Suppr超能文献

挥发性成分组成和物理化学参数可作为区分柠檬桉蜜和橘花蜜的工具。

Volatile fraction composition and physicochemical parameters as tools for the differentiation of lemon blossom honey and orange blossom honey.

机构信息

Universidad Politécnica de Valencia, Institute of Food Engineering for Development (IUIAD), Food Technology Department (DTA),Valencia, Spain.

出版信息

J Sci Food Agric. 2011 Dec;91(15):2768-76. doi: 10.1002/jsfa.4520. Epub 2011 Jul 11.

Abstract

BACKGROUND

Volatile fraction profile and physicochemical parameters were studied with the aim of evaluating their effectiveness for the differentiation between lemon blossom honey (Citrus limon L.) and orange blossom honey (Citrus spp.). They would be useful complementary tools to the traditional analysis based on the percentage of pollen.

RESULTS

A stepwise discriminant analysis constructed using 37 volatile compounds (extracted by purge and trap and analysed by gas chromatography-mass spectrometry), and physicochemical and colour parameters (diastase, conductivity, Pfund colour and CIE L a b) together provided a model that permitted the correct classification of 98.3% of the original and 96.6% of the cross-validated cases, indicating its efficiency and robustness. This model proved its effectiveness in the differentiation of both types of honey with another set of batches from the following year.

CONCLUSION

This model, developed from the volatile compounds, physicochemical and colour parameters, has been useful for the differentiation of lemon and orange blossom honeys. Furthermore, it may be of particular interest for the attainment of a suitable classification of orange honey in which the pollen count is very low. These capabilities imply an evident marketing advantage for the beekeeping sector, since lemon blossom honey could be commercialized as unifloral honey and not as generic citrus honey and orange blossom honey could be correctly characterized.

摘要

背景

本研究旨在评估挥发性成分谱和理化参数在区分柠檬桉蜜(Citrus limon L.)和橘花蜜(Citrus spp.)中的有效性,以作为基于花粉含量的传统分析的补充工具。

结果

使用 37 种挥发性化合物(通过吹扫捕集和气相色谱-质谱法提取)以及理化和颜色参数(淀粉酶、电导率、Pfund 颜色和 CIE Lab)构建的逐步判别分析,共对 98.3%的原始样本和 96.6%的交叉验证样本进行了正确分类,表明该模型具有效率和稳健性。该模型在次年的另一批批次中也证明了其区分这两种蜂蜜的有效性。

结论

本研究从挥发性成分、理化和颜色参数出发,建立了一个模型,可用于区分柠檬桉蜜和橘花蜜。此外,该模型对于获得低花粉含量的橘花蜜的合适分类可能具有特别的意义。这些功能为养蜂业带来了明显的营销优势,因为柠檬桉蜜可以作为单花蜜进行商业化销售,而不是作为普通柑橘蜜进行销售,并且可以正确地描述橘花蜜的特征。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验