Plant Metabolomics : Methods and Protocols /

Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: António, Carla. (Editor )
Formato: eBook
Lenguaje:English
Publicado: New York, NY : Springer New York : Imprint: Humana, 2018.
Edición:1st ed. 2018.
Colección:Methods in Molecular Biology, 1778
Materias:
Tabla de Contenidos:
  • The Importance of Experimental Design, Quality Assurance, and Control in Plant Metabolomics Experiments
  • Standard Key Steps in Mass Spectrometry-Based Plant Metabolomics Experiments: Instrument Performance and Analytical Method Validation
  • Guidelines for Sample Normalization to Minimize Batch Variation for Large-Scale Metabolic Profiling of Plant Natural Genetic Variance
  • Gas Chromatography-Mass Spectrometry-Based 13C-Labeling Studies in Plant Metabolomics
  • Carbon Atomic Survey for Identification of Selected Metabolic Fluxes
  • Quantification of Low-Abundant Phosphorylated Carbohydrates Using HILIC-QqQ-MS/MS
  • Quantification of Soluble Sugars and Sugar Alcohols by LC-MS/MS
  • Untargeted Analysis of Semi-Polar Compounds by LC-MS and Targeted Analysis of Fatty Acids by GC-MS/GC-FID: From Plant Cultivation to Extract Preparation
  • Extraction of Plant Lipids for LC-MS-Based Untargeted Plant Lipidomics
  • Semi-Targeted Lipidomics of Plant Acyl Lipids Using UPLC-HR-MS in Combination with a Data-Independent Acquisition Mode
  • Plant Lipidomics Using UPLC-QTOF-MS
  • Targeted LC-MS Analysis for Plant Secondary Metabolites
  • An UHPLC–MS/MS Method for Target Profiling of Stress-Related Phytohormones
  • A Complete Pipeline for Generating a High-Resolution LC-MS-Based Reference Mass Spectra Library
  • Quantification of Sugars and Organic Acids in Biological Matrices Using GC-QqQ-MS
  • Acquisition of Volatile Compounds by Gas Chromatography-Mass Spectrometry (GC-MS)
  • Mass Spectrometry Imaging (MSI) for Plant Metabolomics
  • Laser Ablation Electrospray Ionization-Mass Spectrometry Imaging (LAESI-MS) for Spatially Resolved Plant Metabolomics
  • Live Single-Cell Mass Spectrometry (LSC-MS) for Plant Metabolomics
  • Statistical and Multivariate Analysis of MS-Based Plant Metabolomics Data
  • Integration of Plant Metabolomics Data into Metabolic Networks: Progresses and Challenges
  • Understanding the Functionality of a Biological System as a Whole: Comparative Data Analysis
  • Regression-Based Modeling of Complex Plant Traits Based on Metabolomics Data
  • Mathematical Modeling Approaches in Plant Metabolomics.