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基于模拟指导的方法选择反相高效液相色谱柱用于平台小分子分离。

A simulation-guided approach to the selection of RPLC columns for platform small molecule separations.

机构信息

Department of Chemistry, Drexel University, 32 South 32nd St., Philadelphia, PA 19104, USA.

Bristol Myers Squibb, 1 Squibb Dr, New Brunswick, NJ 08901, USA.

出版信息

J Chromatogr A. 2024 Aug 16;1730:465131. doi: 10.1016/j.chroma.2024.465131. Epub 2024 Jun 29.

Abstract

Simulations were conducted to evaluate the potential of several hundred reversed-phase columns to separate small molecules. By calculating the retention factor of compounds in randomly generated virtual mixtures via the HSM (hydrophobic subtraction model) and applying basic chromatography theory, the simulation can estimate the retention time and peak width of every virtual compound and calculate the resolution between every adjacent pair of compounds. A preferred column set based on the number of successful separations of randomly generated virtual mixtures was developed. The tandem-column liquid chromatography (TC-LC) approach can separate 53.2 % of the 16-compound samples using 20 tandem-column pairs, while a single-column approach can only separate 42.6 % of the 16-compound samples with 20 single columns. The preferred set of columns obtained from the simulation was almost the same as the empirical set of columns previously obtained. In screening applications, TC-LC can achieve a comparably successful separation factor (selectivity) with a smaller column inventory (nine 50-mm columns) compared to the larger inventory needed by single-column LC (twenty-one 100-mm columns).

摘要

进行了模拟,以评估数百种反相柱分离小分子的潜力。通过通过 HSM(疏水扣除模型)计算随机生成的虚拟混合物中化合物的保留因子,并应用基本色谱理论,可以估算每个虚拟化合物的保留时间和峰宽,并计算每个相邻化合物对之间的分辨率。基于随机生成的虚拟混合物成功分离的化合物数量,开发了首选柱集。使用 20 对串联柱,串联柱液相色谱(TC-LC)方法可以分离 16 种化合物样品中的 53.2%,而使用 20 根单柱,单柱方法只能分离 16 种化合物样品中的 42.6%。从模拟中获得的首选柱集几乎与先前获得的经验柱集相同。在筛选应用中,与单柱 LC 所需的更大库存(二十一 100mm 柱)相比,TC-LC 可以使用较小的柱库存(九个 50mm 柱)实现可比的成功分离因子(选择性)。

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