Xu Mengjie, Shao Qingsong, Ye Shenyi, Li Shuailing, Wu Mei, Ding Mozhi, Li Yanjing
State Key Laboratory of Subtropical Silviculture, Zhejiang A & F UniversityHangzhou, China.
The Department of Traditional Chinese Medicine, Zhejiang A & F UniversityHangzhou, China.
Front Plant Sci. 2017 Aug 24;8:1474. doi: 10.3389/fpls.2017.01474. eCollection 2017.
This study used MAE and RSM to extract phenolic compounds from , and the optimum conditions defined by the model to give an optimum yield of 1.31%. The antioxidant activity showed when the concentration of phenolic compounds was reached 1 mg mL, the clearance rates were 82.58% for DPPH and 97.62% for ABTS. antioxidant experiments used D-galactose to build oxidative damage in healthy Kunming mice. The result showed that the extractions of can improve the antioxidant ability and the medium and low dose groups had better ability to scavenge free radicals. The UPLC-Q-TOF-MS/MS was developed to identify 21 kinds of phenolic compounds by molecular mass, ms/ms fragmentation, as well as retention time. The result showed that the phenolic compounds of had significant potential as a natural antioxidant to promote health and to reduce the risk of disease.
本研究采用微波辅助萃取(MAE)和响应面法(RSM)从[具体物质未给出]中提取酚类化合物,模型确定的最佳条件下获得了1.31%的最佳产率。抗氧化活性表明,当酚类化合物浓度达到1mg/mL时,对二苯代苦味酰自由基(DPPH)的清除率为82.58%,对2,2'-联氮-双-3-乙基苯并噻唑啉-6-磺酸(ABTS)的清除率为97.62%。抗氧化实验使用D-半乳糖在健康昆明小鼠中构建氧化损伤。结果表明,[具体物质未给出]的提取物可提高抗氧化能力,中低剂量组具有更好的自由基清除能力。采用超高效液相色谱-四极杆-飞行时间串联质谱(UPLC-Q-TOF-MS/MS)通过分子量、质谱/质谱碎片以及保留时间来鉴定21种酚类化合物。结果表明,[具体物质未给出]中的酚类化合物作为天然抗氧化剂具有显著的促进健康和降低疾病风险的潜力。