Enhancement of precision in the analysis of medicines by capillary electrophoresis using artificial neural networks

Logo poskytovatele

Varování

Publikace nespadá pod Ekonomicko-správní fakultu, ale pod Přírodovědeckou fakultu. Oficiální stránka publikace je na webu muni.cz.
Autoři

LI Hua ZHANG YX POLÁŠKOVÁ Pavla HAVEL Josef

Rok publikování 2002
Druh Článek v odborném periodiku
Časopis / Zdroj ACTA CHIMICA SINICA
Fakulta / Pracoviště MU

Přírodovědecká fakulta

Citace
Obor Analytická chemie, separace
Klíčová slova Enhancement of precision; analysis of medicines; capillary electrophoresis
Popis Possibility of increasing the precision of quantitative determination of memantine by capillary electrophoresis (CE) was studied using artificial neural networks (ANNs). ANNs show their unique merits in the calibration of non-linear models. In the analysis of memantine by CE, there is no obvious linear relationships between the concentrations of the memantine and its peak areas or heights, or even their ratios to those of the corresponding internal standards, respectively. The greatest advantage of ANNs is that no prior knowledge of migration behavior and separation system is needed. The inputs of the ANNs were the peak areas and heights of memantine, and the outputs were the concentrations of the memantine. The 2:2: 1 ANNs gave excellent results. The ANNs approach can also he used to improve the precision of determination of other kinds of analytes for its general validity.
Související projekty:

Používáte starou verzi internetového prohlížeče. Doporučujeme aktualizovat Váš prohlížeč na nejnovější verzi.