University of Chemistry and Technology, Department of Food Chemistry and Analysis, Prague, Czech Republic.
University of Chemistry and Technology, Department of Food Chemistry and Analysis, Prague, Czech Republic.
Food Chem. 2021 Nov 1;361:130166. doi: 10.1016/j.foodchem.2021.130166. Epub 2021 May 21.
Use of 'green biomass' of the grapevine is gradually extending into the food industry. The aim of our study was to demonstrate the potential of metabolomic fingerprinting for characterization of grapevine leaves and canes. Our method comprises successive aqueous-methanolic extractions, followed by U-HPLC-HRMS/MS. For data processing, PCA and (O)PLS-DA methods were utilized, and mathematical models were validated. We showed that from all factors investigated, harvesting season explained most of the variability between samples, followed by locality combined with farming system. The identified statistically significant metabolites for harvesting season models mostly represented the groups of fatty acids, fatty phenols, (lyso)phospholipids, flavonoids and organic acids. For models of localities with different farming systems, majority of identified metabolites significant for organic farming belonged to groups of fatty acids and their derivatives, terpenoids, sterols, and fat soluble vitamins, whereas for conventional farming, the only identified significant metabolites were the pesticide residues.
葡萄的“绿色生物质”的使用正逐渐扩展到食品工业。我们研究的目的是展示代谢组指纹图谱在表征葡萄叶和葡萄藤方面的潜力。我们的方法包括连续的水-甲醇提取，随后进行 U-HPLC-HRMS/MS 分析。对于数据处理，我们使用了 PCA 和（O）PLS-DA 方法，并对数学模型进行了验证。我们表明，在所研究的所有因素中，收获季节对样品之间的变异性解释最多，其次是产地和种植制度。对于与收获季节模型相关的统计学上显著的代谢物，它们主要代表脂肪酸、脂肪酸酚、（溶血）磷脂、类黄酮和有机酸等组。对于具有不同种植制度的产地模型，有机农业中大多数与脂肪酸及其衍生物、萜类化合物、甾醇和脂溶性维生素相关的代谢物具有显著意义，而对于常规农业，唯一鉴定出的显著代谢物是农药残留。
