Suppr超能文献

基于自动 NMR 的蜂蜜真实性评估方案。

Automatic NMR-based protocol for assessment of honey authenticity.

机构信息

Department of Chemical Sciences, University of Padova, via Marzolo 1, 35131 Padova, Italy.

Piana Ricerca e Consulenza s.r.l. a socio unico, Via Umbria 41, 40024 Castel San Pietro Terme (BO), Italy.

出版信息

Food Chem. 2023 Sep 15;420:136094. doi: 10.1016/j.foodchem.2023.136094. Epub 2023 Apr 5.

Abstract

H NMR analysis of organic extracts of honey is a powerful technique to confirm its botanical origin, thanks to the presence of signals that are specific to each floral typology. Similarly, signals from bee metabolites provide an important tool to verify honey entomological origin. Here, we present a method for honey screening that does not require any detailed analysis of the NMR spectrum for the detection and quantification of such markers. Our approach is based on the measurement of two spectral parameters, named entomological factor (EF) and aromatic factor (AF), calculated by integration of well-defined regions of the NMR spectrum. The values of EF and AF can reveal direct or indirect dilution of honey with sugar syrups. This method was tested on honeys of different floral origins and could identify all adulterated samples previously recognized by official techniques. Notably, several samples found compliant by official methods were proven non-genuine by the proposed approach.

摘要

NMR 分析有机提取物的蜂蜜是一种强大的技术来确认其植物起源,由于信号的存在是特定的每一种花卉类型。同样,从蜜蜂代谢物的信号提供了一个重要的工具来验证蜂蜜昆虫学起源。在这里,我们提出了一种方法来筛选蜂蜜,不需要任何详细的分析 NMR 光谱检测和定量的这些标记。我们的方法是基于测量两个光谱参数,命名为昆虫因子(EF)和芳香因子(AF),通过整合 NMR 光谱的定义区域来计算。EF 和 AF 的值可以揭示蜂蜜与糖浆的直接或间接稀释。该方法测试了不同花卉起源的蜂蜜,并能识别所有以前被官方技术认可的掺假样品。值得注意的是,一些被官方方法认定为合格的样品,被该方法证明是不真实的。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验