Optimization of kidney bean antioxidants using RSM & ANN and characterization of antioxidant profile by UPLC-QTOF-MS

Volume: 114, Pages: 108321 - 108321
Published: Nov 1, 2019
Abstract
In this study, response surface methodology (RSM) and two artificial neural networks (ANN), multi-layer perceptron (MLP) and radial basis function (RBF), were used for the first time to model and optimize the extraction conditions of phenolic compounds in kidney beans in order to compare and establish effective prediction models. A total of 40 experiments were performed to screen for variables. The highest amount of polyphenols (917.2 mg GAE/100...
Paper Details
Title
Optimization of kidney bean antioxidants using RSM & ANN and characterization of antioxidant profile by UPLC-QTOF-MS
Published Date
Nov 1, 2019
Journal
Volume
114
Pages
108321 - 108321
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.