How high-resolution techniques enable reliable steroid identification and quantification.


Journal

The Journal of steroid biochemistry and molecular biology
ISSN: 1879-1220
Titre abrégé: J Steroid Biochem Mol Biol
Pays: England
ID NLM: 9015483

Informations de publication

Date de publication:
02 2019
Historique:
pubmed: 1 10 2018
medline: 22 5 2019
entrez: 1 10 2018
Statut: ppublish

Résumé

Due to possible matrix interferences and artefact generation during sample preparation, careful method validation is required for quantitative bioanalytical methods, especially for analytes that are only present in low concentrations. Using the identification and quantification of progesterone metabolites in the urine of newborns as an example, we show how modern high-resolution instruments can be used to verify analyte assignment and avoid pitfalls commonly encountered by the use of low-resolution instruments.

Identifiants

pubmed: 30268410
pii: S0960-0760(18)30594-6
doi: 10.1016/j.jsbmb.2018.09.018
pii:
doi:

Substances chimiques

Steroids 0
Progesterone 4G7DS2Q64Y

Types de publication

Journal Article Research Support, Non-U.S. Gov't Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

74-78

Informations de copyright

Copyright © 2018 Elsevier Ltd. All rights reserved.

Auteurs

Andrea Bileck (A)

Department of Nephrology and Hypertension and Department of BioMedical Research, Inselspital, Bern University Hospital, University of Bern, Switzerland.

Christa E Fluck (CE)

Pediatric Endocrinology, Diabetology and Metabolism, Department of Pediatrics and Department of BioMedical Research, Inselspital, Bern University Hospital, University of Bern, Switzerland.

Nasser Dhayat (N)

Department of Nephrology and Hypertension and Department of BioMedical Research, Inselspital, Bern University Hospital, University of Bern, Switzerland.

Michael Groessl (M)

Department of Nephrology and Hypertension and Department of BioMedical Research, Inselspital, Bern University Hospital, University of Bern, Switzerland. Electronic address: michael.groessl@dbmr.unibe.ch.

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Classifications MeSH