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

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 entities

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

Research groups

Auto-immunité, inflammation et athérosclérose (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

Additional URL for this publicationhttp://link.springer.com/10.1007/s11306-016-1038-1

Journal ISSN1573-3882

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Creation04/28/2016 6:21:00 PM

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

Update time01/23/2025 11:33:19 AM

Status update01/23/2025 11:33:19 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