TY - JOUR
T1 - Determination of aroma compound partition coefficients in aqueous, polysaccharide, and dairy matrices using the phase ratio variation method
T2 - A review and modeling approach
AU - Heilig, Andrej
AU - Sonne, Alina
AU - Schieberle, Peter
AU - Hinrichs, Jörg
N1 - Publisher Copyright:
© 2016 American Chemical Society.
PY - 2016/6/8
Y1 - 2016/6/8
N2 - The partition of aroma compounds between a matrix and a gas phase describes an individual compound's specific affinity toward the matrix constituents affecting orthonasal sensory perception. The static headspace phase ratio variation (PRV) method has been increasingly applied by various authors to determine the equilibrium partition coefficient K in aqueous, polysaccharide, and dairy matrices. However, reported partition coefficients are difficult to relate and compare due to different experimental conditions, e.g., aroma compound selection, matrix composition, equilibration temperature. Due to its specific advantages, the PRV method is supposed to find more frequent application in the future, this Review aims to summarize, evaluate, compare, and relate the currently available data on PRV-determined partition coefficients. This process was designed to specify the potentials and the limitations as well as the consistency of the PRV method, and to identify open fields of research in aroma compound partitioning in food-related, especially dairy matrices.
AB - The partition of aroma compounds between a matrix and a gas phase describes an individual compound's specific affinity toward the matrix constituents affecting orthonasal sensory perception. The static headspace phase ratio variation (PRV) method has been increasingly applied by various authors to determine the equilibrium partition coefficient K in aqueous, polysaccharide, and dairy matrices. However, reported partition coefficients are difficult to relate and compare due to different experimental conditions, e.g., aroma compound selection, matrix composition, equilibration temperature. Due to its specific advantages, the PRV method is supposed to find more frequent application in the future, this Review aims to summarize, evaluate, compare, and relate the currently available data on PRV-determined partition coefficients. This process was designed to specify the potentials and the limitations as well as the consistency of the PRV method, and to identify open fields of research in aroma compound partitioning in food-related, especially dairy matrices.
KW - aroma-matrix interaction
KW - dairy matrix
KW - hydrophobicity
KW - log P
KW - multiple regression
UR - https://www.scopus.com/pages/publications/84973652777
U2 - 10.1021/acs.jafc.6b01482
DO - 10.1021/acs.jafc.6b01482
M3 - Review article / Perspectives
C2 - 27182770
AN - SCOPUS:84973652777
SN - 0021-8561
VL - 64
SP - 4450
EP - 4470
JO - Journal of Agricultural and Food Chemistry
JF - Journal of Agricultural and Food Chemistry
IS - 22
ER -