使用平行阵列微流体柱液体染色学 (palmLC) 选择正确的C18静止相.
Hanchen Cao1, Tianyue Feng1, Kaiming Ji2
1Department of Chemistry and the MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, College of Chemistry and Chemical Engineering, State Key Laboratory of Vaccines for Infectious Diseases, Xiang An Biomedicine Laboratory, Xiamen University, Xiamen 361005, China.
Analytical chemistry
|May 12, 2025
概括
一个新的平行阵列微流体柱液态染色学 (palmLC) 平台使得传统中医 (TCM) 分析的高效,低成本的静止相选成为可能. 这种方法显著提高了选效率,同时保持了色谱性能,以更好地控制质量.
科学领域:
- 分析化学 分析化学
- 染色体学 染色体学 是一种染色学.
- 微流体学 微流体学
背景情况:
- 静止阶段查 (SPS) 对于药物研究中的染色分离至关重要,特别是在复杂的传统中医 (TCM) 中.
- 当前的SPS方法往往是低效的,昂贵的,并忽视静止相之间的微妙差异,如各种C18类型,影响TCM组件分离.
- 优化静止相选择对于实现高选择性和TCM中活性成分的准确分析至关重要.
研究的目的:
- 开发一种高效,低成本,易于原型化的平行阵列微流体柱液态染色学 (palmLC) 平台,用于静止相选.
- 与标准系统相比,评估palmLC平台在染色学效率和分辨率方面的性能.
- 证明palmLC平台的实用性,用于识别最佳静止阶段,用于分析复杂的TCM.
主要方法:
- 开发了一个palmLC平台,使用批量准备的毛细管柱和多通道毛细管微流体组件进行并行静止相选.
- 将palmLC系统的染色学性能 (效率和分辨率) 与标准单列液态染色学系统进行比较.
- 在分析*Panax notoginseng*,*Gastrodia elata*和*Polygala tenuifolia*时,应用了palmLC平台进行静止阶段选.
主要成果:
- 棕LC系统的染色学性能与标准系统相提并论 (例如,效率:5110与5150板;分辨率:2.77与3.39).
- 使用palmLC平台实现了600%的选效率提高.
- 成功确定了最佳的C18静止阶段,用于分离 *Panax notoginseng* 和 *Gastrodia elata* 中的目标组件,并为 *Polygala tenuifolia* *提供了全面的分离配置.
结论:
- 开发的palmLC平台为染色体分析中的静止相选提供了一种高效,具有成本效益和可靠的解决方案.
- 该平台有效地同时选多个静止相,为TCM等复杂样品的分离能力提供全景.
- 棕LC策略是传统中医分析中高清质量控制和分析的宝贵工具.
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