English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

Computer-Aided Screening of Deep Eutectic Solvent Systems for the Associative Extraction of α-Tocopherol from Deodorizer Distillate

MPS-Authors
/persons/resource/persons213705

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

/persons/resource/persons130465

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

/persons/resource/persons86497

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

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
Citation

Song, Z., Zhou, T., Qi, Z., & Sundmacher, K. (2021). Computer-Aided Screening of Deep Eutectic Solvent Systems for the Associative Extraction of α-Tocopherol from Deodorizer Distillate. In M. Türkay, & R. Gani (Eds.), 31st European Symposium on Computer Aided Process Engineering (pp. 341-346). Amsterdam, Netherlands: Elsevier.


Cite as: https://hdl.handle.net/21.11116/0000-0008-F12B-8
Abstract
There is no abstract available