Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, 98168 Messina, Italy.
Department of Agriculture, Food Science and Environment (Di3A), University of Catania, 95127 Catania, Italy.
Molecules. 2022 May 23;27(10):3358. doi: 10.3390/molecules27103358.
The growing demand in natural matrices that represent a source of dietary and nutraceutical molecules has led to an increasing interest in , considered to be a multipurpose, sustainable crop. Particularly, the considerable content in essential fatty acids (FAs) makes its derived-products useful food ingredients in the formulation of dietary supplements. In this research, the FA and triacylglycerol (TAG) composition of hempseed oils and flours were investigated using gas chromatography coupled to mass spectrometry and flame ionization detection as well as liquid chromatography coupled to mass spectrometry (LC-MS), respectively. Furthermore, a recently introduced linear retention index (LRI) approach in LC was successfully employed as a useful tool for the reliable identification of TAG species. A total of 30 FAs and 62 glycerolipids were positively identified in the investigated samples. Relative quantitative analyses confirmed linoleic acid as the most abundant component (50-55%). A favorable omega6/omega3 ratio was also measured in hemp-derived products, with the α-linolenic acid around 12-14%. Whereas, γ-linolenic acid was found to be higher than 1.70%. These results confirm the great value of as a source of valuable lipids, and the further improvement of the LRI system paves the way for the automatization of the identification process in LC.
日益增长的对天然基质的需求,这些基质是饮食和营养分子的来源,这导致人们对大麻(hemp)越来越感兴趣,大麻被认为是一种多用途的可持续作物。特别是其必需脂肪酸(FAs)含量相当高,这使得其衍生产品成为膳食补充剂配方中有用的食品成分。在这项研究中,使用气相色谱法(GC)结合质谱和火焰电离检测(FID)以及液相色谱法(LC)结合质谱(LC-MS)分别研究了大麻籽油和大麻粉中的脂肪酸(FA)和三酰基甘油(TAG)组成。此外,最近在 LC 中引入的线性保留指数(LRI)方法成功地用作可靠鉴定 TAG 种类的有用工具。在所研究的样品中,共鉴定出 30 种 FAs 和 62 种甘油酯。相对定量分析证实亚油酸是最丰富的成分(50-55%)。大麻衍生产品中的ω6/ω3 比值也很好,α-亚麻酸约为 12-14%。而γ-亚麻酸的含量高于 1.70%。这些结果证实了大麻作为有价值脂质的重要来源,进一步改进 LRI 系统为 LC 中的鉴定过程自动化铺平了道路。