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采用高性能液相色谱法与多检测进行综合样本分析。

Comprehensive sample analysis using high performance liquid chromatography with multi-detection.

机构信息

Australian Centre for Research on Separation Sciences (ACROSS), School of Science and Health, University of Western Sydney (Parramatta), NSW 1797, Australia.

出版信息

Anal Chim Acta. 2013 Nov 25;803:188-93. doi: 10.1016/j.aca.2013.08.013. Epub 2013 Sep 5.

DOI:10.1016/j.aca.2013.08.013
PMID:24216214
Abstract

Herein we assess the separation space offered by a liquid chromatography system with an optimised uni-dimensional separation for the determination of the key chemical entities in the highly complex matrix of a tobacco leaf extract. Multiple modes of detection, including UV-visible absorbance, chemiluminescence (acidic potassium permanganate, manganese(IV), and tris(2,2'-bipyridine)ruthenium(III)), mass spectrometry and DPPH radical scavenging were used in an attempt to systematically reduce the data complexity of the sample whilst obtaining a greater degree of molecule-specific information. A large amount of chemical data was obtained, but several limitations in the ability to assign detector responses to particular compounds, even with the aid of complementary detection systems, were observed. Thirty-three compounds were detected via MS on the tobacco extract and 12 out of 32 compounds gave a peak height ratio (PHR) greater than 0.33 on one or more detectors. This paper serves as a case study of these limitations, illustrating why multidimensional chromatography is an important consideration when developing a comprehensive chemical detection system.

摘要

在此,我们评估了一种液相色谱系统提供的分离空间,该系统采用优化的一维分离,用于测定烟草叶提取物这一高度复杂基质中的关键化学物质。采用多种检测模式,包括紫外可见吸收、化学发光(酸性高锰酸钾、高锰酸四、三(2,2'-联吡啶)钌(III))、质谱和 DPPH 自由基清除,试图系统地降低样品的数据复杂性,同时获得更高程度的分子特异性信息。获得了大量的化学数据,但即使借助互补的检测系统,也观察到将检测器响应分配给特定化合物的能力存在一些限制。通过 MS 在烟草提取物中检测到 33 种化合物,其中 12 种化合物在一个或多个检测器上的峰高比(PHR)大于 0.33。本文作为这些限制的案例研究,说明了为什么在开发全面的化学检测系统时,多维色谱是一个重要的考虑因素。

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