NMR Methods for Characterization of Synthetic and Natural Polymers
eBook - ePub

NMR Methods for Characterization of Synthetic and Natural Polymers

  1. 566 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

NMR Methods for Characterization of Synthetic and Natural Polymers

Book details
Table of contents
Citations

About This Book

Since the introduction of FT-NMR spectroscopy around five decades ago, NMR has achieved significant advances in hardware and methodologies, accompanied with the enhancement of spectral resolution and signal sensitivity. Rapid developments in the polymers field mean that accurate and quantitative characterization of polymer structures and dynamics is the keystone for precisely regulating and controlling the physical and chemical properties of the polymer. This book specifically focuses on NMR investigation of complex polymers for the polymer community as well as NMR spectroscopists, and will push the development of both fields. It covers the latest advances, for example high field DNP and ultrafast MAS methodologies, and show how these novel NMR methods characterize various synthetic and natural polymers.

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Yes, you can access NMR Methods for Characterization of Synthetic and Natural Polymers by Rongchun Zhang, Toshikazu Miyoshi, Pingchuan Sun, Maili Liu in PDF and/or ePUB format, as well as other popular books in Ciencias físicas & Química analítica. We have over one million books available in our catalogue for you to explore.

Information

Year
2019
ISBN
9781788018630

Table of contents

  1. Cover
  2. Title
  3. Copyright
  4. Foreword
  5. Preface
  6. Editor Biographies
  7. Contents
  8. Section 1: Introduction
  9. Section 2: Dynamics and Interactions in Solutions or Liquids
  10. Section 3: High-resolution MAS NMR of Soft Samples
  11. Section 4: Dynamically Heterogeneous Systems and Nanocomposites
  12. Section 5: Site-resolved Structure and Dynamics in complex (Bio)polymer Systems
  13. Section 6: Novel Methodologies
  14. Subject Index