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HPTLC Fingerprinting—Rapid Method for the Differentiation of Honeys of Different Botanical Origin Based on the Composition of the Lipophilic Fractions

机译:HPTLC指纹图谱—基于亲脂性组分组成快速区分不同植物来源的蜂蜜的方法

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摘要

Bee honey possess various nutritional and medicinal functions, which are the result of its diverse chemical composition. The numerous bioactive compounds in honey come from flower nectar; thus, the identification of the specific chemical profiles of honey samples is of great importance. The lipophilic compounds from eight monofloral honeys (rape, buckwheat, clover, willow, milk thistle, dandelion, raspberry and sweet yellow clover) were investigated. Analyses of the lipophilic fractions obtained by UAE (ultrasound assisted extraction) and SPE (solid phase extraction) extractions were performed using high-performance thin layer chromatography (HPTLC). Chromatographic and cluster analyses allowed the identification of a unique, colorful pattern of separated compounds with specific Rf values on the HPTLC plate for each type of monofloral honey. HPTLC is a simple and effective visual method of analysis, and it can serve as a basis for authenticating different types of honey.
机译:蜂蜂蜜具有多种营养和药用功能,这是其化学成分多样化的结果。蜂蜜中的多种生物活性化合物来自花蜜。因此,鉴定蜂蜜样品的特定化学特征非常重要。研究了来自八种单性蜂蜜(油菜,荞麦,三叶草,柳树,水飞蓟,蒲公英,覆盆子和甜黄三叶草)的亲脂性化合物。使用高效薄层色谱(HPTLC)对通过UAE(超声辅助萃取)和SPE(固相萃取)萃取获得的亲脂性馏分进行分析。通过色谱分析和聚类分析,可以鉴定出分离的化合物的独特,多彩的图案,每种类型的一元蜂蜜在HPTLC板上具有特定的Rf值。 HPTLC是一种简单有效的可视化分析方法,可作为鉴定不同类型蜂蜜的基础。

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