Liu Minjie, Ji Bingqiang, Dang Chaoqun, Zhao Fuwang, Zhang Chao, Jin Yuankai, Jiang Mengnan, Lu Yang, Tang Hui, Wang Steven, Wang Zuankai
School of Mechanical Engineering, Tiangong University, Tianjin, 300387, China.
Department of Mechanical Engineering, City University of Hong Kong, Hong Kong, 999077, China.
Adv Mater. 2024 Oct;36(40):e2409192. doi: 10.1002/adma.202409192. Epub 2024 Aug 27.
Efficiently 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.
在微流体系统中高效混合高粘性液体对化学合成和催化等绿色化学领域具有吸引力,但由于不利的扩散动力学,这一直是一个长期挑战。在这项工作中,探索了一种利用特殊莱顿弗罗斯特状态混合粘性液滴的新策略,在该状态下,基底温度高于液体沸点但无明显液体蒸发。与液滴处于相似温度但处于接触沸腾状态的对照实验相比,混合时间可显著缩短。此外,证明了液体混合源于莱顿弗罗斯特液滴中的混沌对流,其特征是通过微观可视化证明的内部涡旋运动。还提出了混合时间与液滴体积之间的相关性,与实验结果吻合良好。进一步表明,莱顿弗罗斯特液滴可用于合成所需形态的纳米颗粒,预计这种简单且可扩展的制造方法将在生物、制药和化学工业中得到应用。