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  <ref-type name="Thesis">32</ref-type>
  <contributors>
    <authors>
      <author>Peters, Lars Ingmar Eckart</author>
      <author>Wessling, Matthias</author>
      <author>Eppink, Michel</author>
    </authors>
    <subsidiary-authors>
      <author>416110</author>
    </subsidiary-authors>
  </contributors>
  <titles>
    <title>Membrane-based direct pH parametric pumping for protein concentration</title>
  </titles>
  <periodical/>
  <publisher>RWTH Aachen University</publisher>
  <pub-location>Aachen</pub-location>
  <language>English</language>
  <pages>1 Online-Ressource : Illustrationen, Diagramme</pages>
  <number/>
  <volume>11 (2021)</volume>
  <abstract>Purification and concentration of proteins from solutions gains ever more importance for industry. Typically, liquid packed chromatography is used in such processes. In recent years, membrane processes, such as membrane chromatography and membrane adsorbers, have challenged the state of the art processes. Membrane processes offer shorter diffusional pathways for the adsorption, faster binding kinetics and overall lower pressure drops, but are limited to a flat membrane geometry. Yet, any of these processes, to date, require extensive pre-filtration. Purification of an unfiltered protein broth is not feasible due to blocking or fouling of the internal membrane structure. Parametric pumping processes us- ing a hollow fiber membrane instead of a packed bed offer a potential pathway to overcome the need for an extensive prefiltration. Mixing ground ion exchange resins into the polymer solution prior to the phase inversion process enables the membrane to ad- and desorb proteins if the pH of the solution is alternated around the isoelectric point of the protein. A dense layer around the outside of the membrane prevents a liquid breakthrough and is used to control the pH by permeating pH shiftable gases. A experimental study is performed for the process and a process model is implemented to investigate further process conditions and to show the process limitation.</abstract>
  <notes>
    <note>Veröffentlicht auf dem Publikationsserver der RWTH Aachen University 2021 ; </note>
    <note>Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2020 ; </note>
  </notes>
  <label>2, ; PUB:(DE-HGF)11, ; PUB:(DE-HGF)3, ; </label>
  <keywords/>
  <accession-num/>
  <work-type>Dissertation / PhD Thesis</work-type>
  <volume>Dissertation</volume>
  <publisher>Rheinisch-Westfälische Technische Hochschule Aachen</publisher>
  <dates>
    <pub-dates>
      <year>2020</year>
    </pub-dates>
    <year>2020</year>
  </dates>
  <accession-num>RWTH-2021-01042</accession-num>
  <year>2020</year>
  <urls>
    <related-urls>
      <url>https://publications.rwth-aachen.de/record/811228</url>
    </related-urls>
  </urls>
</record>

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