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Analytical platform for verification and quantitation of target peptides in human serum: application to cathelicidin
Authors:Calderón-Santiago Mónica  Mata-Granados José María  Priego-Capote Feliciano  Quesada-Gómez José Manuel  Luque de Castro María Dolores
Affiliation:aDepartment of Analytical Chemistry, University of Córdoba, E-14071 Córdoba, Spain;bInstitute of Biomedical Research Maimónides (IMIBIC), Reina Sofía Hospital, University of Córdoba, E-14071 Córdoba, Spain;cSanyres I+D+i Department (Grupo Prasa), E-14012 Córdoba, Spain
Abstract:A selective and sensitive, fully automated platform for verification and quantitative determination of target peptides in biofluids is proposed and then validated by development of a method for analysis of cathelicidin in human serum. The method is based on the on-line coupling of solid-phase extraction (SPE) and tandem mass spectrometry with direct infusion. Mass spectrometry analysis was carried out by multiple reaction monitoring using three transitions (one for quantitative analysis and two for qualitative analysis), all them confirmed by in silico fragmentation of the target peptide. Samples were prepared in the SPE workstation on a polymeric divinylbenzene resin by preconcentration, deproteinization, and cleanup, removing salts and interferences after direct injection of human serum. The analytical process required 12 min. The limits of detection and quantitation were 2.5 and 8.25 μg/L, respectively (0.20 and 0.66 pg on column). Repeatability and within-laboratory reproducibility were 2.4% and 2.7%, respectively. A dual-cartridge configuration was used to test recovery of cathelicidin in serum, resulting in 80%. Because quantitative retention in the cartridge was assessed, determination of cathelicidin was validated without using synthetic peptides labeled with stable isotopes. The hyphenated system allows full automation, thereby improving reproducibility and accuracy, as demanded by clinical analysis.
Keywords:Cathelicidin   Verification   Absolute quantitation   Multiple reaction monitoring   Automation   Peptide   Biomarkers
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