Diameter distribution by deconvolution (DdD): Absorption spectra as a practical tool for semiconductor nanoparticle PSD determination
- Autores
- Onna, Diego Ariel; Perez Ipiña, Ignacio Martin; Fernández Casafuz, Agustina; Mayoral, Álvaro; Ibarra García, M. Ricardo; Aldabe, Sara Alfonsina; Martinez Ricci, Maria Luz
- Año de publicación
- 2019
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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.
Fil: Onna, Diego Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Química, Física de los Materiales, Medioambiente y Energía. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Química, Física de los Materiales, Medioambiente y Energía; Argentina
Fil: Perez Ipiña, Ignacio Martin. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Fernández Casafuz, Agustina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina
Fil: Mayoral, Álvaro. Shanghai Tech University; China. Universidad de Zaragoza; España
Fil: Ibarra García, M. Ricardo. Universidad de Zaragoza; España
Fil: Aldabe, Sara Alfonsina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Química, Física de los Materiales, Medioambiente y Energía. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Química, Física de los Materiales, Medioambiente y Energía; Argentina
Fil: Martinez Ricci, Maria Luz. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Química, Física de los Materiales, Medioambiente y Energía. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Química, Física de los Materiales, Medioambiente y Energía; Argentina - Materia
-
Q-dots
size distribution
exciton
mesoporous oxides - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/121648
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Diameter distribution by deconvolution (DdD): Absorption spectra as a practical tool for semiconductor nanoparticle PSD determinationOnna, Diego ArielPerez Ipiña, Ignacio MartinFernández Casafuz, AgustinaMayoral, ÁlvaroIbarra García, M. RicardoAldabe, Sara AlfonsinaMartinez Ricci, Maria LuzQ-dotssize distributionexcitonmesoporous oxideshttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Semiconductor 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.Fil: Onna, Diego Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Química, Física de los Materiales, Medioambiente y Energía. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Química, Física de los Materiales, Medioambiente y Energía; ArgentinaFil: Perez Ipiña, Ignacio Martin. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; ArgentinaFil: Fernández Casafuz, Agustina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; ArgentinaFil: Mayoral, Álvaro. Shanghai Tech University; China. Universidad de Zaragoza; EspañaFil: Ibarra García, M. Ricardo. Universidad de Zaragoza; EspañaFil: Aldabe, Sara Alfonsina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Química, Física de los Materiales, Medioambiente y Energía. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Química, Física de los Materiales, Medioambiente y Energía; ArgentinaFil: Martinez Ricci, Maria Luz. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Química, Física de los Materiales, Medioambiente y Energía. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Química, Física de los Materiales, Medioambiente y Energía; ArgentinaRoyal Society of Chemistry2019-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/121648Onna, Diego Ariel; Perez Ipiña, Ignacio Martin; Fernández Casafuz, Agustina; Mayoral, Álvaro; Ibarra García, M. Ricardo; et al.; Diameter distribution by deconvolution (DdD): Absorption spectra as a practical tool for semiconductor nanoparticle PSD determination; Royal Society of Chemistry; Nanoscale Advances; 1; 9; 7-2019; 3499-35052516-0230CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://xlink.rsc.org/?DOI=C9NA00344Dinfo:eu-repo/semantics/altIdentifier/doi/10.1039/C9NA00344Dinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:35:48Zoai:ri.conicet.gov.ar:11336/121648instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:35:49.214CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
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 Ariel Q-dots size distribution exciton mesoporous oxides |
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 Ariel Perez Ipiña, Ignacio Martin Fernández Casafuz, Agustina Mayoral, Álvaro Ibarra García, M. Ricardo Aldabe, Sara Alfonsina Martinez Ricci, Maria Luz |
author |
Onna, Diego Ariel |
author_facet |
Onna, Diego Ariel Perez Ipiña, Ignacio Martin Fernández Casafuz, Agustina Mayoral, Álvaro Ibarra García, M. Ricardo Aldabe, Sara Alfonsina Martinez Ricci, Maria Luz |
author_role |
author |
author2 |
Perez Ipiña, Ignacio Martin Fernández Casafuz, Agustina Mayoral, Álvaro Ibarra García, M. Ricardo Aldabe, Sara Alfonsina Martinez Ricci, Maria Luz |
author2_role |
author author author author author author |
dc.subject.none.fl_str_mv |
Q-dots size distribution exciton mesoporous oxides |
topic |
Q-dots size distribution exciton mesoporous oxides |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.4 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
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. Fil: Onna, Diego Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Química, Física de los Materiales, Medioambiente y Energía. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Química, Física de los Materiales, Medioambiente y Energía; Argentina Fil: Perez Ipiña, Ignacio Martin. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina Fil: Fernández Casafuz, Agustina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina Fil: Mayoral, Álvaro. Shanghai Tech University; China. Universidad de Zaragoza; España Fil: Ibarra García, M. Ricardo. Universidad de Zaragoza; España Fil: Aldabe, Sara Alfonsina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Química, Física de los Materiales, Medioambiente y Energía. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Química, Física de los Materiales, Medioambiente y Energía; Argentina Fil: Martinez Ricci, Maria Luz. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Química, Física de los Materiales, Medioambiente y Energía. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Química, Física de los Materiales, Medioambiente y Energía; Argentina |
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 |
2019-07 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/121648 Onna, Diego Ariel; Perez Ipiña, Ignacio Martin; Fernández Casafuz, Agustina; Mayoral, Álvaro; Ibarra García, M. Ricardo; et al.; Diameter distribution by deconvolution (DdD): Absorption spectra as a practical tool for semiconductor nanoparticle PSD determination; Royal Society of Chemistry; Nanoscale Advances; 1; 9; 7-2019; 3499-3505 2516-0230 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/121648 |
identifier_str_mv |
Onna, Diego Ariel; Perez Ipiña, Ignacio Martin; Fernández Casafuz, Agustina; Mayoral, Álvaro; Ibarra García, M. Ricardo; et al.; Diameter distribution by deconvolution (DdD): Absorption spectra as a practical tool for semiconductor nanoparticle PSD determination; Royal Society of Chemistry; Nanoscale Advances; 1; 9; 7-2019; 3499-3505 2516-0230 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://xlink.rsc.org/?DOI=C9NA00344D info:eu-repo/semantics/altIdentifier/doi/10.1039/C9NA00344D |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Royal Society of Chemistry |
publisher.none.fl_str_mv |
Royal Society of Chemistry |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1844613118339055616 |
score |
13.070432 |