Flow-Active Liquid Marbles as Microreactors for Photocatalytic Micromotors

Fecha de publicación

2025-09-12



Resumen

Self-propelled micromotors have shown promise for applications in environmental remediation, sensing, and biomedicine. However, assessing their performance in realistic, 3D microenvironments with dynamic boundaries and complex topography remains a key challenge. Achieving controlled motion and enhanced reactivity under such confinement is critical for both technological applications and fundamental studies on active matter. Here, the integration of light-driven micromotors with liquid marbles is presented, which are gas-permeable droplets encased by hydrophobic particles that act as dynamic, flow-active microreactors. By tuning the coverage of the particulate shell, partially covered liquid marbles are developed that exhibit robust evaporation-induced flows, increasing the average micromotor velocity by approximately threefold compared to sessile droplets. Under illumination, photocatalytic self-propulsion provides an additional velocity component and promotes micromotor dispersion. The combined circulation enhances mass transfer, guiding micromotor accumulation and transport while providing an optical transparent, soft-confinement platform for studying active particles and confined catalytic reactions.

Tipo de documento

Artículo

Versión del documento

Versión publicada

Lengua

Inglés

Materias CDU

Palabras clave

Química

Páginas

11 p.

Publicado por

Wiley

Número del acuerdo de la subvención

European Union (ERC, PhotoSwim, 101076680

PID2022-136886OA-I00 financed by MCIN/AEI/10.13039/501100011033/ FEDER, UE.

K.V. acknowledges the support from the Spanish Ministry of Science (MCIN/AEI/10.13039/501100011033) and the European Union (Next generation EU/PRTR) through the Ramón y Cajal grant, RYC2021-031075-I.

S.S. acknowledges funding from the European Research Council (ERC) under the European Union’s Horizon 2020 and Horizon Europe research and innovation programmes (grant agreement number 866348, i-NanoSwarms)

S.C. acknowledges the Predoctoral AGAUR-FI Joan Oró grant (2023 FI-1 00654) funded by ‘Secretaria d’Universitats i Recerca del Departament de Recerca i Universitats de la Generalitat de Catalunya’ and by European Social Fund Plus.

Ministerio de Ciencia e Innovación (MICIU/AEI/10.13039/501100011033) through the Severo Ochoa Excellence Accreditation CEX2024-001469-S

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Attribution 4.0 International

Attribution 4.0 International

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