Cor instrumental e aceitação sensorial de emulsões à base de soja: Uma abordagem através da metodologia de superfície de resposta

Translated title of the contribution: Instrumental color and sensory acceptance of soy-based emulsions: A response surface approach

Daniel Granato, Maria Lucia Masson

Research output: Contribution to journalArticlepeer-review

Abstract

Response Surface Methodology (RSM) was applied to evaluate the chromatic features and sensory acceptance of emulsions that combine Soy Protein (SP) and red Guava Juice (GJ). The parameters analyzed were: instrumental color based on the coordinates a* (redness), b* (yellowness), L* (lightness), C* (chromaticity), h* (hue angle), visual color, acceptance, and appearance. The analyses of the results showed that GJ was responsible for the high measured values of red color, hue angle, chromaticity, acceptance, and visual color, whereas SP was the variable that increased the yellowness intensity of the assays. The redness (R2 dj = 74.86%, p < 0.01) and hue angle (R2 dj = 80.96%, p < 0.01) were related to the independent variables by linear models, while the sensory data (color and acceptance) could not be modeled due to a high variability. The models of yellowness, lightness, and chromaticity did not present lack of fit but presented adjusted determination coefficients bellow 70%. Notwithstanding, the linear correlations between sensory and instrumental data were not significant (p > 0.05) and low Pearson coefficients were obtained. The results showed that RSM is a useful tool to develop soy-based emulsions and model some chromatic features of guava-based emulsions through RSM.

Translated title of the contributionInstrumental color and sensory acceptance of soy-based emulsions: A response surface approach
Original languagePortuguese (Brazil)
Pages (from-to)1090-1096
Number of pages7
JournalFood Science and Technology (Brazil)
Volume30
Issue number4
DOIs
Publication statusPublished - Oct 2010
Externally publishedYes

Keywords

  • Colorimetry
  • Functional foods
  • Glycine max
  • Response surface methodology
  • Sensory acceptability

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