کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1179805 962798 2011 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
QCAR models to predict wild mushrooms radical scavenging activity, reducing power and lipid peroxidation inhibition
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
QCAR models to predict wild mushrooms radical scavenging activity, reducing power and lipid peroxidation inhibition
چکیده انگلیسی

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chemometrics and Intelligent Laboratory Systems - Volume 109, Issue 2, 15 December 2011, Pages 192–196
نویسندگان
, , ,