Organic Structure Determination Using 2 D NMR Spectroscopy

This book PDF is perfect for those who love Science genre, written by Jeffrey H. Simpson and published by Academic Press which was released on 19 July 2010 with total hardcover pages 384. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Organic Structure Determination Using 2 D NMR Spectroscopy books below.

Organic Structure Determination Using 2 D NMR Spectroscopy
Author : Jeffrey H. Simpson
File Size : 46,9 Mb
Publisher : Academic Press
Language : English
Release Date : 19 July 2010
ISBN : 0080916635
Pages : 384 pages
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Organic Structure Determination Using 2 D NMR Spectroscopy by Jeffrey H. Simpson Book PDF Summary

This book contains 30-40 quality 2D NMR data sets following an introductory section describing the methodology employed. Many other books describe the methods used, but none offer a large number of problems. Instructors at universities and colleges at the present time are forced to cobble together problems from a wide range of sources. The fragmentary approach to assembling course materials has a negative impact on course continuity and thus adversely impacts student retention. This book will stand as a single source to which instructors and students can go to obtain a comprehensive compendium of NMR problems of varying difficulty. • Presents strategies for assigning resonances to known structures and for deducing structures of unknown organic molecules based on their NMR spectra • Contains 20 known and 20 unknown structure determination problems

Organic Structure Determination Using 2 D NMR Spectroscopy

This book contains 30-40 quality 2D NMR data sets following an introductory section describing the methodology employed. Many other books describe the methods used, but none offer a large number of problems. Instructors at universities and colleges at the present time are forced to cobble together problems from a wide

Get Book
Organic Structure Determination Using 2 D NMR Spectroscopy

"The second edition of this book comes with a number of new figures, passages, and problems. Increasing the number of figures from 290 to 448 has necessarily added considerable length, weight, and, expense. It is my hope that the book has not lost any of its readability and accessibility. I firmly believe

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Organic Structures from 2D NMR Spectra

The derivation of structural information from spectroscopic data is now an integral part of organic chemistry courses at all Universities. Over recent years, a number of powerful two-dimensional NMR techniques (e.g. HSQC, HMBC, TOCSY, COSY and NOESY) have been developed and these have vastly expanded the amount of structural

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Organic Structures from Spectra

Organic Structures from Spectra, Fourth Edition consists of a carefully selected set of over 300 structural problems involving the use of all the major spectroscopic techniques. The problems are graded to develop and consolidate the student’s understanding of Organic Spectroscopy, with the accompanying text outlining the basic theoretical aspects of

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Organic Structures from 2D NMR Set

The derivation of structural information from spectroscopic data is now an integral part of organic chemistry courses at all Universities. Over recent years, a number of powerful two–dimensional NMR techniques (e.g. HSQC, HMBC, TOCSY, COSY and NOESY) have been developed and these have vastly expanded the amount of

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The derivation of structural information from spectroscopic data is now an integral part of organic chemistry courses at all Universities. A critical part of any such course is a suitable set of problems to develop the students’ understanding of how organic structures are determined from spectra. The book builds on

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The derivation of structural information from spectroscopic data is now an integral part of organic chemistry courses at all Universities. A critical part of any such course is a suitable set of problems to develop the student’s understanding of how structures are determined from spectra. Organic Structures from Spectra,

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