Research on Odor Interaction between Aldehyde Compounds via a Partial Differential Equation (PDE) Model

Sensors

rib-type="author">LuchunYan2  Jiemin Liu¹  Chen Qu²  Xingye Gu² 

[1] School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Xueyuan Road 30, Haidian District, Beijing 100083, China;

关键词: human sensing;    sensory evaluation;    odor intensity;    odor interaction;    air pollution;   

DOI  :  10.3390/s150202888

来源: mdpi

【 摘 要 】

In order to explore the odor interaction of binary odor mixtures, a series of odor intensity evaluation tests were performed using both individual components and binary mixtures of aldehydes. Based on the linear relation between the logarithm of odor activity value and odor intensity of individual substances, the relationship between concentrations of individual constituents and their joint odor intensity was investigated by employing a partial differential equation (PDE) model. The obtained results showed that the binary odor interaction was mainly influenced by the mixing ratio of two constituents, but not the concentration level of an odor sample. Besides, an extended PDE model was also proposed on the basis of the above experiments. Through a series of odor intensity matching tests for several different binary odor mixtures, the extended PDE model was proved effective at odor intensity prediction. Furthermore, odorants of the same chemical group and similar odor type exhibited similar characteristics in the binary odor interaction. The overall results suggested that the PDE model is a more interpretable way of demonstrating the odor interactions of binary odor mixtures.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.