Machine-Learning-Based Olfactometer: Prediction of Odor Perception from Physicochemical Features of Odorant Molecules
Author:
Affiliation:
1. Research Laboratory, U.S.E. Company, Limited, Tokyo 150-0013, Japan
Funder
Japan Society for the Promotion of Science
China Scholarship Council
Publisher
American Chemical Society (ACS)
Subject
Analytical Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.7b02389
Reference40 articles.
1. Analysis of odour compounds from scented consumer products using gas chromatography-mass spectrometry and gas chromatography-olfactometry
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3. Gas chromatography–olfactometry in food flavour analysis
4. Multidimensional gas chromatography hyphenated to mass spectrometry and olfactometry for the volatile analysis of citrus hybrid peel extract
5. Identification of predominant aroma components of raw, dry roasted and oil roasted almonds
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