Nmr Data Interpretation Explained: Understanding 1D And 2D Nmr Spectra Of Organic Compounds And Natural Products

The book starts at the simplest level, with little or no discussion of NMR theory or physics, and focuses entirely on a large number of examples of NMR data. Through these examples, the principles of the relationship between chemical structure and the NMR spectrum are developed in a logical, step-by-step fashion. After each new concept is introduced there are numerous problems to illustrate the concept. While starting with the simplest concepts and examples, the book does progress to complex topics not usually covered in NMR books such as: complex splitting patterns, stereochemistry in rigid molecules, prediction of J coupling values, effects of chirality, steric crowding effects, and resonance structure analysis for prediction of chemical shifts. Advanced topics include all of the common two-dimensional experiments (COSY, NOESY, TOCSY, HSQC, HMBC) covered strictly from the point of view of data interpretation, with many examples and problems. These are valuable tools for the serious user of NMR data in research.

Neil E. Jacobsen has been the NMR Facility Manager in the Department of Chemistry and Biochemistry at the University of Arizona for the last 20 years. He teaches an undergraduate course in NMR Spectroscopy (Organic Qualitative Analysis) using a series of unknowns including monoterpenes and steroids, with students acquiring their own 400 MHz 1D and 2D NMR data. He also teaches a graduate course in Organic Synthesis and NMR Spectroscopy that is focused on using the spectrometers and interpreting complex NMR data. He has 30 years of experience working in the field of NMR spectroscopy, and during that time he has authored 46 publications in peer-reviewed journals as well as the 2007 Wiley book NMR Spectroscopy Explained.