Schwarzkopf Fabian, Scholl Tobias, Ohla Stefan, Belder Detlev
Institut für Analytische Chemie, Universität Leipzig, Leipzig, Germany.
Electrophoresis. 2014 Jul;35(12-13):1880-6. doi: 10.1002/elps.201300615. Epub 2014 Apr 13.
A comprehensive study for a sensitivity optimization in MCE with mass spectrometric detection is presented. As a text mixture, we chose a mixture of the cardiac drugs propranolol, bisoprolol, lidocaine, procaine and studied the effect of different chip layouts and experimental parameters with the aim of achieving both high sensitivity in MS detection and adequate chip electrophoretic separation. An important aspect was a comparison of microfluidic layouts containing various sheath-flow channels with that avoiding sheath-flow junctions on-chip. We utilized glass chips with monolithically integrated nanospray emitter tips coupled dead volume-free to an IT mass spectrometer running in fragmentation mode (MS(n) ). With this setup, detection limits down to 0.6 ng/mL for the model compound propranolol were achieved.
本文介绍了一项关于采用质谱检测的微流控芯片电泳（MCE）灵敏度优化的综合研究。作为测试混合物，我们选择了包含心脏药物普萘洛尔、比索洛尔、利多卡因和普鲁卡因的混合物，并研究了不同芯片布局和实验参数的影响，目的是在质谱检测中实现高灵敏度以及芯片电泳的充分分离。一个重要方面是对包含各种鞘流通道的微流控布局与避免芯片上鞘流连接的布局进行比较。我们使用了具有单片集成纳米喷雾发射器尖端的玻璃芯片，该芯片与以碎裂模式运行的离子阱质谱仪（MS(n)）无死体积连接。通过这种设置，模型化合物普萘洛尔的检测限低至0.6 ng/mL。
