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dc.contributor.authorMayorga-Martinez, Carmen C.
dc.contributor.authorFojtů, Michaela
dc.contributor.authorVyskočil, Jan
dc.contributor.authorCho, Nam-Joon
dc.contributor.authorPumera, Martin
dc.date.accessioned2022-11-03T12:07:54Z
dc.date.available2022-11-03T12:07:54Z
dc.date.issued2022
dc.identifier.citationAdvanced Functional Materials. 2022, art. no. 2207272.cs
dc.identifier.issn1616-301X
dc.identifier.issn1616-3028
dc.identifier.urihttp://hdl.handle.net/10084/148856
dc.description.abstractNaturally occurring micro/nanoparticles provide an incredible array of potential sources when preparing hybrid micro/nanorobots and their intrinsic properties can be exploited as multitasking functionalities of modern robotics as well as ensuring their mass production availability. Herein, magnetic biological bots (BioBots) prepared from defatted sunflower pollen microparticles by ferromagnetic metal layer evaporation on one side of its surface are described. It is demonstrated that the methodology employed introduces magnetic properties to sunflower pollen microparticles-based BioBots and enable their magnetic actuation. Interestingly, as-prepared magnetic sunflower pollen-based BioBots can naturally attract cancer cells due to their opposite charges (positive and negative, respectively). Such attracted cancer cells can then be transported by microrobots. This strong attraction also allows the delivery of drugs intended to kill the cancer cells. Sunflower-based BioBots can be fabricated in large quantities, and are naturally programmable, making them promising candidates for cancer cell therapy.cs
dc.language.isoencs
dc.publisherWileycs
dc.relation.ispartofseriesAdvanced Functional Materialscs
dc.relation.urihttps://doi.org/10.1002/adfm.202207272cs
dc.rights© 2022 Wiley-VCH GmbHcs
dc.subjectbiological microrobotscs
dc.subjectdrug deliveriescs
dc.subjecthybrid roboticscs
dc.subjectmagnetic micromotorscs
dc.titlePollen-based magnetic microrobots are mediated by electrostatic forces to attract, manipulate, and kill cancer cellscs
dc.typearticlecs
dc.identifier.doi10.1002/adfm.202207272
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.firstpageart. no. 2207272cs
dc.identifier.wos000849040300001


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