Eliminate analytical variability with isotope-labelled internal standards engineered for quantitative metabolomics. Improve platform quality control, normalize sample-to-sample variation, verify metabolite identities, and generate reproducible biological insights with confidence.
Even the most advanced LC-MS systems are affected by technical variability. Without proper standards and corrections for variances, true biological signals can be masked.
Competing ions reduce signal intensity and measurement accuracy.
Instrument and day-to-day variation impacts analytical data.
Performance gradually changes over time affecting reliability.
Complex samples introduce unpredictable analytical bias.
Analytical noise can easily be mistaken for biological changes.
Results become difficult to reproduce and trust.
Follow a scientifically validated metabolomics workflow designed to correct for analytical variability and maximize confidence. From sample preparation and LC-MS analysis to suppression-correction, normalization, metabolite identification, and biological interpretation, every step is engineered to deliver accurate, reproducible, and actionable results.
Prepare biological samples using validated protocols and introduce IROA internal standards at the earliest stage.
Acquire high-quality metabolomics data using high-resolution liquid chromatography–mass spectrometry.
Correct analytical variation using isotope-labelled internal standards to ensure consistent quantitative measurements.
Identify metabolites confidently using characteristic isotope peak patterns and curated reference libraries.
Generate accurate and reproducible metabolite abundances for robust statistical comparison.
Transform reliable quantitative data into meaningful biological discoveries and confident scientific conclusions.
IROA Technologies combines isotope-labelled standards, intelligent algorithms for the correct of variances, normalization, and rigorous quality control to deliver accurate metabolite identification and reproducible quantitative results across every experiment.
Continuously monitor MS source, chromatography, and instrument performance every day.
Correct for sample-to-sample variation and batch effects while preserving true biological signals.
Unique 5% and 95% U-¹³C labelling patterns confirm true metabolite identities.
Reproducible quantification across batches, platforms, instruments, and laboratories.
Designed to work together, these two essential solutions provide a complete foundation for quantitative metabolomics. From correcting analytical variability to delivering precise metabolite quantification, every step is engineered for confidence, consistency, and reproducibility.
Complete QC workflow for normalization and reproducible metabolomics analysis.
Broad-coverage isotope-labelled standards for reliable metabolite quantification.
Find answers to the most common questions about isotope-labelled internal standards, quantitative metabolomics, workflow compatibility, and how IROA technologies improve analytical accuracy, normalization, and reproducibility.
Isotope-labelled internal standards are compounds that closely resemble native metabolites but contain stable isotopes such as U-¹³C. They are added to samples before analysis to compensate for analytical variability and improve quantitative accuracy throughout the LC-MS workflow.
Internal standards reduce variability introduced during sample preparation, chromatography, ionization, and instrument performance. They enable more accurate metabolite quantification, improve reproducibility, and increase confidence in biological interpretation.
IROA Internal Standards use scientifically validated isotope-labelling strategies, including unique 5% and 95% U-¹³C-labelled standards, allowing researchers to distinguish biological signals from analytical variation while supporting confident metabolite identification and normalization.
IROA Internal Standards are designed for LC-MS metabolomics workflows and are compatible with most high-resolution mass spectrometry platforms used for metabolite identification and quantitative analysis.
Yes. By correcting for technical variability throughout the analytical workflow, IROA Internal Standards help generate highly reproducible metabolomics data across different runs, instruments, operators, and laboratories.
The characteristic isotope-labelled peak patterns produced by IROA standards help distinguish true metabolites from background noise, artifacts, and contaminants, resulting in more confident metabolite identification.
Yes. While they provide accurate quantitative normalization, they also support untargeted metabolomics by improving metabolite detection, quality control, feature validation, and downstream data interpretation.
For optimal performance, internal standards should be introduced during the earliest stages of sample preparation. This allows them to account for variability throughout extraction, processing, and LC-MS analysis.
IROA Internal Standards are widely used in biomarker discovery, clinical research, pharmaceutical development, toxicology, nutrition, microbiome research, plant metabolomics, and systems biology studies requiring reliable quantitative metabolomics.
Yes. The IROA Internal Standard Kit and the TruQuant Workflow Kit are designed to work together as a complete workflow, providing standardized sample preparation, normalization, quality control, and reproducible quantitative metabolomics from sample to biological insight.