ArticleScientific reports2019
Monitoring of system conditioning after blank injections in untargeted UPLC-MS metabolomic analysis.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Differential metabolomic effects of progestagen-based estrus synchronisation in South African Dohne Merino ewes.Tropical animal health and production · 2026Article
- Eicosanoid-immunometabotypes reveal genotypic links to cervicovaginal pH in progestagen synchronised South African Dohne Merino ewes.Frontiers in veterinary science · 2026Article
- Distinct protein and metabolic profiles in patients with advanced clear-cell renal cell carcinoma treated with sunitinib: a study of the Spanish oncology genitourinary group.Frontiers in oncology · 2026Article
- Effect of N-Carbamylglutamate Supplementation in Late Pregnancy on Nutrient-Restricted Twin-Bearing Ewes on the Pre-Lambing Maternal Metabolome, Colostrum Quality and Lamb Birth Weight.Animals : an open access journal from MDPI · 2025Article
- Statistical analysis of feature-based molecular networking results from non-targeted metabolomics data.Nature protocols · 2025Article
- QCAnalytical chemistry · 2024Article
- Metabolomics 2022 workshop report: state of QA/QC best practices in LC-MS-based untargeted metabolomics, informed through mQACC community engagement initiatives.Metabolomics : Official journal of the Metabolomic Society · 2023Article
- Localized cardiac small molecule trajectories and persistent chemical sequelae in experimental Chagas disease.Nature communications · 2023Article
- Simultaneously discovering the fate and biochemical effects of pharmaceuticals through untargeted metabolomics.Nature communications · 2023Article
- Metabolomics-based strategy to assess drug hepatotoxicity and uncover the mechanisms of hepatotoxicity involved.Archives of toxicology · 2023Article
- Metabolomic Diversity of Human Milk Cells over the Course of Lactation-A Preliminary Study.Nutrients · 2023Article
- Data Processing and Analysis in Mass Spectrometry-Based Metabolomics.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Rifampicin-Mediated Metabolic Changes inMetabolites · 2022Article
- Metabolite Dysregulation by Pranlukast inMolecules (Basel, Switzerland) · 2022Article
- Noninvasive monitoring of evolving urinary metabolic patterns in neonatal encephalopathy.Pediatric research · 2022Article
- Comprehensive Profiling of Paper Mulberry (International journal of molecular sciences · 2022Article
- Metabolomics of small extracellular vesicles derived from isocitrate dehydrogenase 1-mutant HCT116 cells collected by semi-automated size exclusion chromatography.Frontiers in molecular biosciences · 2022Article
- Serum metabolomics of end-stage renal disease patients with depression: potential biomarkers for diagnosis.Renal failure · 2021Article
- Food Phenotyping: Recording and Processing of Non-Targeted Liquid Chromatography Mass Spectrometry Data for Verifying Food Authenticity.Molecules (Basel, Switzerland) · 2020Review
- Comparing Targeted vs. Untargeted MSMetabolites · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ultra-performance liquid chromatography - mass spectrometry (UPLC-MS) is widely used for untargeted metabolomics in biomedical research. To optimize the quality and precision of UPLC-MS metabolomic analysis, evaluation of blank samples for the elimination of background features is required. Although blanks are usually run either at the beginning or at the end of a sequence of samples, a systematic analysis of their effect of the instrument performance has not been properly documented. Using the analysis of two common bio-fluids (plasma and urine), we describe how the injection of blank samples within a sequence of samples may affect both the chromatographic and MS detection performance depending on several factors, including the sample matrix and the physicochemical properties of the metabolites of interest. The analysis of blanks and post-blank conditioning samples using t-tests, PCA and guided-PCA provides useful information for the elimination of background UPLC-MS features, the identification of column carry over and the selection of the number of samples required to achieve a stable performance.
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