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Algal remnant transformation to 5-HMF under biphasic conditions using a computationally predicted solvent selection approach

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

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McBride,  K.
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Linke,  S.
Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

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Sundmacher,  K.
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

Rihko-Struckmann, L., Sahni, A., McBride, K., Linke, S., & Sundmacher, K. (2019). Algal remnant transformation to 5-HMF under biphasic conditions using a computationally predicted solvent selection approach. Talk presented at International Symposium on Green Chemistry 2019. La Rochelle, France. 2019-05-13 - 2019-05-17.


Cite as: https://hdl.handle.net/21.11116/0000-0003-BFB5-A
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