Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Exploring the Characteristics of an Aroma-Blending Mixture by Investigating the Network of Shared Odors and the Molecular Features of Their Related Odorants
by
Audouze, Karine
, Guichard, Elisabeth
, Thomas-Danguin, Thierry
, Koensgen, Florian
, Tromelin, Anne
in
Ananas
/ Chemical Sciences
/ configural mixture
/ Data Interpretation, Statistical
/ Databases, Chemical
/ Food and Nutrition
/ Food engineering
/ Fragaria
/ Humans
/ Isomerism
/ Life Sciences
/ Models, Theoretical
/ Molecular Structure
/ Molecular Weight
/ network
/ odor notes
/ Odorants
/ Odors
/ Olfactory Perception
/ Perceptions
/ pharmacophore
/ Propionates
/ Pyrones
/ Statistical analysis
/ Statistics
/ Studies
2020
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Exploring the Characteristics of an Aroma-Blending Mixture by Investigating the Network of Shared Odors and the Molecular Features of Their Related Odorants
by
Audouze, Karine
, Guichard, Elisabeth
, Thomas-Danguin, Thierry
, Koensgen, Florian
, Tromelin, Anne
in
Ananas
/ Chemical Sciences
/ configural mixture
/ Data Interpretation, Statistical
/ Databases, Chemical
/ Food and Nutrition
/ Food engineering
/ Fragaria
/ Humans
/ Isomerism
/ Life Sciences
/ Models, Theoretical
/ Molecular Structure
/ Molecular Weight
/ network
/ odor notes
/ Odorants
/ Odors
/ Olfactory Perception
/ Perceptions
/ pharmacophore
/ Propionates
/ Pyrones
/ Statistical analysis
/ Statistics
/ Studies
2020
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Exploring the Characteristics of an Aroma-Blending Mixture by Investigating the Network of Shared Odors and the Molecular Features of Their Related Odorants
by
Audouze, Karine
, Guichard, Elisabeth
, Thomas-Danguin, Thierry
, Koensgen, Florian
, Tromelin, Anne
in
Ananas
/ Chemical Sciences
/ configural mixture
/ Data Interpretation, Statistical
/ Databases, Chemical
/ Food and Nutrition
/ Food engineering
/ Fragaria
/ Humans
/ Isomerism
/ Life Sciences
/ Models, Theoretical
/ Molecular Structure
/ Molecular Weight
/ network
/ odor notes
/ Odorants
/ Odors
/ Olfactory Perception
/ Perceptions
/ pharmacophore
/ Propionates
/ Pyrones
/ Statistical analysis
/ Statistics
/ Studies
2020
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Exploring the Characteristics of an Aroma-Blending Mixture by Investigating the Network of Shared Odors and the Molecular Features of Their Related Odorants
Journal Article
Exploring the Characteristics of an Aroma-Blending Mixture by Investigating the Network of Shared Odors and the Molecular Features of Their Related Odorants
2020
Request Book From Autostore
and Choose the Collection Method
Overview
The perception of aroma mixtures is based on interactions beginning at the peripheral olfactory system, but the process remains poorly understood. The perception of a mixture of ethyl isobutyrate (Et-iB, strawberry-like odor) and ethyl maltol (Et-M, caramel-like odor) was investigated previously in both human and animal studies. In those studies, the binary mixture of Et-iB and Et-M was found to be configurally processed. In humans, the mixture was judged as more typical of a pineapple odor, similar to allyl hexanoate (Al-H, pineapple-like odor), than the odors of the individual components. To explore the key features of this aroma blend, we developed an in silico approach based on molecules having at least one of the odors—strawberry, caramel or pineapple. A dataset of 293 molecules and their related odors was built. We applied the notion of a “social network” to describe the network of the odors. Additionally, we explored the structural properties of the molecules in this dataset. The network of the odors revealed peculiar links between odors, while the structural study emphasized key characteristics of the molecules. The association between “strawberry” and “caramel” notes, as well as the structural diversity of the “strawberry” molecules, were notable. Such elements would be key to identifying potential odors/odorants to form aroma blends.
This website uses cookies to ensure you get the best experience on our website.