ArticleDiagnostics (Basel, Switzerland)2022
A Real-Life Reproducibility Assessment for NMR Metabolomics.
Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- Integrated Serum and Urinary Metabolomics Reveal Distinct Signatures of Kidney Graft Function-A Single-Center Cohort Study.Biomedicines · 2026Article
- Securing the Future of NMR Metabolomics Reproducibility: A Call for Standardized Reporting.Analytical chemistry · 2025Review
- Article
- Reciprocal influence of per- and polyfluoroalkyl substances (PFAS) and soil organic matter on their fate in soils.Environmental science and pollution research international · 2025Article
- Quantitative Nuclear Magnetic Resonance for Small Biological Molecules in Complex Mixtures: Practical Guidelines and Key Considerations for Non-Specialists.Molecules (Basel, Switzerland) · 2025Review
- Plasma metabolite profiles related to dietary patterns: exploring the association with colorectal tumor risk.European journal of nutrition · 2024Article
- Stable Isotope Tracing Analysis in Cancer Research: Advancements and Challenges in Identifying Dysregulated Cancer Metabolism and Treatment Strategies.Metabolites · 2024Review
- NMR Precision Metabolomics: Dynamic Peak Sum Thresholding and Navigators for Highly Standardized and Reproducible Metabolite Profiling of Clinical Urine Samples.Metabolites · 2024Article
- NMR Spectroscopy in Diagnosis and Monitoring of Methylmalonic and Propionic Acidemias.Biomolecules · 2024Review
- Inter-laboratory comparison of plant volatile analyses in the light of intra-specific chemodiversity.Metabolomics : Official journal of the Metabolomic Society · 2023Article
- Lipoprofiling Assessed by NMR Spectroscopy in Patients with Acute Coronary Syndromes: Is There a Need for Fasting Prior to Sampling?Diagnostics (Basel, Switzerland) · 2022Article
- Saponification Value of Fats and Oils as Determined fromFoods (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
Nuclear magnetic resonance (NMR) metabolomics is currently popular enough to attract both specialized and non-specialized NMR groups involving both analytical trained personnel and newcomers, including undergraduate students. Recent interlaboratory studies performed by established NMR metabolomics groups demonstrated high reproducibility of the state-of-the-art NMR equipment and SOPs. There is, however, no assessment of NMR reproducibility when mixing both analytical experts and newcomers. An interlaboratory assessment of NMR quantitation reproducibility was performed using two NMR instruments belonging to different laboratories and involving several operators with different backgrounds and metabolomics expertise for the purpose of assessing the limiting factors for data reproducibility in a multipurpose NMR environment. The variability induced by the operator, automatic pipettes, NMR tubes and NMR instruments was evaluated in order to assess the limiting factors for quantitation reproducibility. The results estimated the expected reproducibility data in a real-life multipurpose NMR laboratory to a maximum 4% variability, demonstrating that the current NMR equipment and SOPs may compensate some of the operator-induced variability.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.