| Description |
1 online resource (xviii, 525 pages) : illustrations |
| Series |
Advances in chemistry research series |
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Advances in chemistry research series
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| Contents |
HANDBOOK ON MASS SPECTROMETRY:INSTRUMENTATION, DATAAND ANALYSIS, AND APPLICATIONS -- CONTENTS -- PREFACE -- MASS SPECTROMETRIC CHARACTERIZATIONOF ORGANOMETALLIC COMPOUNDS -- ABSTRACT -- 1. INTRODUCTION -- 2. IONIZATION TECHNIQUES -- 3. MASS ANALYZERS -- 4. BASIC IONIZATION MECHANISMS OF ORGANOMETALLICS -- 5. MASS SPECTROMETRY OF INDIVIDUAL ORGANOMETALLICCLASSES -- 5.1. Main Group Organometallic Compounds -- Simple main group organometallic compounds -- Organotin compounds -- Organolead compounds -- Organogermanium compounds |
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Organoarsenic, organoantimony and organobismuth compoundsOrganoboron compounds -- Organoaluminum, organogallium and organoindium compounds -- Organoselenium and organotellurium compounds -- Organosilicon compounds -- 5.2. Transition Metal Organometallic Compounds -- Metallocenes and related compounds -- Transition metal organometallic compounds containing covalent carbon-metal bond -- Heteropolymetallic complexes -- 5.3. Organometallics Compounds Containing Lanthanoids -- 6. CONCLUSION -- ACKNOWLEDGMENTS -- 7. REFERENCES -- LC-MS BASED METABOLOMICS |
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ABSTRACT1. METABOLOMICS? -- 1.1. The Positioning of Metabolomics in Research -- 1.2. Challenges in Metabolomics Approaches -- 1.3. Mass Spectrometry in Metabolomics Research -- 2. STAGES IN AN LC-MS BASED METABOLOMICS ANALYSIS -- 2.1. Sample Collection and Sample Storage -- 2.2. Sample Homogenisation/Extraction/Deproteinisation -- 2.3. Liquid Chromatography (LC) -- 2.4. The Ionisation Process as an Interface between LC and MS: Focus onMatrix Effect -- 2.5. Mass Spectrometry -- 2.6. Data Handling -- 2.6.1. Data processing -- 2.6.1.1. Filtering |
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2.6.1.2. Feature/peak detection2.6.1.3. Alignment -- 2.6.1.4. Normalisation -- 2.6.2. Data analysis -- 2.6.2.1. Principal component analysis (PCA) -- 2.6.2.2 Partial least-squares projections to latens structures (PLS) -- 2.6.2.3. O-PLS -- 2.7. Metabolite Identification -- 3. CONCLUSION -- REFERENCES -- BIOMARKER DISCOVERY FOR CANCERDIAGNOSIS USING SERUM PROTEOMIC ANALYSIS:FROM BASIC RESEARCH TO CLINICAL APPLICATION -- ABSTRACT -- INTRODUCTION -- 1. PROTEOMIC ANALYSIS OF SERUM/PLASMA IS EFFECTIVETO SEARCH FOR CANCER DIAGNOSTIC MARKERS |
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1.1. Characteristics of Global Analyses and Diagnostic Availability of Biomarkers1.2. Advantages of Proteomic Analysis in the Search for DiagnosticBiomarkers -- 1.3. Specimen -- 2. SEPARATION TECHNOLOGIES IN PROTEOMIC ANALYSIS -- 2.1. 2D-DIGE -- 2.2. ProteinChip Array® -- 2.3. ClinProt® -- 2.4. Shotgun Proteomics Using LC -- 3. MASS SPECTROMETRY -- 3.1. Fundamentals of MS -- 3.2. Ionization Methods -- 3.3. Mass Analyzers -- 3.4. Types of MS Used in Proteomic Analysis -- 4. IDENTIFICATION OF PROTEINS/PEPTIDES USING MS |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Mass spectrometry.
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Analytical chemistry.
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mass spectrometry.
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chemical analysis.
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SCIENCE -- Chemistry -- Analytic.
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Analytical chemistry
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Mass spectrometry
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| Form |
Electronic book
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| Author |
Lang, J. K.
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| ISBN |
9781612096926 |
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1612096921 |
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