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基于脯氨酸和酚类含量作为植物来源标记物,运用多变量分析对中国单花蜂蜜进行表征。

Characterization of Chinese Unifloral Honeys Based on Proline and Phenolic Content as Markers of Botanical Origin, Using Multivariate Analysis.

作者信息

Wen Ya-Qin, Zhang Jinzhen, Li Yi, Chen Lanzhen, Zhao Wen, Zhou Jinhui, Jin Yue

机构信息

Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing 100093, China.

Bee Product Quality Supervision and Testing Center, Ministry of Agriculture, Beijing 100093, China.

出版信息

Molecules. 2017 May 17;22(5):735. doi: 10.3390/molecules22050735.

Abstract

The phenolic and proline content were determined in honey samples of different floral origins (rapeseed, sunflower, buckwheat and ) from five different regions of China. The phenolic and proline profile of these samples were used to construct a statistical model to distinguish honeys from different floral origins. Significant differences were identified among the studied honey samples from multivariate chemometric methods. The proline content varied among the four types of honeys, with the values decreasing in the order: buckwheat > > sunflower > rapeseed. Rapeseed honeys contained a high level of benzoic acid, while rutin, -coumaric acid, -hydroxybenzoic acid were present at relatively high levels in buckwheat honeys. Principal component analysis (PCA) revealed that rapeseed honey could be distinguished from the other three unifloral honeys, and benzoic acid, proline and kaempferol could serve as potential floral markers. Using 18 phenolic compounds and proline the honey samples were satisfactorily classified according to floral origin at 94% correct prediction by linear discriminant analysis (LDA). The results indicated that phenolic compounds and proline were useful for the identification of the floral origin of the four type honeys.

摘要

对来自中国五个不同地区的不同花源(油菜籽、向日葵、荞麦等)的蜂蜜样本中的酚类和脯氨酸含量进行了测定。利用这些样本的酚类和脯氨酸谱构建了一个统计模型,以区分不同花源的蜂蜜。通过多元化学计量方法在研究的蜂蜜样本中发现了显著差异。四种蜂蜜中的脯氨酸含量各不相同,其值按以下顺序递减:荞麦>[此处原文缺失一种花源]>向日葵>油菜籽。油菜籽蜂蜜含有高水平的苯甲酸,而芦丁、对香豆酸、对羟基苯甲酸在荞麦蜂蜜中的含量相对较高。主成分分析(PCA)表明,油菜籽蜂蜜可以与其他三种单花蜂蜜区分开来,苯甲酸、脯氨酸和山奈酚可作为潜在的花源标志物。利用18种酚类化合物和脯氨酸,通过线性判别分析(LDA)对蜂蜜样本进行了令人满意的分类,按花源分类的正确预测率为94%。结果表明,酚类化合物和脯氨酸有助于鉴定这四种蜂蜜的花源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b5c/6154540/bd0a370c2e90/molecules-22-00735-g001.jpg

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