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Ion-exchange enabled synthetic swarm

Abstract

Active matters are out-of-equilibrium systems that convert energy from the environment to mechanical motion. Non-reciprocal interaction between active matters may lead to collective intelligence beyond the capability of individuals. In nature, such emergent behaviours are ubiquitously observed in animal colonies, giving these species remarkable adaptive capability. In artificial systems, however, the emergence of non-trivial collective intelligent dynamics remains undiscovered. Here we show that a simple ion-exchange reaction can couple self-propelled ZnO nanorods and sulfonated polystyrene microbeads together. Chemical communication is established that enhances the reactivity and motion of both nanorods and the microbeads, resulting in the formation of an active swarm of nanorod–microbead complexes. We demonstrate that the swarm is capable of macroscopic phase segregation and intelligent consensus decision-making.

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Fig. 1: The exchange communication between different microswimmer species and the model system used in this study.
Fig. 2: The ion-exchange interaction between ZnO nanorod and sulfonated PS.
Fig. 3: 3D velocity field and pH profile of the ZnO nanorod–sulfonated PS system.
Fig. 4: The emergence of swarming behaviour of ZnO–sulfonated PS mixture in experiment and simulation.
Fig. 5: Sequential snapshots of macroscopic particle population of ZnO–sulfonated PS mixture in glass petri dishes.

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The data that support the plots within this paper and other findings of this study are available from the corresponding author upon reasonable request. Source data are provided with this paper.

References

  1. West, S. A., Griffin, A. S., Gardner, A. & Diggle, S. P. Social evolution theory for microorganisms. Nat. Rev. Microbiol. 4, 597–607 (2006).

    Article  CAS  Google Scholar 

  2. Reynolds, C. W. Flocks, Herds and Schools: A Distributed Behavioral Model Vol. 21 (ACM, 1987).

  3. Bialek, W. et al. Statistical mechanics for natural flocks of birds. Proc. Natl Acad. Sci. USA 109, 4786–4791 (2012).

    Article  CAS  Google Scholar 

  4. Nelson, B. J., Kaliakatsos, I. K. & Abbott, J. J. Microrobots for minimally invasive medicine. Annu. Rev. Biomed. Eng. 12, 55–85 (2010).

    Article  CAS  Google Scholar 

  5. Wang, J., Xiong, Z., Zheng, J., Zhan, X. & Tang, J. Light-driven micro/nanomotor for promising biomedical tools: principle, challenge, and prospect. Acc. Chem. Res. 51, 1957–1965 (2018).

    Article  CAS  Google Scholar 

  6. Wang, J. Nanomachines: Fundamentals and Applications (John Wiley & Sons, 2013).

  7. Singh, D. P., Choudhury, U., Fischer, P. & Mark, A. G. Non-equilibrium assembly of light-activated colloidal mixtures. Adv. Mater. 29, https://doi.org/10.1002/adma.201701328 (2017).

  8. Bechinger, C. et al. Active particles in complex and crowded environments. Rev. Mod. Phys. 88, 045006 (2016).

  9. Niu, R. & Palberg, T. Modular approach to microswimming. Soft. Matter 14, 7554–7568 (2018).

    Article  CAS  Google Scholar 

  10. Miskin, M. Z. et al. Electronically integrated, mass-manufactured, microscopic robots. Nature 584, 557–561 (2020).

    Article  CAS  Google Scholar 

  11. Handl, J. & Meyer, B. Ant-based and swarm-based clustering. Swarm. Intell. 1, 95–113 (2007).

    Article  Google Scholar 

  12. Coyte, K. Z., Schluter, J. & Foster, K. R. The ecology of the microbiome: networks, competition, and stability. Science 350, 663–666 (2015).

    Article  CAS  Google Scholar 

  13. Faust, K. & Raes, J. Microbial interactions: from networks to models. Nat. Rev. Microbiol. 10, 538–550 (2012).

    Article  CAS  Google Scholar 

  14. Mukherjee, S. & Bassler, B. L. Bacterial quorum sensing in complex and dynamically changing environments. Nat. Rev. Microbiol. 17, 371–382 (2019).

