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Application of Quantitative Structure-Property Relationships (QSPR) approach to aroma release study

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HAL Id: hal-02824150

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Application of Quantitative Structure-Property

Relationships (QSPR) approach to aroma release study

Anne Tromelin, A. Chana-Lopez, Samuel Lubbers, Isabelle Andriot, Elisabeth Guichard

To cite this version:

Anne Tromelin, A. Chana-Lopez, Samuel Lubbers, Isabelle Andriot, Elisabeth Guichard. Application of Quantitative Structure-Property Relationships (QSPR) approach to aroma release study. 13. World Congress of Food Science and Technology (IUFOST): ”Food is Life”, Sep 2006, Nantes, France. 2006.

�hal-02824150�

(2)

IUFOST XIII

th

Congress of Food Science & Technology, 17-21 September 2006, Nantes, France

Application of Quantitative Structure-Property Relationships (QSPR) approach to aroma release study

Introduction

Improved standard of living and lifestyledemand for food products with less or no fat, sugars Equilibrium flavor retention/flavor release depends:

on the components of the food matrix

on the physicochemical properties of the flavor compound

Reducing the fat content of a food systemmodifications in flavor release and perception To retain the properties of a product when the fat is removed, fat-substitutes are used (starch, pectin…)

Influence of texturing agents is unclear

A. Tromelin

a

, A. Chana-Lopez

b

, S. Lubbers

a

, I. Andriot

a

and E. Guichard

a

a

UMR-FLAVIC - Institut National de la Recherche Agronomique, 17, rue Sully, BP 86510, 21065 Dijon Cedex, France

b

Istituto di Ricerce Farmacologiche, Via Eritrea 62, 20157 Milano, Italy [email protected]

References A. Chana, A. Tromelin, I. Andriot, E. Guichard (2006) J. Agr. Food Chem. 54, 3679 -3685.

A. Tromelin, E. Guichard (2004) QSAR Comb. Sci. 23, 214-233.

M. E. Carey, T. Asquith, R. S. T. Linforth, A. J. Taylor (2002) J. Agr. Food Chem. 50, 1985-1990.

E. Guichard (2002) Food Rev. Int. 18, 49-70.

Molecular descriptor are intrinsic molecular features

Ex: Molar Weight (MW) logP (hydrophobicity) AlogP98

Polarisability (Apol) Dipolar Moment (Dipole –X, Y, Z) Shape and Surface Descriptors:

Radius of Gyration (Rad of Gyration)

« Shadow-XY »: calculated by projecting the molecular surface on the perpendicular plane XY

« Jurs » descriptors surface and charged surface descriptors

Determination of the partition coefficients  headspace analysis at equilibrium:

• directly by vapor phase samples assay by gas chromatography for both -carrageenan gel and saline solution

• using solid-phase micro extraction for yogurt.

Use QSPR approach to evaluate the influence of texturing agent and the chemical structure of aroma compounds on the partition coefficient of aroma compounds between food product and vapor phase

For dairy gel (fat-free stirred yogurt): linear correlations observed between the ratio of partition coefficient related to increasing amount of thickener and selected descriptors show that:

with increasing amount of starch

 increasing molecular volume and polarizability improve retention of aroma molecules

 is indicative of van der Waals hydrophobic interactions

with increasing amount of pectin

positive molecular partial charges

negative effect of the inductive donor effect of carbon chain to the retention of aroma

carbonyl dipole

favorable effect to the retention of aroma

 point forward the power of dipole-dipole interaction and hydrogen bonding in the retention of aroma by pectin

For saline solution as for -carrageenan gel: equation generation performed by Genetic Function Approximation Involved descriptors both in gel and water encode:

 electronic properties of charges repartition on the molecule

 molecules shapes

key factors for the aroma release in both gel and water are:

 chain branching and spherical chain shape  decreases the retention

 molecular charge  increases the retention

Best fitting for carrageenan gel is obtained with a quadratic relation:

 seems to indicate a different mechanism of aroma release in gel than in water

 suggests that the effect of carrageenan polymers only modules but does not change interaction of aroma compounds with water molecules

Generate a relationship

ER = « activity » = f(p

1

, p

2

, …., p

n

) f linear or non-linear function

independent variables:

molecular features p1, p2, …, pn Molecular Descriptors dependant variable:

“activity” or “property”:

Experimental Response links

QSAR QSPR

Conclusion QSPR approach allows highlighting the nature of the interactions due to various components of the food matrix and constitutes a promising way to better understand the nature of intermolecular interactions involved between macromolecules and aroma compounds in food matrices

changes in molecular properties elicit different responses assumption:

Quantitative Structure-Activities Relationships (QSAR) Quantitative Structure-Properties Relationships (QSPR)

QSPR study:

• molecular descriptors calculations

• equation constructions

carried out using Cerius

2

(Accelrys Inc.)

C

6

H

14

O

1-ethoxy-2-methylpropane 1-ethoxybutane

Références

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