Journal
FOOD RESEARCH INTERNATIONAL
Volume 64, Issue -, Pages 424-431Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.foodres.2014.07.013
Keywords
Saliva; Mucin; alpha-Amylase; Aroma; Air/liquid partition coefficient; Hydrophobic effect
Categories
Funding
- Regional Council of Burgundy (FABER AIB), INRA-CEPIA department [29000622]
- Regional Council of Burgundy (FEDER European Union), INRA-CEPIA department [33759]
Ask authors/readers for more resources
As great differences were observed in the amount of alpha-amylase in human saliva, there is a need to better understand the effect of this protein alone or in mixture with mucin on aroma compound partitioning. We report. the respective role of mucin and alpha-amylase on the air/liquid partition coefficients of two series of 5 methylketones and 5 ethyl-esters. We confirm that mucin affects the release of aroma compounds and, for the first time, we demonstrate the ability of alpha-amylase to decrease the release of aroma compounds. For both proteins, we report the involvement of hydrophobic effects. Interestingly, no cumulative effect was observed when both proteins were mixed together in solution. We hypothesize that protein-protein interactions occur between the two proteins and decrease the total number of available binding sites for aroma compounds. The effect of human saliva is also investigated and compared to that of artificial salivas. In the presence of human saliva the release of ketones is lower than in water and slightly higher than in the presence of artificial saliva composed of alpha-amylase and/or mucin. Esters are more affected by the presence of human saliva than ketones. This observation is due to the presence of an esterase activity in saliva, which activity increases with the hydrophobicity of esters. The difference observed in aroma release between artificial and human salivas could be explained by the presence of other salivary proteins in human saliva. (C) 2014 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available