Noda Isao
The Procter & Gamble Company, West Chester, Ohio 45069, USA.
Anal Sci. 2007 Feb;23(2):139-46. doi: 10.2116/analsci.23.139.
Application of generalized two-dimensional (2D) correlation in various analytical fields is explored. 2D correlation is a powerful and versatile technique applicable to spectroscopy, chromatography, and other measurements. Construction of 2D spectra is relatively straightforward, requiring only a series of systematically varying analytical signals, like spectra or chromatograms, induced by an external perturbation applied to the system of interest. Perturbation can take many different forms, like change in temperature, pressure or concentration, chemical reactions, electrical or mechanical stimuli, and so on. A set of analytical signals collected under a perturbation are then converted to 2D correlation spectra, which provide rich and useful information about the presence of coordinated or independent changes among signals, as well as relative directions and sequential order of signal intensity variations. The signal resolution is also enhanced by spreading overlapped bands along the second dimension. Illustrative examples of 2D correlation are given for spectroscopic and chromatographic applications.
探讨了广义二维(2D)相关在各种分析领域中的应用。二维相关是一种强大且通用的技术,适用于光谱学、色谱法及其他测量。二维光谱的构建相对简单,仅需要一系列由施加于感兴趣系统的外部扰动所诱导的、系统变化的分析信号,如光谱或色谱图。扰动可以有许多不同形式,如温度、压力或浓度的变化、化学反应、电或机械刺激等。然后,将在一次扰动下收集的一组分析信号转换为二维相关光谱,其提供了关于信号间协同或独立变化的存在、以及信号强度变化的相对方向和顺序的丰富且有用的信息。通过沿第二维展开重叠谱带,信号分辨率也得以提高。给出了二维相关在光谱和色谱应用中的示例。