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|Title:||QCAR models to predict wild mushrooms radical scavenging activity, reducing power and lipid peroxidation inhibition|
|Authors:||Froufe, Hugo J.C.|
Abreu, Rui M.V.
Ferreira, Isabel C.F.R.
|Citation:||Froufe, Hugo J.C.; Abreu, Rui M.V.; Ferreira, Isabel C.F.R. (2011) - QCAR models to predict wild mushrooms radical scavenging activity, reducing power and lipid peroxidation inhibition. Chemometrics and Intelligent Laboratory Systems. ISSN 0169-7439. 109:2, p. 192-196|
|Abstract:||Wild mushrooms have become attractive as a source of physiologically beneficial compounds including antioxidants such as phenolic compounds and tocopherols. The concentrations of antioxidant compounds (phenolics and α-tocopherol) and EC50 values of antioxidant activity (concentration required to achieve 50% of radical scavenging activity and lipid peroxidation inhibition, or 0.5 of absorbance in reducing power) were analyzed by partial least square (PLS) regression analysis. Three QCAR (Quantitative Composition-Activity Relationship) models were constructed and their robustness and predictability were verified by internal and external cross-validation methods. Antioxidant activity correlated well with phenolics and -tocopherol contents, the major antioxidants in wild mushrooms. The models proved to be useful tools in the prediction of mushrooms radical scavenging activity, reducing power and lipid peroxidation inhibition.|
|Appears in Collections:||BB - Artigos em Revistas Indexados ao ISI/Scopus|
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|Froufe_et_al_CILS_revised.pdf||334,58 kB||Adobe PDF||View/Open|
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