ArticleSensors (Basel, Switzerland)2015
Use of a modified vector model for odor intensity prediction of odorant mixtures.
Article in Sensors (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Odor prediction of whiskies based on their molecular composition.Communications chemistry · 2024Article
- Utilisation of QSPR ODT modelling and odour vector modelling to predict Cannabis sativa odour.PloS one · 2023Article
- Objective odor analysis of incidentally emitted compounds using the Langage des Nez® method: application to the industrial zone of Le Havre.Environmental science and pollution research international · 2021Article
- Visual Analysis of Odor Interaction Based on Support Vector Regression Method.Sensors (Basel, Switzerland) · 2020Article
- Integrated model for estimating odor emissions from civil wastewater treatment plants.Environmental science and pollution research international · 2020Article
- Determination of Odor Intensity of Binary Gas Mixtures Using Perceptual Models and an Electronic Nose Combined with Fuzzy Logic.Sensors (Basel, Switzerland) · 2019Article
- Determination of Odour Interactions in Gaseous Mixtures Using Electronic Nose Methods with Artificial Neural Networks.Sensors (Basel, Switzerland) · 2018Article
- Determination of Odour Interactions of Three-Component Gas Mixtures Using an Electronic Nose.Sensors (Basel, Switzerland) · 2017Article
- The Regular Interaction Pattern among Odorants of the Same Type and Its Application in Odor Intensity Assessment.Sensors (Basel, Switzerland) · 2017Article
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Authors and funding
3 authors.
Funding
Abstract
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.
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Registered trials
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