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Discrimination of orange beverage emulsions with different formulations using multivariate analysis.


Citation

Mirhosseini, Hamed and Tan, Chin Ping (2010) Discrimination of orange beverage emulsions with different formulations using multivariate analysis. Journal of the Science of Food and Agriculture, 90 (8). pp. 1308-1316. ISSN 0022-5142

Abstract

BACKGROUND: The constituents in a food emulsion interact with each other, either physically or chemically, determining the overall physico-chemical and organoleptic properties of the final product. Thus, the main objective of present study was to investigate the effect of emulsion components on beverage emulsion properties. RESULTS:In most cases, the second-order polynomial regression models with no significant (P > 0.05) lack of fit and high adjusted coefficient of determination (adjusted R(2), 0.851-0.996) were significantly fitted to explain the beverage emulsion properties as function of main emulsion components. The main effect of gum arabic was found to be significant (P < 0.05) in all response regression models. CONCLUSION:Orange beverage emulsion containing 222.0 g kg(-1) gum arabic, 2.4 g kg(-1) xanthan gum and 152.7 g kg(-1) orange oil was predicted to provide the desirable emulsion properties. The present study suggests that the concentration of gum arabic should be considered as a primary critical factor for the formulation of orange beverage emulsion. This study also indicated that the interaction effect between xanthan gum and orange oil showed the most significant (P < 0.05) effect among all interaction effects influencing all the physicochemical properties except for density.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Food Science and Technology
DOI Number: https://doi.org/10.1002/jsfa.3928
Publisher: Wiley-Blackwell
Keywords: Turbidity; Average droplet size; Polydispersity index; Apparent viscosity; Beverage emulsion.
Depositing User: Khairil Ridzuan Khahirullah
Date Deposited: 09 Oct 2013 06:27
Last Modified: 21 Oct 2015 00:34
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1002/jsfa.3928
URI: http://psasir.upm.edu.my/id/eprint/14089
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