New Products!

We are pleased to introduce a couple of new products that we hope you find as exciting as we do.

Mass Spectrometry Metabolite Library of Standards (MSMLSTM) together with MSMLSDiscoveryTM

Over 600 high quality primary metabolite standards provided in convenient 96 well format. The library of standards are most commonly used to provide retention times and spectra for key metabolic compounds, help optimize mass spectrometry analytical protocols, and qualify and quantify mass spectrometry sensitivity and limit of detection.  MSMLSDiscovery is a software tool designed to streamline and simplify the tedious process of building authentic standard libraries for mass spectrometry and supports the extraction, manipulation, and stoarge of the date generated when using MSMLS.

IROA Biochemical Quantitation Kit Catalog #300-250 (for Mammalian cells)

Like SILAC, IROA utilizes full metabolic labeling to distinguish between two cell populations but uses both 5% 13C (experimental samples) and 95% 13C (control samples) to remove artifacts/noise and calculate carbon number to enable metabolite identification.


News & Events

We hope you can join IROA Technologies and Chris Beecher for the workshop on Metabolic Modeling at the 4th International Conference and Exhibition on Metabolomics and Systems Biology, April 27-29, 2015 in Philadelphia

In addition to promising a program full of research topics such as metabolomics and metabolic cancer research, this international meeting will cover sessions on proteomics, genomics, and NMR and Mass Spectrometric analytical and isotopic techniques including new advanced technologies.


Generating Accurate Metabolomics Data using the IROA Protocol  

November 6th   2 PM EST

This tutorial demonstrated the IROA (Isotopic Ratio Outlier Analysis) protocol. 

Step 1: 5% and 95% 13C-labeled cell culture media achieves full metabolic labeling of experimental and control samples, respectively:  a) Internal Standards are generated for every metabolite measured; b) two or more cell populations are readily distinguished; and 3) artifacts and noise are readily distinguished from biological compounds.  Step 2: ClusterFinder™ software performs accurate biochemical quantitation: a) characterizes peaks (artifacts, control, experimental); b) removes artifacts and noise; c) calculates carbon number and MF, d) quantitates control/experimental ratios; and e) normalizes datasets.  Step 3: IROA's Portal tools execute data interpretation and statistical analysis.