首页> 外文期刊>Acta Chromatographica >Ultrasonic-assisted extraction process and method validation for deoxypodophyllotoxin from the roots of Anthriscus sylvestris: Application of response surface methodology and UPLC–PDA–QDa
【24h】

Ultrasonic-assisted extraction process and method validation for deoxypodophyllotoxin from the roots of Anthriscus sylvestris: Application of response surface methodology and UPLC–PDA–QDa

机译:樟脑根中脱氧鬼臼毒素的超声辅助提取工艺和方法验证:响应面法和UPLC–PDA–QDa的应用

获取原文
           

摘要

Deoxypodophyllotoxin (DPT), or anthricin, is a lignan isolated from the roots of Anthriscus sylvestris and is reported to exhibit anti-inflammatory, anti-oxidant, and anti-asthmatic effects. Herein, the conditions for the extraction of DPT from A. sylvestris are optimized using a Box–Behnken design (BBD) method based on response surface methodology (RSM). DPT was detected by ultra-performance liquid chromatography coupled with photodiode array and quadrupole detector (UPLC–PDA–QDa) and analytical validation methods based on International Conference on Harmonization (ICH) guidelines. In preliminary experiments, the experimental conditions of extraction time, solvent percentage, and temperature were selected for optimization. The adequacy of the experimental model was statistically evaluated, and the regression coefficient (R2), adjusted regression coefficient (R2adjust), and p-value of the lack-of-fit were determined as 97.86%, 94.02%, and 0.124, respectively. The maximum yield of DPT was estimated to be 2.341 mg/g for 30 min in 100% methanol at 60 °C, and the actual yield was measured as 2.295 mg/g (±0.023) under the same conditions.
机译:脱氧鬼臼毒素(DPT)或anthricin是从樟脑炭疽病根中分离出来的木脂素,据报道具有抗炎,抗氧化和抗哮喘作用。在此,使用基于响应面方法(RSM)的Box-Behnken设计(BBD)方法优化了从樟子松中提取DPT的条件。 DPT通过超高效液相色谱法与光电二极管阵列和四极杆检测器(UPLC–PDA–QDa)结合使用,并根据国际协调会议(ICH)准则进行分析验证。在初步实验中,选择了提取时间,溶剂百分比和温度的实验条件进行了优化。对实验模型的充分性进行统计评估,将拟合系数的回归系数(R2),调整后的回归系数(R2adjust)和p值分别确定为97.86%,94.02%和0.124。在60°C下于100%甲醇中30分钟,DPT的最大产量估计为2.341 mg / g,在相同条件下测得的实际产量为2.295 mg / g(±0.023)。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号