NMR analysis you can trust

Chenomx specializes in mixture analysis for applications in life sciences such as metabolomics, food, and cell culture research. Chenomx is known as the ‘Gold Standard’ for reliable, routine, and quantitative mixture analysis of samples using NMR. Software Licenses enable scientists to perform the work themselves or Services are available to outsource the analysis steps.

Software Licensing Custom Services
NMR analysis you can trust

"We quantified metabolites by computer-assisted manual fitting with Chenomx NMR Suite 7.0 (Chenomx, Edmonton, Canada), in order to generate concentration data to compare against, as we regard this as the closest current equivalent to a gold standard for real world samples."

Manuel Liebeke, Jie Hao, Timothy M. D. Ebbels, and Jacob G. Bundy
Manuel Liebeke, Jie Hao, Timothy M. D. Ebbels, and Jacob G. Bundy Imperial College London, From Analytical Chemistry 2013



Chenomx Inc

Why Chenomx?

Researchers who use NMR spectroscopy for their metabolomics applications can analyze their spectral data more effectively and publish their results more quickly with the help of Chenomx NMR Suite software. Used by hundreds of research scientists world-wide, the software works together with comprehensive libraries of metabolite spectral data to both identify and measure the concentration of the compounds that are visible in the NMR spectra, all in one integrated workflow.

The patented method offers better identification, best-in-class concentration measurement, and advanced de-convolution of the experimental spectra thus offering better access to overlapping signals in the spectra.

Chenomx Services utilize Chenomx NMR Suite software to perform the analysis using experienced scientists and a wealth of profiling experience. Chenomx Services are a cost effective solution for those with time or personnel constraints

How is Chenomx different?

Proprietary spectral libraries for metabolites

ID and concentration measurement in one operation

Deconvolution method exposes overlapped and hidden signals

The Chenomx Library

The Chenomx libraries include a sophisticated mix of NMR theory and empirical data to closely represent the spectral signatures of targeted compounds in different experimental conditions. The predicted signals can be adjusted by the user to reflect differences that may still remain in the shape of the signal compared to the library signature.

 Libraries are available from pH 4 through 9 and NMR field strengths from 400 through 800. Thousands of spectra were collected to support these conditions and test the concentration calculations.

Additional libraries have been created from the Human Metabolome Database (HMDB.ca) and are also available for download.

Chenomx Inc

"We have been using Chenomx NMR Suite software as a key part of our metabolomics projects for many years and we feel it is the industry standard for metabolite identification and concentration measurement in biological mixtures."

Dr. David Wishart
Dr. David Wishart University of Alberta, TMIC and HMDB lead




Chenomx Inc

‘Fitting’ the Signatures to the Spectrum

The key concept for the performance of Chenomx software is that of ‘Fitting’ the compound library to the experimental spectrum. The idea is to match the compound signature to the appropriate signals within the experimental spectrum. After a first fully automatic adjustment of the database reflecting the sample and acquisition conditions (pH, NMR field strength, line width) the user can make fine adjustments to make a better fit (including peak intensity and thus concentration values).

Identification and concentration
When the signature and the relevant experimental signals are matched, the result is a strong indication of the identity of the particular metabolite and its concentration.

Deconvolution and exposure of overlapped Signals
The method of predicting and fitting the signature to the experimental spectrum inherently only selects the signals that represent that compound. When those signals have been fit by the software then the remaining signals represent other compounds that have not yet been fit to the spectrum. As each compound is fit to the spectrum more and more signals are exposed and other metabolites can be identified and fit to the remaining signals (called the residual line of the spectrum).

Do You Have Any Questions?