A rapid optimization method for Sepbox system separation using HPTLC: an application of Cerbera manghas L. separation†

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Ta-Wei Liu, Po-Yen Lin, Man-Hsiu Chu, San-Yuan Wang and Ching-Kuo Lee
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Abstract

The rapid isolation of natural products and efficient drug screening are pivotal in expediting drug development. Techniques ranging from traditional open column chromatography to medium-pressure liquid chromatography (MPLC), and the latest Sepbox technology, have been developed to accelerate separation processes and streamline drug development timelines. The Sepbox system combines two-dimensional high-performance liquid chromatography (2D-HPLC) and solid-phase extraction (SPE) technologies, coupled with UV and evaporative light scattering detection (ELSD) systems, offering various column options to cater to diverse sample requirements. Furthermore, the Sepbox system automates and expedites sample fractionation into numerous fractions, facilitating subsequent high-throughput screening and analysis. Despite previous emphasis on 2D-HPLC development, optimizing separation conditions with the Sepbox system poses challenges due to the requirement for substantial sample and solvent quantities, limiting its practicality compared to conventional methods. Hence, this study employed eight standard compounds to explore the correlation between retention factor (Rf) values obtained from high-performance thin-layer chromatography (HPTLC) plates and retention times on the Sepbox main column. Mass spectrometry was utilized to confirm the retention times of the standard compounds. The findings yielded a conversion equation between HPTLC Rf values and Sepbox main column retention times, thereby enhancing the separation efficiency of Sepbox 2D-2000 system. Finally, the efficacy of this method was validated using Cerbera manghas leaf crude extracts and its purified compounds, demonstrating the rapid optimization of suitable elution conditions for the Sepbox 2D-2000 system using HPTLC.

Abstract Image

Abstract Image

利用 HPTLC 进行 Sepbox 系统分离的快速优化方法:在 Cerbera manghas L. 分离中的应用。
天然产物的快速分离和高效药物筛选对于加快药物开发至关重要。从传统的开放柱色谱法到中压液相色谱法(MPLC),以及最新的 Sepbox 技术,都是为加速分离过程和缩短药物开发时间而开发的。Sepbox 系统结合了二维高效液相色谱 (2D-HPLC) 和固相萃取 (SPE) 技术,以及紫外和蒸发光散射检测 (ELSD) 系统,提供多种色谱柱选择,以满足不同的样品要求。此外,Sepbox 系统还能自动并加速将样品分馏为多个馏分,为后续的高通量筛选和分析提供便利。尽管以前强调过 2D-HPLC 的开发,但使用 Sepbox 系统优化分离条件仍面临挑战,因为需要大量样品和溶剂,与传统方法相比限制了其实用性。因此,本研究采用八种标准化合物来探讨从高效薄层色谱 (HPTLC) 板上获得的保留因子 (Rf) 值与 Sepbox 主柱上的保留时间之间的相关性。质谱法用于确认标准化合物的保留时间。研究结果得出了 HPTLC Rf 值与 Sepbox 主柱保留时间之间的转换方程,从而提高了 Sepbox 2D-2000 系统的分离效率。最后,使用 Cerbera manghas 叶粗提取物及其纯化化合物验证了该方法的有效性,证明了使用 HPTLC 可以快速优化 Sepbox 2D-2000 系统的合适洗脱条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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