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点到点匹配算法在在线液相色谱-傅里叶变换红外光谱(LC-FTIR)中的背景校正中的应用。

Application of point-to-point matching algorithms for background correction in on-line liquid chromatography-Fourier transform infrared spectrometry (LC-FTIR).

机构信息

Department of Analytical Chemistry, Universitat de València, Edificio Jeroni Muñoz, 50th Dr Moliner, 46100 Burjassot, Spain.

出版信息

Talanta. 2010 Mar 15;80(5):1771-6. doi: 10.1016/j.talanta.2009.10.021. Epub 2009 Nov 6.

DOI:10.1016/j.talanta.2009.10.021
PMID:20152409
Abstract

A new background correction method for the on-line coupling of gradient liquid chromatography and Fourier transform infrared spectrometry has been developed. It is based on the use of a point-to-point matching algorithm that compares the absorption spectra of the sample data set with those of a previously recorded reference data set in order to select an appropriate reference spectrum. The spectral range used for the point-to-point comparison is selected with minimal user-interaction, thus facilitating considerably the application of the whole method. The background correction method has been successfully tested on a chromatographic separation of four nitrophenols running acetonitrile (0.08%, v/v TFA):water (0.08%, v/v TFA) gradients with compositions ranging from 35 to 85% (v/v) acetonitrile, giving accurate results for both, baseline resolved and overlapped peaks.

摘要

一种新的用于梯度液相色谱和傅里叶变换红外光谱在线偶联的背景校正方法已经开发出来。它基于使用点到点匹配算法,该算法比较样品数据集的吸收光谱与先前记录的参考数据集的吸收光谱,以选择合适的参考光谱。用于点到点比较的光谱范围是使用最小的用户交互选择的,从而极大地促进了整个方法的应用。该背景校正方法已成功应用于四种硝基苯酚的色谱分离,流动相为乙腈(0.08%,v/v TFA):水(0.08%,v/v TFA)梯度,组成范围从 35%到 85%(v/v)乙腈,对基线分辨和重叠峰都能得到准确的结果。

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