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Sensors 2014, 14(7), 12256-12270; doi:10.3390/s140712256
Article

An Odor Interaction Model of Binary Odorant Mixtures by a Partial Differential Equation Method

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Received: 14 May 2014; in revised form: 4 July 2014 / Accepted: 7 July 2014 / Published: 9 July 2014
(This article belongs to the Special Issue Modern Technologies for Sensing Pollution in Air, Water, and Soil)
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Abstract: A novel odor interaction model was proposed for binary mixtures of benzene and substituted benzenes by a partial differential equation (PDE) method. Based on the measurement method (tangent-intercept method) of partial molar volume, original parameters of corresponding formulas were reasonably displaced by perceptual measures. By these substitutions, it was possible to relate a mixture’s odor intensity to the individual odorant’s relative odor activity value (OAV). Several binary mixtures of benzene and substituted benzenes were respectively tested to establish the PDE models. The obtained results showed that the PDE model provided an easily interpretable method relating individual components to their joint odor intensity. Besides, both predictive performance and feasibility of the PDE model were proved well through a series of odor intensity matching tests. If combining the PDE model with portable gas detectors or on-line monitoring systems, olfactory evaluation of odor intensity will be achieved by instruments instead of odor assessors. Many disadvantages (e.g., expense on a fixed number of odor assessors) also will be successfully avoided. Thus, the PDE model is predicted to be helpful to the monitoring and management of odor pollutions.
Keywords: human sensing; monitoring; odor intensity; odor interaction; arenes; air pollution human sensing; monitoring; odor intensity; odor interaction; arenes; air pollution
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Yan, L.; Liu, J.; Wang, G.; Wu, C. An Odor Interaction Model of Binary Odorant Mixtures by a Partial Differential Equation Method. Sensors 2014, 14, 12256-12270.

AMA Style

Yan L, Liu J, Wang G, Wu C. An Odor Interaction Model of Binary Odorant Mixtures by a Partial Differential Equation Method. Sensors. 2014; 14(7):12256-12270.

Chicago/Turabian Style

Yan, Luchun; Liu, Jiemin; Wang, Guihua; Wu, Chuandong. 2014. "An Odor Interaction Model of Binary Odorant Mixtures by a Partial Differential Equation Method." Sensors 14, no. 7: 12256-12270.



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