Cargando…
Research on Odor Interaction between Aldehyde Compounds via a Partial Differential Equation (PDE) Model
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 s...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4367339/ https://www.ncbi.nlm.nih.gov/pubmed/25635413 http://dx.doi.org/10.3390/s150202888 |
_version_ | 1782362518082027520 |
---|---|
author | LuchunYan, Liu, Jiemin Qu, Chen Gu, Xingye Zhao, Xia |
author_facet | LuchunYan, Liu, Jiemin Qu, Chen Gu, Xingye Zhao, Xia |
author_sort | LuchunYan, |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4367339 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-43673392015-04-30 Research on Odor Interaction between Aldehyde Compounds via a Partial Differential Equation (PDE) Model LuchunYan, Liu, Jiemin Qu, Chen Gu, Xingye Zhao, Xia Sensors (Basel) Article 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. MDPI 2015-01-28 /pmc/articles/PMC4367339/ /pubmed/25635413 http://dx.doi.org/10.3390/s150202888 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article LuchunYan, Liu, Jiemin Qu, Chen Gu, Xingye Zhao, Xia Research on Odor Interaction between Aldehyde Compounds via a Partial Differential Equation (PDE) Model |
title | Research on Odor Interaction between Aldehyde Compounds via a Partial Differential Equation (PDE) Model |
title_full | Research on Odor Interaction between Aldehyde Compounds via a Partial Differential Equation (PDE) Model |
title_fullStr | Research on Odor Interaction between Aldehyde Compounds via a Partial Differential Equation (PDE) Model |
title_full_unstemmed | Research on Odor Interaction between Aldehyde Compounds via a Partial Differential Equation (PDE) Model |
title_short | Research on Odor Interaction between Aldehyde Compounds via a Partial Differential Equation (PDE) Model |
title_sort | research on odor interaction between aldehyde compounds via a partial differential equation (pde) model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4367339/ https://www.ncbi.nlm.nih.gov/pubmed/25635413 http://dx.doi.org/10.3390/s150202888 |
work_keys_str_mv | AT luchunyan researchonodorinteractionbetweenaldehydecompoundsviaapartialdifferentialequationpdemodel AT liujiemin researchonodorinteractionbetweenaldehydecompoundsviaapartialdifferentialequationpdemodel AT quchen researchonodorinteractionbetweenaldehydecompoundsviaapartialdifferentialequationpdemodel AT guxingye researchonodorinteractionbetweenaldehydecompoundsviaapartialdifferentialequationpdemodel AT zhaoxia researchonodorinteractionbetweenaldehydecompoundsviaapartialdifferentialequationpdemodel |