Dipartimento di Scienze Farmaceutiche, Università di Modena e Reggio Emilia, via Campi 183, 41125 Modena, Italy.
Phytochem Anal. 2012 May-Jun;23(3):260-6. doi: 10.1002/pca.1352. Epub 2011 Aug 18.
Propolis is a resinous substance collected by bees from exudates of different plants that is rich in well-known health-relevant phenolic compounds such as flavonoids and phenolic acids. Propolis extracts are very complex matrices difficult to study. Different analytical methods are usable to analyse propolis extracts and to obtain chemical fingerprint but to our knowledge NMR has not previously been used for this purpose.
This study aims to demonstrate that it is possible to use ¹H-NMR for the simultaneous recognition of phenolic compounds in complex matrices, such as propolis extracts, using appropriate tools for spectra pre-treatment and analysis.
In this work 12 typical phenolic propolis compounds (apigenin, chrysin, galangin, kaempferol, quercetin, naringenin, pinocembrin, pinostrobin, caffeic acid, cinnamic acid, p-coumaric acid and ferulic acid) were considered as reference compounds and their presence in samples was verified by HPLC-MS. A simple ¹H-NMR sequence was used to obtain spectra of samples. Spectra were pre-treated by using an appropriate tool for spectra alignment and analysed by using software for the study of spectra originated from complex matrices. Sixty-five propolis samples were used to test the proposed identification procedure.
Ten out of 12 considered compounds were identified as statistically significant in most of the samples.
This work suggests that it is possible to efficiently use ¹H-NMR, coupled with appropriate spectral analytical tools, for the simultaneous detection of phenolic compounds in complex matrices.
蜂胶是蜜蜂从不同植物的分泌物中采集的一种树脂状物质,富含众所周知的与健康相关的酚类化合物,如类黄酮和酚酸。蜂胶提取物是非常复杂的基质,难以研究。不同的分析方法可用于分析蜂胶提取物并获得化学指纹图谱,但据我们所知,以前尚未将 NMR 用于此目的。
本研究旨在证明使用¹H-NMR 可以对复杂基质(如蜂胶提取物)中的酚类化合物进行同时识别,同时使用适当的光谱预处理和分析工具。
在这项工作中,考虑了 12 种典型的酚类蜂胶化合物(芹菜素、白杨素、高良姜素、山奈酚、槲皮素、柚皮素、橙皮素、乔松素、咖啡酸、肉桂酸、对香豆酸和阿魏酸)作为参考化合物,并通过 HPLC-MS 验证了它们在样品中的存在。使用简单的¹H-NMR 序列获得样品的光谱。通过使用适当的光谱对齐工具对光谱进行预处理,并使用用于研究复杂基质产生的光谱的软件对光谱进行分析。使用 65 个蜂胶样品来测试所提出的识别程序。
在所考虑的 12 种化合物中,有 10 种被确定为大多数样品中的统计显著化合物。
这项工作表明,¹H-NMR 与适当的光谱分析工具相结合,可以有效地用于同时检测复杂基质中的酚类化合物。