کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1179805 | 962798 | 2011 | 5 صفحه PDF | دانلود رایگان |
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 α-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.
► QCAR models were elaborated to predict mushrooms antioxidant activity.
► Phenolics and α-tocopherols provide the best correlations.
► Internal and external validations confirm the predictive power of the models.
Journal: Chemometrics and Intelligent Laboratory Systems - Volume 109, Issue 2, 15 December 2011, Pages 192–196