Data Publication: Protein Enrichment by Foam Fractionation: Experiment and Modeling

DOI

This work investigates the enrichment of bovine serum albumin (BSA) protein through foam fractionation. Here, we performed experiments using BSA and measured the recovery and grade of the extract. Additionally, an unsteady-state simulation of the protein foam fractionation process was carried out by numerically solving the liquid drainage equation in the foam. Thereby, the extracted liquid volume and protein concentration were calculated. Required quantities such as foam stability, interface coverage or bubble size distribution were measured in corresponding experiments and were fed into the model. The experiments showed that the foam coalescence accelerates the liquid drainage leading to dryer extract and higher protein enrichment. The modeling also reproduced the liquid recovery and extract concentration of the foam fractionation tests within a reasonable error range. The modeling solely relies on experimental inputs and does not require any tuning parameters. It can be further used for optimization or up-scaling of protein foam fractionation.

Identifier
DOI https://doi.org/10.14278/rodare.1558
Related Identifier https://www.hzdr.de/publications/Publ-34606
Related Identifier https://www.hzdr.de/publications/Publ-34609
Related Identifier https://doi.org/10.14278/rodare.1557
Related Identifier https://rodare.hzdr.de/communities/fwd
Related Identifier https://rodare.hzdr.de/communities/hzdr
Related Identifier https://rodare.hzdr.de/communities/rodare
Metadata Access https://rodare.hzdr.de/oai2d?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:rodare.hzdr.de:1558
Provenance
Creator Keshavarzi, Behnam; Krause, Thomas; Sikandar, Sidra; Schwarzenberger, Karin; Eckert, Kerstin; Ansorge-Schumacher, Marion; Heitkam, Sascha
Publisher Rodare
Publication Year 2022
Rights Restricted Access; info:eu-repo/semantics/restrictedAccess
OpenAccess false
Contact https://rodare.hzdr.de/support
Representation
Language English
Resource Type Dataset
Discipline Life Sciences; Natural Sciences; Engineering Sciences