Mnova | Analytical Chemistry Software Solutions

Mnova is a multipage, multivendor, multitechnique and multiplatform analytical chemistry software suite designed as a container for our plugins.

The Mnova installer works as a container for all our specific plugins. This shared interface and its automation abilities allow our users to optimize their learning curve and workflows by combining different technique data on the same application.

Basic plugins

NMR processing, analysis, simulation and reporting at your fingertips.

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Processing & analyzing LC/GC/MS data made simple.

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Advanced plugins

Prediction of NMR spectra from molecular structure; allows auto-assignments if combined with Mnova NMR.

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Automatic Structure Verification that really works.

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Arrive at optimal concentration or purity values.

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A new concept for the shared storage of molecules, NMR and LC/GC/MS analytical data and other Mnova objects.

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Simple, facilitated extraction of spectroscopic and chemical kinetic concentration data.

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A state-of-the-art automatic analysis tool for ligand screening NMR data.

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SMA is an open architecture to analyze simple mixtures by NMR.

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#Newsfeed

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We are glad to introduce our freshly made Mnova 11!

Published on:
14 September, 2016

We have just released Mnova 11.0.1, a new minor version of our software. Check here what’s new in Mnova 11!

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List of conferences 2016

Published on:
27 August, 2016

Mestrelab will be attending the following conferences in 2016!

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qNMR: the best pulse length for acquisition

Published on:
22 June, 2016

qNMR relies on high quality spectra with excellent signal. Here we describe the effect of pulse width on experiment length, considering relaxation.

Santi Dominguez, CEO at Mestrelab Research, presented “New cloud-based ELN with built-in raw analytical data support and automatic structure confirmation capabilities” at ACS Spring meeting 2016. Click on the title to watch the video!

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New qNMR experiments

Published on:
10 December, 2015

qNMR Mixtures analysis can be effectively accomplished using NMR. Simply put, a unique signal is required for each component. This and related technical issues with signal acquisition are addressed with new experiments that have recently been described.