Grosch W
Deutsche Forschungsanstalt für Lebensmittelchemie, Lichtenbergstrasse 4, D-85748 Garching, Germany.
Chem Senses. 2001 Jun;26(5):533-45. doi: 10.1093/chemse/26.5.533.
The state of the art in aroma analysis is reviewed with emphasis on aroma-recombination studies using synthetic blends of odorants (aroma models) which have been prepared on the basis of analytical data. The model that matches the original aroma is the starting material for omission experiments which are performed to establish the odorants that actually contribute to the aroma. These experiments are discussed in detail for the aromas of two wine varieties, three olive oils of different provenance, French fries, boiled beef and coffee. The results indicate that odorants with higher odour activity values (OAV, the ratio of the concentration to the odour threshold) are frequently essential for the aroma. However, there are exceptions where odorants with high OAVs are suppressed in the aroma and compounds with lower OAVs are important contributors. These findings are discussed in the light of model experiments which have been reported in the literature to obtain an insight into the perceptual interactions of odorants in mixtures.
本文综述了香气分析的最新进展,重点介绍了基于分析数据制备的合成香料混合物(香气模型)进行的香气重组研究。与原始香气匹配的模型是进行省略实验的起始材料,这些实验旨在确定实际对香气有贡献的香料。针对两种葡萄酒品种、三种不同产地的橄榄油、薯条、煮牛肉和咖啡的香气,详细讨论了这些实验。结果表明,具有较高气味活性值(OAV,浓度与气味阈值之比)的香料通常对香气至关重要。然而,也有例外情况,即具有高OAV值的香料在香气中被抑制,而具有较低OAV值的化合物是重要的香气贡献者。根据文献中报道的模型实验对这些发现进行了讨论,以深入了解混合物中香料的感知相互作用。