Department of Pharmaceutical Sciences Pietro Pratesi, Faculty of Pharmacy, University of Milan, Via Mangiagalli 25, 20133 Milan, Italy.
J Pharm Biomed Anal. 2012 Jan 25;58:193-9. doi: 10.1016/j.jpba.2011.09.006. Epub 2011 Sep 16.
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.
本文讨论了在检测蜂蜜质量控制指示参数方面,对 UV 响应成分进行分析并与化学计量技术适当结合的重要性。通过尺寸排阻 SEC-UV-DAD 对不同植物学和地理来源的蜂蜜中的微量成分进行了研究。在将蜂蜜注入色谱仪之前,我们用流动相进行稀释,单次色谱运行即可快速分析高(蛋白质和酶)、中(例如石灰树蜂蜜中的萜烯糖苷)和低分子量成分(次生代谢物,例如栗子蜂蜜中的犬尿氨酸)。对来自不同地区(意大利、西巴尔干国家、巴西、喀麦隆、肯尼亚)和不同植物学来源(草本花卉和木本花卉花蜜/蜜露)的 32 个蜂蜜样本的分析表明,这些标志物的分布具有独特性和特征性,这主要与其花卉来源有关。使用主成分分析(PCA)和色谱图(RT 与吸收)的层次聚类分析(HCA)对化学计量数据进行的检查检测到四个主要聚类,其中(i)栗子蜂蜜、(ii)来自雨林的蜂蜜和(iii)假冒/掺假蜂蜜组与主要的花蜜蜂蜜组明显分离。该方法快速,需要最小的样品处理,并且可以通过多元统计技术对色谱数据进行分析,以获得有关蜂蜜质量和成分的描述性信息。