Extraction on a robotic platform - autonomous solvent selection under economic evaluation criteria

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dc.contributor.authorSchreiber, Mareike
dc.contributor.authorBrunert, Manuel
dc.contributor.authorSchembecker, Gerhard
dc.date.accessioned2022-03-23T13:57:16Z
dc.date.available2022-03-23T13:57:16Z
dc.date.issued2021-06-21
dc.description.abstractSteps and necessary decisions for a liquid-liquid extraction were pointed out for its automatic design on a robotic platform. A tool for solvent selection based on Hansen parameters was developed to simplify solvent selection. An approach was developed for automatic, visual phase boundary detection. Key performance indicators are used to ensure economically motivated decisions. The autonomous design of an extraction process is demonstrated for the separation of progesterone from a fermentation broth. The method leads to the selection of methanol and acetonitrile, with separation cost indicators of 146 and 183 € gProg.−1. This work constitutes the prospects of using autonomous robotic systems to design entire production processes.en
dc.identifier.urihttp://hdl.handle.net/2003/40819
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-22676
dc.language.isoende
dc.relation.ispartofseriesChem. Eng. Technol.;44(9)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectAutomationen
dc.subjectDownstream process designen
dc.subjectExtractionen
dc.subjectRobotic platformsen
dc.subjectSolvent selectionen
dc.subject.ddc660
dc.titleExtraction on a robotic platform - autonomous solvent selection under economic evaluation criteriaen
dc.typeTextde
dc.type.publicationtypearticlede
dcterms.accessRightsopen access
eldorado.secondarypublicationtruede
eldorado.secondarypublication.primarycitationSchreiber, M., Brunert, M. and Schembecker, G. (2021), Extraction on a Robotic Platform – Autonomous Solvent Selection under Economic Evaluation Criteria. Chem. Eng. Technol., 44: 1578-1584. https://doi.org/10.1002/ceat.202100171de
eldorado.secondarypublication.primaryidentifierhttps://doi.org/10.1002/ceat.202100171de

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