Quantitative study of the relationships among proteolysis, lipid oxidation, structure and texture throughout the dry-cured ham process

•Proteolysis, lipid oxidation, texture and structure in dry-cured ham were quantified.•Two pork muscles, five textural and four structural parameters were investigated.•We used multiple polynomial regression to build several phenomenological models.•We built models relating PI, salt and water conten...

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Veröffentlicht in:Food chemistry 2015-01, Vol.166, p.522-530
Hauptverfasser: Harkouss, Rami, Astruc, Thierry, Lebert, André, Gatellier, Philippe, Loison, Olivier, Safa, Hassan, Portanguen, Stéphane, Parafita, Emilie, Mirade, Pierre-Sylvain
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Sprache:eng
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Zusammenfassung:•Proteolysis, lipid oxidation, texture and structure in dry-cured ham were quantified.•Two pork muscles, five textural and four structural parameters were investigated.•We used multiple polynomial regression to build several phenomenological models.•We built models relating PI, salt and water content to four structural parameters.•We built models relating PI, salt and water content to three textural parameters. Temperature, salt and water contents are key processing factors in dry-cured ham production. They affect how proteolysis, lipid oxidation, structure and texture evolve, and thus determine the sensory properties and final quality of dry-cured ham. The aim of this study was to quantify the interrelationships and the time course of (i) proteolysis, (ii) lipid oxidation, (iii) five textural parameters: hardness, fragility, cohesiveness, springiness and adhesiveness and (iv) four structural parameters: fibre numbers, extracellular spaces, cross section area, and connective tissue area, during the dry-cured ham process. Applying multiple polynomial regression enabled us to build phenomenological models relating proteolysis, salt and water contents to certain textural and structural parameters investigated. A linear relationship between lipid oxidation and proteolysis was also established. All of these models and relationships, once combined with salt penetration, water migration and heat transfer models, can be used to dynamically simulate all of these phenomena throughout dry-cured ham manufacturing.
ISSN:0308-8146
1873-7072
DOI:10.1016/j.foodchem.2014.06.013