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

被引:8
作者
Beretta, Giangiacomo [1 ]
Fermo, Paola [2 ]
Facino, Roberto Maffei [1 ]
机构
[1] Univ Milan, Fac Pharm, Dept Pharmaceut Sci Pietro Pratesi, I-20133 Milan, Italy
[2] Univ Milan, Fac Pharm, Dept Chem, I-20133 Milan, Italy
关键词
Size exclusion chromatography; UV-DAD; Honey; Chemometrics; QUALITY EVALUATION; BOTANICAL ORIGIN; FLORAL ORIGIN; IDENTIFICATION; ACID; MARKERS;
D O I
10.1016/j.jpba.2011.09.006
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
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 (RI 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. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:193 / 199
页数:7
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