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用于快速灵敏测定秋水仙碱的高效液相色谱-紫外检测法的提取、开发与验证 。 (原文最后“from”后面缺少具体内容,翻译可能不太完整准确)

Extraction, development and validation of HPLC-UV method for rapid and sensitive determination of colchicine from .

作者信息

Çankaya Nevin, Bulduk İbrahim, Çolak Ayşen Melda

机构信息

Department of Chemistry, Faculty of Science, Uşak University, 64100 Uşak, Turkey.

School of Health, Uşak University, 64100 Uşak, Turkey.

出版信息

Saudi J Biol Sci. 2019 Feb;26(2):345-351. doi: 10.1016/j.sjbs.2018.10.003. Epub 2018 Oct 3.

Abstract

also known as the autumn crocus, contains colchicine alkaloid having antifungal properties. The tuber of this plant is rich in terms of colchicine. In this research an ultrasound-assisted extraction (UAE) method was optimized for the extraction of colchicine from bulbs before high-performance liquid chromatography with UV detection (HPLC-UV). Optimization of various extraction parameters was performed using response surface methodology (RSM) to evaluate the maximum colchicine yield from bulbs. The Box-Behnken design (BBD) and RSM were used to investigate the effect of three key parameters (extraction time (20-60 min), extraction temperature (40-80 °C) and ultrasound power (500-700 W) on extraction efficiency. The variance analysis suggested that the dependent response variable of yield of colchicine may be expressed by a quadratic polynomial model. The optimal theoretical extraction conditions were found to be an ultrasonication power of 602.4 W, an extraction time of 42 min and a temperature of 64 °C. Under these conditions, the optimum foreseen yield was 0.237%. The experimental colchicine yield obtained by following the optimized conditions was found to be 0.238%. These values are very well compatible with each other.

摘要

也被称为秋水仙,含有具有抗真菌特性的秋水仙碱生物碱。这种植物的块茎富含秋水仙碱。在本研究中,在高效液相色谱-紫外检测(HPLC-UV)之前,对从鳞茎中提取秋水仙碱的超声辅助提取(UAE)方法进行了优化。使用响应面法(RSM)对各种提取参数进行优化,以评估从鳞茎中获得的最大秋水仙碱产量。采用Box-Behnken设计(BBD)和RSM研究了三个关键参数(提取时间(20 - 60分钟)、提取温度(40 - 80°C)和超声功率(500 - 700瓦))对提取效率的影响。方差分析表明,秋水仙碱产量的相关响应变量可以用二次多项式模型表示。发现最佳理论提取条件为超声功率602.4瓦、提取时间42分钟和温度64°C。在这些条件下,预计的最佳产量为0.237%。按照优化条件获得的实验秋水仙碱产量为0.238%。这些值彼此非常吻合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7438/6717106/21610e536df0/gr1.jpg

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