Self-Propelled Collagenase-Powered Nano/Micromotors
Source abstract
Abstract
Nano/micromotors are active matter that can self-propel and thereby outperform Brownian motion. Pioneering motors that could only move in low-viscosity, liquid environments have been outranked by more powerful examples that are able to navigate complex environments such as biological fluids, gels, or cellulose. Herein, we assemble different collagenase-powered motors devoting special attention to parameters such as the material of the core particle and its size and morphology. We assess the characteristics of their locomotion depending on the density of the fiber networks and geometrical constraints. 500 nm polystyrene core particles in diameter exhibit top velocities of up to ∼30 μm s–1, which decrease 2–3× with increasing core size, fiber density, or when changing to silica-based cores. Taken together, this effort explores the dynamics of motors within interconnected collagen networks, toward more realistic and complex scenarios where locomotion is envisioned to be beneficial.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Micro and Nano Robotics · Microfluidic and Bio-sensing Technologies · Orbital Angular Momentum in Optics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Interdisciplinary Nanoscience Center (iNANO), Aarhus University, Gustav Wieds Vej 14, 8000 Aarhus, Denmark
Sino-Danish Center for Education and Research, University of Chinese Academy of Sciences, 101408 Beijing, China
Funding
Carlsbergfondet · China Scholarship Council · Lundbeckfonden
References (22)
Show source-provided references
1. 10.1002/adfm.20190828310.1002/adfm.201908283 ↗
2. 10.1016/j.bioactmat.2020.11.02210.1016/j.bioactmat.2020.11.022 ↗
3. 10.1039/d1nr07172f10.1039/d1nr07172f ↗
4. 10.1002/adfm.20220071110.1002/adfm.202200711 ↗
5. 10.1021/acsnano.0c0521710.1021/acsnano.0c05217 ↗
6. 10.1016/j.apmt.2021.10103410.1016/j.apmt.2021.101034 ↗
7. 10.1016/j.nantod.2019.10083610.1016/j.nantod.2019.100836 ↗
8. 10.1080/1061186x.2020.179705210.1080/1061186x.2020.1797052 ↗
9. 10.1021/acsami.0c0234210.1021/acsami.0c02342 ↗
10. 10.1021/acs.langmuir.0c0288110.1021/acs.langmuir.0c02881 ↗
11. 10.1016/j.aca.2020.06.06110.1016/j.aca.2020.06.061 ↗
12. 10.1126/sciadv.aaz901410.1126/sciadv.aaz9014 ↗
13. 10.1021/acs.langmuir.9b0331510.1021/acs.langmuir.9b03315 ↗
14. 10.1021/acsnano.9b0972610.1021/acsnano.9b09726 ↗
15. 10.1126/scirobotics.abd282310.1126/scirobotics.abd2823 ↗
16. 10.1039/d0nr08853f10.1039/d0nr08853f ↗
17. 10.1016/j.bioactmat.2021.08.00410.1016/j.bioactmat.2021.08.004 ↗
18. 10.1021/acsnano.9b0686910.1021/acsnano.9b06869 ↗
19. 10.1021/ja109524h10.1021/ja109524h ↗
20. 10.1016/j.ymeth.2016.09.01610.1016/j.ymeth.2016.09.016 ↗
21. 10.1083/jcb.20130717210.1083/jcb.201307172 ↗
22. 10.1103/physreve.73.04190910.1103/physreve.73.041909 ↗