Department of Chemistry, Materials and Chemical Engineering Giulio Natta, Politecnico di Milano, 20131 Milan, Italy.
J Proteome Res. 2011 Aug 5;10(8):3789-801. doi: 10.1021/pr200266w. Epub 2011 Jul 14.
The proteome of untreated white wines (a Recioto made with Garganega grapes from the Veneto region) was explored in depth via capture with combinatorial peptide ligand libraries (CPLL) at four different pH values: pH 2.2, 3.8, 7.2, and 9.3. The combined data on the discoveries in the four CPLL eluates, as well as in the collected bottle sediment, allowed the identification of 106 unique gene products belonging to Vitis vinifera, as well as of an additional 11 proteins released by the S. cerevisiae used in the fermentation process. Among the residual grape proteins detected in the Recioto wine, ca. 30% were categorized as medium to high-abundance species, vs 70% low-abundance ones. The detection of so many low-abundance species suggests that proteomic (coupled to peptidomic) data might be used for typing high-quality products (grand crus) to assess their genuineness and protect them from fraudulent imitations.
通过在四个不同 pH 值（2.2、3.8、7.2 和 9.3）下用组合肽配体文库（CPLL）对未经处理的白葡萄酒（一种用威尼托地区的 Garganega 葡萄制成的 Recioto）的蛋白质组进行了深入探索。对四个 CPLL 洗脱液以及收集的瓶沉积物中的发现的综合数据，鉴定出了 106 种属于 Vitis vinifera 的独特基因产物，以及在发酵过程中使用的 S. cerevisiae 释放的另外 11 种蛋白质。在 Recioto 葡萄酒中检测到的剩余葡萄蛋白中，约 30%被归类为中高丰度物种，而 70%为低丰度物种。如此多的低丰度物种的检测表明，蛋白质组学（与肽组学相结合）数据可用于对优质产品（特级葡萄酒）进行分型，以评估其真实性并防止假冒仿制品。
