Handbook on mass spectrometry : instrumentation, data and analysis, and applications /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Lang, J. K.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Nova Science Publishers, ©2009.
Colección:Advances in chemistry research series.
Temas:
Mass spectrometry.
Analytical chemistry.
Spectrométrie de masse.
Chimie analytique.
mass spectrometry.
chemical analysis.
SCIENCE > Chemistry > Analytic.
Analytical chemistry
Mass spectrometry
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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
  • 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
  • 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
  • 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
  • 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

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