AI Insight
Researchers developed and validated a green dispersive liquid-liquid microextraction method coupled with liquid chromatography-tandem mass spectrometry (DLLME-LC-MS/MS) for quantifying sotalol, a beta-blocker medication, in human plasma samples. The method was optimized using central composite design, a statistical approach that systematically evaluates experimental parameters to achieve optimal extraction efficiency while minimizing environmental impact through reduced solvent usage. The validated method demonstrated sufficient sensitivity and reliability for pharmacokinetic studies, enabling accurate measurement of sotalol concentrations in patient blood samples.
Why it matters
This environmentally friendly analytical method provides a more sustainable approach for therapeutic drug monitoring of sotalol in clinical settings, reducing hazardous chemical waste compared to traditional extraction techniques. The optimized methodology can improve patient care by enabling more precise dose adjustments and pharmacokinetic assessments while aligning with green chemistry principles in clinical laboratories.
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