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首页> 外文期刊>Journal of Pharmaceutical and Biomedical Analysis: An International Journal on All Drug-Related Topics in Pharmaceutical, Biomedical and Clinical Analysis >Simple and rapid simultaneous profiling of minor components of honey by size exclusion chromatography (SEC) coupled to ultraviolet diode array detection (UV-DAD), combined with chemometric methods.
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Simple and rapid simultaneous profiling of minor components of honey by size exclusion chromatography (SEC) coupled to ultraviolet diode array detection (UV-DAD), combined with chemometric methods.

机译:通过尺寸排阻色谱法(SEC)与紫外二极管阵列检测(UV-DAD)结合化学计量学方法,可以快速简便地同时分析蜂蜜中的微量成分。

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摘要

This paper discusses the importance of profiling UV-responsive components, properly integrated with chemometric techniques, in detecting indicative parameters for quality control of honey. The minor components in honeys of different botanical and geographical origins were investigated by size SEC-UV-DAD. We diluted honey with mobile phase before injection into the chromatographic apparatus and a single chromatographic run gave a fast profile of high- (proteins and enzymes), intermediate- (e.g. terpenoid glycosides in lime tree honey) and low-molecular-weight components (secondary metabolites, e.g. kynurenic acid in chestnut honey). The analysis of a total number of 32 honey samples from different regions (Italy, Western Balkan countries, Brazil, Cameroon, Kenya) and of different botanical origins (herbal flower and arboreal flower nectars/honeydews) showed peculiar and characteristic distribution of these markers, which were basically related to their floral origin. Chemometric examination carried out using principal component analysis (PCA) and hierarchical cluster analysis (HCA) of the chromatograms (RT vs. absorption) detected four main clusters in which the groups of (i) chestnut honeys, (ii) honeys from rain forests and (iii) counterfeit/adulterated honeys were clearly separated from the main group of flower nectar honeys. The method is fast, requiring minimal sample handling, and the chromatographic data can be analyzed by multivariate statistical techniques to obtain descriptive information about the honey's quality and composition.
机译:本文讨论了与化学计量学技术正确集成的对UV敏感的成分进行分析在检测蜂蜜质量控制的指示性参数中的重要性。通过大小SEC-UV-DAD研究了不同植物和地理来源的蜂蜜中的微量成分。在注入色谱仪之前,我们用流动相稀释了蜂蜜,并进行了一次色谱分析,快速分析了高(蛋白质和酶),中间(例如lime树蜂蜜中的萜类糖苷)和低分子量组分(次级代谢物,例如栗子蜜中的犬尿酸)。对来自不同地区(意大利,西巴尔干国家,巴西,喀麦隆,肯尼亚)和不同植物来源(草药花和树上花蜜/蜜露)的32种蜂蜜样品进行的分析表明,这些标记物具有特殊的特征分布,基本上与它们的花起源有关。使用色谱的主成分分析(PCA)和层次聚类分析(HCA)进行的化学计量学检查(RT与吸收)检测到四个主要簇,其中(i)板栗蜂蜜,(ii)雨林蜂蜜和(iii)假冒/掺假蜂蜜与主要的花蜜品种明显分开。该方法快速,需要最少的样品处理,并且色谱数据可以通过多元统计技术进行分析,以获得有关蜂蜜质量和成分的描述性信息。

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