NMR Data Interpretation Explained: Understanding 1D and 2D NMR Spectra of Organic Compounds and Natural Products

Neil E. Jacobsen

ଅକ୍ଟୋବର 2016 · John Wiley & Sons

ଇବୁକ୍

656

ପୃଷ୍ଠାଗୁଡ଼ିକ

ରେଟିଂ ଓ ସମୀକ୍ଷାଗୁଡ଼ିକୁ ଯାଞ୍ଚ କରାଯାଇନାହିଁ ଅଧିକ ଜାଣନ୍ତୁ

ଏହି ଇବୁକ୍ ବିଷୟରେ

Through numerous examples, the principles of the relationship between chemical structure and the NMR spectrum are developed in a logical, step-by-step fashion

Includes examples and exercises based on real NMR data including full 600 MHz one- and two-dimensional datasets of sugars, peptides, steroids and natural products
Includes detailed solutions and explanations in the text for the numerous examples and problems and also provides large, very detailed and annotated sets of NMR data for use in understanding the material
Describes both simple aspects of solution-state NMR of small molecules as well as more complex topics not usually covered in NMR books such as complex splitting patterns, weak long-range couplings, spreadsheet analysis of strong coupling patterns and resonance structure analysis for prediction of chemical shifts
Advanced topics include all of the common two-dimensional experiments (COSY, ROESY, NOESY, TOCSY, HSQC, HMBC) covered strictly from the point of view of data interpretation, along with tips for parameter settings

ଲେଖକଙ୍କ ବିଷୟରେ

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.

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