Journal article Open access Published 2023

Rapid and efficient LC-MS/MS diagnosis of inherited metabolic disorders: a semi-automated workflow for analysis of organic acids, acylglycines, and acylcarnitines in urine

Barbora Piskláková, Jaroslava Friedecká, Eliška Ivanovová, E. Hlidkova, V. Bekárek, M. Pridavok, Aleš Kvasnička, Tomáš Adam, David Friedecký

Clinical Chemistry and Laboratory Medicine (2023)

Download PDF View on PubMed Cite

Cite this publication

PISKLÁKOVÁ, B., J. FRIEDECKÁ, E. IVANOVOVÁ, E. HLIDKOVA, V. BEKÁREK, M. PRIDAVOK, A. KVASNIČKA, T. ADAM, D. FRIEDECKÝ: Rapid and efficient LC-MS/MS diagnosis of inherited metabolic disorders: a semi-automated workflow for analysis of organic acids, acylglycines, and acylcarnitines in urine. Clinical Chemistry and Laboratory Medicine. 2023, ISSN: 1434-6621, PMID: 37207286,  PDF.

Details

ISSN
1434-6621

Authors from EATRIS

WHERE TO FIND US

Hněvotínská 1333/5
779 00 Olomouc
Czech Republic

+420 585632111
+420 585632180
recepce.umtm@upol.cz
info@imtm.cz

GPS: 49° 35´ 10.1869512" N, 17° 14´ 6.292305" E

ABOUT EATRIS

The mission of the Czech EATRIS network (EATRIS-CZ) is to further develop a dynamic and collaborative environment that supports chemical, biomedical, and clinical research, and speed up its transfer into clinical practice. It connects and facilitates collaboration of top national research institutions and hospitals in the research partnership. LEARN MORE ABOUT EATRIS

HELPDESK PORTAL
© 2026 Institute of Molecular and Translational Medicine

This website uses cookies

We use necessary cookies to make the website work. With your consent we also use analytics cookies and show embedded content from other services that may set their own cookies. You can change your choice at any time under "Cookie settings" at the bottom of every page. Privacy policy

Cookie settings

Choose which cookies we may use. Your choice is stored for 6 months. Privacy policy

  • Required for the website to work – e.g. your session when logged in, security and remembering this choice. They cannot be switched off.

  • Help us understand how visitors use the website so we can improve it (Google Analytics, anonymised IP address).

  • Show content embedded from YouTube, X (Twitter), Facebook, Google Maps and Czech Radio. These services may set their own cookies.