An efficient methodology for quantification of synergy and antagonism in single electron transfer antioxidant assays

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Show simple item record Prieto Lage, Miguel Ángel Curran, Thomas P. Gowen, Aoife Vázquez Álvarez, José Antonio 2015-01-26T15:47:41Z 2015-01-26T15:47:41Z 2014 Elsevier en 2015-01
dc.identifier.citation Food Research International en
dc.description.abstract The development of new antioxidant compounds for incorporation in foods is a rapidly growing research area. The resulting interactions between complex antioxidant mixtures are a key issue; however, research in this area is still in its infancy. Experimental antioxidant models based on conventional dose¿responses, that can predict joint effects of chemical mixtures, are urgently needed. This paper illustrates a methodological procedure for single electron transfer (SET) antioxidant assays to determine the synergistic and antagonistic effects of combining binary mixtures of antioxidants. Despite the abundance of theories and procedures to describe the synergistic/antagonistic effects in SET assays, they appear to be inadequate. Some features hindering advances in this field include the lack of: (1) experimental design, as a result of the extended use of unambiguous and simplistic procedures to quantify the effects of joint responses, based on single-dose values; (2) detailed mathematical hypotheses to quantify dose¿response values, which in addition causes the associated difficulties for assessing the statistical consistence of the results; and (3) functional approaches that consider the possibility of interactive effects. This paper proposes solutions for each of these limitations. Established ideas from existing fields are used to replace the current simplistic procedures, in order to quantify the effects of joint responses. One of the common hypothesis (known as concentration addition) for describing the combined effects is established for SET assays. A dose dependent mathematical model representative of this hypothesis, based on probability functions with meaningful parameters, is applied. The interactive effects between antioxidants are introduced into the model with simple auxiliary functions that describe the variations induced by each antioxidant in the parameters that define the effects of the other. Finally, a comprehensive index to summarize the complex parametric responses in one single value is proposed. Although the approach was experimentally demonstrated just in two classical SET assays (DPPH and ABTS), the results could be directly expanded in future to other types of classical SET assays. The methodology proposed is more complex than some relatively common approaches; nevertheless we believe that it is free of the controversial aspects listed above. Statistically consistent responses of null, synergy and antagonism effects were found when characterizing the interactions between several pairs of individual and complex mixtures of chemical antioxidant agents. en
dc.language.iso en en
dc.publisher Elsevier en
dc.rights This is the author’s version of a work that was accepted for publication in Food Research International. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Food Research International (VOL 67, ISSUE 2015, (2015)) DOI: 10.1016/j.foodres.2014.11.030 en
dc.subject Synergy and antagonism en
dc.subject Mechanisms of interaction en
dc.subject Antioxidant interaction en
dc.subject SET assay en
dc.subject Dose-response analysis en
dc.title An efficient methodology for quantification of synergy and antagonism in single electron transfer antioxidant assays en
dc.type Journal Article en
dc.internal.availability Full text available en
dc.status Peer reviewed en
dc.identifier.volume 67 en
dc.identifier.startpage 284 en
dc.identifier.endpage 298 en
dc.identifier.doi 10.1016/j.foodres.2014.11.030
dc.neeo.contributor Prieto Lage|Miguel Ángel|aut|
dc.neeo.contributor Curran|Thomas P.|aut|
dc.neeo.contributor Gowen|Aoife|aut|
dc.neeo.contributor Vázquez Álvarez|José Antonio|aut|
dc.internal.rmsid 458028310 2015-01-20T09:55:44Z

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