Dipartimento Di Scienze, Università Degli Studi Della Basilicata, Via dell'Ateneo Lucano 10, Potenza, Italy.
Agilent Technologies, Via Piero Gobetti, 2c, 20063, Cernusco sul Naviglio, Milan, Italy.
Anal Bioanal Chem. 2022 Nov;414(27):7805-7812. doi: 10.1007/s00216-022-04314-x. Epub 2022 Sep 19.
The chemical composition of wine samples comprises numerous bioactive compounds responsible for unique flavor and health-promoting properties. Thus, it's important to have a complete overview of the metabolic profile of new wine products in order to obtain peculiar information in terms of their phytochemical composition, quality, and traceability. To achieve this aim, in this work, a mass spectrometry-based phytochemical screening was performed on seven new wine products from Villa D'Agri in the Basilicata region (Italy), i.e., Aglianico Bianco, Plavina, Guisana, Giosana, Malvasia ad acino piccolo, Colata Murro and Santa Sofia. Ultra-high-resolution mass spectrometry data were processed into absorption mode FT-ICR mass spectra, in order to remove artifacts and achieve a higher resolution and lower levels of noise. Accurate mass-to-charge ratio (m/z) values were converted into putative elemental formulas. Therefore, 2D van Krevelen diagrams were used as a tool to obtain molecular formula maps useful to perform a rapid and more comprehensive analysis of the wine sample metabolome. The presence of important metabolite classes, i.e., fatty acid derivatives, amino acids and peptides, carbohydrates and phenolic derivatives, was assessed. Moreover, the comparison of obtained metabolomic maps revealed some differences among profiles, suggesting their employment as metabolic fingerprints. This study shed some light on the metabolic composition of seven new Italian wine varieties, improving their value in terms of related bioactive compound content. Moreover, different metabolomic fingerprints were obtained for each of them, suggesting the use of molecular maps as innovative tool to ascertain their unique metabolic profile.
葡萄酒样品的化学成分包含许多生物活性化合物,这些化合物赋予了葡萄酒独特的风味和促进健康的特性。因此,全面了解新葡萄酒产品的代谢谱对于获得其植物化学成分、质量和可追溯性方面的特殊信息非常重要。为了实现这一目标,本研究采用基于质谱的植物化学成分筛选方法,对来自意大利巴西利卡塔(Basilicata)地区维拉迪阿格里(Villa D'Agri)的七种新葡萄酒产品(Aglianico Bianco、Plavina、Guisana、Giosana、Malvasia ad acino piccolo、Colata Murro 和 Santa Sofia)进行了分析。超高效分辨率质谱数据被处理成吸收模式傅里叶变换离子回旋共振(FT-ICR)质谱,以去除伪影,实现更高的分辨率和更低的噪声水平。精确的质荷比(m/z)值被转换为可能的元素公式。因此,使用二维 van Krevelen 图作为工具,获得了用于快速、更全面地分析葡萄酒样品代谢组的分子公式图谱。评估了重要代谢物类别的存在,如脂肪酸衍生物、氨基酸和肽、碳水化合物和酚类衍生物。此外,对获得的代谢图谱的比较揭示了不同品种之间的一些差异,表明它们可作为代谢指纹用于鉴别。本研究阐明了七种意大利新葡萄酒品种的代谢组成,提高了它们在相关生物活性化合物含量方面的价值。此外,为每种葡萄酒都获得了不同的代谢指纹图谱,表明分子图谱可作为一种创新工具,用于确定其独特的代谢特征。