Method for Predicting Odor Intensity of Perfumery Raw Materials Using Dose–Response Curve Database
Author:
Affiliation:
1. Sensory Science Research, Global R&D, Kao Corporation, 2-1-3 Bunka Sumida-ku, Tokyo 131-8501, Japan
2. Sensory Science Research, Global R&D, Kao Corporation, 2606 Haga-Gun, Tochigi 321-3497, Japan
Funder
Kao Corporation
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.9b01225
Reference42 articles.
1. Prediction Model for the Odor Intensity of Fragrance Mixtures: A Valuable Tool for Perfumed Product Design
2. A case study of product engineering: Performance of microencapsulated perfumes on textile applications
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