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Reaction Monitoring & Optimization

reaction monitoring & optimization application

Efficient real time and batch analyses of chemical reactions

Mnova enhances reaction monitoring in fields like Pharma/Biotech, Organic Chemistry, and Chemical Engineering by integrating NMR and LC-MS data analysis. This comprehensive approach allows chemists to collect detailed spectroscopic, chromatographic, and kinetic data throughout reactions, optimizing conditions with precision.

By automating these processes, Mnova ensures efficient reaction monitoring and optimization, helping scientists achieve optimal outcomes.

Explore Mnova’s solutions for streamlined reaction analysis.

Reaction Monitoring & Optimization

What can Mnova do for your reaction monitoring and optimization?

Mnova provides advanced tools for real-time monitoring and optimization of chemical reactions, enhancing efficiency and accuracy in various applications.

Monitoring Chemical Reactions in Real-Time​

Mnova can provide fundamental support by extracting spectroscopic and kinetic concentration data from arrayed NMR datasets. By collecting NMR spectra at regular intervals throughout the course of a chemical reaction, researchers gain real-time insights into the progress and dynamics of their reactions, enabling precise adjustments and optimizations. ​Read more about Mnova Reaction Monitoring.

Mnova for reaction monitoring and optimization

Tracking and Optimizing Chemical Reactions​

Streamline the reaction optimization process by automating the tracking and quantification of reaction participants across multiple reactions with Chrom Reaction Optimization.
By leveraging molecular information such as structure or M/Z values, or retention time data provided by the user, this tool accurately identifies and quantifies reaction compounds, generating a range of outputs to facilitate decision-making.​​

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Comprehensive Data Analysis and Visualization​

Both Mnova Reaction Monitoring and Chrom Reaction Optimization include robust data analysis and visualization capabilities. Results from these tools can be matched to designed experimental points and presented in various formats, including graphical visuals. This allows researchers to make quick, informed decisions based on clear and comprehensive data representations.​

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Real-Life Examples