Direct measurement of Lighthill's energetic efficiency of a minimal magnetic microswimmer
Source abstract
Abstract
The realization of artificial microscopic swimmers able to propel in viscous fluids is an emergent research field of fundamental interest and vast technological applications. For certain functionalities, the efficiency of the microswimmer in converting the input power provided through an external actuation into propulsive power output can be critical. Here we use a microswimmer composed by a self-assembled ferromagnetic rod and a paramagnetic sphere and directly determine its swimming efficiency when it is actuated by a swinging magnetic field. Using fast video recording and numerical simulations we fully characterize the dynamics of the propeller and identify the two independent degrees of freedom which allow its propulsion. We then obtain experimentally the Lighthill's energetic efficiency of the swimmer by measuring the power consumed during propulsion and the energy required to translate the propeller at the same speed. Finally, we discuss how the efficiency of our microswimmer could be increased upon suitable tuning of the different experimental parameters.
Source: openalex_inverted_index · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Micro and Nano Robotics · Microfluidic and Bio-sensing Technologies · Molecular Communication and Nanonetworks
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Departament de Física de la Matèria Condensada
Universitat de Barcelona
08028 Barcelona
Spain
Institut de Nanociència i Nanotecnologia
Departament de Ciència de Materials i Química Física
Barcelona
CECAM
Funding
H2020 European Research Council · Secretaría de Estado de Investigación, Desarrollo e Innovación · Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung · Institució Catalana de Recerca i Estudis Avançats
References (42)
Show source-provided references
1. Zhang · ACS Nano · 2010 · 4 · 622810.1021/nn101861n ↗
2. Peyer · Nanoscale · 2013 · 5 · 125910.1039/C2NR32554C ↗
3. Gao · Nanoscale · 2014 · 6 · 1048610.1039/C4NR03124E ↗
4. Nelson · Annu. Rev. Biomed. Eng. · 2010 · 12 · 5510.1146/annurev-bioeng-010510-103409 ↗
5. Peyer · Nanoscale · 2013 · 5 · 125910.1039/C2NR32554C ↗
6. Sanchez · J. Am. Chem. Soc. · 2011 · 133 · 70110.1021/ja109627w ↗
7. Li · Nano Lett. · 2015 · 15 · 707710.1021/acs.nanolett.5b03140 ↗
8. Purcell · Am. J. Phys. · 1977 · 45 · 310.1119/1.10903 ↗
9. Marchetti · Rev. Mod. Phys. · 2013 · 85 · 114310.1103/RevModPhys.85.1143 ↗
10. Bechinger · Rev. Mod. Phys. · 2016 · 88 · 04500610.1103/RevModPhys.88.045006 ↗
11. Paxton · J. Am. Chem. Soc. · 2004 · 126 · 1342410.1021/ja047697z ↗
12. Howse · Phys. Rev. Lett. · 2007 · 99 · 04810210.1103/PhysRevLett.99.048102 ↗
13. Tierno · Phys. Rev. Lett. · 2008 · 101 · 21830410.1103/PhysRevLett.101.218304 ↗
14. Zhang · Nano Lett. · 2009 · 9 · 366310.1021/nl901869j ↗
15. Snezhko · Phys. Rev. Lett. · 2009 · 102 · 11810310.1103/PhysRevLett.102.118103 ↗
16. Fischer · Nanoscale · 2011 · 3 · 55710.1039/C0NR00566E ↗
17. Volpe · Soft Matter · 2011 · 7 · 881010.1039/c1sm05960b ↗
18. Palagi · Nat. Mater. · 2016 · 15 · 64710.1038/nmat4569 ↗
19. Ostermana · Proc. Natl. Acad. Sci. U. S. A. · 2011 · 108 · 1572710.1073/pnas.1107889108 ↗
20. Shapere · J. Fluid Mech. · 1989 · 198 · 58710.1017/S0022112089000261 ↗
21. Becker · J. Fluid Mech. · 2003 · 490 · 1510.1017/S0022112003005184 ↗
22. Passov · Eur. Phys. J. E · 2012 · 35 · 7810.1140/epje/i2012-12078-9 ↗
23. Wiezel · Proc. R. Soc. A · 2016 · 472 · 2016042510.1098/rspa.2016.0425 ↗
24. Golestanian · Phys. Rev. E: Stat., Nonlinear, Soft Matter Phys. · 2008 · 77 · 03630810.1103/PhysRevE.77.036308 ↗
25. Ishimoto · Phys. Rev. E: Stat., Nonlinear, Soft Matter Phys. · 2014 · 90 · 01270410.1103/PhysRevE.90.012704 ↗
26. Raz · Phys. Rev. E: Stat., Nonlinear, Soft Matter Phys. · 2008 · 77 · 05530510.1103/PhysRevE.77.055305 ↗
27. Gutman · Phys. Rev. E: Stat., Nonlinear, Soft Matter Phys. · 2016 · 93 · 06310510.1103/PhysRevE.93.063105 ↗
28. Chattopadhyay · Proc. Natl. Acad. Sci. U. S. A. · 2006 · 103 · 1371210.1073/pnas.0602043103 ↗
29. Li · Biophys. J. · 2006 · 91 · 272610.1529/biophysj.106.080697 ↗
30. Dreyfus · Nature · 2005 · 437 · 86210.1038/nature04090 ↗
31. García-Torres · Nat. Commun. · 2018 · 9 · 166310.1038/s41467-018-04115-w ↗
32. S. Kim and S. J.Karrila , Microhydrodynamics: principles and selected applications , Courier Corporation , 2013
33. Gutman · Phys. Rev. E: Stat., Nonlinear, Soft Matter Phys. · 2014 · 90 · 01301210.1103/PhysRevE.90.013012 ↗
34. Janssen · Biosens. Bioelectron. · 2009 · 24 · 193710.1016/j.bios.2008.09.024 ↗
35. Gauger · Phys. Rev. E: Stat., Nonlinear, Soft Matter Phys. · 2006 · 74 · 02190710.1103/PhysRevE.74.021907 ↗
36. Schmidt · Phys. Rev. Lett. · 2018 · 120 · 06800410.1103/PhysRevLett.120.068004 ↗
37. Ghosh · Phys. Rev. Lett. · 2013 · 110 · 26830110.1103/PhysRevLett.110.268301 ↗
38. Martinez-Pedrero · Phys. Rev. Appl. · 2016 · 6 · 03400210.1103/PhysRevApplied.6.034002 ↗
39. Martinez-Pedrero · Soft Matter · 2016 · 12 · 368810.1039/C5SM02823J ↗
40. Weeks · J. Chem. Phys. · 1971 · 54 · 523710.1063/1.1674820 ↗
41. Blake · Proc. Cambridge Philos. Soc. · 1971 · 70 · 30310.1017/S0305004100049902 ↗
42. Bailey · Phys. Rev. E: Stat., Nonlinear, Soft Matter Phys. · 2009 · 80 · 04670710.1103/PhysRevE.80.046707 ↗