journal article·2022-04-26

Directional Doping and Cocrystallizing an Open-Shell Ag39 Superatom via Precursor Engineering

Xiao-Hong Ma, Yubing Si, Lan-Lan Luo, Zhao-Yang Wang, Shuang-Quan Zang, Thomas C. W. Mak

ACS Nano· Volume 16· Issue 4
Publisher page

Abstract

Metal precursors employed in the bottom-up synthesis of metal nanoclusters (NCs) are of great importance in directing their composition and geometrical structure. In this work, a silver nanocluster co-protected by phosphine and thiolate, namely, [Ag39(PFBT)24(TPP)8]2– (Ag39, PFBT = pentafluorobenzenethiol, TPP = triphenylphosphine), was isolated and structurally characterized. It adopts a three-layered Ag13@Ag18@Ag8S24P8 core–shell structure. The Ag13@Ag18 kernel is unusual in multilayer noble metal NCs. By introducing a copper precursor in the synthesis, a bimetallic nanocluster [Ag37Cu2(PFBT)24(TPP)8]2– (Ag37Cu2) with an identical structure to Ag39 apart from two outer Ag atoms being substituted by Cu atoms was obtained. Astoundingly, the Cu precursor used in the synthesis was found to be critical in determining the final structure. The alteration of the Cu precursor led to the cocrystallization of the above alloy nanocluster with a Ag14 nanocluster, namely, [Ag37Cu2(PFBT)24(TPP)8]2–·[Ag14(PFBT)6(TPP)8] (Ag37Cu2·Ag14). The electronic structure analyzed by theoretical calculation reveals that Ag39 is a 17-electron open-shell superatom. The optical absorption of Ag39, Ag37Cu2, and Ag37Cu2·Ag14 was compared and studied in detail. This work not only enriches the family of alloy metallic nanoclusters but also provides a metal NC-based cocrystal platform for in-depth study of its crystal growth and photophysical property.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Nanocluster Synthesis and Applications · Gold and Silver Nanoparticles Synthesis and Applications · Pharmacological Effects and Toxicity Studies

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

Affiliations

Green Catalysis Center and Henan Key Laboratory of Crystalline Molecular Functional Materials, Henan International Joint Laboratory of Tumor Theranostical Cluster Materials, College of Chemistry, Zhengzhou 450001, China

Department of Chemistry, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR 999077, China

Funding

Zhengzhou University · National Natural Science Foundation of China · Program for Innovative Research Team in Universities of Henan Province

References (77)

