Optimization of microwave-assisted extraction of total polyphenolic compounds from chokeberries by response surface methodology and artificial neural network
- 1 February 2016
- journal article
- Published by Elsevier BV in Separation and Purification Technology
- Vol. 160, 89-97
- https://doi.org/10.1016/j.seppur.2016.01.019
Abstract
No abstract availableKeywords
Funding Information
- Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja (OI 172047)
This publication has 52 references indexed in Scilit:
- Comparison of microwave‐assisted and conventional extraction of mangiferin from mango (Mangifera indicaL.) leavesJournal of Separation Science, 2013
- Optimization of base-catalyzed ethanolysis of sunflower oil by regression and artificial neural network modelsFuel Processing Technology, 2013
- The Involvement of a Polyphenol-Rich Extract of Black Chokeberry in Oxidative Stress on Experimental Arterial HypertensionEvidence-Based Complementary and Alternative Medicine, 2013
- Study on the PEG‐based microwave‐assisted extraction of flavonoid compounds from persimmon leavesJournal of Separation Science, 2012
- Stability of Chokeberry Bioactive Polyphenols during Juice Processing and Stabilization of a Polyphenol-Rich Material from the By-ProductAgriculture, 2012
- Optimization of total phenolic content extracted from Garcinia mangostana Linn. hull using response surface methodology versus artificial neural networkIndustrial Crops and Products, 2012
- Microwave assisted extraction of secondary metabolites from plants: Current status and future directionsTrends in Food Science & Technology, 2011
- Solid-phase extraction of berries’ anthocyanins and evaluation of their antioxidative propertiesFood Chemistry, 2010
- Optimisation of antioxidant activity of grape cane extracts using response surface methodologyFood Chemistry, 2009
- Antioxidant Activity of Plant Extracts Containing Phenolic CompoundsJournal of Agricultural and Food Chemistry, 1999