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.

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此可以在其他清晰的条目中代表。列出的机构是 对于中心，这不一定是调查员的机构。 在高场EPR中，强烈的锰信号的问题众所周知。不幸的是，由于其自​​旋晶格松弛的特殊性，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号与噪声比，因此狭窄的杂质线形通常被过度调制，并且减去杂质线并不容易。我们已经开始使用计算算法来进行杂质线的准确减法，以恢复所需的光谱以进行后续分析。