High Sensitivity Fourier Transform Nmr

Now reprinted and available in paperback, this book is a comprehensive guide to the theory and practice of NMR spectroscopy in its many forms. It presents the whole range of Fourier Transform NMR techniques, including 2D NMR and NMR imaging. The first three chapters cover the basic physics of magnetic resonance and the mathematical background to Fourier techniques. The following chapters concentrate on pulsed NMR spectroscopy, including the new multipulse sequences, from a theoretical and practical approach. The final chapters deal with the important topic of nuclear relaxation and the novel technique of 2D NMR. The principles of NMR imaging are discussed in detail including medical applications. Containing a wealth of information on techniques and methods, the book provides the reader with a sound base from which to apply Fourier NMR techniques to the many areas of science where they are proving of most value. It is a must for undergraduate and postgraduate students in chemistry and physics, medical students involved in imaging and radiology, NMR spectrometer and NMR imaging manufacturers, and NMR research scientists.

Pulse and Fourier Transform NMR: Introduction to Theory and Methods presents the different types of pulse experiments that are commonly used and provides the theoretical background necessary for understanding these techniques. This book evaluates the practical application of pulse methods and the necessary instrumentation. Organized into seven chapters, this book begins with an overview of the NMR fundamentals and the basic pulse methods. This text then summarizes the important features of pulse spectrometers. Other chapters consider the rationale, the advantages, and the limitations of Fourier transform NMR methods. This book discusses as well how the idea of the rotating frame can be utilized to understand certain experiments that extend the range of application of pulse methods. The final chapter deals with a few significant special uses of pulse techniques. This book is a valuable resource for chemists and readers who are familiar with high resolution NMR but with no background in pulse methods.

The application of the Fourier transform is being seen to an increasing extent in all branches of chemistry, but it is in the area of chemical analysis that the greatest activity is taking place. Fourier transform infrared and nuclear magnetic resonance spectrometry are already routine methods for obtaining high-sensitivity IR and NMR spectra. Analogous methods are now being developed for mass spectrometry (Fourier transform ion cyclo tron resonance spectrometry) and microwave spectroscopy, and Fourier transform techniques have been successfully applied in several areas of electrochemistry. In addition the fast Fourier transform algorithm has been used for smoothing, interpolation, and more efficient storage of data, and has been studied as a potential method for more efficient identification of samples using pattern recognition techniques. Linear transforms have also been shown to be useful in analytical chemistry. Probably the most important of these is the Hadamard transform, which has been applied in alternative methods for obtaining IR and NMR data at high sensitivity. Even though measurements involving this algorithm will probably not be applied as universally as their Fourier transform ana logs, in the area of pattern recognition application of the Hadamard trans form will in all probability prove more important than application of the Fourier transform.

The primary purpose of this book is to help you understand what is going on in Fourier Transform (FT) Nuclear Magnetic Resonance (NMR) spectroscopy. Modern life is now very largely life with 'black boxes' that carry warning labels: 'No user-serviceable parts inside.' Many find black boxes to be quite acceptable, at least as long as they work. But how willing should we be to accept black-box analyses without some understanding of how those analyses were obtained? NMR spectrometers are like 'black boxes' in that they offer many standardised procedures, but it can be dangerous to the quality of your data if you rely slavishly on such procedures without understanding how and why the proper parameter choices are critical. The scope of this book is broad rather than deep with the intention of providing helpful insight. Much can be understood in a more qualitative way and that is the approach taken here. For those few areas where a quantitative approach is needed, simple mathematics will usually suffice.