Rheological and clustering approach to classify Iranian soft/liquid food products to meet dysphagia diet requirements

A. Zargaraan, Y. Omaraee, R. Rastmanesh, N. Taheri, Gh. Fadavi, F. Zaeri, Mohammad Amin Mohammadifar

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

The American Dietetic Association proposes a classification of foods for dysphagia diets based on viscosity data measured at shear rate of 50 (s-1). This guideline has been used as a reference in many papers and therefore most of studies have only focused on steady state rheological parameters.The purpose of present study was to cluster and to classify 39 Iranian viscous food products considering steady-state and viscoelastic parameters. Using clustering techniques, 39 samples were divided to six clusters. The results of this study indicate that more work is needed to determine the best rheological parameters to classify dysphagia oriented food products.
Original languageEnglish
JournalItalian Journal of Food Science
Volume26
Issue number3
Pages (from-to)243-251
Number of pages9
ISSN1120-1770
Publication statusPublished - 2014
Externally publishedYes

Keywords

  • national dysphagia diet
  • dysphagia
  • viscoelastic properties
  • cluster classification
  • viscosity

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