) --- gas chromatography–mass spectrometry (GC-MS) --- capillary electrophoresis—mass spectrometry (CE-MS) --- high-resolution magic angle spinning --- microscopic samples --- lipidomics --- LC-MS/MS --- human plasma