Logo do repositório
 
Miniatura indisponível
Publicação

QCAR models to predict wild mushrooms radical scavenging activity, reducing power and lipid peroxidation inhibition

Utilize este identificador para referenciar este registo.
Nome:Descrição:Tamanho:Formato: 
QCAR.pdf491.67 KBAdobe PDF Ver/Abrir
Froufe_et_al_CILS_revised.pdf334.58 KBAdobe PDF Ver/Abrir

Orientador(es)

Resumo(s)

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.

Descrição

Palavras-chave

Wild mushrooms Phenolics Alpha-tocopherol Antioxidant activity QCAR PLS

Contexto Educativo

Citação

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

Unidades organizacionais

Fascículo

Editora

Elsevier

Licença CC

Métricas Alternativas