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Detection selectivity in the analysis of 'reactive' chemical compounds derived from natural samples via reaction flow chromatography

机译:通过反应流动色谱法分析自然样品的“反应性”化合物分析中的检测选择性

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摘要

The study of two commonly used post-column derivatisation (PCD) approaches for the selective detection of "bioactive" compounds in natural products were investigated- the 'phenolic' assay as the name suggests was responsive to phenolic compounds, while the Ferric Reducing Antioxidant Power (FRAP) assay was responsive to antioxidants. Detailed assessment of the peaks (based largely on retention time) that were observed in both detection modes for five beverage samples (four teas and one coffee) revealed the presence of a total of 56 compounds. Eight compounds were not detected by the FRAP assay and 13 were not observed by the phenolic assay. A geometric approach to factor analysis (GAFA) was applied to the detection sensitivity, and this analysis showed the correlation between these two assays was 0.67 and the spreading angle between the detection vectors was 47. Such outcomes are usually indicative of a multidimensional separation approach, but in this study this was achieved only from the detection protocol. Hence, when employing PCD to determine the 'activity' of samples derived from natural origin, testing should be conducted using multiple selective detection processes. (C) 2018 Elsevier B.V. All rights reserved.
机译:研究了两种常用的柱柱衍生化(PCD)的选择性检测自然产物中的“生物活性”化合物的方法的研究被研究 - “酚醛酸”测定,因为名称表明对酚类化合物有响应于酚类化合物,而过低抗氧化能力(FRAP)测定对抗氧化剂敏感。在五种饮料样品(四茶茶和一杯)的检测模式中观察到峰值(主要基于保留时间)的详细评估显示,存在总共56种化合物的存在。通过酚类测定法未检测到含有八个化合物的化合物,并且酚类测定未观察到13。将要素分析(GAFA)的几何方法应用于检测灵敏度,并且该分析显示了这两个测定之间的相关性为0.67,并且检测向量之间的扩展角度为47.这种结果通常表示多维分离方法,但在这项研究中,这仅是从检测方案实现的。因此,当采用PCD来确定来自自然来源的样本的“活动”时,应使用多个选择性检测过程进行测试。 (c)2018 Elsevier B.v.保留所有权利。

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