Gutenberg Open Science: Active and passive motion in complex pH-fields

Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-8065

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DC Field	Value	Language
dc.contributor.author	Möller, Nadir	-
dc.contributor.author	Seiffert, Sebastian	-
dc.contributor.author	Palberg, Thomas	-
dc.contributor.author	Niu, Ran	-
dc.date.accessioned	2022-11-08T11:11:48Z	-
dc.date.available	2022-11-08T11:11:48Z	-
dc.date.issued	2021	-
dc.identifier.uri	https://openscience.ub.uni-mainz.de/handle/20.500.12030/8080	-
dc.description.abstract	We create pH landscapes of increasing spatial complexity by placing ion exchange resin beads of different types and sizes in a closed cell featuring a negatively charged bottom substrate. We thus extend previous measurements in a chemically homogeneous background to investigations in chemically structured backgrounds, which evolve in time. We determine local pH gradients by photometry and study the resulting solvent flows along the substrate by tracking passive tracer particles. Analytical modelling of the dispersion of chemicals is possible for situations with dominantly diffusive transport. We then release phoretic swimmers in differently shaped pH fields and study their motion for selected examples. Catalytic Janus swimmers assembled in the wake of a mobile pH source form a modular swimmer showing a noise-dominated trajectory. For standard modular swimmers with passive cargo, we identify well-defined and reproducible swimming trajectory types at and around single pH sources. These include swimmer deflection and swing-by maneuvers, swimmer trapping and escape, as well as circular orbits. More complicated paths result from combining the pH fields of multiple pH sources. Finally, we address swimmer-swimmer interactions resulting from the superposition of their own pH fields. Our findings clearly demonstrate the high potential of chemically structured environments for swimmer steering. They can further be rationalized in a simple heuristic model considering the interplay of phoretic flows on different length and time scales and its influence on swimmer speed, orientation and emerging propulsion direction. In view of the vast range of possible combinations, our study has to remain preliminary. We anticipate, however, that it will aid the general understanding of transport experiments in pH-driven systems and other types of phoresis and thus also help design novel and useful strategies for directed transport on the micro-scale.	en_GB
dc.language.iso	eng	de
dc.rights	CC BY-NC	*
dc.rights.uri	https://creativecommons.org/licenses/by-nc/4.0/	*
dc.subject.ddc	540 Chemie	de_DE
dc.subject.ddc	540 Chemistry and allied sciences	en_GB
dc.title	Active and passive motion in complex pH-fields	en_GB
dc.type	Zeitschriftenaufsatz	de
dc.identifier.doi	http://doi.org/10.25358/openscience-8065	-
jgu.type.dinitype	article	en_GB
jgu.type.version	Published version	de
jgu.type.resource	Text	de
jgu.organisation.department	FB 09 Chemie, Pharmazie u. Geowissensch.	de
jgu.organisation.number	7950	-
jgu.organisation.name	Johannes Gutenberg-Universität Mainz	-
jgu.rights.accessrights	openAccess	-
jgu.journal.title	ChemNanoMat	de
jgu.journal.volume	7	de
jgu.journal.issue	10	de
jgu.pages.start	1145	de
jgu.pages.end	1160	de
jgu.publisher.year	2021	-
jgu.publisher.name	Wiley	de
jgu.publisher.place	Weinheim	de
jgu.publisher.issn	2199-692X	de
jgu.organisation.place	Mainz	-
jgu.subject.ddccode	540	de
jgu.publisher.doi	10.1002/cnma.202100201	de
jgu.organisation.ror	https://ror.org/023b0x485	-
Appears in collections:	JGU-Publikationen

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