[HTML][HTML] An overview of pre-analytical factors impacting Metabolomics analyses of blood samples
Discrepant sample processing remains a significant challenge within blood metabolomics
research, introducing non-biological variation into the measured metabolome and biasing …
research, introducing non-biological variation into the measured metabolome and biasing …
QComics: Recommendations and Guidelines for Robust, Easily Implementable and Reportable Quality Control of Metabolomics Data
Á González-Domínguez, N Estanyol-Torres… - Analytical …, 2024 - ACS Publications
The implementation of quality control strategies is crucial to ensure the reproducibility,
accuracy, and meaningfulness of metabolomics data. However, this pivotal step is often …
accuracy, and meaningfulness of metabolomics data. However, this pivotal step is often …
Association of Serum Metabolites with Serum Indices and Preanalytical Factors of Biobanked Serum Samples
J Lee, BG Ji, EJ Hong, JP Jeon - Biopreservation and Biobanking, 2024 - liebertpub.com
Background: Serum indices (hemolysis, icterus, and lipemia; HIL) are known to impact
clinical chemistry assay results. This study aimed to investigate the impact of HIL indices on …
clinical chemistry assay results. This study aimed to investigate the impact of HIL indices on …