TruQuant Yeast Extract Semi-targeted QC Workflow Kit

The Workflow is a high-quality quantitation system that utilizes two (2) complex Internal Standards to make accurate measurements of several hundred metabolites simultaneously.
- Semi-targeted, LC-MS-based analysis Workflow
- Ion suppression correction and “Dual MSTUS” sample normalization
- Accurate metabolite ID and quantitation
- Applicable to numerous sample matrices
- Daily method and instrument QC
- Biomarker discovery
Materials
Made from unique fully-labeled S. Cerevisiae Yeast Extract containing 100s of polar primary metabolites and spanning a broad range of metabolic classes.
- IROA LONG-TERM REFERENCE STANDARD – IROA-LTRS (paired 1:1 mixture of labeled U-5% and – 95% U-13C metabolites): The LTRS is analyzed every 10 samples for QC and used to build a triply redundant dictionary (library) of RT, m/z and physical characteristics using ClusterFinder software.
- IROA INTERNAL STANDARD – IROA-IS (labeled 95% U-13C metabolites): – spike into experimental samples and use as a yardstick in which to QUANTIFY all biochemicals in the sample relative to their counterparts in the IROA-LTRS. Even if analyzed on a different chromatographic system, results can be equated using dictionary because of the IROA-IS. Experimental compounds may have different RTs but will exhibit the same mass and physical characteristics.
- CLUSTERFINDER SOFTWARE
- TruQuant USER MANUAL
TruQuant Yeast Extract Semi-targeted QC Workflow 3 step process
- LC-MS analysis of experimental samples with IROA-IS. Inject IROA-LTRS periodically i.e. 10 sample intervals, as QC Standard to account for fluctuations in mass and retention time drift.
- Generate “dictionary” of RT, m/z, formula and physical characteristics from the analysis of IROA-LTRS using ClusterFinder software.
- ClusterFinder software and dictionary identifies/quantitates, suppression corrects and normalizes compounds in experimental samples.
Summary of Benefits of the Yeast Extract Semi-targeted Workflow
- Daily instrument QA/QC.
- Economical – $200 for 90 samples
- No false data; removal of artifactual peaks.
- Accurate compound formula ID for MS alone; complete ID with addition of SWATH, or IM.
- Corrects for all source ionization losses for significantly better quantitation.
- Normalizes samples to a universal standard for complete comparability.
- Yeast metabolites have been characterized by several LC-MS methods and incorporated into ClusterFinder software.
- ClusterFinder software solution builds libraries, IDs/quantitates compounds, corrects for ion-suppression and normalizes data.
- Mass-spec vendor agnostic; specific extensions for inclusion of Sciex SWATH, and Agilent IM.
Helpful resources
ROUTINELY IDENTIFIED COMPOUNDS IN INTERNAL STANDARD
POSTER – Correction of Ion Suppression and Normalization for Improved Quantitative Rigor and Reproducibility using IROA
WHITEPAPER – Integration of Standards for Ion Suppression Correction and QC in an Untargeted Metabolomics Workflow
How to set up and run a C13-labeled Yeast Extract “TruQuant” Calibration Experiment
