journal article·2024-08Open access

Enabling three-dimensional real-space analysis of ionic colloidal crystallization

Shihao Zang, Adam W. Hauser, Sanjib Paul, Glen M. Hocky, Stefano Sacanna

Nature Materials· Volume 23· Issue 8

Abstract

Structures of molecular crystals are identified using scattering techniques because we cannot see inside them. Micrometre-sized colloidal particles enable the real-time observation of crystallization with optical microscopy, but in practice this is still hampered by a lack of 'X-ray vision'. Here we introduce a system of index-matched fluorescently labelled colloidal particles and demonstrate the robust formation of ionic crystals in aqueous solution, with structures that can be controlled by size ratio and salt concentration. Full three-dimensional coordinates of particles are distinguished through in situ confocal microscopy, and the crystal structures are identified via comparison of their simulated scattering pattern with known atomic arrangements. Finally, we leverage our ability to look inside colloidal crystals to observe the motion of defects and crystal melting in time and space and to reveal the origin of crystal twinning. Using this platform, the path to real-time analysis of ionic colloidal crystallization is now 'crystal clear'.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Material Dynamics and Properties · Geochemistry and Geologic Mapping

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References (37)

Show source-provided references
1. Libbrecht, K. G. The physics of snow crystals. Rep. Prog. Phys. 68, 855–895 (2005).10.1088/0034-4885/68/4/R03 ↗
2. Hueckel, T., Hocky, G. M. & Sacanna, S. Total synthesis of colloidal matter. Nat. Rev. Mater. 6, 1053–1069 (2021).10.1038/s41578-021-00323-x ↗
3. Leunissen, M. E. et al. Ionic colloidal crystals of oppositely charged particles. Nature 437, 235–240 (2005).10.1038/nature03946 ↗
4. van der Wee, E. B. et al. 3D test sample for the calibration and quality control of stimulated emission depletion (STED) and confocal microscopes. Commun. Biol. 4, 909 (2021).10.1038/s42003-021-02432-3 ↗
5. Liu, Y. et al. Colloidal organosilica spheres for three-dimensional confocal microscopy. Langmuir 35, 7962–7969 (2019).10.1021/acs.langmuir.9b00963 ↗
6. Kodger, T. E., Guerra, R. E. & Sprakel, J. Precise colloids with tunable interactions for confocal microscopy. Sci. Rep. 5, 14635 (2015).10.1038/srep14635 ↗
7. Muluneh, M. Direct visualization of three-dimensional crystallization behavior in microgels. Phys. Rev. E 85, 021405 (2012).10.1103/PhysRevE.85.021405 ↗
8. Schall, P., Cohen, I., Weitz, D. A. & Spaepen, F. Visualization of dislocation dynamics in colloidal crystals. Science 305, 1944–1948 (2004).10.1126/science.1102186 ↗
9. Schall, P., Cohen, I., Weitz, D. A. & Spaepen, F. Visualizing dislocation nucleation by indenting colloidal crystals. Nature 440, 319–323 (2006).10.1038/nature04557 ↗
10. de Villeneuve, V. W. A. et al. Colloidal hard-sphere crystal growth frustrated by large spherical impurities. Science 309, 1231–1233 (2005).10.1126/science.1113207 ↗
11. Hueckel, T., Hocky, G. M., Palacci, J. & Sacanna, S. Ionic solids from common colloids. Nature 580, 487–490 (2020).10.1038/s41586-020-2205-0 ↗
12. Youssef, M., Morin, A., Aubret, A., Sacanna, S. & Palacci, J. Rapid characterization of neutral polymer brush with a conventional zetameter and a variable pinch of salt. Soft Matter 16, 4274–4282 (2020).10.1039/C9SM01850F ↗
13. Kim, A. J., Manoharan, V. N. & Crocker, J. C. Swelling-based method for preparing stable, functionalized polymer colloids. J. Am. Chem. Soc. 127, 1592–1593 (2005).10.1021/ja0450051 ↗
14. Trackpy: Fast, Flexible Particle-Tracking Toolkit (Trackpy Contributors, accessed 1 August 2023); http://soft-matter.github.io/trackpy/dev/index.html
