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    News and events related to Neosuccess project.

    UpStream unit is starting-up!

    The Up Stream Process (USP) sub-unit is now completed and starting-up! After months of hard work, the USP installation is very close to start working. IVEM is now testing the sub-unit to make sure there are no faults and iron it out. That means making sure that valves open and close properly,

    Studying our context (Freedom to Operate and Market Analysis)

    NeoSuccess is doing its homework regarding the analysis of the context. Freedom to Operate (FtO) and Market Analysis (MAn) are being elaborated for the project at the moment. With the help of our subcontractors (BiotechPRO for the FtO and MAn; and AINIA for the MAn), NEOSUCCESS has been and is

    Evolved strains from A. succinogenes studies are ongoing

    Characterization and performance assessment of the evolved strains from Actinobacillus succinogenes 130Z using Trolli streams is ongoing.                   The resistance experiment had as aim to assess the performance of the adapted strains compared to the WT strain of the A. succinogenes

    Dataset is a must for NEOSUCCESS

    AUTH team overviews the dataset structure and proceeds by adding parameters suitable for the evaluation and monitoring of the performance of the NEOSUCCESS system. The aim is to ensure product quality and to eliminate problems at

    Downstream process final design is almost here!

    Norvento and AINIA are working non-stop to close the final design of the Downstream Process. Our goal is to obtain high-quality BioSuccinic Acid from fermentation broth. Final lab results using the real samples of the broth obtained by the Upstream Process Team show promising performance to reach

    Towards the maximum CO2 bioconversion along upstreaming

    NEOSUCCESS consortium is aware of the technology significance along biogas upgrading market and aims at obtaining the best CO2 removals. In this regard, strategies to maximize CO2 solubilization and consumption by A. succinogenes are currently being optimized at lab-scale at AINIA, prior

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