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Toward a mechanistic understanding of microfluidic droplet-based extraction and separation of lanthanides

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journal contribution
posted on 08.10.2018 by Hao Zhang, Huizhi Wang, Xiaojiao Luo, Dennis Y. Leung, Qishou Pang, Hong Xu, Li Zhang, Jin Xuan
Droplet-based microfluidic extraction is a promising way for effective lanthanides extraction due to its outstanding mass transfer performance. The separation process can be greatly enhanced with the droplet-based microfluidic extraction technique. However, the interactions between mass transfer, microfluidic dynamics and extraction kinetics are still unclear, which has hindered further manipulation on microfluidic extraction to boost extraction performance. In this study, the mechanisms of microfluidic droplet-based extraction and separation intensification of lanthanides are for the first time unveiled by using a numerical simulation model. The limiting factors for the performance of droplet-based microfluidic extraction are identified through a model-based parametric analysis. The numerical analyses provide a comprehensive understanding of droplet-based microfluidic extraction systems and offer operation and optimization guidelines for future research in this area.

Funding

The research work presented in this paper is supported by Natural Science Foundation of Jiangxi Province, China (20171BAB216023), Research Project of Jiangxi Department of Education, China (GJJ150639), Program for Excellent Young Talents, JXUST.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Chemical Engineering

Published in

Chemical Engineering Journal

Volume

356

Pages

673 - 679

Citation

ZHANG, H. ... et al, 2018. Toward a mechanistic understanding of microfluidic droplet-based extraction and separation of lanthanides. Chemical Engineering Journal, 356, pp.673-679.

Publisher

© Elsevier

Version

AM (Accepted Manuscript)

Publisher statement

This paper was accepted for publication in the journal Chemical Engineering Journal and the definitive published version is available at https://doi.org/10.1016/j.cej.2018.09.043.

Publication date

2018

ISSN

1385-8947

Language

en

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