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Optimization of liquid chromatographic separation of benzodiazepines
Autoři: Warzechová Petra | Veronesi Mattia | Česla Petr
Rok: 2019
Druh publikace: ostatní - článek ve sborníku
Název zdroje: YISAC 2019 : book of abstracts
Název nakladatele: Univerzita Pardubice
Místo vydání: Pardubice
Strana od-do: nestránkováno
Tituly:
Jazyk Název Abstrakt Klíčová slova
eng Optimization of liquid chromatographic separation of benzodiazepines Benzodiazepines are well known group of chemical substances, which are the most popular psychotropic pharmaceuticals commonly used for therapeutics, treatment and care for lot of psychic diseases. Benzodiazepines are used for treating of anxiety, insomnia, muscle relaxation, panic attacks or for depression [1]. Function of benzodiazepines is connected with neurotransmitters (dopamine, serotonine and gamma-aminobutyric acid), which are commonly presented in human brain. These neurotransmitters are responsible for communication between brain cells and can have either tranquilizing or excitatory effects. Benzodiazepines enhance the effect of the GABA, which add to the calming effect already produced by the human body and keep the brain in a more tranquilized state. In our research, we have optimized isocratic separation of selected benzodiazepines using window-diagram approach. We used six standards of benzodiazepines (phenazepam, pyrazolam, flubromazepam, meclonazepam, diazepam and diclazepam). These standards were separated with reversed-phase chromatography with UV detection and the identity of the compounds was verified using mass spectrometry. For separation, several stationary phases were tested including C18 phases (Luna Omega and Ascentis Express columns), phenyl-hexyl phase and biphenyl phase. The composition of mobile phase was optimized using acetonitrile and methanol in mixture with water containing additives (acetic acid and phosphate buffer). Optimal conditions obtained using window-diagram approach were directly applicable as initial composition of mobile phase for gradient elution analyses.

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