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Magnetic resonance spectroscopy time signal

Hyphenated analytical techniques such as LC-MS, which combines liquid chromatography and mass spectrometry, are well-developed laboratory tools that are widely used in the pharmaceutical industry. Eor some compounds, mass spectrometry alone is insufficient for complete structural elucidation of unknown compounds nuclear magnetic resonance spectroscopy (NMR) can help elucidate the structure of these compounds (see Chapter 20). Traditionally, NMR experiments are performed on more or less pure samples, in which the signals of a single component dominate. Therefore, the structural analysis of individual components of complex mixtures is normally time-consuming and less cost-effective. The... [Pg.14]

Nuclear magnetic resonance spectroscopy gives precise information on complexation in solution. Equilibrium is rapidly established on an NMR time scale, hence only an average spectrum is observed and it is difficult to determine the spectrum of a pure complex. When complexation of a sugar or polyol with a diamagnetic ion occurs, all of the signals shift downfield. Equation (11.1) allows the variation of the shielding constant Ao- of the proton to be calculated when the nucleus is subjected to an electric field E whose projection on the C-H bond is... [Pg.99]

In the reported thorough illustrations on magnetic resonance spectroscopy for diagnostic purposes in clinical oncology, special attention is paid to current obstacles in this problem area of medicine. Our aim is to demonstrate the potential usefulness of the Pade-optimized quantification for the analysis and interpretation of encoded time signals typical of normal and malignant samples from ovarian cyst fluid, as well as from breast and prostate tissues. [Pg.245]

Dz. Belkic, Exact quantification of time signals in PadA-based magnetic resonance spectroscopy, Phys. Med. Biol. 51 (2006) 2633. [Pg.344]

DZ. Belkic, K. Belkic, Exact quantification of time signals from magnetic resonance spectroscopy by the fast Pade transform with appHcations to breast cancer diagnostics, J. Math. Chem. 45 (2009) 790. [Pg.344]


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