    Article  CAS  Google Scholar 

  15. Dag, S., Wang, S. & Wang, L. W. Large surface dipole moments in ZnO nanorods. Nano Lett. 11, 2348–2352 (2011).

    Article  CAS  Google Scholar 

  16. Zhou, J., Xu, N. S. & Wang, Z. L. Dissolving behavior and stability of ZnO wires in biofluids: a study on biodegradability and biocompatibility of ZnO nanostructures. Adv. Mater. 18, 2432–2435 (2006).

    Article  CAS  Google Scholar 

  17. Valtiner, M., Borodin, S. & Grundmeier, G. Stabilization and acidic dissolution mechanism of single-crystalline ZnO (0001) surfaces in electrolytes studied by in-situ AFM imaging and ex-situ LEED. Langmuir 24, 5350–5358 (2008).

    Article  CAS  Google Scholar 

  18. Dey, K. K., Bhandari, S., Bandyopadhyay, D., Basu, S. & Chattopadhyay, A. The pH taxis of an intelligent catalytic microbot. Small 9, 1916–1920 (2013).

    Article  CAS  Google Scholar 

  19. Tu, Y., Peng, F. & Wilson, D. A. Motion manipulation of micro- and nanomotors. Adv. Mater. 29, https://doi.org/10.1002/adma.201701970 (2017).

  20. Niu, R., Palberg, T. & Speck, T. Self-assembly of colloidal molecules due to self-generated flow. Phys. Rev. Lett. 119, 028001 (2017).

    Article  Google Scholar 

  21. Niu, R., Fischer, A., Palberg, T. & Speck, T. Dynamics of binary active clusters driven by ion-exchange particles. ACS Nano. 12, 10932–10938 (2018).

    Article  CAS  Google Scholar 

  22. Soto, R. & Golestanian, R. Self-assembly of catalytically active colloidal molecules: tailoring activity through surface chemistry. Phys. Rev. Lett. 112, 068301 (2014).

    Article  Google Scholar 

  23. Bricard, A., Caussin, J. B., Desreumaux, N., Dauchot, O. & Bartolo, D. Emergence of macroscopic directed motion in populations of motile colloids. Nature 503, 95–98 (2013).

    Article  CAS  Google Scholar 

  24. Vicsek, T., Czirok, A., Ben-Jacob, E., Cohen, I. I. & Shochet, O. Novel type of phase transition in a system of self-driven particles. Phys. Rev. Lett. 75, 1226–1229 (1995).

    Article  CAS  Google Scholar 

  25. Duan, W., Liu, R. & Sen, A. Transition between collective behaviors of micromotors in response to different stimuli. J. Am. Chem. Soc. 135, 1280–1283 (2013).

    Article  CAS  Google Scholar 

  26. Altemose, A. et al. Chemically controlled spatiotemporal oscillations of colloidal assemblies. Angew. Chem. Int. Ed. 56, 7817–7821 (2017).

    Article  CAS  Google Scholar 

  27. Singh, D. P. et al. Interface-mediated spontaneous symmetry breaking and mutual communication between drops containing chemically active particles. Nat. Commun. 11, 2210 (2020).

    Article  CAS  Google Scholar 

  28. Kudrolli, A., Lumay, G., Volfson, D. & Tsimring, L. S. Swarming and swirling in self-propelled polar granular rods. Phys. Rev. Lett. 100, 058001 (2008).

    Article  Google Scholar 

  29. Wensink, H. & Löwen, H. Aggregation of self-propelled colloidal rods near confining walls. Phys. Rev. E. 78, 031409 (2008).

    Article  CAS  Google Scholar 

  30. Bricard, A. et al. Emergent vortices in populations of colloidal rollers. Nat. Commun. 6, 7470 (2015).

    Article  CAS  Google Scholar 

  31. Narayan, V., Ramaswamy, S. & Menon, N. Long-lived giant number fluctuations in a swarming granular nematic. Science 317, 105–108 (2007).

