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基于化学成分对波兰天然蜂蜜进行分类。

Classification of Polish Natural Bee Honeys Based on Their Chemical Composition.

机构信息

Institute of Organic Chemistry, Faculty of Chemistry, Lodz University of Technology, Zeromskiego 116, 90-924 Lodz, Poland.

出版信息

Molecules. 2022 Jul 28;27(15):4844. doi: 10.3390/molecules27154844.

Abstract

The targeted quantitative NMR (qNMR) approach is a powerful analytical tool, which can be applied to classify and/or determine the authenticity of honey samples. In our study, this technique was used to determine the chemical profiles of different types of Polish honey samples, featured by variable contents of main sugars, free amino acids, and 5-(hydroxymethyl)furfural. One-way analysis of variance (ANOVA) was performed on concentrations of selected compounds to determine significant differences in their levels between all types of honey. For pattern recognition, principal component analysis (PCA) was conducted and good separations between all honey samples were obtained. The results of present studies allow the differentiation of honey samples based on the content of sucrose, glucose, and fructose, as well as amino acids such as tyrosine, phenylalanine, proline, and alanine. Our results indicated that the combination of qNMR with chemometric analysis may serve as a supplementary tool in specifying honeys.

摘要

靶向定量核磁共振(qNMR)方法是一种强大的分析工具,可用于对蜂蜜样品进行分类和/或确定其真实性。在我们的研究中,该技术用于确定不同类型波兰蜂蜜样品的化学特征,其特征在于主要糖、游离氨基酸和 5-(羟甲基)糠醛的含量不同。采用单因素方差分析(ANOVA)对选定化合物的浓度进行分析,以确定所有类型蜂蜜中这些化合物水平的显著差异。为了进行模式识别,进行了主成分分析(PCA),并获得了所有蜂蜜样品之间的良好分离。本研究的结果允许根据蔗糖、葡萄糖和果糖的含量以及酪氨酸、苯丙氨酸、脯氨酸和丙氨酸等氨基酸对蜂蜜样品进行区分。我们的结果表明,qNMR 与化学计量分析的结合可以作为指定蜂蜜的补充工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d3a/9369904/e8d6f6d4890f/molecules-27-04844-g001.jpg

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