Dynamic Transport Control of Colloidal Particles by Repeatable Active Switching of Solute Gradients
Source abstract
Abstract
Diffusiophoresis (DP) is described as typically being divided into chemiphoresis (CP) and electrophoresis (EP), and the related theory is well-established. However, not only the individual effect of CP and EP but also the size dependency on the resulting DP of colloidal particles has not yet been comprehensively demonstrated in an experimental manner. In this paper, we present a dynamic transport control mechanism for colloidal particles by developing a micro-/nanofluidic DP platform (MNDP). We demonstrate that the MNDP can generate transient and/or steady-state concentration gradients, making it possible to control the direction and rate of transport of colloidal particles through the individual manipulation of CP and EP by simply and rapidly switching solutions. In addition, the MNDP allows the size-dependent separation as well as fractionation of submicron particles through the individual manipulation of CP and EP, thus empirically validating the classic theoretical model for DP under the influence of electrical double layer (EDL) thickness. Furthermore, we provide theoretical analysis and simulation results that will enable the development of a versatile separation and/or fractionation technique for various colloidal particles, including biosamples, according to their size or electrical feature.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Microfluidic and Bio-sensing Technologies · Electrostatics and Colloid Interactions · Nanopore and Nanochannel Transport Studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Mechanical Engineering, Ulsan National Institute of Science and Technology (UNIST), 50 UNIST-gil, Ulsan 44919, Republic of Korea
Funding
National Research Foundation of Korea
References (39)
Show source-provided references
1. 10.1021/ac050321z10.1021/ac050321z ↗
2. 10.1021/nl204504s10.1021/nl204504s ↗
3. 10.1021/ac070444e10.1021/ac070444e ↗
4. 10.1039/c0lc00633e10.1039/c0lc00633e ↗
5. 10.1021/acs.analchem.6b0031710.1021/acs.analchem.6b00317 ↗
6. 10.1039/c3ra47688j10.1039/c3ra47688j ↗
7. 10.1021/nn504418u10.1021/nn504418u ↗
8. 10.1039/C6NR06952E10.1039/C6NR06952E ↗
9. 10.1002/1522-2683(200107)22:12<2490::AID-ELPS2490>3.0.CO;2-B10.1002/1522-2683(200107)22:12<2490::AID-ELPS2490>3.0.CO;2-B ↗
10. 10.1002/elps.20060057610.1002/elps.200600576 ↗
11. 10.1021/ac702056810.1021/ac7020568 ↗
12. 10.1073/pnas.120928810910.1073/pnas.1209288109 ↗
13. 10.1038/nnano.2013.20810.1038/nnano.2013.208 ↗
14. 10.1038/srep1517010.1038/srep15170 ↗
15. 10.1021/nn304914j10.1021/nn304914j ↗
16. 10.1039/c3sm27720h10.1039/c3sm27720h ↗
17. 10.1021/la00080a02410.1021/la00080a024 ↗
18. 10.1146/annurev.fl.21.010189.00042510.1146/annurev.fl.21.010189.000425 ↗
19. 10.1038/nmat225410.1038/nmat2254 ↗
20. 10.1103/PhysRevLett.104.13830210.1103/PhysRevLett.104.138302 ↗
21. 10.1021/nn506216b10.1021/nn506216b ↗
22. 10.1073/pnas.151148411210.1073/pnas.1511484112 ↗
23. 10.1002/adma.20170151610.1002/adma.201701516 ↗
24. 10.1017/S002211208400233010.1017/S0022112084002330 ↗
25. 10.1039/C6SM00052E10.1039/C6SM00052E ↗
26. 10.1038/s41467-017-01214-y10.1038/s41467-017-01214-y ↗
27. 10.1103/PhysRevX.7.04103810.1103/PhysRevX.7.041038 ↗
28. 10.1039/C8LC00132D10.1039/C8LC00132D ↗
29. 10.1039/C7NR07669J10.1039/C7NR07669J ↗
30. 10.1021/acs.jpcb.8b1224610.1021/acs.jpcb.8b12246 ↗
31. 10.1038/ncomms724710.1038/ncomms7247 ↗
32. 10.1021/acs.analchem.5b0202810.1021/acs.analchem.5b02028 ↗
33. 10.1017/jfm.2018.61810.1017/jfm.2018.618 ↗
34. 10.1039/C8SM01360H10.1039/C8SM01360H ↗
35. 10.1016/j.colsurfa.2005.12.01310.1016/j.colsurfa.2005.12.013 ↗
36. 10.1016/j.colsurfa.2009.03.03910.1016/j.colsurfa.2009.03.039 ↗
37. 10.1021/ac061931h10.1021/ac061931h ↗
38. 10.1006/jcis.1996.030510.1006/jcis.1996.0305 ↗
39. 10.1039/C6LC00867D10.1039/C6LC00867D ↗