    Article  CAS  Google Scholar 

  32. Whiteley, M., Diggle, S. P. & Greenberg, E. P. Progress in and promise of bacterial quorum sensing research. Nature 551, 313–320 (2017).

    Article  CAS  Google Scholar 

  33. Peng, C., Turiv, T., Guo, Y., Wei, Q.-H. & Lavrentovich, O. D. Command of active matter by topological defects and patterns. Science 354, 882–885 (2016).

    Article  CAS  Google Scholar 

  34. Park, S. et al. Motion to form a quorum. Science 301, 188 (2003).

    Article  CAS  Google Scholar 

  35. Bauerle, T., Fischer, A., Speck, T. & Bechinger, C. Self-organization of active particles by quorum sensing rules. Nat. Commun. 9, 3232 (2018).

    Article  Google Scholar 

  36. Solon, A. P. et al. Pressure is not a state function for generic active fluids. Nat. Phys. 11, 673–678 (2015).

    Article  CAS  Google Scholar 

  37. Pratt, S. C., Mallon, E. B., Sumpter, D. J. & Franks, N. R. Quorum sensing, recruitment, and collective decision-making during colony emigration by the ant Leptothorax albipennis. Behav. Ecol. Sociobiol. 52, 117–127 (2002).

    Article  Google Scholar 

  38. Visscher, P. K. & Camazine, S. Collective decisions and cognition in bees. Nature 397, 400–400 (1999).

    Article  CAS  Google Scholar 

  39. Needleman, D. & Dogic, Z. Active matter at the interface between materials science and cell biology. Nat. Rev. Mater. 2, 17048 (2017).

  40. Greene, L. E. et al. Low-temperature wafer-scale production of ZnO nanowire arrays. Angew. Chem. Int. Ed. 42, 3031–3034 (2003).

    Article  CAS  Google Scholar 

  41. Wang, Y. et al. Synthetic strategies toward DNA-coated colloids that crystallize. J. Am. Chem. Soc. 137, 10760–10766 (2015).

    Article  CAS  Google Scholar 

  42. Qi, G. et al. Facile and scalable synthesis of monodispersed spherical capsules with a mesoporous shell. Chem. Mater. 22, 2693–2695 (2010).

    Article  CAS  Google Scholar 

  43. Gibson, H. W. & Bailey, F. C. Chemical modification of polymers. 13. Sulfonation of polystyrene surfaces. Macromolecules 13, 34–41 (1980).

    Article  CAS  Google Scholar 

  44. Massou, S., Albigot, R. & Prats, M. Carboxyfluorescein fluorescence experiments. Biochem. Educ. 28, 171–173 (2000).

    Article  CAS  Google Scholar 

  45. Van der Wel, C. et al. Preparation of colloidal organosilica spheres through spontaneous emulsification. Langmuir 33, 8174–8180 (2017).

    Article  Google Scholar 

  46. Li, B. et al. Metal-organic framework based upon the synergy of a Bronsted acid framework and Lewis acid centers as a highly efficient heterogeneous catalyst for fixed-bed reactions. J. Am. Chem. Soc. 137, 4243–4248 (2015).

    Article  CAS  Google Scholar 

  47. Wei, W. et al. Preparation of hierarchical hollow CaCO3 particles and the application as anticancer drug carrier. J. Am. Chem. Soc. 130, 15808–15810 (2008).

    Article  CAS  Google Scholar 

Download references

Acknowledgements

This work was supported in part by the Innovation and Technology Commission (HKSAR, China) to the State Key Laboratory of Synthetic Chemistry, and the Hong Kong Research Grants Council General Research Fund (grant nos. GRF17305917, GRF17303015 and GRF17304618), the Seed Funding for Interdisciplinary Research (University of Hong Kong), the URC Strategic Research Theme on New Materials (University of Hong Kong), the Science Technology and Innovation Programme of Shenzhen (JCYJ20170818141618963), the Shenzhen-Hong Kong Innovation Circle Programme (SGDX2019081623341332) and the National Natural Science Foundation of China (no. 11874397).

