Literature DB >> 23079512

Target analyte quantification by isotope dilution LC-MS/MS directly referring to internal standard concentrations--validation for serum cortisol measurement.

Barbara Maier1, Michael Vogeser.   

Abstract

BACKGROUND: Isotope dilution LC-MS/MS methods used in the clinical laboratory typically involve multi-point external calibration in each analytical series. Our aim was to test the hypothesis that determination of target analyte concentrations directly derived from the relation of the target analyte peak area to the peak area of a corresponding stable isotope labelled internal standard compound [direct isotope dilution analysis (DIDA)] may be not inferior to conventional external calibration with respect to accuracy and reproducibility.
METHODS: Quality control samples and human serum pools were analysed in a comparative validation protocol for cortisol as an exemplary analyte by LC-MS/MS. Accuracy and reproducibility were compared between quantification either involving a six-point external calibration function, or a result calculation merely based on peak area ratios of unlabelled and labelled analyte.
RESULTS: Both quantification approaches resulted in similar accuracy and reproducibility.
CONCLUSIONS: For specified analytes, reliable analyte quantification directly derived from the ratio of peak areas of labelled and unlabelled analyte without the need for a time consuming multi-point calibration series is possible. This DIDA approach is of considerable practical importance for the application of LC-MS/MS in the clinical laboratory where short turnaround times often have high priority.

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Year:  2013        PMID: 23079512     DOI: 10.1515/cclm-2012-0276

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  1 in total

Review 1.  Technical and clinical aspects of cortisol as a biochemical marker of chronic stress.

Authors:  Do Yup Lee; Eosu Kim; Man Ho Choi
Journal:  BMB Rep       Date:  2015-04       Impact factor: 4.778

  1 in total

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