Suppr超能文献

一种涵盖优化超声辅助提取与灵敏可变波长检测的贯众草药材质量控制的快速高效策略。

A Rapid and Efficient Strategy for Quality Control of Clinopodii herba Encompassing Optimized Ultrasound-Assisted Extraction Coupled with Sensitive Variable Wavelength Detection.

机构信息

School of Pharmacy, Wannan Medical College, Wuhu 241002, China.

Institute of Modern Chinese Medicine, Wannan Medical College, Wuhu 241002, China.

出版信息

Molecules. 2022 Jul 10;27(14):4418. doi: 10.3390/molecules27144418.

Abstract

Clinopodii herba is a folk herbal medicine for treatments of hemorrhagic disorders. However, there is not even a quantitative standard for clinopodii herba deposited in the Chinese Pharmacopoeia. The development of a strategy for rapid and efficient extraction and simultaneous detection of multiple components in clinopodii herba is therefore of great value for its quality evaluation. Here, a variable wavelength strategy was firstly applied to quantity multiple components by segmental monitoring by UHPLC with diode array detector following ultrasound-assisted extraction. The parameters of ultrasound-assisted extraction were optimized using single factor optimization experiments and response surface methodology by a Box-Behnken design combined with overall desirability. Subsequently, a rapid, efficient, and sensitive method was applied for simultaneous determination of eleven compounds, which represented the major and main types of components in clinopodii herba. Moreover, the performance of the validated method was successfully applied for the quality control of various batches of clinopodii herba and provided sufficient supporting data for the optimum harvest time. The Box-Behnken-optimized ultrasound-assisted extraction coupled with variable wavelength detection strategy established in this work not only improves the quality control of clinopodii herba, but also serves as a powerful approach that can be extended to quality evaluation of other traditional Chinese medicines.

摘要

筋骨草全草是一种民间草药,用于治疗出血性疾病。然而,《中国药典》中甚至没有筋骨草的定量标准。因此,开发一种快速、高效提取和同时检测筋骨草中多种成分的策略,对于其质量评价具有重要价值。本文首次采用 UHPLC 二极管阵列检测器在超声辅助提取后分段监测的可变波长策略,通过单因素优化实验和响应面法,结合整体可接受性,对超声辅助提取参数进行了优化。随后,应用该方法快速、高效、灵敏地同时测定了筋骨草中 11 种主要和主要类型的化合物。此外,所建立的方法还成功地应用于不同批次筋骨草的质量控制,并为最佳收获时间提供了充分的支持数据。本工作中建立的 Box-Behnken 优化超声辅助提取与可变波长检测策略不仅提高了筋骨草的质量控制水平,而且为其他中药的质量评价提供了一种有力的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/951b/9316769/b12798aa8b5f/molecules-27-04418-g001.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