Author information

Authors and Affiliations

Authors

Contributions

C.W. and J.T. conceived and designed the project. C.W., J.D., L.G. and J.L. prepared the samples. C.W., J.D. and J.T. conducted most of the measurements and analysis. X.L. helped with COMSOL simulation. M.Y. performed the coarse-grained simulation and analysis. C.W. and J.T. wrote most of the manuscript. J.D. and M.Y. participated in the manuscript revision. All authors discussed the results and commented on the manuscript.

Corresponding authors

Correspondence to Mingcheng Yang or Jinyao Tang.

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Competing interests

The authors declare no competing interests.

Additional information

Peer review information Nature Nanotechnology thanks the anonymous reviewers for their contribution to the peer review of this work.

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Supplementary information

Supplementary Information

Supplementary Figs. 1–14, Discussion and Table 1.

Supplementary Video 1

A. Self-propulsion of the ZnO nanorod in water. B. Assembly of sulfonated PS in water. C. Chemotaxis of sulfonated PS towards the Zn2+ source.

Supplementary Video 2

A. Synergistic interaction between ZnO nanorods and sulfonated PS. B. Attraction, rotation and expulsion of sulfonated PS.

Supplementary Video 3

A. Motion of sulfonated PS with an immobilized ZnO nanorod. B. The sulfonated PS depletion region formation around a ZnO nanorod. C. Interaction between a CaCO3 microcube and sulfonated PS. D. Interaction between a MIL-101 (Fe) nanoparticle and ZnO nanorod. E. Interaction between Janus Pt-TPM and a PS microsphere.

Supplementary Video 4

A. 3D pH profile near a ZnO nanorod during the interaction between a ZnO nanorod and sulfonated PS B. 3D trajectory of sulfonated PS when interacting with a ZnO nanorod fixed on the substrate.

Supplementary Video 5

A. Complex formation with an active ZnO nanorod and sulfonated PS. B. Cluster formation of ZnO nanorod–sulfonated PS. C. Attraction and alignment behaviour of free sulfonated PS. D. Large-scale swarming behaviour of the ZnO nanorod–sulfonated PS mixture.

Supplementary Video 6

A. Simulation of a ZnO–sulfonated PS system with chemical communication and electroosmosis interaction. B. Simulation of a ZnO–sulfonated PS system without chemical communication. C. Simulation of a ZnO–sulfonated PS system without electroosmosis interaction. D. Simulation of a ZnO–sulfonated PS system in circular confinement.

Supplementary Video 7

A. Phase segregation of active ZnO–sulfonated PS in a glass petri dish. B. Diffusion of passive PS microspheres in a glass petri dish. C. Active Pt-TPM Janus microspheres in a glass petri dish. D. Active ZnO nanorods in a glass petri dish. E. Phase segregation of active ZnO–sulfonated PS in a glass petri dish with 10 μM EDTA. F. Phase segregation of active ZnO–sulfonated PS in a glass petri dish with a sulfonated PS-coated quartz plate and a blank quartz plate for comparison. G. Phase segregation of active ZnO–sulfonated PS in a glass petri dish with fixed ZnO nanorods loaded agarose disc plate and a blank agarose disc for comparison.

Supplementary Video 8

Quorum decision-making of ZnO–sulfonated PS in four cookie moulds.

Source data

41565_2020_825_MOESM10_ESM.xlsx

Source Data Fig. 2 Figure 2c, The migration speed of the ZnO nanorod shown, where the shaded speed spikes correspond to the transient ZnO assembly with sulfonated PS. Figure 2e, Relationship of the speed of sulfonated PS with their separation distance from the ZnO nanorod. The error bars represent the standard deviation of the speed from multiple particles (n = 50).

Source Data Fig. 3

The power-law dependence between ion flux density and interparticle distance, where the error bars are the standard deviation of multiple sulfonated PS (n = 20).

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Wu, C., Dai, J., Li, X. et al. Ion-exchange enabled synthetic swarm. Nat. Nanotechnol. 16, 288–295 (2021). https://doi.org/10.1038/s41565-020-00825-9

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