Essentials of Machine Olfaction and Taste 2016
DOI: 10.1002/9781118768495.ch7
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Olfactory Display and Odor Recorder

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Cited by 20 publications
(13 citation statements)
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“…Electrochemical sensing arrays can then be realized with several combinations of PANI electrodes, with different sizes of atomic clusters on different substrates. Such sensing arrays can be useful for online mixture quantification of odorant compounds and gases [ 26 ].…”
Section: Discussionmentioning
confidence: 99%
“…Electrochemical sensing arrays can then be realized with several combinations of PANI electrodes, with different sizes of atomic clusters on different substrates. Such sensing arrays can be useful for online mixture quantification of odorant compounds and gases [ 26 ].…”
Section: Discussionmentioning
confidence: 99%
“…We previously studied the quantification of mixtures using MS [17]. Since it was found that MS has a high capability of mixture quantification without a collinearity problem, it was extended to the exploration of odor components to cover a wide range of odors [17]- [20]. It was successful in approximating odors in an essential oil using odor components.…”
Section: Introductionmentioning
confidence: 99%
“…Gas mixture quantification is an essential technology for odor recording [1], since an odor consists of multiple chemical compounds. Odor recorders and reproducers could be applied to various technical fields [2], if such devices were realized. For example, they could be employed in teleolfaction [3], odors for virtual reality [4], etc.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the mixture composition of odor components should be quantified in an odor recorder. Several methods of gas mixture quantification using a sensor array such as the quartz crystal microbalance (QCM) method have been proposed [2]. It becomes difficult to determine the concentration of each gas because the QCM sensor array has a collinearity problem when the number of components in a gas mixture increases.…”
Section: Introductionmentioning
confidence: 99%