Elsevier

Meat Science

Volume 137, March 2018, Pages 176-190
Meat Science

A sensometric approach to the development of mortadella with healthier fats☆

https://doi.org/10.1016/j.meatsci.2017.11.027Get rights and content
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Highlights

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    Sensory characteristics of healthy mortadellas using DA and CATA questions were studied.

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    Mortadellas formulated with animal fat substitutions (pre-emulsions) were the least accepted.

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    Mortadella reformulation promoted changes in texture attributes.

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    Penalty analysis and PLSR helped to identify the main drivers of liking.

Abstract

The aim of this study was to evaluate the sensory characteristics of mortadellas with different fat contents using Descriptive Analysis (DA) and Check-all-that-apply (CATA) questions and their relationship with overall liking (OL). Five mortadella samples were studied. Sample 1, containing 16% fat. Sample 2 was formulated with 8% fat. Samples 3 and 4 were prepared by replacing 50% fat by a pre-emulsion composed of fish, canola and olive oil. A commercial fat-reduced sample was also studied. The sensory characteristics of the samples were evaluated by DA. Besides, eighty-four consumers evaluated their OL using a 9-point scale and answered the CATA questions. Replacement or reduction of fat caused changes in the sensory characteristics of the samples. Commercial mortadella was the most liked. CATA questions along with penalty analysis and partial least squares regression (PLSR) of dummy variables on the OL helped to identify the attributes to be changed in the mortadella formulations.

Keywords

Meat product
Descriptive analysis
Check-all-that-apply questions
Penalty analysis

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☆

The application of statistics and data analysis in sensory and consumer data is called sensometrics.

© 2017 Elsevier Ltd.