蜂蜜掺假的 HPLC-DAD 鉴别及化学计量学分析

HPLC-DAD Identification and Chemometric Analysis of Honey Adulteration

摘要

蜂蜜掺假不仅严重威胁广大消费者的健康安全，也扰乱了正常的市场秩序，为此，食品安全检验机构引入了HPLC-DAD技术，即高效液相色谱-二极管阵列检测技术，以测定蜂蜜当中的掺假成分。并通过主成分分析、偏最小二乘差别分析、Fisher判别分析等化学计量学方法，对HPLC-DAD检测数据进行统计分析，然后根据分析结果构建掺假比例预测模型。结果显示：纯正蜂蜜与掺假蜂蜜在特征成分指纹图谱上存在明显差异，借助于PCA与PLS-DA模型能够准确区分纯蜂蜜与掺假蜂蜜，鉴别准确率高达98.5%以上，这就给蜂蜜掺假的快速精准检测提供了强大的技术支撑，并且对保障食品安全意义深远。

Abstract

Honey adulteration not only poses a serious threat to the health and safety of consumers but also disrupts normal market order. To address this, food safety testing institutions have introduced HPLC-DAD technology, that is, High-Performance Liquid Chromatography with Diode Array Detection, to detect adulterated components in honey. Chemometric methods such as Principal Component Analysis (PCA), Partial Least Squares Discriminant Analysis (PLS-DA), and Fisher Discriminant Analysis are employed to statistically analyze HPLC-DAD data, based on which a predictive model for adulteration levels is constructed. The results show that there are significant differences in the characteristic component fingerprint profiles between pure and adulterated honey. Using PCA and PLS-DA models, pure honey and adulterated honey can be accurately distinguished, with an identification accuracy rate exceeding 98.5%. This provides strong technical support for rapid and precise detection of honey adulteration and has far-reaching significance for ensuring food safety.

关键词

蜂蜜掺假 / HPLC-DAD / 鉴别方法 / 化学计量

Key words

honey adulteration / HPLC-DAD / identification method / chemometrics

参考文献

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