Selective Segregation of Thermo‐Responsive Microgels via Microfluidic Technology
Abstract: Separation of equally sized particles distinguished solely by material properties remains still a very challenging task. Here a simple separation of differently charged, thermo‐responsive polymeric particles (for example microgels) but equal in size, via the combination of pressure‐driven microfluidic flow and precise temperature control is proposed. The separation principle relies on forcing thermo‐responsive microgels to undergo the volume phase transition during heating and therefore changing its size and correspondingly the change in drift along a pressure driven shear flow. Different thermo‐responsive particle types such as different grades of ionizable groups inside the polymer matrix have different temperature regions of volume phase transition temperature (VPTT). This enables selective control of collapsed versus swollen microgels, and accordingly, this physical principle provides a simple method for fractioning a binary mixture with at least one thermo‐responsive particle, which is achieved by elution times in the sense of particle chromatography. The concepts are visualized in experimental studies, with an intend to improve the purification strategy of the broad distribution of charged microgels into fractioning to more narrow distribution microgels distinguished solely by slight differences in net charge.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Selective Segregation of Thermo‐Responsive Microgels via Microfluidic Technology ; day:01 ; month:08 ; year:2024 ; extent:11
Small Methods ; (01.08.2024) (gesamt 11)
- Urheber
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Sharma, Anjali
Rohne, Fabian
Vasquez Muñoz, Daniela
Jung, Se‐Hyeong
Lomadze, Nino
Pich, Andrij
Santer, Svetlana
Bekir, Marek
- DOI
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10.1002/smtd.202400226
- URN
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urn:nbn:de:101:1-2408021422100.948855871665
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 11:01 MESZ
Datenpartner
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Beteiligte
- Sharma, Anjali
- Rohne, Fabian
- Vasquez Muñoz, Daniela
- Jung, Se‐Hyeong
- Lomadze, Nino
- Pich, Andrij
- Santer, Svetlana
- Bekir, Marek