1. IROA-LTRS
Long-Term Reference Standard
- Paired 1:1 mixture of labeled U-5% and U-13C metabolites
- Analyzed every 10 samples for QC
- Builds triply redundant dictionary
Made from unique fully-labeled S. cerevisiae yeast extract containing 100s of polar primary metabolites and spanning a broad range of metabolic classes.
Unique metabolites in yeast extract
Economical solution for high-throughput labs
Cost-effective metabolomics QC workflow
Simple, robust and reproducible process
Compatible with major LC-MS platforms
Traditional metabolomics workflows suffer from ion suppression, retention time drift, and poor sample normalization.
TruQuant introduces a dual-standard approach using:
For system QC and dictionary generation
For accurate quantitation and normalization
Together, they deliver accurate, reproducible, and comparable metabolomics data across experiments, instruments, and laboratories.
Run experimental samples with IROA-IS. Inject IROA-LTRS every 10 samples as QC Standard to account for fluctuations in mass and retention time drift.
ClusterFinder software generates a "dictionary" of RT, m/z, formula and physical characteristics from the analysis of IROA-LTRS.
Dictionary and IROA-IS enable compound identification, suppression correction, normalization, and improved metabolomics data accuracy.
Daily instrument QA/QC
Economical $200 for 90 samples
No false data; removal of artifactual peaks
Accurate compound formula ID for MS alone
Corrects for ionization losses for better quantitation
Normalizes samples to a universal standard
Yeast metabolites characterized by multiple LC-MS methods
ClusterFinder builds libraries, IDs and quantitates
Mass-spec vendor agnostic support
Supports biomarker discovery
TruQuant delivers reliable identification, ion suppression correction and normalization to elevate your metabolomics research.