Recent advances and application of machine learning in food flavor prediction and regulation
H Ji, D Pu, W Yan, Q Zhang, M Zuo, Y Zhang - Trends in Food Science & …, 2023 - Elsevier
Background Food flavor is a key factor affecting sensory quality. Predicting and regulating
flavor can result in exceptional flavor characteristics and improve consumer preferences and …
flavor can result in exceptional flavor characteristics and improve consumer preferences and …
Taking the leap between analytical chemistry and artificial intelligence: A tutorial review
The last 10 years have witnessed the growth of artificial intelligence into different research
areas, emerging as a vibrant discipline with the capacity to process large amounts of …
areas, emerging as a vibrant discipline with the capacity to process large amounts of …
Data based predictive models for odor perception
Abstract Machine learning and data analytics are being increasingly used for quantitative
structure property relation (QSPR) applications in the chemical domain where the traditional …
structure property relation (QSPR) applications in the chemical domain where the traditional …
A machine learning based computer-aided molecular design/screening methodology for fragrance molecules
Although the business of flavors and fragrances has become a multibillion dollar market, the
design/screening of fragrances still relies on the experience of specialists as well as …
design/screening of fragrances still relies on the experience of specialists as well as …
Unraveling the thermal oxidation products and peroxidation mechanisms of different chemical structures of lipids: An example of molecules containing oleic acid
Z Zhou, YL Li, F Zhao, R Xin, XH Huang… - Journal of Agricultural …, 2022 - ACS Publications
Lipid structures affect lipid oxidation, causing differences in types and contents of volatiles
and nonvolatiles in various foods. In this study, the oxidation differences of monoacylglycerol …
and nonvolatiles in various foods. In this study, the oxidation differences of monoacylglycerol …
ODRP: a deep learning framework for odor descriptor rating prediction using electronic nose
Odor descriptors are words used to express human olfactory perception. At a certain level,
predicting the odor descriptor rating using an electronic nose (E-nose) equips the machine …
predicting the odor descriptor rating using an electronic nose (E-nose) equips the machine …
Machine learning in human olfactory research
J Lötsch, D Kringel, T Hummel - Chemical senses, 2019 - academic.oup.com
The complexity of the human sense of smell is increasingly reflected in complex and high-
dimensional data, which opens opportunities for data-driven approaches that complement …
dimensional data, which opens opportunities for data-driven approaches that complement …
Identification of odor emission sources in urban areas using machine learning-based classification models
Odor-causing substances are generated by various emission sources in urban areas.
Recently, urbanization has greatly increased the density of odor emission facilities, implying …
Recently, urbanization has greatly increased the density of odor emission facilities, implying …
Chemical features mining provides new descriptive structure-odor relationships
An important goal in researching the biology of olfaction is to link the perception of smells to
the chemistry of odorants. In other words, why do some odorants smell like fruits and others …
the chemistry of odorants. In other words, why do some odorants smell like fruits and others …
Bridging odorants and olfactory perception through machine learning: A review
R Zhong, Z Ji, S Wang, H Chen - Trends in Food Science & Technology, 2024 - Elsevier
Background In the field of human olfactory perception (OP) and odorant chemistry (OC), a
substantial corpus of data has been amassed, with efforts directed towards constructing …
substantial corpus of data has been amassed, with efforts directed towards constructing …