journal article·2023-03-16

Nanoscale Hydrophobicity and Electrochemical Mapping Provides Insights into Facet Dependent Silver Nanoparticle Dissolution

Qingquan Ma, Joshua Young, Jianan Gao, Yi Tao, Wen Zhang

Publisher page

Abstract

Metal or metallic nanoparticle dissolution influences particle stability, reactivity, potential fate, and transport. This work investigated the dissolution behavior of silver nanoparticles (Ag NPs) in three different shapes (nanocube, nanorod, and octahedron). The hydrophobicity and electrochemical activity at the local surfaces of Ag NPs were both examined using atomic force microscopy (AFM) coupled with scanning electrochemical microscopy (AFM-SECM). The surface electrochemical activity of Ag NPs more significantly affected the dissolution than the local surface hydrophobicity did. Octahedron Ag NPs with dominant surface exposed facets of {111} dissolved faster than the other two kinds of Ag NPs. Density functional theory (DFT) calculation revealed that the {100} facet elicited greater affinities toward H 2 O than the {111} facet. Thus, poly(vinylpyrrolidone) or PVP coating on the {100} facet is critical for stabilizing and prevent the {100} facet from dissolution. Finally, COMSOL simulations demonstrated consistent shape dependent dissolution as we observed experimentally.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Electrochemical Analysis and Applications · Electrocatalysts for Energy Conversion · Advanced battery technologies research

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

Affiliations

John A. Reif, Jr. Department of Civil and Environmental Engineering, New Jersey Institute of Technology, Newark, New Jersey 07102, United States

Otto H. York Department of Chemical and Materials Engineering, New Jersey Institute of Technology, Newark, New Jersey 07102, United States

Guangdong Provincial Engineering Research Center for Urban Water Recycling and Environmental Safety, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, P. R. China

Funding

Division of Chemical, Bioengineering, Environmental, and Transport Systems · National Science Foundation · New Jersey Water Resources Research Institute

References (54)

Show source-provided references
1. 10.1021/acs.chemrev.0c0045410.1021/acs.chemrev.0c00454 ↗
2. 10.1021/acs.chemrev.0c0094010.1021/acs.chemrev.0c00940 ↗
3. 10.1002/smll.20190403110.1002/smll.201904031 ↗
4. 10.1021/es803621k10.1021/es803621k ↗
5. 10.1021/acs.langmuir.7b0312610.1021/acs.langmuir.7b03126 ↗
6. 10.3762/bjnano.6.18110.3762/bjnano.6.181 ↗
7. 10.3390/ijms2004086510.3390/ijms20040865 ↗
8. 10.1038/s41598-018-19275-410.1038/s41598-018-19275-4 ↗
9. 10.1021/acs.accounts.9b0005310.1021/acs.accounts.9b00053 ↗
10. 10.1039/C9RA08270K10.1039/C9RA08270K ↗
11. 10.1016/j.watres.2019.05.06410.1016/j.watres.2019.05.064 ↗
12. 10.1021/es104205a10.1021/es104205a ↗
13. 10.1016/j.scitotenv.2017.04.05510.1016/j.scitotenv.2017.04.055 ↗
14. 10.1021/es200157h10.1021/es200157h ↗
15. 10.1007/s11095-010-0073-210.1007/s11095-010-0073-2 ↗
16. 10.1021/es301787d10.1021/es301787d ↗
17. 10.1021/es201686j10.1021/es201686j ↗
18. 10.1021/es203475a10.1021/es203475a ↗
19. 10.1039/C5RA27836H10.1039/C5RA27836H ↗
20. 10.1021/es903555710.1021/es9035557 ↗
21. 10.1021/es400945v10.1021/es400945v ↗
22. 10.1021/acs.analchem.7b0311110.1021/acs.analchem.7b03111 ↗
23. 10.1021/nn400527u10.1021/nn400527u ↗
24. 10.1002/cssc.20170089310.1002/cssc.201700893 ↗
25. 10.1021/acs.analchem.6b0108610.1021/acs.analchem.6b01086 ↗
26. 10.1007/s13204-020-01318-w10.1007/s13204-020-01318-w ↗
27. 10.1039/C8CP04676J10.1039/C8CP04676J ↗
28. 10.1039/C7NR03772D10.1039/C7NR03772D ↗
29. Shi X. · JoVE (Journal of Visualized Experiments) · 2021 · e61111
30. 10.1007/s11051-010-0022-310.1007/s11051-010-0022-3 ↗
31. 10.1016/j.powtec.2012.07.01110.1016/j.powtec.2012.07.011 ↗
32. 10.1016/0927-0256(96)00008-010.1016/0927-0256(96)00008-0 ↗
33. 10.1103/PhysRevB.54.1116910.1103/PhysRevB.54.11169 ↗
34. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
35. 10.1103/PhysRevB.59.175810.1103/PhysRevB.59.1758 ↗
36. 10.1103/PhysRevB.50.1795310.1103/PhysRevB.50.17953 ↗
37. 10.1063/1.338234410.1063/1.3382344 ↗
38. 10.1016/j.commatsci.2005.04.01010.1016/j.commatsci.2005.04.010 ↗
39. 10.1021/acs.jpcc.8b0047810.1021/acs.jpcc.8b00478 ↗
40. 10.1002/open.20190000710.1002/open.201900007 ↗
41. 10.1021/ar700097410.1021/ar7000974 ↗
42. 10.1021/acs.est.9b0611110.1021/acs.est.9b06111 ↗
43. 10.1021/acs.nanolett.9b0464010.1021/acs.nanolett.9b04640 ↗
44. 10.1039/C9EE02485A10.1039/C9EE02485A ↗
45. 10.1016/j.ultramic.2019.05.00410.1016/j.ultramic.2019.05.004 ↗
46. 10.1016/j.nantod.2022.10153810.1016/j.nantod.2022.101538 ↗
47. 10.1016/j.envpol.2021.11692610.1016/j.envpol.2021.116926 ↗
48. 10.1021/acs.est.7b0454710.1021/acs.est.7b04547 ↗
49. 10.1021/acs.est.9b0211510.1021/acs.est.9b02115 ↗
50. 10.1016/j.partic.2019.08.00310.1016/j.partic.2019.08.003 ↗
51. 10.1002/elsa.20210016010.1002/elsa.202100160 ↗
52. 10.1016/j.electacta.2009.07.07810.1016/j.electacta.2009.07.078 ↗
53. 10.1021/acscatal.8b0045610.1021/acscatal.8b00456 ↗
54. 10.1021/jp044067a10.1021/jp044067a ↗