Yang, Qiong-Qiong; Gan, Ren-You; Zhang, Dan; Ge, Ying-Ying; Cheng, Li-Zeng; Corke, Harold published the artcile< Optimization of kidney bean antioxidants using RSM & ANN and characterization of antioxidant profile by UPLC-QTOF-MS>, Recommanded Product: D-Glucosaccharic acid, the main research area is kidney bean antioxidant quadrupole time flight mass spectrometry.
In this study, response surface methodol. (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 g DW) and the strongest antioxidant activity (56.03 μmol Trolox/g DW) were obtained under optimal extraction conditions (70 min extraction time, 53% acetone, and 37 mL/g solvent-to-solid ratio). Response values were close to the predicted values with prediction accuracy as RBF > MLP > RSM, indicating that ANN model has higher prediction accuracy than RSM. Furthermore, UPLC-QTOF-MS anal. of extracts under the optimal extraction conditions showed that there were 25 antioxidant compounds detected, 13 of which were proposed from kidney beans for the first time.
LWT–Food Science and Technology published new progress about Antioxidants. 87-73-0 belongs to class alcohols-buliding-blocks, and the molecular formula is C6H10O8, Recommanded Product: D-Glucosaccharic acid.
Referemce:
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