Liu Feng, Liu Wenhui, Tian Shuge
College of Chemistry and Chemical Engineering, Xinjiang Normal University, Xinjiang 830054, China.
College of Information Sciences and Technology, Xinjiang Education Institute, Xinjiang 830043, China.
Int J Biol Macromol. 2014 Sep;70:100-7. doi: 10.1016/j.ijbiomac.2014.06.040. Epub 2014 Jun 28.
A combination of an orthogonal L16(4)4 test design and a three-layer artificial neural network (ANN) model was applied to optimize polysaccharides from Althaea rosea seeds extracted by hot water method. The highest optimal experimental yield of A. rosea seed polysaccharides (ARSPs) of 59.85 mg/g was obtained using three extraction numbers, 113 min extraction time, 60.0% ethanol concentration, and 1:41 solid-liquid ratio. Under these optimized conditions, the ARSP experimental yield was very close to the predicted yield of 60.07 mg/g and was higher than the orthogonal test results (40.86 mg/g). Structural characterizations were conducted using physicochemical property and FTIR analysis. In addition, the study of ARSP antioxidant activity demonstrated that polysaccharides exhibited high superoxide dismutase activity, strong reducing power, and positive scavenging activity on superoxide anion, hydroxyl radical, 2,2-diphenyl-1-picrylhydrazyl, and reducing power. Our results indicated that ANNs were efficient quantitative tools for predicting the total ARSP content.
采用正交L16(4)4试验设计与三层人工神经网络(ANN)模型相结合的方法，对热水法提取的蜀葵种子多糖进行优化。在提取次数为3次、提取时间为113分钟、乙醇浓度为60.0%、固液比为1:41的条件下，获得了最高的蜀葵种子多糖(ARSPs)最佳实验产率，为59.85 mg/g。在这些优化条件下，ARSP的实验产率与预测产率60.07 mg/g非常接近，且高于正交试验结果(40.86 mg/g)。通过理化性质和傅里叶变换红外光谱(FTIR)分析进行结构表征。此外，对ARSP抗氧化活性的研究表明，多糖具有较高的超氧化物歧化酶活性、较强的还原能力，对超氧阴离子、羟基自由基、2,2-二苯基-1-苦基肼自由基具有积极的清除活性以及还原能力。我们的结果表明，人工神经网络是预测ARSP总含量的有效定量工具。
