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Computational Solvent Screening for Efficient Microalgal-based Biorefineries exemplified by Phaeodactylum tricornutum

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König-Mattern,  Laura
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Linke,  Steffen
International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg, External Organizations;

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Rihko-Struckmann,  Liisa
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Sundmacher,  Kai
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Otto-von-Guericke-Universität Magdeburg, External Organizations;

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Citation

König-Mattern, L., Linke, S., Rihko-Struckmann, L., & Sundmacher, K. (2021). Computational Solvent Screening for Efficient Microalgal-based Biorefineries exemplified by Phaeodactylum tricornutum. Talk presented at International Conference on Algal Biomass, Biofuels and Bioproducts (AlgalBBB 2021). Virtual. 2021-06-15 - 2021-06-16.


Cite as: https://hdl.handle.net/21.11116/0000-0008-C79A-A
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