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Statistical Analysis of Photoluminescence Decay Kinetics in Quantum Dot Ensembles: Effects of Inorganic Shell Composition and Environment
[Image: see text] Discerning the kinetics of photoluminescence (PL) decay of packed quantum dots (QDs) and QD-based hybrid materials is of crucial importance for achieving their promising potential. However, the interpretation of the decay kinetics of QD-based systems, which usually are not single-e...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9743207/ https://www.ncbi.nlm.nih.gov/pubmed/36523488 http://dx.doi.org/10.1021/acs.jpcc.2c06134 |
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author | Martins, João R. Krivenkov, Victor Bernardo, César R. Samokhvalov, Pavel Nabiev, Igor Rakovich, Yury P. Vasilevskiy, Mikhail I. |
author_facet | Martins, João R. Krivenkov, Victor Bernardo, César R. Samokhvalov, Pavel Nabiev, Igor Rakovich, Yury P. Vasilevskiy, Mikhail I. |
author_sort | Martins, João R. |
collection | PubMed |
description | [Image: see text] Discerning the kinetics of photoluminescence (PL) decay of packed quantum dots (QDs) and QD-based hybrid materials is of crucial importance for achieving their promising potential. However, the interpretation of the decay kinetics of QD-based systems, which usually are not single-exponential, remains challenging. Here, we present a method for analyzing photoluminescence (PL) decay curves of fluorophores by studying their statistical moments. A certain combination of such moments, named as the n-th order moments’ ratio, R(n), is studied for several theoretical decay curves and experimental PL kinetics of CdSe quantum dots (QDs) acquired by time-correlated single photon counting (TCSPC). For the latter, three different case studies using the R(n) ratio analysis are presented, namely, (i) the effect of the inorganic shell composition and thickness of the core–shell QDs, (ii) QD systems with Förster resonance energy transfer (FRET) decay channels, and (iii) system of QDs near a layer of plasmonic nanoparticles. The proposed method is shown to be efficient for the detection of slight changes in the PL kinetics, being time-efficient and requiring low computing power for performing the analysis. It can also be a powerful tool to identify the most appropriate physically meaningful theoretical decay function, which best describes the systems under study. |
format | Online Article Text |
id | pubmed-9743207 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-97432072022-12-13 Statistical Analysis of Photoluminescence Decay Kinetics in Quantum Dot Ensembles: Effects of Inorganic Shell Composition and Environment Martins, João R. Krivenkov, Victor Bernardo, César R. Samokhvalov, Pavel Nabiev, Igor Rakovich, Yury P. Vasilevskiy, Mikhail I. J Phys Chem C Nanomater Interfaces [Image: see text] Discerning the kinetics of photoluminescence (PL) decay of packed quantum dots (QDs) and QD-based hybrid materials is of crucial importance for achieving their promising potential. However, the interpretation of the decay kinetics of QD-based systems, which usually are not single-exponential, remains challenging. Here, we present a method for analyzing photoluminescence (PL) decay curves of fluorophores by studying their statistical moments. A certain combination of such moments, named as the n-th order moments’ ratio, R(n), is studied for several theoretical decay curves and experimental PL kinetics of CdSe quantum dots (QDs) acquired by time-correlated single photon counting (TCSPC). For the latter, three different case studies using the R(n) ratio analysis are presented, namely, (i) the effect of the inorganic shell composition and thickness of the core–shell QDs, (ii) QD systems with Förster resonance energy transfer (FRET) decay channels, and (iii) system of QDs near a layer of plasmonic nanoparticles. The proposed method is shown to be efficient for the detection of slight changes in the PL kinetics, being time-efficient and requiring low computing power for performing the analysis. It can also be a powerful tool to identify the most appropriate physically meaningful theoretical decay function, which best describes the systems under study. American Chemical Society 2022-11-22 2022-12-08 /pmc/articles/PMC9743207/ /pubmed/36523488 http://dx.doi.org/10.1021/acs.jpcc.2c06134 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Martins, João R. Krivenkov, Victor Bernardo, César R. Samokhvalov, Pavel Nabiev, Igor Rakovich, Yury P. Vasilevskiy, Mikhail I. Statistical Analysis of Photoluminescence Decay Kinetics in Quantum Dot Ensembles: Effects of Inorganic Shell Composition and Environment |
title | Statistical Analysis
of Photoluminescence Decay Kinetics
in Quantum Dot Ensembles: Effects of Inorganic Shell Composition and
Environment |
title_full | Statistical Analysis
of Photoluminescence Decay Kinetics
in Quantum Dot Ensembles: Effects of Inorganic Shell Composition and
Environment |
title_fullStr | Statistical Analysis
of Photoluminescence Decay Kinetics
in Quantum Dot Ensembles: Effects of Inorganic Shell Composition and
Environment |
title_full_unstemmed | Statistical Analysis
of Photoluminescence Decay Kinetics
in Quantum Dot Ensembles: Effects of Inorganic Shell Composition and
Environment |
title_short | Statistical Analysis
of Photoluminescence Decay Kinetics
in Quantum Dot Ensembles: Effects of Inorganic Shell Composition and
Environment |
title_sort | statistical analysis
of photoluminescence decay kinetics
in quantum dot ensembles: effects of inorganic shell composition and
environment |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9743207/ https://www.ncbi.nlm.nih.gov/pubmed/36523488 http://dx.doi.org/10.1021/acs.jpcc.2c06134 |
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