Summaries of peer-reviewed studies that evaluate the IROA TruQuant workflow, covering ion suppression correction, batch-to-batch error correction and reproducibility across laboratories. Each summary links to the full paper.
Ion suppression correction and normalization improve the reliability of metabolomics measurements by addressing different sources of variability. A 2025 Nature Communications study evaluated the IROA TruQuant workflow across multiple chromatographic methods, ionization conditions, and biological matrices.
Read the summaryEffective batch correction should improve consistency while retaining the biological differences the experiment was designed to measure. A 2026 Analytical Chemistry study evaluated suppression correction followed by Dual MSTUS normalization across six analytical batches with intentionally introduced batch effects.
Read the summaryAn eight-laboratory US and UK round-robin study found that metabolomic profiles could differentiate known heterogeneous sample mixtures across laboratories using their own LC-MS protocols. The study also identified factors that affect direct comparison of metabolite measurements between laboratories.
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