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Metabolomics

Comprehensive metabolomics solutions from start to finish​

Mnova offers the only commercial software solution that fully addresses the challenges of metabolomics, providing tools for MS, LC, GC and NMR analysis. From mixture analysis to metabolomic statistics (Chemometrics), Mnova supports scientists with a complete suite of features. Moreover, with the Mgears platform, the entire process can be fully automated with just a single click, streamlining your workflow and saving valuable time.

Discover the future of metabolomics with Mnova.

Metabolomics

What can Mnova do for your metabolomics application?

Mnova: A Comprehensive Suite for NMR and LC/GC-MS in Metabolomics Analysis

In metabolomics, the complexity of biological samples requires multiple analytical techniques for accurate metabolite identification and quantification. Since no single method covers all chemical properties, techniques like NMR and LC/GC-MS are combined to provide complementary information. Mnova simplifies this process by integrating these techniques into one platform, streamlining data analysis and improving efficiency.​ Check out this article.

Advanced Tools for Mixture Analysis and Data Management in Metabolomics

Mnova provides cutting-edge tools for analyzing complex mixtures and managing metabolomics data, making it an essential platform for researchers. Tools such as SMA (Simple Mixture Analysis) and DB are designed to simplify the identification and quantification of individual or multiple components in complex mixtures, while USP-ID further enhances this workflow in the benchtop NMR field.​

Chemometrics Tools in Mnova for Metabolomics Applications

Mnova offers a comprehensive suite of chemometric tools tailored for metabolomics research. The Advanced Chemometrics plugin includes essential tools such as PCA, PLS, and SIMCA for complex data modeling, while BioHOS integrates these chemometrics capabilities with CCSD, ECHOS, and 1D Profile methods for higher-order structure analysis. Together, these tools enable efficient, precise analysis and visualization of large metabolomics datasets, greatly streamlining research processes.​

Real-life Examples