Optimization of Microwave Assisted Aqueous Two‐Phase Extraction of Polysaccharides from Malus hupehensis and Evaluation Its Antioxidant Activity

Starch Pub Date : 2024-03-15 DOI:10.1002/star.202300266
Hongkun Xue, Yuchao Gao, Haoyu Qiu, Yumei Sang, Jianqing Liao, Jiaqi Tan
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Abstract

The two models of microwave assisted aqueous two‐phase extraction (MATPE) of polysaccharides from Malus hupehensis are established by response surface methodology (RSM) and back propagation neural network (BP‐NN), compared their prediction ability, and comparatively optimized extraction process by using RSM and BP‐NN coupled genetic algorithm (GA), and the antioxidant activity of M. hupehensis polysaccharides (MHPs) is evaluated by the scavenging ability of free radicals. The results show that the predictive ability of BP‐NN is significantly better than that of RSM. The optimal extraction parameters to achieve the highest MHPs yield (4.71 ± 0.04)% by MATPE are obtained through BP‐NN coupled GA method under the microwave power of 337 W, mass fraction of ammonium sulfate of 23%, ethanol concentration of 29%, and liquid‐to‐solid ratio of 22 mL g−1. The IC50 values of 2,2‐diphenyl‐1‐picrylhydrazyl (DPPH) and hydroxyl radicals (OH) scavenging capacities for MHPs achieve 5.13 and 3.29 mg mL−1, respectively. The findings provide important references for the development and utilization of M. hupehensis.

Abstract Image

微波辅助水溶液两相萃取黄桷树多糖的优化及其抗氧化活性评估
利用响应面方法学(RSM)和反向传播神经网络(BP-NN)建立了微波辅助水溶液两相萃取(MATPE)黄枞多糖的两种模型,比较了两种模型的预测能力,并利用RSM和BP-NN耦合遗传算法(GA)对萃取工艺进行了比较优化,通过自由基清除能力评价了黄枞多糖的抗氧化活性。结果表明,BP-NN 的预测能力明显优于 RSM。在微波功率为 337 W、硫酸铵质量分数为 23%、乙醇浓度为 29%、液固比为 22 mL g-1 的条件下,通过 BP-NN 耦合 GA 法获得了 MATPE 最高 MHPs 产率(4.71 ± 0.04)% 的最佳萃取参数。MHPs 清除 2,2-二苯基-1-苦基肼(DPPH)和羟基自由基(OH)的 IC50 值分别为 5.13 和 3.29 mg mL-1。这些研究结果为开发和利用海扇藻提供了重要参考。
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