Multiphysics microfluidics for cell manipulation and separation: a review.


Journal

Lab on a chip
ISSN: 1473-0189
Titre abrégé: Lab Chip
Pays: England
ID NLM: 101128948

Informations de publication

Date de publication:
01 02 2022
Historique:
pubmed: 21 1 2022
medline: 9 3 2022
entrez: 20 1 2022
Statut: epublish

Résumé

Multiphysics microfluidics, which combines multiple functional physical processes in a microfluidics platform, is an emerging research area that has attracted increasing interest for diverse biomedical applications. Multiphysics microfluidics is expected to overcome the limitations of individual physical phenomena through combining their advantages. Furthermore, multiphysics microfluidics is superior for cell manipulation due to its high precision, better sensitivity, real-time tunability, and multi-target sorting capabilities. These exciting features motivate us to review this state-of-the-art field and reassess the feasibility of coupling multiple physical processes. To confine the scope of this paper, we mainly focus on five common forces in microfluidics: inertial lift, elastic, dielectrophoresis (DEP), magnetophoresis (MP), and acoustic forces. This review first explains the working mechanisms of single physical phenomena. Next, we classify multiphysics techniques in terms of cascaded connections and physical coupling, and we elaborate on combinations of designs and working mechanisms in systems reported in the literature to date. Finally, we discuss the possibility of combining multiple physical processes and associated design schemes and propose several promising future directions.

Identifiants

pubmed: 35048916
doi: 10.1039/d1lc00869b
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

423-444

Auteurs

Haotian Cha (H)

Queensland Micro- and Nanotechnology Centre, Griffith University, Nathan, Queensland 4111, Australia. nam-trung.nguyen@griffith.edu.au.

Hedieh Fallahi (H)

Queensland Micro- and Nanotechnology Centre, Griffith University, Nathan, Queensland 4111, Australia. nam-trung.nguyen@griffith.edu.au.

Yuchen Dai (Y)

Queensland Micro- and Nanotechnology Centre, Griffith University, Nathan, Queensland 4111, Australia. nam-trung.nguyen@griffith.edu.au.

Dan Yuan (D)

Centre for Regional and Rural Futures, Deakin University, Geelong, Victoria 3216, Australia.

Hongjie An (H)

Queensland Micro- and Nanotechnology Centre, Griffith University, Nathan, Queensland 4111, Australia. nam-trung.nguyen@griffith.edu.au.

Nam-Trung Nguyen (NT)

Queensland Micro- and Nanotechnology Centre, Griffith University, Nathan, Queensland 4111, Australia. nam-trung.nguyen@griffith.edu.au.

Jun Zhang (J)

Queensland Micro- and Nanotechnology Centre, Griffith University, Nathan, Queensland 4111, Australia. nam-trung.nguyen@griffith.edu.au.

Articles similaires

Sound Neural Networks, Computer Acoustics Algorithms Humans

Acoustic cognitive map-based navigation in echolocating bats.

Aya Goldshtein, Xing Chen, Eran Amichai et al.
1.00
Animals Chiroptera Echolocation Spatial Navigation Homing Behavior
Animals Robotics Algorithms Sperm Whale Vocalization, Animal

Low-cost portable sensor for rapid and sensitive detection of Pb

Niloufar Amin, Jiangang Chen, Qing Cao et al.
1.00
Lead Electric Capacitance Limit of Detection Electrodes Electrochemical Techniques

Classifications MeSH