SGER: Improving Sensitivity in NMR Experiments

教授霍华德泰勒是由分析和表面化学计划的探索性研究（SGER）的一小笔赠款的核磁共振（NMR）光谱信号处理的主题支持。 该小组开发的算法有可能通过减少做最常见实验所需的机器时间来大大提高NMR的生产率。 我们的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NMR的化学子领域中的有用性。 C教授。E. McKenna，将研究使用昂贵同位素的NMR。 G教授。K. S.普拉卡什，碳13耦合实验将是重点。 NMR几乎在每个化学部门都被用于分析分子的结构和动力学，通常在溶液中，有时在固相中。 这些仪器价格昂贵，需要大量维护。 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NMR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.