Improved LC-MS/MS method for the determination of 42 neurologically and metabolically important molecules in urine
Autor: | Ákos Baráth, Magdolna Kósa, Nóra Grecsó, Péter Monostori, Gábor Rácz, Zsolt Galla, Csaba Bereczki |
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Rok vydání: | 2021 |
Předmět: |
Adult
Bioanalysis Analyte Electrospray ionization Clinical Biochemistry Urine Sensitivity and Specificity 030226 pharmacology & pharmacy 01 natural sciences Biochemistry Lower limit Analytical Chemistry 03 medical and health sciences 0302 clinical medicine Tandem Mass Spectrometry Lc ms ms Humans Kynurenine Neurotransmitter Agents Chromatography Chemistry 010401 analytical chemistry Reproducibility of Results Cell Biology General Medicine Middle Aged Mass spectrometric Pterins 0104 chemical sciences Triple quadrupole mass spectrometer Linear Models Biomarkers Chromatography Liquid |
Zdroj: | Journal of Chromatography B. 1179:122846 |
ISSN: | 1570-0232 |
Popis: | Simultaneous determination of kynurenines, neurotransmitters, pterins and steroids linked to various neurological and metabolic diseases have important diagnostic significance for related pathology and drug monitoring. An improved, sensitive and selective ultra-high performance liquid chromatography coupled to electrospray ionization triple quadrupole mass spectrometric (UHPLC-MS/MS) method, based on our earlier publication, has been proposed for the quantitative measurement of 42 metabolites in human urine. The assay covers a larger number of analytes, uses an advanced, Waters Atlantis T3 chromatographic column and similarly meets the guideline of European Medicines Agency (EMA) on bioanalytical method validation. Analytical performance met all the EMA requirements and the assay covered the relevant clinical concentrations. Linear correlation coefficients were all > 0.998. Intra-day and inter-day accuracy and precision were 87−118%, 81−120% and 2–20%, respectively including the lower limit of quantification (LLOQ). The assay is expected to facilitate the diagnosis and allows drug level monitoring from urine. |
Databáze: | OpenAIRE |
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