多步线上预度技术的进步,以提高毛细血管电泳的灵敏度
Aemi Syazwani Abdul Keyon1,2, NyukTing Ng1, Michael Charles Breadmore3
1Department of Chemistry, Faculty of Science, Universiti Teknologi Malaysia, UTM, Johor Bahru, Malaysia.
Journal of separation science
|September 20, 2024
概括
在毛细血管电泳 (CE) 中的多步线上预缩通过结合堆叠技术来提高灵敏度. 本综述涵盖了这些分析复杂样本方法的最新进展.
科学领域:
- 分析化学 分析化学
- 分离科学 分离科学
背景情况:
- 复杂样品的毛细电泳 (CE) 灵敏度通常是有限的.
- 在线预度技术对于提高CE中的分析物检测至关重要.
研究的目的:
- 审查最近在CE多步线上预缩技术的进展.
- 批判性地分析过去七年 (至2024年7月) 发表的方法.
主要方法:
- 对技术论文的审查,重点是堆叠技术的组合.
- 基于主要堆叠方法的分类:场放大,大体积样本堆叠,短暂的同位电泳和基于菌根的堆叠.
- 对程序,机制,优点数据和矩阵可行性的分析.
主要成果:
- 多步骤技术使不同分析物的同时预缩和分离成为可能.
- 这些方法显著提高了各种复杂的样本矩阵的灵敏度.
- 最近的进展表明,堆叠模式的协同和顺序组合.
结论:
- 多步线上预度是一种强有力的策略,可以提高CE的敏感性.
- 这些技术为分析具有挑战性的样本提供了多功能解决方案.
- 持续的发展有望进一步提高分析性能.
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