MANGANESE IMPURITY SPECTRAL SUBTRACTION PROGRAM

锰杂质光谱减法程序

• 批准号: 8172191
• 负责人: DMITRIY TIPIKIN
• 金额: $ 1.54万
• 依托单位: CORNELL UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8172191
• 关键词: Biological; 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.

该子项目是利用该技术的众多研究子项目之一 资源由 NIH/NCRR 资助的中心拨款提供。子项目和 研究者 (PI) 可能已从 NIH 的另一个来源获得主要资金， 因此可以在其他 CRISP 条目中表示。列出的机构是 对于中心来说，它不一定是研究者的机构。 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​​旋晶格弛豫的特殊性，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增强信噪比，因此窄的杂质线形常常被过调制，并且不容易减去杂质线。我们已经开始研究一种计算算法，以允许精确减去杂质线，以便恢复后续分析所需的光谱。