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Evaluation of new functional pasta using TOPSIS methodology

Authors: Giallanza A.; Enea M.; Micale R.; La Scalia;

Evaluation of new functional pasta using TOPSIS methodology

Abstract

Nowadays several studies are focused on the introduction of Opuntia in frequently consumed foods, such as pasta and bakery products. Food products containing Opuntia are in fact able to reduce body weight and plasma LDL cholesterol, lipids and glucose. Foods, that may provide health and wellness benefits, are known as "functional foods". The aim of this paper is the evaluation of a new functional pasta comprising Opuntia able to guarantee health benefits without altering the organoleptic properties of the final product. For this purpose, a set of samples, based on different concentration of Opuntia solution and process parameters, was prepared for the production of short and long pasta. The choice of the best sample was achieved by using a Multi-Criteria Decision-Making (MCDM) procedure in order to consider the quality of the final product and the production cost. In particular, Technique Ordered Preference by Similarity to the Ideal Solution (TOPSIS), one of the most widely used MCDM methods in decision support systems, was here implemented.

Country
Italy
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Keywords

Functional Foods, Multi Criteria Decision Making, Functional Foods, Multi Criteria Decision Making, Opuntia, TOPSIS technique, Settore ING-IND/17 - Impianti Industriali Meccanici, Opuntia, Functional Foods; Multi Criteria Decision Making; Opuntia; TOPSIS technique, TOPSIS technique

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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