Yan Luchun, Liu Jiemin, Fang Di
School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Xueyuan Road 30, Haidian District, Beijing 100083, China.
Sensors (Basel). 2015 Mar 9;15(3):5697-709. doi: 10.3390/s150305697.
Odor intensity (OI) indicates the perceived intensity of an odor by the human nose, and it is usually rated by specialized assessors. In order to avoid restrictions on assessor participation in OI evaluations, the Vector Model which calculates the OI of a mixture as the vector sum of its unmixed components' odor intensities was modified. Based on a detected linear relation between the OI and the logarithm of odor activity value (OAV-a ratio between chemical concentration and odor threshold) of individual odorants, OI of the unmixed component was replaced with its corresponding logarithm of OAV. The interaction coefficient (cosα) which represented the degree of interaction between two constituents was also measured in a simplified way. Through a series of odor intensity matching tests for binary, ternary and quaternary odor mixtures, the modified Vector Model provided an effective way of relating the OI of an odor mixture with the lnOAV values of its constituents. Thus, OI of an odor mixture could be directly predicted by employing the modified Vector Model after usual quantitative analysis. Besides, it was considered that the modified Vector Model was applicable for odor mixtures which consisted of odorants with the same chemical functional groups and similar molecular structures.
气味强度（OI）表示人鼻对气味的感知强度，通常由专业评估人员进行评级。为避免评估人员参与OI评估受到限制，对将混合物的OI计算为其未混合成分气味强度的矢量和的矢量模型进行了修改。基于检测到的单个气味剂的OI与气味活性值（OAV，化学浓度与气味阈值之比）的对数之间的线性关系，将未混合成分的OI替换为其相应的OAV对数。还以简化方式测量了表示两种成分之间相互作用程度的相互作用系数（cosα）。通过对二元、三元和四元气味混合物进行一系列气味强度匹配测试，修改后的矢量模型提供了一种将气味混合物的OI与其成分的lnOAV值相关联的有效方法。因此，在进行常规定量分析后，采用修改后的矢量模型可以直接预测气味混合物的OI。此外，人们认为修改后的矢量模型适用于由具有相同化学官能团和相似分子结构的气味剂组成的气味混合物。
