journal article·2020-09-25

Kinetic and Thermodynamic Hysteresis in Clustering of Gold Nanoparticles: Implications for Nanotransducers and Information Storage in Dynamic Systems

Joscha Kruse, Stefan Merkens, Andrey Chuvilin, Marek Grzelczak

ACS Applied Nano Materials· Volume 3· Issue 9
Publisher page

Abstract

Hysteresis is an essential attribute of many solid-state devices and biological processes, yet it is often overlooked in colloidal and soft-matter dynamic systems. Herein, we show that gold nanoparticles can remain dispersed or aggregated at the same temperature depending on the trajectory of applied stimulus, featuring hysteretic behavior. Aided by real-time analytics and fine-tuning of experimental parameters, such as salt concentration, nanoparticle diameter, and surface potential, we disentangled the kinetic (rate-dependent) and thermodynamic (rate-independent) components of hysteresis in cyclic clustering of nanoparticles. The hysteresis originates from the difference in the aggregation and disassembly temperatures. Our findings enrich the repertoire of the experimental framework with potential for stimuli-sensitive nanotransducers, information storage, switchable catalysis, or autonomous chemical networks with feedback loops.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Gold and Silver Nanoparticles Synthesis and Applications · Spectroscopy and Quantum Chemical Studies · Advanced Thermodynamics and Statistical Mechanics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Centro de Física de Materiales CSIC-UPV/EHU and Donostia International Physics Center (DIPC), Paseo Manuel de Lardizabal 5, 20018 Donostia - San Sebastián, Spain

CIC nanoGUNE BRTA, Tolosa Hiribidea 76, 20018 Donostia - San Sebastián, Spain

Ikerbasque, Basque Foundation for Science, 48013 Bilbao, Spain

Funding

Eusko Jaurlaritza · Secretar?a de Estado de Investigaci?n, Desarrollo e Innovaci?n

References (39)

Show source-provided references
1. 10.1126/science.280.5365.89510.1126/science.280.5365.895 ↗
2. 10.1038/ncb95410.1038/ncb954 ↗
3. 10.1016/j.cell.2004.07.02410.1016/j.cell.2004.07.024 ↗
4. 10.1016/j.cell.2008.11.05110.1016/j.cell.2008.11.051 ↗
5. 10.1115/1.400711210.1115/1.4007112 ↗
6. 10.1038/nnano.2016.11610.1038/nnano.2016.116 ↗
7. 10.1039/C7CS00089H10.1039/C7CS00089H ↗
8. 10.1021/acs.jpcc.5b1168710.1021/acs.jpcc.5b11687 ↗
9. 10.1039/C8CS00787J10.1039/C8CS00787J ↗
10. 10.1039/C9CP02463H10.1039/C9CP02463H ↗
11. 10.1021/jacs.9b0200410.1021/jacs.9b02004 ↗
12. 10.1038/s41467-019-11260-310.1038/s41467-019-11260-3 ↗
13. 10.1021/jz100406w10.1021/jz100406w ↗
14. 10.1021/acsnano.5b0677010.1021/acsnano.5b06770 ↗
15. 10.1103/PhysRevLett.109.12830210.1103/PhysRevLett.109.128302 ↗
16. 10.1103/PhysRevE.87.06231310.1103/PhysRevE.87.062313 ↗
17. 10.1021/jp300650c10.1021/jp300650c ↗
18. 10.1039/C7ME00020K10.1039/C7ME00020K ↗
19. 10.1021/jp072012d10.1021/jp072012d ↗
20. 10.1002/macp.20140049710.1002/macp.201400497 ↗
21. 10.1021/la703018p10.1021/la703018p ↗
22. 10.1021/jp056675b10.1021/jp056675b ↗
23. 10.1002/macp.20050026810.1002/macp.200500268 ↗
24. 10.1016/j.eurpolymj.2019.02.00910.1016/j.eurpolymj.2019.02.009 ↗
25. 10.1039/B916125B10.1039/B916125B ↗
26. 10.1002/chem.20170582010.1002/chem.201705820 ↗
27. 10.1021/jp805649310.1021/jp8056493 ↗
28. 10.3390/mi1010068010.3390/mi10100680 ↗
29. 10.1038/nature1122310.1038/nature11223 ↗
30. 10.1038/nature1977610.1038/nature19776 ↗
31. 10.1002/anie.20090111910.1002/anie.200901119 ↗
32. 10.1002/anie.20120181610.1002/anie.201201816 ↗
33. 10.1088/1742-6596/28/1/01710.1088/1742-6596/28/1/017 ↗
34. 10.1021/acsnano.5b0408310.1021/acsnano.5b04083 ↗
35. 10.1021/la010530o10.1021/la010530o ↗
36. 10.1021/la203451p10.1021/la203451p ↗
37. 10.1039/C4RA05035E10.1039/C4RA05035E ↗
38. 10.1021/acs.jpclett.5b0081610.1021/acs.jpclett.5b00816 ↗
39. 10.1021/jacs.8b0646410.1021/jacs.8b06464 ↗