Suppr超能文献

用于优化高效液相色谱法分离并验证茎中落新妇苷的Box-Behnken设计

The Box-Behnken Design for Optimizing HPLC Separation and Validation of Astilbin in Stems.

作者信息

Monton Chaowalit, Suksaeree Jirapornchai

机构信息

Drug and Herbal Product Research and Development Center, College of Pharmacy, Rangsit University, Muang, Pathum Thani 12000, Thailand.

Department of Pharmacognosy, College of Pharmacy, Rangsit University, Muang, Pathum Thani 12000, Thailand.

出版信息

Scientifica (Cairo). 2024 Dec 24;2024:6177990. doi: 10.1155/sci5/6177990. eCollection 2024.

Abstract

The goal of the research was to use BBD, a productive RSM approach, to enhance the HPLC separation and validation of astilbin in stems. The percentage of acetonitrile (ACN), flow rate, and temperature were among the independent parameters that determined how much the chromatographic condition chosen from factor-level screens lowered the of astilbin. The six dependent variables were , PA, ', Rs, N, and As. The following HPLC settings were optimal for astilbin separation: 19% ACN at - , 0.8 mL/min flow rate, and 25°C temperature, resulting in a 26-min reduction in working time. This resulted in a separation success rate of 68.57%. Findings revealed the following sequence for , PA, ', Rs, , and As: 12.108 ± 0.010 min, 78,845,108 ± 420,267, 2.510 ± 0.003, 2.141 ± 0.024, 10,945 ± 80, and 0.991 ± 0.005. The limit of detection was 0.10 μg/mL, while the limit of quantitation was 0.20 μg/mL. The calibration curve was constructed using concentrations ranging from 0.39 to 50 μg/mL, with an value of 0.9991, indicating excellent linearity. The intraday and interday precision RSD values were 0.069%-1.892% and 0.993%-3.229%, respectively. Recovery values were between 95.56% and 105.57%, confirming the method's accuracy. Astilbin was found at 175.51 ± 7.80 μg in stem extracts; its actual concentration was 3.51 ± 0.16%. The usefulness of astilbin as a chemical marker in stems may therefore be determined based on the criteria that have been established using this information.

摘要

该研究的目标是使用响应曲面法(RSM)中的一种高效方法——Box-Behnken设计(BBD),来优化虎杖茎中落新妇苷的高效液相色谱(HPLC)分离及验证。乙腈(ACN)百分比、流速和温度是独立变量,它们决定了从因子水平筛选中选择的色谱条件对落新妇苷分离度的影响程度。六个因变量分别是保留时间、峰面积、峰宽、分离度、理论塔板数和不对称因子。以下HPLC设置最适合落新妇苷分离:19%乙腈、柱温[原文此处缺失柱温具体数值]、流速0.8 mL/min以及温度25°C,这使得分析时间减少了26分钟。这导致分离成功率达到68.57%。研究结果显示保留时间、峰面积、峰宽、分离度、理论塔板数和不对称因子的数值依次为:12.108±0.010分钟、78,845,108±420,267、2.510±0.003、2.141±0.024、10,945±80和0.991±0.005。检测限为0.10μg/mL,定量限为0.20μg/mL。校准曲线的浓度范围为0.39至50μg/mL,相关系数R²值为0.9991,表明线性关系良好。日内和日间精密度的相对标准偏差(RSD)值分别为0.069% - 1.892%和0.993% - 3.229%。回收率在95.56%至105.57%之间,证实了该方法的准确性。在虎杖茎提取物中检测到落新妇苷的含量为175.51±7.80μg;其实际浓度为3.51±0.16%。因此,可以根据利用这些信息建立的标准来确定落新妇苷作为虎杖茎化学标志物的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3608/11688138/a415e9951a09/SCIENTIFICA2024-6177990.001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验