Quantitative of progesterone using isotope dilution-matrix-assisted laser desorption ionization-time of flight mass spectrometry
| Autor: | Ying-Fong Huang, Yi-Ming Arthur Chen, Ming Hui Yang, Yu-Chang Tyan, Hsin Yi Wu, Han Ping You |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0303 health sciences
Chromatography Chemistry Clinical Biochemistry Extraction (chemistry) Matrix assisted laser desorption ionization time of flight Serum progesterone Medicine and Dentistry 010501 environmental sciences Isotope dilution Mass spectrometry Serum samples 01 natural sciences MALDI-TOF/MS 03 medical and health sciences Medical Laboratory Technology Matrix-assisted laser desorption/ionization lcsh:Q lcsh:Science Progesterone 030304 developmental biology 0105 earth and related environmental sciences |
| Zdroj: | MethodsX, Vol 7, Iss, Pp 100812-(2020) MethodsX |
| ISSN: | 2215-0161 |
| Popis: | A quantification assay based on isotope dilution mass spectrometry to determine the concentration of progesterone in human serum was reported. Incorporated with 13C3-progesterone, serum samples were subjected to progesterone extraction and clean-up by C4 solid-phase-extraction columns and hexane-based liquid/liquid extraction, respectively. The cleaned-up serum samples were then subjected to MALDI-TOF mass spectrometry for the quantification of progesterone. In the study, the recovered progesterone concentration determined by the assay showed good robustness and constancy in comparison to conventional radioimmunologic assay. We concluded that the 13C3-progesterone-based quantification assay is a robust method for the measurement of serum progesterone. Advantages of this technique includes: • This study describes a MALDI-TOF/MS method for the determination of serum progesterone. • The technique is simple and easy to apply on MALDI-TOF/MS for serum progesterone analysis. • The correlation coefficient between MALDI-TOF MS and RIA was 0.981 for serum progesterone. Graphical abstract Image, graphical abstract |
| Databáze: | OpenAIRE |
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