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鉴定、定量和稳定碳同位素测定单花蜂蜜中的有机酸。一种用于植物学和真实性控制的有力工具。

Identification, quantification and carbon stable isotopes determinations of organic acids in monofloral honeys. A powerful tool for botanical and authenticity control.

机构信息

Université de Lyon, Institut des Sciences Analytiques, Département Service Central d'Analyse, UMR 5280 CNRS, Université Lyon1, ENS-Lyon, 5 rue de la Doua, 69100 Villeurbanne, France.

出版信息

Rapid Commun Mass Spectrom. 2012 Sep 15;26(17):1993-8. doi: 10.1002/rcm.6310.

DOI:10.1002/rcm.6310
PMID:22847698
Abstract

RATIONALE

The analytical composition and botanical origin of honey are basic data used to determine the quality of this foodstuff. Although proteins are used to characterise the analytical composition of honey, they can be eliminated during its ultrafiltration and, in the case of honeys not saturated with their own pollen, the use of proteins does not work well. As acidity is a well-known characteristic of honey and organic acids are present at around 0.5% in honey, we therefore investigated an alternative method to the protein-based White method, using organic acids as new internal standards instead of proteins.

METHODS

The qualitative and quantitative analyses of 14 organic acids were carried out by ion chromatography with an electrochemical detector. The (13)C/(12)C isotopic ratios of the honeys, and of the organic acids extracted from them with an anion exchange resin, were determined by isotope ratio mass spectrometry.

RESULTS

Gluconic acid is the predominant organic acid in honey, at between 1.8 and 12.7 g/kg. For fir honey the major acid is galacturonic acid at around 4.6 g/kg. The isotopic ratios of honeys and of their acids are strongly linked. Correlations between the δ(13)C values of the honey and the acids were significant, and better than those obtained using proteins.

CONCLUSIONS

This study has provided a method to differentiate honeys from seven botanical origins, based on organic acid analysis. By combining various organic acid contents and isotopic ratio values through statistical processing by Principal Component Analysis it is possible to differentiate honey samples as a function of their botanical origin.

摘要

原理

蜂蜜的分析成分和植物来源是用于确定这种食品质量的基本数据。虽然蛋白质用于描述蜂蜜的分析成分,但它们可以在超滤液过程中被去除,并且对于未被自身花粉饱和的蜂蜜,使用蛋白质的效果不佳。由于酸度是蜂蜜的一个众所周知的特征,并且有机酸在蜂蜜中的含量约为 0.5%,因此我们研究了一种替代基于蛋白质的 White 方法的方法,使用有机酸作为新的内标物代替蛋白质。

方法

通过离子色谱法和电化学检测器对 14 种有机酸进行定性和定量分析。使用阴离子交换树脂从蜂蜜及其有机酸中提取的(13)C/(12)C 同位素比值通过同位素比质谱法测定。

结果

葡萄糖酸是蜂蜜中的主要有机酸,含量在 1.8 至 12.7 g/kg 之间。对于 fir 蜂蜜,主要酸是半乳糖醛酸,约为 4.6 g/kg。蜂蜜及其酸的同位素比值密切相关。蜂蜜的 δ(13)C 值与酸之间的相关性显著,优于使用蛋白质获得的相关性。

结论

本研究提供了一种基于有机酸分析来区分来自七个植物来源的蜂蜜的方法。通过通过主成分分析进行统计处理,结合各种有机酸含量和同位素比值值,可以根据植物来源对蜂蜜样品进行区分。

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