MANGANESE IMPURITY SPECTRAL SUBTRACTION PROGRAM

这个子项目是利用资源的许多研究子项目之一。 由NIH/NCRR资助的中心拨款提供。对子项目的主要支持 子项目的首席调查员可能是由其他来源提供的， 包括美国国立卫生研究院的其他来源。为子项目列出的总成本可能 表示该子项目使用的中心基础设施的估计数量， 不是由NCRR赠款提供给次级项目或次级项目工作人员的直接资金。 在高场电子顺磁共振中，强锰信号的问题是众所周知的。不幸的是，由于其自旋晶格驰豫的特殊性，即使采用了仔细的样品制备技术，这种信号在生物样品中也几乎无处不在。由于生物样品通常需要很高的调制幅度来提高信噪比，因此窄的杂质线形往往被过调制，不容易减去杂质线。我们已经开始了一种计算算法的工作，以允许准确地减去杂质线，以便恢复所需的光谱，以便随后进行分析。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. The problem of a strong manganese signal is very well known in high-field EPR. Unfortunately, because of the peculiarities of its spin-lattice relaxation this signal is nearly ubiquitous in biological samples even with careful sample preparation techniques. Since biological samples usually need quite high modulation amplitude to enhance the signal to noise ratio, the narrow impurity lineshape is often overmodulated and it is not easy to subtract the impurity line. We have started work on a computational algorithm to allow for accurate subtraction of the impurity line in order to recover the desired spectrum for subsequent analysis.