Automated GC-MS analysis of free amino acids in biological fluids

Kaspar, Hannelore and Dettmer, Katja and Gronwald, Wolfram and Oefner, Peter J. (2008) Automated GC-MS analysis of free amino acids in biological fluids. JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES, 870 (2). pp. 222-232. ISSN 1570-0232,

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Abstract

A gas chromatography-mass spectrometry (GC-MS) method was developed for the quantitative analysis of free amino acids as their propyl chloroformate derivatives in biological fluids. Derivatization with propyl chloroformate is carried out directly in the biological samples without prior protein precipitation or solid-phase extraction of the amino acids, thereby allowing automation of the entire procedure, including addition of reagents, extraction and injection into the GC-MS. The total analysis time was 30 min and 30 amino acids could be reliably quantified using 19 stable isotope-labeled amino acids as internal standards. Limits of detection (LOD) and lower limits of quantification (LLOQ) were in the range of 0.03-12 mu M and 0.3-30 mu M, respectively. The method was validated using a certified amino acid standard and reference plasma, and its applicability to different biological fluids was shown. Intra-day precision for the analysis of human urine, blood plasma, and cell culture medium was 2.0-8.8%, 0.9-8.3%, and 2.0-14.3%, respectively, while the inter-day precision for human urine was 1.5-14.1%. (C) 2008 Elsevier B.V. All rights reserved.

Item Type: Article
Uncontrolled Keywords: CHROMATOGRAPHY-MASS SPECTROMETRY; METHYL CHLOROFORMATE DERIVATIVES; ION-EXCHANGE CHROMATOGRAPHY; GAS-CHROMATOGRAPHY; CHEMICAL DERIVATIZATION; PROPIONIC ACIDEMIA; PERFORMANCE; METABOLISM; DIAGNOSIS; SAMPLES; metabolomics; amino acids; gas chromatography-mass spectrometry; urine; plasma; alkyl chloroformate
Subjects: 600 Technology > 610 Medical sciences Medicine
Divisions: Medicine > Institut für Funktionelle Genomik > Lehrstuhl für Funktionelle Genomik (Prof. Oefner)
Depositing User: Dr. Gernot Deinzer
Date Deposited: 28 Oct 2020 08:48
Last Modified: 28 Oct 2020 09:09
URI: https://pred.uni-regensburg.de/id/eprint/30617

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