Fluorinated contaminants NMR diagnosis

Diagnose pollution with Fluovial, our efficient NMR and Machine Learning techniques for analysis, detection, characterization, quantification and identification of fluorinated compounds (including PFAS pollutants) from NMR spectra.

↪ In relation with this project, we're engaged in IPANEMA, a project supported by ADEME, leaded by INRAE and dedicated to investigations of PFAS soils pollution.

Decision-making tool for NMR spectral assignments of proteins

Use RESCUE3 our Deep Learning approach using the value of NMR chemical shifts to estimate the type of residues in an unassigned NMR set of experiments.

4NMR

• Process your results using an NMR processing application with:
• • Optimized processing and preprocessing with state-of-the art algorithms
• • Fully automatic routine and pipelines, adapted for ¹H, ¹³C and ¹⁹F nuclei
• • Data import from spectrometer to operate directly, reading and processing external formats: Bruker, JCAMP, Gifa, .nnb, .4nmr ...

4DOSY

Process your DOSY experiments using our processing software, based on the PALMA algorithm, applying an ILT approach and an hybrid MaxEnt / l₁ regularization. This method allows a fast analysis and an accurate estimation of the diffusion coefficients for species in solution.

Explore your porous materials

T2 – Inverse Laplace Transform
Explore your porous materials with T-ILT: an easy and fast relaxometry software to analyse your data

Plasmodesma Method

• Automatize your pharmacophoric deconvolution for plant extracts with Plasmodesma.
• Fast and intuitive identification of active compounds from natural extracts with an interactive user-friendly graphical web application.

MASS SPECTROMETRY INNOVATION

• CASC4DE, member of the EU FT-ICR MS network, developed a remote FT-ICR MS platform enabling 1D & 2D FTICR processing and LC/MS display. Analyze your data using features included in original programs:
• • analysis of narrow band modulation acquisition increasing resolving power
• • computation of isotopic pattern
• Project funded by the EU