Document Detail


Effect of the simultaneous interaction among ascorbic acid, iron and pH on the oxidative stability of oil-in-water emulsions.
MedLine Citation:
PMID:  21961646     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
The objective of this study was to demonstrate how different factors can simultaneously influence the oxidative stability of an oil-in-water emulsion, and how these factors can be used to enlarge the variation range of oxidation markers, expressed as peroxide value (PV) and TBARS. Initially, a Plackett-Burman design was used to screen seven factors (temperature, pH and iron, copper, ascorbyl palmitate, ascorbic acid and sodium chloride concentrations). A temperature elevation of 30 to 60oC reduced PV and TBARS, a pH change from 3.0 to 7.0 increased PV and reduced TBARS, and the presence of ascorbic acid (1 mmol/L) had no significant effect on PV but increased TBARS (p<0.05). Thus, the temperature was fixed at 30oC, and an emulsion was formulated with different combinations of ascorbic acid, iron and pH according to a central composite rotatable design. Regression models were fitted to PV and TBARs responses and optimized to get the higher values of both markers of oxidation. The optimized emulsion containing 1.70 mmol/L AH (ascorbic acid) and 0.885 mmol/L FeSO4•7H2O (1.0 mmol/L Fe2+) at pH 5.51 and 30oC. The range of variation observed for oxidation markers in the optimized emulsion model (PV: 0 to 4.27 meq/L, TBARS: 0 -13.55 mmol/L) was larger than the variation observed in the non-optimized model (PV: 0 to 1.05 meq/L, TBARS: 0 -1.00 mmol/L). The antioxidant activity of six compounds (Trolox, α-tocopherol, caffeic acid, gallic acid, catechin and TBHQ) was evaluated using the optimized emulsion conditions. After application of the Tukey HSD post-hoc statistical test, the samples that were not different (p<0.05) in the non-optimized emulsions showed a significant difference in the optimized emulsions. Considering the importance of the interactions on oxidation studies, our model represents a significant improvement in a direct methodology that can be applied to evaluate natural compounds under different combination of factors.
Authors:
Gabriel Favalli Branco; Maria Isabel Rodrigues; Luiz Gioielli; Inar Alves Castro
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-9-30
Journal Detail:
Title:  Journal of agricultural and food chemistry     Volume:  -     ISSN:  1520-5118     ISO Abbreviation:  -     Publication Date:  2011 Sep 
Date Detail:
Created Date:  2011-10-3     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0374755     Medline TA:  J Agric Food Chem     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
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