Show source-provided references
1. 10.1021/acs.chemrev.6b0076910.1021/acs.chemrev.6b00769 ↗
2. 10.1039/D0CS01393E10.1039/D0CS01393E ↗
3. 10.1002/anie.20160900010.1002/anie.201609000 ↗
4. 10.1021/jacs.0c0586610.1021/jacs.0c05866 ↗
5. 10.1038/s41557-019-0246-510.1038/s41557-019-0246-5 ↗
6. 10.1021/acs.accounts.8b0034910.1021/acs.accounts.8b00349 ↗
7. 10.1021/jacs.5b0167610.1021/jacs.5b01676 ↗
8. 10.1021/acs.accounts.8b0006510.1021/acs.accounts.8b00065 ↗
9. 10.1002/anie.20170909510.1002/anie.201709095 ↗
10. 10.1002/anie.20200007310.1002/anie.202000073 ↗
11. 10.1038/s41467-020-17200-w10.1038/s41467-020-17200-w ↗
12. 10.1038/nchem.271810.1038/nchem.2718 ↗
13. 10.1002/cjoc.20190031410.1002/cjoc.201900314 ↗
14. 10.1021/jacs.7b1133810.1021/jacs.7b11338 ↗
15. 10.1002/anie.20200927810.1002/anie.202009278 ↗
16. 10.1039/C6CC07825G10.1039/C6CC07825G ↗
17. 10.1039/C9CC08215H10.1039/C9CC08215H ↗
18. 10.1002/anie.20191507410.1002/anie.201915074 ↗
19. 10.1093/nsr/nwy03410.1093/nsr/nwy034 ↗
20. 10.1002/anie.20191284510.1002/anie.201912845 ↗
21. 10.1002/adfm.20130041110.1002/adfm.201300411 ↗
22. 10.1021/acsnano.9b0376710.1021/acsnano.9b03767 ↗
23. 10.1002/anie.20110029910.1002/anie.201100299 ↗
24. 10.1002/anie.20210114110.1002/anie.202101141 ↗
25. 10.1002/anie.20201482810.1002/anie.202014828 ↗
26. 10.1021/acs.jpclett.0c0222710.1021/acs.jpclett.0c02227 ↗
27. 10.1021/acsnano.0c0100010.1021/acsnano.0c01000 ↗
28. 10.1002/anie.20210096510.1002/anie.202100965 ↗
29. 10.1002/anie.20201669210.1002/anie.202016692 ↗
30. 10.1021/jacs.9b0325710.1021/jacs.9b03257 ↗
31. 10.1021/jacs.6b1187510.1021/jacs.6b11875 ↗
32. 10.1021/jacs.9b0625410.1021/jacs.9b06254 ↗
33. 10.1021/acs.accounts.8b0032710.1021/acs.accounts.8b00327 ↗
34. 10.1002/anie.20180126110.1002/anie.201801261 ↗
35. 10.1021/jacs.1c0556810.1021/jacs.1c05568 ↗
36. 10.1073/pnas.191271911610.1073/pnas.1912719116 ↗
37. 10.1002/anie.20160026710.1002/anie.201600267 ↗
38. 10.1021/acsnano.0c0508210.1021/acsnano.0c05082 ↗
39. 10.1063/1.189822310.1063/1.1898223 ↗
40. 10.1021/jacs.5b0542210.1021/jacs.5b05422 ↗
41. 10.1021/jacs.6b0810010.1021/jacs.6b08100 ↗
42. 10.1002/smll.20200398110.1002/smll.202003981 ↗
43. 10.1002/jps.2057810.1002/jps.20578 ↗
44. 10.1021/jacs.6b0900710.1021/jacs.6b09007 ↗
45. 10.1021/jacs.5b0940110.1021/jacs.5b09401 ↗
46. 10.1038/s41586-021-03564-610.1038/s41586-021-03564-6 ↗
47. 10.1021/jacs.7b1277710.1021/jacs.7b12777 ↗
48. 10.1021/jacs.0c0568510.1021/jacs.0c05685 ↗
49. 10.1021/jacs.9b0300910.1021/jacs.9b03009 ↗
50. 10.1002/anie.20201368110.1002/anie.202013681 ↗
51. 10.1038/s41467-018-05584-910.1038/s41467-018-05584-9 ↗
52. 10.1002/anie.20180946910.1002/anie.201809469 ↗
53. 10.1038/s41467-018-04837-x10.1038/s41467-018-04837-x ↗
54. 10.1021/acsnano.9b0674010.1021/acsnano.9b06740 ↗
55. 10.1126/sciadv.aax786310.1126/sciadv.aax7863 ↗
56. 10.1002/anie.20181077210.1002/anie.201810772 ↗
57. 10.1039/D1NR00721A10.1039/D1NR00721A ↗
58. 10.1002/anie.20190083110.1002/anie.201900831 ↗
59. 10.1007/s10876-018-1353-y10.1007/s10876-018-1353-y ↗
60. 10.1038/s41467-021-21131-510.1038/s41467-021-21131-5 ↗
61. 10.1021/jacs.5b0454710.1021/jacs.5b04547 ↗
62. 10.1021/jacs.6b0548210.1021/jacs.6b05482 ↗
63. 10.1021/jacs.0c0054110.1021/jacs.0c00541 ↗
64. 10.1073/pnas.080100110510.1073/pnas.0801001105 ↗
65. 10.1038/s41467-018-03136-910.1038/s41467-018-03136-9 ↗
66. 10.1039/C8NR07714B10.1039/C8NR07714B ↗
67. 10.1021/acs.inorgchem.9b0154510.1021/acs.inorgchem.9b01545 ↗
68. 10.1039/C2CC37347E10.1039/C2CC37347E ↗
69. 10.1002/anie.20180603910.1002/anie.201806039 ↗
70. 10.1002/chem.20200044710.1002/chem.202000447 ↗
71. Frisch, M. J.; Trucks, G. W. H.; Schlegel, B.; Scuseria, G. E.; Robb, M. A.; Cheeseman, J. R.; Scalmani, G.; Barone, V.; Petersson, G. A.; Nakatsuji, H. Gaussian 16, Revision A.03; Gaussian. Inc.: Wallingford, CT, 2016.
72. 10.1021/jp810292n10.1021/jp810292n ↗
73. 10.1063/1.481133110.1063/1.4811331 ↗
74. 10.1016/j.comptc.2014.02.02310.1016/j.comptc.2014.02.023 ↗
75. 10.1063/1.495960510.1063/1.4959605 ↗
76. 10.1002/jcc.2288510.1002/jcc.22885 ↗
77. 10.1016/0263-7855(96)00018-510.1016/0263-7855(96)00018-5 ↗