Projects per year
Abstract
Lead halide perovskites are very promising materials for many
optoelectronic devices. They are low cost, photostable, and strongly
photoluminescent materials, but so far have been little studied for
sensing. In this article, we explore hybrid perovskites as sensors for
explosive vapor. We tune the dimensionality of perovskite films in order
to modify their exciton binding energy and film morphology and explore
the effect on sensing response. We find that tuning from the 3D to the
0D regime increases the PL quenching response of perovskite films to the
vapor of dinitrotoluene (DNT)—a molecule commonly found in landmines.
We find that films of 0D perovskite nanocrystals work as sensitive and
stable sensors, with strong PL responses to DNT molecules at
concentrations in the parts per billion range. The PL quenching response
can easily be reversed, making the sensors reusable. We compare the
response to several explosive vapors and find that the response is
strongest for DNT. These results show that hybrid perovskites have great
potential for vapor sensing applications.
Original language | English |
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Article number | 0771106 |
Number of pages | 9 |
Journal | APL Materials |
Volume | 8 |
DOIs | |
Publication status | Published - 10 Jul 2020 |
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Dive into the research topics of 'Sensing of explosive vapor by hybrid perovskites: effect of dimensionality'. Together they form a unique fingerprint.Projects
- 3 Finished
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Next Generation Perovskite Solar Cell: Next Generation Perovskite Solar Cell Structures
Harwell, J. R. (PI)
1/01/20 → 31/12/22
Project: Fellowship
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Biological Method for Explosive Detect: Biological Method (Bees) for Explosive Detection
Turnbull, G. (PI) & Gillanders, R. (CoI)
3/11/17 → 2/11/20
Project: Standard
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EPSRC IAA 2017-2020 G Turnbull: Adaptation of Landmine Detection research for Counter-IED applications; engagement with C-IED stakeholders
Turnbull, G. (PI) & Gillanders, R. (CoI)
1/10/17 → 30/11/19
Project: Standard
Datasets
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Sensing of Explosive Vapor by Hybrid Perovskites – Effect of Dimensionality (dataset)
Harwell, J. R. (Creator), Glackin, J. M. E. (Creator), Davis, N. J. L. K. (Creator), Gillanders, R. N. (Creator), Credgington, D. (Creator), Turnbull, G. (Creator) & Samuel, I. D. W. (Creator), University of St Andrews, 3 Aug 2020
DOI: 10.17630/934932a2-c721-4aff-9185-fc647ac20757
Dataset
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