Barbe Jean-Christophe, Pineau Bénédicte, Ferreira Antonio Cesar Silva
Institut des Sciences de la Vigne et du Vin, UMR 1219 OEnologie, ENITA de Bordeaux, 1, Cours du général de Gaulle, CS 40201, F-33175 Gradignan Cedex.
Chem Biodivers. 2008 Jun;5(6):1170-83. doi: 10.1002/cbdv.200890094.
More than 800 aromatic compounds have been identified in wine, some of them at the ng/l level. Wine, therefore, constitutes a very complex matrix, from which it is difficult to isolate a specific aroma character. Gas chromatography-olfactometry (GC-O) applied to wine extracts is used to characterize odor-active zones that are often treated in a hierarchical way by Aroma Extract Dilution Analysis (AEDA). The aromatic impact of the volatiles is evaluated, generally by determining perception thresholds. This methodology has provided convincing results concerning wine flavors, but it does have its limitations. For instance, data on beta-damascenone have demonstrated that these methods could reach their limits for this volatile, in particular, because of the non-quantitative representation of aroma extracts of wines, and because of the difficulty to accurately determine the perception threshold in wines for a compound already present. For beta-damascenone, we have shown that its very low detection threshold with GC-O, its wide range, and its dependence on the composition of the medium resulted in overestimating its direct impact on the aroma of wine. Another way to facilitate the characterization of aromatic compounds was, therefore, investigated. High-Performance Liquid Chromatography (HPLC) methods were developed for the analysis of wine extracts. From an aromatic extract, 25 fractions with various flavors were thus obtained, and reverse-phase methodology was used for the selection and characterization of red- and black-fruit aromas in red wines.
葡萄酒中已鉴定出800多种芳香化合物,其中一些含量低至纳克/升。因此,葡萄酒构成了一个非常复杂的基质,从中很难分离出特定的香气特征。应用于葡萄酒提取物的气相色谱 - 嗅觉测量法(GC - O)用于表征气味活性区域,这些区域通常通过香气提取物稀释分析(AEDA)进行分级处理。挥发性物质的芳香影响通常通过确定感知阈值来评估。这种方法在葡萄酒风味方面提供了令人信服的结果,但它确实有其局限性。例如,关于β - 大马酮的数据表明,这些方法可能会在这种挥发性物质上达到极限,特别是因为葡萄酒香气提取物的非定量表示,以及难以准确确定葡萄酒中已存在的化合物的感知阈值。对于β - 大马酮,我们已经表明,其在GC - O上非常低的检测阈值、广泛的范围以及对介质组成的依赖性导致高估了其对葡萄酒香气的直接影响。因此,研究了另一种促进芳香化合物表征的方法。开发了高效液相色谱(HPLC)方法用于分析葡萄酒提取物。通过这种方法,从一种香气提取物中获得了25种具有不同风味的馏分,并采用反相方法对红葡萄酒中的红色和黑色水果香气进行了选择和表征。