Author: Tang Huitong
Publisher:
Publish Date: 1994-07-01
Features: Based on over a decade of teaching experience, the author has compiled this textbook on organic spectral identification. The book is divided into six chapters. Chapter 1 Introduction, reviewing the classic organic structure identification procedures. This chapter is limited to the identification of primary and secondary structures of general organic molecules and does not involve biochemical macromolecules and polymers, which have different characterization methods. Chapter 2 discusses organic mass spectrometry methods, pointing out the principles and methods of determining molecular formulas or fragment ion chemical formulas using high-resolution and low-resolution mass spectrometry data, fragmentation mechanisms, and the principles and characteristics of various ion sources. Chapter 3 explains the role, characteristics, and limitations of infrared spectroscopy in organic structure identification; starting from the harmonic oscillator model of diatomic molecules, it discusses the basic principles of vibration in polyatomic molecules, the characteristic frequencies of various common functional groups, and the factors affecting these characteristic frequencies. Chapter 4 covers ultraviolet and visible spectroscopy, explaining the basic concepts, empirical rules, and practical applications of electronic spectroscopy. Chapter 5 discusses nuclear magnetic resonance methods, analyzing the effects of internal structural factors and external experimental conditions on experimental results, as well as specific methods for applying this knowledge to the determination of primary and secondary structures of organic molecules. Chapter 6 is a comprehensive discussion of spectral data. The appendices at the end of the book provide useful data tables and calculation formulas for spectral identification, for reference by readers. This book is suitable for readers with a university-level foundation in mathematics and physics for reading and self-study.
Spectroscopic Identification of Organic Compounds
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