SGER: Improving Sensitivity in NMR Experiments

霍华德·泰勒教授得到了分析和表面化学计划的支持，该计划是为探索性研究(SGER)提供的一小笔赠款，主题是核磁共振(NMR)谱中的信号处理。该小组开发的算法通过减少进行最常见实验所需的机器时间，有可能极大地提高核磁共振的生产率。这个想法是在自由感应衰减时间信号的实验采集和频谱的最终快速傅立叶变换之间插入一个降噪方案。该项目将探索、扩展和展示这种新发明的工具在使用核磁共振的化学子领域中的实用性。与C.E.McKenna教授一起，将研究使用昂贵同位素的核磁共振。在G.K.S.Prakash教授的带领下，碳13偶联实验将成为重点。核磁共振在几乎每个化学部门都被用来分析分子结构和动力学，通常是在溶液中，有时是在固相中。这些仪器价格昂贵，需要很高的维护费用。这项工作旨在提高实验室中现有机器的生产率，从而为需要更长数据采集时间的困难实验腾出核磁共振时间。

Professor Howard Taylor is supported by the Analytical and Surface Chemistry Program for a Small Grant for Exploratory Research (SGER) on the topic of signal processing in Nuclear Magnetic Resonance (NMR) spectroscopy. The algorithm developed by this group has the potential to greatly improve the productivity of NMR by cutting the machine time needed to do the most common experiments. The idea is to insert a noise reduction scheme between the experimental acquisition of the Free Induction Decay time signal and the final Fast Fourier Transform to the spectrum. The project will explore, extend and demonstrate the usefulness of this newly invented tool in sub-fields of chemistry that employ NMR. With Professor C. E. McKenna, NMR using costly isotopes will be studied. With Professor G. K. S. Prakash, carbon 13 coupling experiments will be the focus. NMR is used in virtually every chemistry department for the analysis of structure and kinetics of molecules, usually in solution and sometimes in the solid phase. The instruments are costly and require high maintenance. This work aims to increase the productivity of the machines that are present now in labs, and to thus free up NMR time for difficult experiments that require greater data acquisition times.