MANGANESE IMPURITY SPECTRAL SUBTRACTION PROGRAM

锰杂质光谱减法程序

• 批准号: 7956713
• 负责人: DMITRIY TIPIKIN
• 金额: $ 1.61万
• 依托单位: CORNELL UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7956713
• 关键词: Biological; Computational algorithm; Computer Retrieval of Information on Scientific Projects Database; Funding; Grant; Institution; Manganese; Noise; Preparation; Relaxation; Research; Research Personnel; Resources; Sampling; Signal Transduction; Source; Techniques; Technology; United States National Institutes of Health; Work; programs

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. 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.

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 强锰信号的问题在高场EPR中是众所周知的。不幸的是，由于其自旋-晶格弛豫的特性，即使采用仔细的样品制备技术，该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相当高的调制幅度来提高信噪比，窄的杂质谱线常常被过调制，并且不容易减去杂质谱线。我们已经开始了计算算法的工作，以允许准确扣除杂质线，以恢复所需的光谱用于后续分析。