LacaScore: a novel plasma sample quality control tool based on ascorbic acid and lactic acid levels

Trezzi, Jean-Pierre; Bulla, Alexandre; Bellora, Camille; Rose, Michael; Lescuyer, Pierre; Kiehntopf, Michael; Hiller, Karsten; Betsou, Fay

doi:10.1007/s11306-016-1038-1

Scientific article

Open access

English

LacaScore: a novel plasma sample quality control tool based on ascorbic acid and lactic acid levels

ContributorsTrezzi, Jean-Pierre; Bulla, Alexandre; Bellora, Camille; Rose, Michael; Lescuyer, Pierre

; Kiehntopf, Michael; Hiller, Karsten; Betsou, Fay

Published inMetabolomics, vol. 12, no. 6, p. 1-11

Publication date2016

Abstract

Metabolome analysis is complicated by the continuous dynamic changes of metabolites in vivo and ex vivo. One of the main challenges in metabolomics is the robustness and reproducibility of results, partially driven by pre-analytical variations.

Keywords

GC/MS
Metabolomics
Plasma processing
Pre-analytics
Biobank
Quality control

Affiliation

Faculté de médecine / Section de médecine fondamentale / Département de biologie structurale et bioinformatique

Research group

Chimie et protéomique clinique (270)

Citation (ISO format)

TREZZI, Jean-Pierre et al. LacaScore: a novel plasma sample quality control tool based on ascorbic acid and lactic acid levels. In: Metabolomics, 2016, vol. 12, n° 6, p. 1–11. doi: 10.1007/s11306-016-1038-1

Article (Published version)

Identifiers

PID : unige:84650
DOI : 10.1007/s11306-016-1038-1
PMID : 27199628

Commercial URLhttp://link.springer.com/10.1007/s11306-016-1038-1

ISSN of the journal1573-3882

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Creation04/28/2016 6:21:00 PM

First validation04/28/2016 6:21:00 PM

Update time03/15/2023 12:28:16 AM

Status update03/15/2023 12:28:15 AM

Last indexation08/30/2023 8:32:14 AM

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LacaScore: a novel plasma sample quality control tool based on ascorbic acid and lactic acid levels

Metabolome analysis is complicated by the continuous dynamic changes of metabolites in vivo and ex vivo. One of the main challenges in metabolomics is the robustness and reproducibility of results, partially driven by pre-analytical variations.

Technical informations