Literature DB >> 27182770

Determination of Aroma Compound Partition Coefficients in Aqueous, Polysaccharide, and Dairy Matrices Using the Phase Ratio Variation Method: A Review and Modeling Approach.

Andrej Heilig1, Alina Sonne1, Peter Schieberle2, Jörg Hinrichs1.   

Abstract

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.

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Keywords:  aroma−matrix interaction; dairy matrix; hydrophobicity; log P; multiple regression

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Year:  2016        PMID: 27182770     DOI: 10.1021/acs.jafc.6b01482

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  2 in total

1.  Studying dynamic aroma release by headspace-solid phase microextraction-gas chromatography-ion mobility spectrometry (HS-SPME-GC-IMS): method optimization, validation, and application.

Authors:  Christine F Thomas; Ellen Zeh; Selina Dörfel; Yanyan Zhang; Jörg Hinrichs
Journal:  Anal Bioanal Chem       Date:  2021-03-02       Impact factor: 4.142

2.  Effects of Organic Acids on the Release of Fruity Esters in Water: An Insight at the Molecular Level.

Authors:  Yu Liu; Hui Xi; Yingjie Fu; Peng Li; Shihao Sun; Yongli Zong
Journal:  Molecules       Date:  2022-05-04       Impact factor: 4.927

  2 in total

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