Diameter distribution by deconvolution (DdD): Absorption spectra as a practical tool for semiconductor nanoparticle PSD determination

Semiconductor nanoparticles (SNPs) are excellent candidates for various applications in fields like solar cells, light emitting diodes or sensors. Their size strongly determines their properties, thus characterizing their size is crucial for applications. In most cases, they are included in complex...

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Autores: Onna, Diego, Perez Ipiña, Ignacio, Fernández Casafuz, Agustina, Mayoral, Álvaro, Ibarra, M. Ricardo, Bilmes, Sara A., Martínez Ricci, María Luz
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/366861
Acceso en línea:http://hdl.handle.net/10261/366861
Access Level:acceso abierto
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spelling Diameter distribution by deconvolution (DdD): Absorption spectra as a practical tool for semiconductor nanoparticle PSD determinationOnna, DiegoPerez Ipiña, IgnacioFernández Casafuz, AgustinaMayoral, ÁlvaroIbarra, M. RicardoBilmes, Sara A.Martínez Ricci, María LuzSemiconductor nanoparticles (SNPs) are excellent candidates for various applications in fields like solar cells, light emitting diodes or sensors. Their size strongly determines their properties, thus characterizing their size is crucial for applications. In most cases, they are included in complex matrices which make it difficult to determine their average diameter and statistical distribution. In this work, we present a non-destructive, cheap and in situ procedure to calculate particle size distributions (PSDs) of SNPs in different media based on deconvolution of the absorbance spectrum with a database of the absorbance spectra of SNPs with different sizes. The method was validated against the SNP sizes obtained from transmission microscopy images, showing excellent agreement between both distributions. In particular, CdS SNPs embedded in mesoporous thin films were analyzed in detail. Additional composite systems were studied in order to extend the method to SNPs in polymers or bacteria, proving that it applies to several SNPs in diverse matrices. The PSDs obtained from the proposed method do not show any statistical difference with the one derived from TEM images. Finally, a web app that implements the methodology of this work has been developed.This work was supported by Universidad de Buenos Aires (UBACyT 20020170200298B) and RECOLA (ELAC2015/T02-0830). D. O., S. A. B. and M. L. M. R are members of CONICET. The Spanish Ministry of Economy and Competitiveness (Grant No. MAT2017-82970-C2, including FEDER) and the Aragon regional government (E26), Spain. The microscopy studies were conducted in the LMA at INA, Universidad de Zaragoza. AM acknowledges the National Natural Science Foundation of China for the projects NFSC-21850410448 and NSFC-21835002.Peer reviewedRoyal Society of Chemistry (UK)Universidad de Buenos AiresConsejo Nacional de Investigaciones Científicas y Técnicas (Argentina)Ministerio de Economía y Competitividad (España)Gobierno de AragónAgencia Estatal de Investigación (España)Ministerio de Ciencia e Innovación (España)Ministerio de Ciencia, Innovación y Universidades (España)National Natural Science Foundation of China202420242019info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/366861reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MAT2017-82970-C2-1-Rinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MAT2017-82970-C2-2-RThe underlying dataset has been published as supplementary material of the article in the publisher platform at DOI 10.1039/C9NA00344Dhttps://doi.org/10.1039/C9NA00344DNoinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3668612026-05-22T06:33:51Z
dc.title.none.fl_str_mv Diameter distribution by deconvolution (DdD): Absorption spectra as a practical tool for semiconductor nanoparticle PSD determination
title Diameter distribution by deconvolution (DdD): Absorption spectra as a practical tool for semiconductor nanoparticle PSD determination
spellingShingle Diameter distribution by deconvolution (DdD): Absorption spectra as a practical tool for semiconductor nanoparticle PSD determination
Onna, Diego
title_short Diameter distribution by deconvolution (DdD): Absorption spectra as a practical tool for semiconductor nanoparticle PSD determination
title_full Diameter distribution by deconvolution (DdD): Absorption spectra as a practical tool for semiconductor nanoparticle PSD determination
title_fullStr Diameter distribution by deconvolution (DdD): Absorption spectra as a practical tool for semiconductor nanoparticle PSD determination
title_full_unstemmed Diameter distribution by deconvolution (DdD): Absorption spectra as a practical tool for semiconductor nanoparticle PSD determination
title_sort Diameter distribution by deconvolution (DdD): Absorption spectra as a practical tool for semiconductor nanoparticle PSD determination
dc.creator.none.fl_str_mv Onna, Diego
Perez Ipiña, Ignacio
Fernández Casafuz, Agustina
Mayoral, Álvaro
Ibarra, M. Ricardo
Bilmes, Sara A.
Martínez Ricci, María Luz
author Onna, Diego
author_facet Onna, Diego
Perez Ipiña, Ignacio
Fernández Casafuz, Agustina
Mayoral, Álvaro
Ibarra, M. Ricardo
Bilmes, Sara A.
Martínez Ricci, María Luz
author_role author
author2 Perez Ipiña, Ignacio
Fernández Casafuz, Agustina
Mayoral, Álvaro
Ibarra, M. Ricardo
Bilmes, Sara A.
Martínez Ricci, María Luz
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad de Buenos Aires
Consejo Nacional de Investigaciones Científicas y Técnicas (Argentina)
Ministerio de Economía y Competitividad (España)
Gobierno de Aragón
Agencia Estatal de Investigación (España)
Ministerio de Ciencia e Innovación (España)
Ministerio de Ciencia, Innovación y Universidades (España)
National Natural Science Foundation of China
description Semiconductor nanoparticles (SNPs) are excellent candidates for various applications in fields like solar cells, light emitting diodes or sensors. Their size strongly determines their properties, thus characterizing their size is crucial for applications. In most cases, they are included in complex matrices which make it difficult to determine their average diameter and statistical distribution. In this work, we present a non-destructive, cheap and in situ procedure to calculate particle size distributions (PSDs) of SNPs in different media based on deconvolution of the absorbance spectrum with a database of the absorbance spectra of SNPs with different sizes. The method was validated against the SNP sizes obtained from transmission microscopy images, showing excellent agreement between both distributions. In particular, CdS SNPs embedded in mesoporous thin films were analyzed in detail. Additional composite systems were studied in order to extend the method to SNPs in polymers or bacteria, proving that it applies to several SNPs in diverse matrices. The PSDs obtained from the proposed method do not show any statistical difference with the one derived from TEM images. Finally, a web app that implements the methodology of this work has been developed.
publishDate 2019
dc.date.none.fl_str_mv 2019
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/366861
url http://hdl.handle.net/10261/366861
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MAT2017-82970-C2-1-R
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MAT2017-82970-C2-2-R
The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI 10.1039/C9NA00344D
https://doi.org/10.1039/C9NA00344D
No
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Royal Society of Chemistry (UK)
publisher.none.fl_str_mv Royal Society of Chemistry (UK)
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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