MS Standards

Mass Spectrometry Metabolite Library of Standards (MSMLS) supplied with software tool Discovery.

600 high quality metabolite standards, convenient 96 well format, 5 µg per compound

Discovery software tool builds authenic standard libraries by supporting the extraction, manipulation, and storage of the data generated when using MSMLS.

Libraries can be used for sample analysis.

New! Large Scale Metabolite Library of Standards (LSMLS)

504 high quality metabolite standards in convenient 96 well format, 1 mg per compound, plus Discovery software tool


TruQuant IQQ: Enabling Clinical Metabolomics
How reproducible is your data? Most metabolomics data can realistically only be compared with same-day-run samples, enough for small research projects but not suitable for large clinically-relevant metabolomics projects.  Clinically relevant metabolomics requires accurate identification, completely reproducible quantitation, and performance criteria for instrumentation.  IROA TruQuant IQQ provides complete cross-platform quantitative reproducibility, with validated compound identification, and continuous instrument QA/QC. 
There are multiple compelling arguments to the metabolomics approach of measuring hundreds of phenotypic biochemicals in a single assay or clinical sample, but until now these measurements were not sufficiently reproducible or quantitative.  If it were possible, comprehensive quantifiable metabolic readouts would provide the ability to measure biological and pathological processes, and develop biomarkers to diagnose human disease states, and monitor disease progression, drug efficacy and toxicity.  Today only narrow sets of biochemical clinical analytes can be measured on a routine basis; if quantitative data is required on several compound classes, multiple analyses need to be run.  
Clinical diagnostic measurements determine the actual concentration of analytes based on a calibration curve for each compound.  On the other hand, untargeted mass spectrometry-based clinical metabolomics produce relative measurements of hundreds of chemically diverse molecules.  However, these untargeted measurements are subject to highly variable ionization efficiencies, variability in co-elution with other compounds, and a lack of standards, creating significant quality control, quantitation and normalization challenges.  Until these challenges are sufficiently addressed, clinical metabolomics will continue to lag behind other mainstream diagnostic tools such as genetic testing.  
Cross platform normalization of measurements utilizing the same or different analytical methodologies can be overcome using common Long-Term sets of complex internal standards.  Such standards if specially created will not only provide the means for data standardization but also enhancements in data quality through the removal of background/noise, quality assurance, compound identification and quantitation.

The IROA TruQuant IQQ workflow provides a carefully formulated Long-Term Reference Standard (IROA-LTRS) containing over 500 compounds, based on 95% and 5% C13.  The compounds in the LTRS are computationally easy to find, provide completely verified compound identify, and serve as a daily measure of instrumentation performance (complete QA/QC).  The matching IROA Internal Standard (IROA-IS) has the same chemical profile as the IROA-LTRS but acts as an internal standard to corresponding natural abundance isotopomers in any sample.  Therefore, the IROA-LTRS provides validated compound identity (I), and quality assurance (Q), the IROA-IS provides accurate calibrated Quantitation (Q) for hundreds of compounds in a single metabolomic-style measurement.  For this reason, we have named this workflow IROA TruQuant IQQ.