Sensing of Fluidic Features Using Colloidal Microswarms
Source abstract
Abstract
Sensing of key parameters in fluidic environments has attracted extensive attention because the physical features of body fluids could be used for point-of-care disease diagnosis. Although various sensing methods have been investigated, effective sensing strategies of microenvironments remains a major challenge. In this paper, we propose an approach that can realize sensing of fluidic viscosity and ionic strength using microswarms formed by simple colloidal nanoparticles. The influences of fluidic ionic strength and viscosity on two swarm behaviors are analyzed (i.e., the spreading of circular vortex-like swarms and the elongation of elliptical swarms). The data models for quantifying the fluidic viscosity and ionic strength are obtained from experiments, and the fluidic features can be sensed successfully using the swarm behaviors. Furthermore, we demonstrate that the microswarms have the capability of passing through tortuous and narrow microchannels for sensing. Continuous sensing of different fluidic environments using swarms is also realized. Finally, the sensing of viscosity and ionic strength of porcine whole blood is presented, which also validates the feasibility of the sensing strategy.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Microfluidic and Bio-sensing Technologies · Micro and Nano Robotics · Microfluidic and Capillary Electrophoresis Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen518172, China
Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), Shenzhen518129, China
Funding
Science, Technology and Innovation Commission of Shenzhen Municipality · National Natural Science Foundation of China · Chinese University of Hong Kong · Shenzhen Institute of Artificial Intelligence and Robotics for Society
References (43)
Show source-provided references
1. 10.1126/sciadv.abi629010.1126/sciadv.abi6290 ↗
2. 10.1126/sciadv.abj671110.1126/sciadv.abj6711 ↗
3. 10.34133/2021/890714810.34133/2021/8907148 ↗
4. 10.34133/2021/890714810.34133/2021/8907148 ↗
5. 10.3390/mi909046710.3390/mi9090467 ↗
6. 10.1186/s12883-017-0808-310.1186/s12883-017-0808-3 ↗
7. 10.1038/nnano.2016.5210.1038/nnano.2016.52 ↗
8. 10.3389/fmed.2022.87601710.3389/fmed.2022.876017 ↗
9. 10.1021/acschembio.7b0034810.1021/acschembio.7b00348 ↗
10. 10.1016/j.cell.2015.12.03110.1016/j.cell.2015.12.031 ↗
11. 10.1038/s41566-021-00798-810.1038/s41566-021-00798-8 ↗
12. 10.1038/s41592-018-0015-110.1038/s41592-018-0015-1 ↗
13. 10.3390/s2116554310.3390/s21165543 ↗
14. 10.1021/acs.jpcb.9b1049810.1021/acs.jpcb.9b10498 ↗
15. 10.1016/j.bpj.2021.01.03510.1016/j.bpj.2021.01.035 ↗
16. 10.1016/j.sbsr.2015.05.00310.1016/j.sbsr.2015.05.003 ↗
17. 10.1016/j.optcom.2017.05.03410.1016/j.optcom.2017.05.034 ↗
18. 10.3390/mi1110093410.3390/mi11100934 ↗
19. 10.1021/acssensors.0c0201510.1021/acssensors.0c02015 ↗
20. 10.1016/j.snb.2021.13094010.1016/j.snb.2021.130940 ↗
21. 10.1371/journal.pone.026031110.1371/journal.pone.0260311 ↗
22. 10.1002/advs.20200006910.1002/advs.202000069 ↗
23. 10.34133/2021/980752010.34133/2021/9807520 ↗
24. 10.1021/acsnano.1c0783010.1021/acsnano.1c07830 ↗
25. 10.1021/acsnano.1c0761510.1021/acsnano.1c07615 ↗
26. 10.1038/s41467-020-20697-w10.1038/s41467-020-20697-w ↗
27. 10.1126/sciadv.abm575210.1126/sciadv.abm5752 ↗
28. 10.1103/PhysRevLett.102.11810310.1103/PhysRevLett.102.118103 ↗
29. 10.1038/nmat308310.1038/nmat3083 ↗
30. 10.1109/TRO.2019.294672410.1109/TRO.2019.2946724 ↗
31. 10.1109/TMECH.2018.287661710.1109/TMECH.2018.2876617 ↗
32. 10.1177/027836491878436610.1177/0278364918784366 ↗
33. 10.1109/ICRA40945.2020.919701010.1109/ICRA40945.2020.9197010 ↗
34. 10.1109/TRO.2021.313043210.1109/TRO.2021.3130432 ↗
35. 10.1109/TBME.2020.298704510.1109/TBME.2020.2987045 ↗
36. 10.1016/j.envres.2017.10.04510.1016/j.envres.2017.10.045 ↗
37. 10.1021/acsnano.0c0599210.1021/acsnano.0c05992 ↗
38. Israelachvili J. · 2011
39. 10.1016/j.jcis.2014.06.02810.1016/j.jcis.2014.06.028 ↗
40. 10.1109/TRO.2017.269399910.1109/TRO.2017.2693999 ↗
41. 10.1038/s41467-019-13576-610.1038/s41467-019-13576-6 ↗
42. 10.1021/acsnano.9b0874510.1021/acsnano.9b08745 ↗
43. 10.1021/acsnano.0c0591210.1021/acsnano.0c05912 ↗