期刊
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS
卷 217, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.jpba.2022.114845
关键词
Hypertension; Hypercholesterolemia; Cardiovascular drugs; Liquid chromatography; Mass spectrometry; Vortex-assisted liquid-liquid microextraction
资金
- Pro-Reitoria de Recursos Humanos Federal University of Minas Gerais (UFMG)
- Coordination for the Improvement of Higher Education Personnel (CAPES, Brazil)
- National Council for Scientific and Technological Development (CNPq, Brazil)
- Minas Gerais Research Funding Foundation (FAPEMIG, Brazil)
This study developed a modern method for the simultaneous determination of eight cardiovascular drugs in human plasma. The method is simple, fast, environmentally friendly, and has high accuracy and reliability.
Hypertension and dyslipidemias are among the main risk factors for the development of cardiovascular diseases, which are responsible for the death of approximately 17 million people each year. There are several drugs available for the treatment of these diseases. Therefore, methods for the simultaneous analysis of several of these drugs are useful in a wide range of situations. In this context, this study aimed to develop a modern method for the simultaneous determination of eight cardiovascular drugs in human plasma. A vortex-assisted liquid-liquid microextraction (VALLME) procedure, combined with liquid chromatography-tandem mass spectrometry (LC-MS/MS) was developed. Mass spectrometry conditions, chromatographic separation, and sample preparation were optimized. For VALLME optimization, pH, sodium chloride concentration, volume of buffer solution, extraction solvent (type and volume), and vortex stirring time were evaluated. The method proved to be simple, fast, and environmentally friendly since low volumes of organic solvent were employed. Furthermore, the VALLME procedure required small sample volume, which is desirable when large volumes are scarce. Suitable recoveries and lower limits of quantification were achieved with a chromatographic run of only 8 min. The method was validated, showing to be selective, precise, and accurate. Furthermore, the analytical curves were well fitted to the selected models and the matrix effect did not affect method reliability. The developed method was successfully applied for the analysis of plasma samples obtained from volunteers attending a hospital service.
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