Evaluation of sample injection precision in respect to sensitivity in capillary electrophoresis using various injection modes
Krzesimir Ciura , Aleksandra Pawelec , Magdalena Buszewska-Forajta , Michal Markuszewski , Joanna Nowakowska , Adam Prahl , Bartosz Wielgomas , Szymon Dziomba
AbstractA comparative study was conducted to assess the injection precision in capillary electrophoresis for cationic analytes (arecoline, codeine, papaverine). The precision was measured in respect to methods sensitivity in various injection modes in capillary electrophoresis: standard hydrodynamic injection (3.45 kPa for 6 s), large volume sample stacking (3.45 kPa for 40 s), and field-amplified sample injection (10 kV for 65 s). All measurements were conducted for aqueous solutions of standards to minimize the errors linked to the sample preparation step. The methods were submitted to precision assessment at three concentration levels: at the limit of quantification, three-fold and ten-fold of limit of quantification. The results were compared to those from high-performance liquid chromatography as a reference technique. The field-amplified sample injection method was shown to provide greatest sensitivity (quantification limits down to 4 ng/mL for all three tested compounds) but the lowest precision. High-performance liquid chromatography was established as the most reliable technique (coefficient of variation in all intraday experiments was below 1%). It was also shown that with a use of large volume sample injection technique, similar sensitivity as in high-performance liquid chromatography can be easily reached.
|Other language title versions|
|Journal series||Journal of Separation Science, ISSN 1615-9306, (A 30 pkt)|
|Publication size in sheets||0.5|
|Keywords in English||capillary electrophoresis, liquid chromatography, repeatability, sensitivity, stacking|
|Score|| = 30.0, 20-12-2017, ArticleFromJournal|
= 30.0, 20-12-2017, ArticleFromJournal
|Publication indicators||: 2017 = 2.415 (2) - 2017=2.337 (5)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.