Surface energy transfer in hybrid halide perovskite/plasmonic Au nanoparticle composites
Source abstract
Abstract
The incorporation of plasmonic metal nanoparticles (NPs) into the multilayered architecture of perovskite solar cells (PSCs) has been a recurrent strategy to enhance the performance of photovoltaic devices from the early development of this technology. However, the specific photophysical interactions between the metal NPs and the hybrid halide perovskites are still not completely understood. Herein, we investigate the influence of Au NPs on the photoluminescence (PL) signal of a thin layer of the CH3NH3PbI3 hybrid perovskite. Core-shell Au@SiO2 NPs with a tunable thickness of the SiO2 shell were used to adjust the interaction distance between the plasmonic NPs and the perovskite layer. Complete quenching of the PL signal in the presence of the Au NPs is measured together with the gradual recovery of the PL intensity at a thicker thickness of the SiO2 shell. A nanometal surface energy transfer (NSET) model is employed to reasonably fit the experimental quenching efficiency. Thus, the energy transfer deactivation is revealed as a detrimental process occurring in the PSCs since it funnels the photon energy into the non-active excited state of the Au NPs. This work indicates that tuning the distance between the plasmonic NPs and the perovskite materials by a silica shell may be a simple and straightforward strategy for further improving the efficiency of PSCs.
Source: europepmc · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Perovskite Materials and Applications · Quantum Dots Synthesis And Properties · Chalcogenide Semiconductor Thin Films
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Departamento de Química Física y Termodinámica Aplicada, Instituto Universitario de Investigación en Química Fina y Nanoquímica, IUNAN, Universidad de Córdoba, Campus de Rabanales, Edificio Marie Curie, E-14071 Córdoba, Spain
Funding
Ministerio de Educación, Cultura y Deporte · Ministerio de Ciencia e Innovación · Secretaría de Estado de Investigación, Desarrollo e Innovación · Agencia de Innovación y Desarrollo de Andalucía
References (40)
Show source-provided references
1. Stranks · Nat. Nanotechnol. · 2015 · 10 · 39110.1038/nnano.2015.90 ↗
2. Yang · Science · 2017 · 356 · 137610.1126/science.aan2301 ↗
3. Cao · Nature · 2018 · 562 · 24910.1038/s41586-018-0576-2 ↗
4. Lin · Nature · 2018 · 562 · 24510.1038/s41586-018-0575-3 ↗
5. Wei · Nat. Photonics · 2016 · 10 · 33310.1038/nphoton.2016.41 ↗
6. He · Nat. Commun. · 2018 · 9 · 110.1038/s41467-018-04073-3 ↗
7. Eaton · Proc. Natl. Acad. Sci. U. S. A. · 2016 · 113 · 199310.1073/pnas.1600789113 ↗
8. Zhu · Nat. Mater. · 2015 · 14 · 63610.1038/nmat4271 ↗
9. Li · Appl. Catal., B · 2019 · 259 · 11807510.1016/j.apcatb.2019.118075 ↗
10. Huang · ACS Energy Lett. · 2020 · 5 · 110710.1021/acsenergylett.0c00058 ↗
11. Dey · ACS Nano · 2021 · 15 · 1077510.1021/acsnano.0c08903 ↗
12. Lu · Sci. Adv. · 2019 · 5 · 110.1126/sciadv.aay0571 ↗
13. Wang · Appl. Catal., B · 2020 · 268 · 11839910.1016/j.apcatb.2019.118399 ↗
14. Zhang · Nano Lett. · 2013 · 13 · 450510.1021/nl4024287 ↗
15. Li · Adv. Mater. · 2020 · 2000086 · 110.1002/adma.202000086 ↗
16. Mosquera · Adv. Funct. Mater. · 2020 · 30 · 110.1002/adfm.201902082 ↗
17. de Aberasturi · Adv. Opt. Mater. · 2015 · 3 · 60210.1002/adom.201500053 ↗
18. Espinosa · Sol. Energy Mater. Sol. Cells · 2015 · 137 · 30310.1016/j.solmat.2015.02.013 ↗
19. Yao · ACS Nano · 2019 · 13 · 539710.1021/acsnano.9b00135 ↗
20. Saliba · Adv. Funct. Mater. · 2015 · 25 · 503810.1002/adfm.201500669 ↗
21. Wu · J. Phys. Chem. C · 2016 · 120 · 699610.1021/acs.jpcc.6b00309 ↗
22. Carretero-Palacios · ACS Energy Lett. · 2016 · 1 · 32310.1021/acsenergylett.6b00138 ↗
23. Cui · Energy Environ. Sci. · 2020 · 13 · 174310.1039/c9ee03937f ↗
24. Li · Nanophotonics · 2020 · 9 · 311110.1515/nanoph-2020-0099 ↗
25. Carretero-Palacios · J. Phys. Chem. C · 2015 · 119 · 1863510.1021/acs.jpcc.5b06473 ↗
26. Jacak · J. Phys. Chem. C · 2019 · 123 · 3063310.1021/acs.jpcc.9b09763 ↗
27. Lu · RSC Adv. · 2015 · 5 · 1117510.1039/c4ra16385k ↗
28. Wu · Nat. Commun. · 2013 · 4 · 110.1038/ncomms3004 ↗
29. Alcocer · Science · 2013 · 342 · 34110.1126/science.1243982 ↗
30. Deng · Nano Lett. · 2021 · 21 · 152310.1021/acs.nanolett.0c05029 ↗
31. Giner-Casares · Angew. Chem., Int. Ed. · 2016 · 55 · 97410.1002/anie.201509025 ↗
32. Zhang · ACS Nano · 2012 · 6 · 928310.1021/nn303756a ↗
33. Pang · J. Phys. Chem. C · 2020 · 124 · 108810.1021/acs.jpcc.9b09040 ↗
34. Vanderkooy · ACS Appl. Mater. Interfaces · 2011 · 3 · 394210.1021/am200825f ↗
35. Liz-Marzán · Langmuir · 1996 · 7463 · 432910.1021/la9601871 ↗
36. Gao · Chem. Rev. · 2021 · 121 · 83410.1021/acs.chemrev.0c00237 ↗
37. Breshike · J. Phys. Chem. C · 2013 · 117 · 2394210.1021/jp407259r ↗
38. Kuhn · J. Chem. Phys. · 1970 · 53 · 10110.1063/1.1673749 ↗
39. Miller · Math. Proc. Cambridge Philos. Soc. · 1971 · 69 · 44910.1017/S0305004100046892 ↗
40. Jain · J. Phys. Chem. B · 2006 · 110 · 723810.1021/jp057170o ↗