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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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Item Permalink: http://hdl.handle.net/21.11116/0000-0003-BFB5-A Version Permalink: http://hdl.handle.net/21.11116/0000-0003-BFB6-9
Genre: Talk

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 Creators:
Rihko-Struckmann, L.1, Author              
Sahni, A., Author
McBride, K.1, Author              
Linke, S.1, 2, Author              
Sundmacher, K.1, 3, Author              
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              

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Language(s): eng - English
 Dates: 2019
 Publication Status: Not specified
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: -
 Degree: -

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Title: International Symposium on Green Chemistry 2019
Place of Event: La Rochelle , France
Start-/End Date: 2019-05-13 - 2019-05-17

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