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

Rihko-Struckmann, L.; Sahni, A.; McBride, K.; Linke, S.; Sundmacher, K.

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

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.

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Datensatz-Permalink: https://hdl.handle.net/21.11116/0000-0003-BFB5-A Versions-Permalink: https://hdl.handle.net/21.11116/0000-0003-BFB6-9

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Urheber:
Rihko-Struckmann, L.¹, Autor
Sahni, A., Autor
McBride, K.¹, Autor
Linke, S.^{1, 2}, Autor
Sundmacher, K.^{1, 3}, Autor

Affiliations:
1Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151
2International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738143
3Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156