15. Crocker, J. C. & Grier, D. G. Methods of digital video microscopy for colloidal studies. J. Colloid Interface Sci. 179, 298–310 (1996).10.1006/jcis.1996.0217 ↗
16. Blender v.4.1 (Blender Foundation, accessed 1 August 2023); https://www.blender.org/
17. Macrae, C. F. et al. Mercury 4.0: from visualization to analysis, design and prediction. J. Appl. Crystallogr. 53, 226–235 (2020).10.1107/S1600576719014092 ↗
18. Klein, C. & Dutrow, B. Manual of Mineral Science 23rd edn (Wiley, 2007)
19. Du, J. S., Zhou, W., Rupich, S. M. & Mirkin, C. A. Twin pathways: discerning the origins of multiply twinned colloidal nanoparticles. Angew. Chem. Int. Ed. 60, 6858–6863 (2021).10.1002/anie.202015166 ↗
20. Song, M. et al. Oriented attachment induces fivefold twins by forming and decomposing high-energy grain boundaries. Science 367, 40–45 (2020).10.1126/science.aax6511 ↗
21. Lee, S. & Glotzer, S. C. Entropically engineered formation of fivefold and icosahedral twinned clusters of colloidal shapes. Nat. Commun. 13, 7362 (2022).10.1038/s41467-022-34891-5 ↗
22. Chern, C. Emulsion polymerization mechanisms and kinetics. Prog. Polym. Sci. 31, 443–486 (2006).10.1016/j.progpolymsci.2006.02.001 ↗
23. Lovell, P. A. & Schork, F. J. Fundamentals of emulsion polymerization. Biomacromolecules 21, 4396–4441 (2020).10.1021/acs.biomac.0c00769 ↗
24. Shriner, R. L. & Neumann, F. W. The chemistry of the amidines. Chem. Rev. 35, 351–425 (1944).10.1021/cr60112a002 ↗
25. Fustero, S., García de la Torre, M., Pina, B. & Fuentes, A. S. New strategies for the synthesis of fluorinated vinylogous amidines and β-enamino ketones. J. Org. Chem. 64, 5551–5556 (1999).10.1021/jo990392w ↗
26. Zou, H., Liu, J. & Wang, X. Surfactant-free emulsion copolymerization of styrene and a cationic comonomer with two positively charged groups. Colloid Polym. Sci. 297, 1133–1142 (2019).10.1007/s00396-019-04521-6 ↗
27. Liu, Z., Xiao, H. & Wiseman, N. Emulsifier-free emulsion copolymerization of styrene with quaternary ammonium cationic monomers. J. Appl. Polym. Sci. 76, 1129–1140 (2000).10.1002/(SICI)1097-4628(20000516)76:7<1129::AID-APP17>3.0.CO;2-O ↗
28. Meincke, T., Jordan, M., Vogel, N. & Klupp Taylor, R. N. On the size-determining role of the comonomer in the nucleation and growth of cationic polystyrene latex via emulsion polymerization. Macromol. Chem. Phys. 219, 1700457 (2018).10.1002/macp.201700457 ↗
29. Hunter, R. J. Foundations of Colloid Science 2nd edn (Oxford Univ. Press, 2001)
30. Lu, Z., Manias, E., Lanagan, M. & Macdonald, D. Dielectric relaxation in dimethyl sulfoxide/water mixtures. ECS Trans. 28, 11 (2010).10.1149/1.3491274 ↗
31. Anderson, J. A., Glaser, J. & Glotzer, S. C. HOOMD-blue: a Python package for high-performance molecular dynamics and hard particle Monte Carlo simulations. Comput. Mater. Sci. 173, 109363 (2020).10.1016/j.commatsci.2019.109363 ↗
32. Alexander, S. Polymer adsorption on small spheres. A scaling approach. J. Phys. Fr. 38, 977–981 (1977).10.1051/jphys:01977003808097700 ↗
33. De Gennes, P.-G. Stabilité de films polymère/solvant. C. R. Acad. Sci. II 300, 839–843 (1985).
34. Kleshchanok, D., Tuinier, R. & Lang, P. R. Direct measurements of polymer-induced forces. J. Phys. Condens. Matter 20, 073101 (2008).10.1088/0953-8984/20/7/073101 ↗
35. Stukowski, A. Visualization and analysis of atomistic simulation data with OVITO—the Open Visualization Tool. Model. Simul. Mater. Sci. Eng. 18, 015012 (2009).10.1088/0965-0393/18/1/015012 ↗
36. Hocky, G. hocky-research-group/CrystalClear-2024: paper reference. Zenodo https://doi.org/10.5281/zenodo.11126870 (2024).10.5281/zenodo.11126870 ↗
37. Ramasubramani, V. et al. freud: a software suite for high throughput analysis of particle simulation data. Comput. Phys. Commun. 254, 107275 (2020).10.1016/j.cpc.2020.107275 ↗