School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, People's Republic of China.
The Afliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250011, People's Republic of China.
Int J Biol Macromol. 2018 Aug;115:618-624. doi: 10.1016/j.ijbiomac.2018.04.063. Epub 2018 Apr 14.
The maca polysaccharides optimal extraction conditions were obtained by using response surface methodology (RSM) method and the anti-fatigue activity of maca polysaccharides (MCP) was explored. The maca polysaccharides extract yield of RSM could reach 9.97 mg/g by using the model predicts, and the total sugar and protein purity were 61.00% and 4.46% with the further isolation process, respectively. And the monosaccharide compositions obtained by gas chromatograph (GC) were composed of rhamnose (rha), glucose (glc), galactose (gal) with the ratio of 2.34:10.21:1.00. Furthermore, the anti-fatigue activity was evaluated by the swimming parameter, biochemistry parameters (liver glycogen (LG), blood urea nitrogen (BUN), and lactic acid (LD)), the result indicated that the low-dose maca polysaccharides group had the significant anti-fatigue activity.
采用响应面法(RSM)得到了玛咖多糖的最佳提取条件,并探讨了玛咖多糖(MCP)的抗疲劳活性。RSM 预测玛咖多糖提取物的收率可达 9.97mg/g,进一步分离后总糖和蛋白质纯度分别为 61.00%和 4.46%。气相色谱(GC)得到的单糖组成为鼠李糖(rha)、葡萄糖(glc)、半乳糖(gal),比例为 2.34:10.21:1.00。此外,通过游泳参数、生化参数(肝糖原(LG)、血尿素氮(BUN)和乳酸(LD))评估了抗疲劳活性,结果表明低剂量玛咖多糖组具有显著的抗疲劳活性。