Ren J Y, Chang C Q, Fung P C W, Shen J G, Chan F H Y
Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong.
J Magn Reson. 2004 Jan;166(1):82-91. doi: 10.1016/j.jmr.2003.10.015.
In this paper, we propose a novel approach for electron paramagnetic resonance (EPR) mixture spectra analysis based on blind source separation (BSS) technique. EPR spectrum of a free radical is often superimposed by overlapping spectra of other species. It is important and challenging to accurately identify and quantify the 'pure' spectra from such mixtures. In this study, an automated BSS method implementing independent component analysis is used to extract the components from mixed EPR spectra that contain overlapping components of different paramagnetic centers. To apply this method, there is no requirement to know the component spectra or the number of components in advance. The method is applied to analyze free radical EPR spectra which are collected from standard chemical system, cultured cell suspense, and ex vivo rat kidneys by spin trapping EPR technique. Results show that the BSS method proposed here is capable of identifying the component EPR spectra from mixtures with unknown compositions. The BSS technique can offer powerful aids in resolving spectral overlapping problems in general EPR spectroscopy analysis.
在本文中，我们提出了一种基于盲源分离（BSS）技术的电子顺磁共振（EPR）混合光谱分析新方法。自由基的EPR光谱常常被其他物质的重叠光谱所叠加。从这类混合物中准确识别和量化“纯净”光谱既重要又具有挑战性。在本研究中，一种实施独立成分分析的自动化BSS方法被用于从包含不同顺磁中心重叠成分的混合EPR光谱中提取成分。应用该方法时，无需预先知道成分光谱或成分数量。该方法被应用于分析通过自旋捕获EPR技术从标准化学体系、培养的细胞悬液和离体大鼠肾脏中收集的自由基EPR光谱。结果表明，本文提出的BSS方法能够从成分未知的混合物中识别出成分EPR光谱。BSS技术在解决一般EPR光谱分析中的光谱重叠问题方面可提供有力帮助。
