Document Detail


Mechanistic mathematical model for in vivo aroma release during eating of semiliquid foods.
MedLine Citation:
PMID:  18048371     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The paper describes a mechanistic mathematical model for aroma release in the oropharynx to the nasal cavity during food consumption. The model is based on the physiology of the swallowing process and is validated with atmospheric pressure chemical ionization coupled with mass spectrometry measurements of aroma concentration in the nasal cavity of subjects eating flavored yogurt. The study is conducted on 3 aroma compounds representative for strawberry flavor (ethyl acetate, ethyl butanoate, and ethyl hexanoate) and 3 panelists. The model provides reasonably accurate time predictions of the relative aroma concentration in the nasal cavity and is able to simulate successive swallowing events as well as imperfect velopharyngeal closure. The most influent parameters are found to be the amount of the residual product in the pharynx and its contact area with the air flux, the volume of the nasal cavity, the equilibrium air/product partition coefficient of the volatile compound, the breath airflow rate, as well as the mass transfer coefficient of the aroma compound in the product, and the amount of product in the mouth. This work constitutes a first step toward computer-aided product formulation by allowing calculation of retronasal aroma intensity as a function of transfer and volatility properties of aroma compounds in food matrices and anatomophysiological characteristics of consumers.
Authors:
Ioan Cristian Trelea; Samuel Atlan; Isabelle Déléris; Anne Saint-Eve; Michèle Marin; Isabelle Souchon
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2007-11-28
Journal Detail:
Title:  Chemical senses     Volume:  33     ISSN:  0379-864X     ISO Abbreviation:  Chem. Senses     Publication Date:  2008 Feb 
Date Detail:
Created Date:  2008-02-14     Completed Date:  2008-05-01     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8217190     Medline TA:  Chem Senses     Country:  England    
Other Details:
Languages:  eng     Pagination:  181-92     Citation Subset:  IM    
Affiliation:
UMR782 Génie et Microbiologie des Procédés Alimentaires, AgroParisTech, INRA, 1 av. Lucien Brétignères, 78850 Thiverval-Grignon, France. cristian.trelea@agroparistech.fr
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MeSH Terms
Descriptor/Qualifier:
Deglutition / physiology*
Eating / physiology
Food
Humans
Mathematics
Models, Biological*
Nasal Cavity / physiology*
Odors
Pharynx / physiology*
Smell / physiology*
Yogurt

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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