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Optimization and prediction of antioxidant properties of a tea‐ginger extract

机译：茶姜提取物抗氧化性能的优化和预测

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AbstractA response surface approach was used to investigate the effects of temperature, concentration, and time on the antioxidant properties (total flavonoid (TF), total phenol (TP), peroxide scavenging activity (PS), iron chelating activity (IC), DPPH radical-scavenging ability (DPPH), ABTS assay (ABTS)) of aqueous extract of tea-ginger (2:1) powder. Color indices, pH, and redox potential of the tea-ginger powder were also measured and used as independent variables for the prediction of antioxidant properties of the extract using ordinary least square (OLSR), principal component (PCR), and partial least square (PLSR) regression. The R2 values for TP, TF, ABTS, and PS response surface models were 0.8873, 0.9639, 0.6485, and 0.5721, respectively. The OLSR, PCR, and PLSR were able to provide predictive models for DPPH, TP, and TF of the tea-ginger extract (P  0.05). The PLSR gave the most parsimonious model with an R2 of 0.851, 0.736, and 0.905 for DPPH, TP, and TF, respectively.
机译：摘要采用响应面方法研究了温度，浓度和时间对抗氧化剂性能的影响（总黄酮（TF），总酚（TP），清除过氧化物的活性（PS），铁螯合活性（IC），DPPH自由基-姜粉（2：1）粉末的水提取物的清除能力（DPPH），ABTS测定（ABTS）。还测量了茶姜粉的颜色指数，pH和氧化还原电位，并用作独立变量，使用普通最小二乘（OLSR），主成分（PCR）和偏最小二乘（ PLSR）回归。 TP，TF，ABTS和PS响应表面模型的R 2 值分别为0.8873、0.9639、0.6485和0.5721。 OLSR，PCR和PLSR能够为茶姜提取物的DPPH，TP和TF提供预测模型（P <0.05）。 PLSR给出了最简化的模型，对于DPPH，TP和TF，R 2 分别为0.851、0.736和0.905。

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