Analytical Food Chemistry, Technische Universität München, Alte Akademie 10, 85354 Freising-Weihenstephan, Germany; Research Unit Analytical BioGeoChemistry, Department of Environmental Sciences, Helmholtz Zentrum München, Ingolstaedter Landstrasse 1, 85764 Neuherberg, Germany.
University of Maryland Center for Environmental Science, Chesapeake Biological Laboratory, Solomons, MD 20688, United States.
Food Chem. 2017 Dec 15;237:106-113. doi: 10.1016/j.foodchem.2017.05.039. Epub 2017 May 8.
In a context of societal concern about food preservation, the reduction of sulfite input plays a major role in the wine industry. To improve the understanding of the chemistry involved in the SO protection, a series of bottle aged Chardonnay wines made from the same must, but with different concentrations of SO added at pressing were analyzed by ultrahigh resolution mass spectrometry (FT-ICR-MS) and excitation emission matrix fluorescence (EEMF). Metabolic fingerprints from FT-ICR-MS data could discriminate wines according to the added concentration to the must but they also revealed chemistry-related differences according to the type of stopper, providing a wine metabolomics picture of the impact of distinct stopping strategies. Spearman rank correlation was applied to link the statistically modeled EEMF components (parallel factor analysis (PARAFAC)) and the exact mass information from FT-ICR-MS, and thus revealing the extent of sulfur-containing compounds which could show some correlation with fluorescence fingerprints.
在社会关注食品保鲜的背景下,减少亚硫酸盐的投入在葡萄酒行业中起着重要作用。为了更好地了解 SO 保护过程中的化学变化,我们采用超高效分辨率质谱(FT-ICR-MS)和激发发射矩阵荧光(EEMF)分析了一系列由相同葡萄汁酿造但在压榨时添加不同浓度 SO 的瓶陈霞多丽葡萄酒。来自 FT-ICR-MS 数据的代谢指纹图谱可以根据添加到葡萄汁中的浓度来区分葡萄酒,但它们也根据塞子的类型揭示了与化学相关的差异,为不同塞瓶策略的影响提供了葡萄酒代谢组学的图片。我们应用 Spearman 秩相关来关联统计模型化的 EEMF 成分(平行因子分析(PARAFAC))和 FT-ICR-MS 的精确质量信息,从而揭示了可能与荧光指纹图谱存在一定相关性的含硫化合物的程度。