Evaluation of the effects of nanoprecipitation process parameters on the size and morphology of poly(ethylene oxide)-block-polycaprolactone nanostructures

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorKänkänen, Voittoen_US
dc.contributor.authorSeitsonen, Janien_US
dc.contributor.authorTuovinen, Henrien_US
dc.contributor.authorRuokolainen, Janneen_US
dc.contributor.authorHirvonen, Jounien_US
dc.contributor.authorBalasubramanian, Vimalkumaren_US
dc.contributor.authorSantos, Hélder A.en_US
dc.contributor.departmentDepartment of Applied Physicsen
dc.contributor.groupauthorMolecular Materialsen
dc.contributor.organizationUniversity of Helsinkien_US
dc.contributor.organizationBayer AGen_US
dc.date.accessioned2021-03-22T07:08:48Z
dc.date.available2021-03-22T07:08:48Z
dc.date.embargoinfo:eu-repo/date/embargoEnd/2021-10-12en_US
dc.date.issued2020-11-30en_US
dc.description.abstractNanoprecipitation is a straightforward method for the production of block copolymer nanoparticles for drug delivery applications. However, the effects of process parameters need to be understood to optimize and control the particle size distribution (PSD). To this end, we investigated the effects of material and process factors on PSD and morphology of nanoparticles prepared from an amphiphilic diblock copolymer, poly(ethylene oxide)-block-polycaprolactone. Using a Design of Experiments approach, we explored the joint effects of molecular weight, block length ratios, water volume fraction, stirring rate, polymer concentration and organic phase addition rate on hydrodynamic size and polydispersity index of the nanostructures and created statistical models explaining up to 94% of the variance in hydrodynamic diameter. In addition, we performed morphological characterization by cryogenic transmission electron microscopy and showed that increasing the process temperature may favor the formation of vesicles from these polymers. We showed that the effects of process parameters are dependent on the polymer configuration and we found that the most useful parameters to fine-tune the PSD are the initial polymer concentration and the stirring rate. Overall, this study provides evidence on the joint effects of material and process parameters on PSD and morphology, which will be useful for rational design of formulation-specific optimization studies, scale-up and process controls.en
dc.description.versionPeer revieweden
dc.format.extent11
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationKänkänen, V, Seitsonen, J, Tuovinen, H, Ruokolainen, J, Hirvonen, J, Balasubramanian, V & Santos, H A 2020, ' Evaluation of the effects of nanoprecipitation process parameters on the size and morphology of poly(ethylene oxide)-block-polycaprolactone nanostructures ', International Journal of Pharmaceutics, vol. 590, 119900 . https://doi.org/10.1016/j.ijpharm.2020.119900en
dc.identifier.doi10.1016/j.ijpharm.2020.119900en_US
dc.identifier.issn0378-5173
dc.identifier.issn1873-3476
dc.identifier.otherPURE UUID: 7dae71e2-7dee-407f-be67-14fd8af26487en_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/7dae71e2-7dee-407f-be67-14fd8af26487en_US
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85092379783&partnerID=8YFLogxKen_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/56885407/SCI_K_nk_nen_Evaluation.1_s2.0_S0378517320308851_main.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/103223
dc.identifier.urnURN:NBN:fi:aalto-202103222501
dc.language.isoenen
dc.publisherElsevier
dc.relation.ispartofseriesInternational Journal of Pharmaceuticsen
dc.relation.ispartofseriesVolume 590en
dc.rightsopenAccessen
dc.subject.keywordBlock copolymersen_US
dc.subject.keywordNanoparticlesen_US
dc.subject.keywordNanoprecipitationen_US
dc.subject.keywordProcess optimizationen_US
dc.subject.keywordSelf-assemblyen_US
dc.subject.keywordStatistical modelsen_US
dc.titleEvaluation of the effects of nanoprecipitation process parameters on the size and morphology of poly(ethylene oxide)-block-polycaprolactone nanostructuresen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
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