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Article: Leidenfrost Effect-Induced Chaotic Vortex Flow for Efficient Mixing of Highly Viscous Droplets

TitleLeidenfrost Effect-Induced Chaotic Vortex Flow for Efficient Mixing of Highly Viscous Droplets
Authors
KeywordsLeidenfrost-effect
mixing
nanomaterials
vortex flow
Issue Date1-Oct-2024
PublisherWiley
Citation
Advanced Materials, 2024, v. 36, n. 40 How to Cite?
AbstractEfficiently mixing highly viscous liquids in microfluidic systems is appealing for green chemistry such as chemical synthesis and catalysis, but it is a long-standing challenge owing to the unfavorable diffusion kinetics. In this work, a new strategy is explored for mixing viscous droplets by harnessing a peculiar Leidenfrost state, where the substrate temperature is above the boiling point of the liquid without apparent liquid evaporation. Compared to the control experiment where the droplet stays at a similar temperature but in the contact boiling regime, the mixing time can be reduced significantly. Moreover, it is demonstrated that the liquid mixing originates from the chaotic convection flow in the Leidenfrost droplet, characterized by the internal vortex motion evidenced by the microscale visualization. A correlation between mixing time and droplet volume is also proposed, showing a good agreement with experimental results. It is further shown that Leidenfrost droplets can be used to synthesize nanoparticles of the desired morphology, and it is anticipated that this simple and scalable fabrication approach will find applications in the biological, pharmaceutical, and chemical industries.
Persistent Identifierhttp://hdl.handle.net/10722/351129
ISSN
2023 Impact Factor: 27.4
2023 SCImago Journal Rankings: 9.191

 

DC FieldValueLanguage
dc.contributor.authorLiu, Minjie-
dc.contributor.authorJi, Bingqiang-
dc.contributor.authorDang, Chaoqun-
dc.contributor.authorZhao, Fuwang-
dc.contributor.authorZhang, Chao-
dc.contributor.authorJin, Yuankai-
dc.contributor.authorJiang, Mengnan-
dc.contributor.authorLu, Yang-
dc.contributor.authorTang, Hui-
dc.contributor.authorWang, Steven-
dc.contributor.authorWang, Zuankai-
dc.date.accessioned2024-11-10T00:30:18Z-
dc.date.available2024-11-10T00:30:18Z-
dc.date.issued2024-10-01-
dc.identifier.citationAdvanced Materials, 2024, v. 36, n. 40-
dc.identifier.issn0935-9648-
dc.identifier.urihttp://hdl.handle.net/10722/351129-
dc.description.abstractEfficiently mixing highly viscous liquids in microfluidic systems is appealing for green chemistry such as chemical synthesis and catalysis, but it is a long-standing challenge owing to the unfavorable diffusion kinetics. In this work, a new strategy is explored for mixing viscous droplets by harnessing a peculiar Leidenfrost state, where the substrate temperature is above the boiling point of the liquid without apparent liquid evaporation. Compared to the control experiment where the droplet stays at a similar temperature but in the contact boiling regime, the mixing time can be reduced significantly. Moreover, it is demonstrated that the liquid mixing originates from the chaotic convection flow in the Leidenfrost droplet, characterized by the internal vortex motion evidenced by the microscale visualization. A correlation between mixing time and droplet volume is also proposed, showing a good agreement with experimental results. It is further shown that Leidenfrost droplets can be used to synthesize nanoparticles of the desired morphology, and it is anticipated that this simple and scalable fabrication approach will find applications in the biological, pharmaceutical, and chemical industries.-
dc.languageeng-
dc.publisherWiley-
dc.relation.ispartofAdvanced Materials-
dc.subjectLeidenfrost-effect-
dc.subjectmixing-
dc.subjectnanomaterials-
dc.subjectvortex flow-
dc.titleLeidenfrost Effect-Induced Chaotic Vortex Flow for Efficient Mixing of Highly Viscous Droplets-
dc.typeArticle-
dc.identifier.doi10.1002/adma.202409192-
dc.identifier.pmid39188204-
dc.identifier.scopuseid_2-s2.0-85202033042-
dc.identifier.volume36-
dc.identifier.issue40-
dc.identifier.eissn1521-4095-
dc.identifier.issnl0935-9648-

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