高效液相色谱-电化学检测指纹图谱鉴别3种单花种蜂蜜花源

Authentication of Three Monofloral Honeys by High Performance Liquid Chromatography with Electrochemical Detection

基于高效液相色谱-电化学检测器(high performance liquid chromatography-electrochemical detection,HPLC-ECD)技术建立一种新的蜂蜜花源鉴别方法。以采自中国不同地区的3种单花种蜂蜜为研究对象,构建了3种单花种蜂蜜的HPLC-ECD指纹图谱,提取HPLC-ECD图谱共有峰面积信息并应用主成分分析和系统聚类分析进行蜂蜜花源分类,并对完全未参与建模的蜂蜜样品进行验证。结果表明,45个蜂蜜样品(枸杞蜜、荆条蜜、荔枝蜜各15个),均可通过主成分分析和系统聚类分析按照其花源正确分类,正确率达到100%。该蜂蜜花源鉴别的模型对完全未参与建模的枸杞蜜、荆条蜜和荔枝蜜样品的正确预判率可达到100%、80%和100%。研究表明,HPLCECD指纹图谱技术应用主成分分析和系统聚类分析可以作为一种快速、准确、绿色的判别蜂蜜花源的方法。

A novel method for the identification of the floral origins of honeys was established by high performance liquid chromatography with electrochemical detection (HPLC-ECD). The HPLC-ECD fingerprints of three monofloral honeys collected from different areas of China were established. From the HPLC-ECD fingerprints, the areas of the common peaks were obtained and principal component analysis (PCA) and hierarchical cluster analysis (HCA) were performed to classify 45 honey samples (15 medlar honey samples, 15 vitex honey samples, and 15 litchi honey samples) according to their floral origins. These samples were successfully classified by PCA and HCA with 100% correct classification rates. To evaluate the reliability of the model based on 45 honey samples, some medlar honey, vitex honey and litchi honey samples which were not included in the modeling sample set were validated with correct prediction rates of 100%, 80% and 100%, respectively.The results indicated that HPLC-ECD combined with PCA and HCA may be used as a fast, accurate and environmentally safe method to differentiate honeys according to their floral origins.