Using a Machine Learning Regression Approach to Predict the Aroma Partitioning in Dairy Matrices
Marvin Anker,
Christine Borsum,
Youfeng Zhang
et al.
Abstract:Aroma partitioning in food is a challenging area of research due to the contribution of several physical and chemical factors that affect the binding and release of aroma in food matrices. The partition coefficient measured by the Kmg value refers to the partition coefficient that describes how aroma compounds distribute themselves between matrices and a gas phase, such as between different components of a food matrix and air. This study introduces a regression approach to predict the Kmg value of aroma compou… Show more
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