Information-weighted constrained regularization for particle size distribution recovery in multiangle dynamic light scattering

Autores
Xu, Min; Shen, Jin; Thomas, John C.; Huang, Yu; Zhu, Xinjun; Clementi, Luis Alberto; Vega, Jorge Ruben
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In particle size measurement with dynamic light scattering (DLS), it is difficult to get an accurate recovery of a bimodal particle size distribution (PSD) with a peak position ratio less than ~2:1, especially when large particles (>350nm) are present. This is due to the inherent noise in the autocorrelation function (ACF) data and the scarce utilization of PSD information during the inversion process. In this paper, the PSD information distribution in the ACF data is investigated. It was found that the initial decay section of the ACF contains more information, especially for a bimodal PSD. Based on this, an information-weighted constrained regularization (IWCR) method is proposed in this paper and applied in multiangle DLS analysis for bimodal PSD recovery. By using larger (or smaller) coefficients for weighting the ACF data, more (or less) weight can then be given to the initial part of the ACF. In this way, the IWCR method can enhance utilization of the PSD information in the ACF data, and effectively weaken the effect of noise at large delay time on PSD recovery. Using this method, bimodal PSDs (with nominal diameters of 400:608 nm, 448:608 nm, 500:600 nm) were recovered successfully from simulated data and it appears that the IWCR method can improve the recovery resolution for closely spaced bimodal particles. Results of the PSD recovery from experimental DLS data confirm the performance of this method.
Fil: Xu, Min. Shandong University Of Technology; China
Fil: Shen, Jin. Shandong University Of Technology; China
Fil: Thomas, John C.. Shandong University Of Technology; China
Fil: Huang, Yu. Group Scientific Pty Ltd; Australia
Fil: Zhu, Xinjun. Shandong University Of Technology; China
Fil: Clementi, Luis Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Vega, Jorge Ruben. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Materia
INVERSE PROBLEM
NANOPARTICLES
DLS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/86915
Acceder
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network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Information-weighted constrained regularization for particle size distribution recovery in multiangle dynamic light scatteringXu, MinShen, JinThomas, John C.Huang, YuZhu, XinjunClementi, Luis AlbertoVega, Jorge RubenINVERSE PROBLEMNANOPARTICLESDLShttps://purl.org/becyt/ford/2.5https://purl.org/becyt/ford/2In particle size measurement with dynamic light scattering (DLS), it is difficult to get an accurate recovery of a bimodal particle size distribution (PSD) with a peak position ratio less than ~2:1, especially when large particles (>350nm) are present. This is due to the inherent noise in the autocorrelation function (ACF) data and the scarce utilization of PSD information during the inversion process. In this paper, the PSD information distribution in the ACF data is investigated. It was found that the initial decay section of the ACF contains more information, especially for a bimodal PSD. Based on this, an information-weighted constrained regularization (IWCR) method is proposed in this paper and applied in multiangle DLS analysis for bimodal PSD recovery. By using larger (or smaller) coefficients for weighting the ACF data, more (or less) weight can then be given to the initial part of the ACF. In this way, the IWCR method can enhance utilization of the PSD information in the ACF data, and effectively weaken the effect of noise at large delay time on PSD recovery. Using this method, bimodal PSDs (with nominal diameters of 400:608 nm, 448:608 nm, 500:600 nm) were recovered successfully from simulated data and it appears that the IWCR method can improve the recovery resolution for closely spaced bimodal particles. Results of the PSD recovery from experimental DLS data confirm the performance of this method.Fil: Xu, Min. Shandong University Of Technology; ChinaFil: Shen, Jin. Shandong University Of Technology; ChinaFil: Thomas, John C.. Shandong University Of Technology; ChinaFil: Huang, Yu. Group Scientific Pty Ltd; AustraliaFil: Zhu, Xinjun. Shandong University Of Technology; ChinaFil: Clementi, Luis Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Vega, Jorge Ruben. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaOptical Society of America2018-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/86915Xu, Min; Shen, Jin; Thomas, John C.; Huang, Yu; Zhu, Xinjun; et al.; Information-weighted constrained regularization for particle size distribution recovery in multiangle dynamic light scattering; Optical Society of America; Optics Express; 26; 1; 1-2018; 15-311094-4087CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1364/OE.26.000015info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:28:37Zoai:ri.conicet.gov.ar:11336/86915instacron: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:34982025-10-15 14:28:38.098CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Information-weighted constrained regularization for particle size distribution recovery in multiangle dynamic light scattering
title Information-weighted constrained regularization for particle size distribution recovery in multiangle dynamic light scattering
spellingShingle Information-weighted constrained regularization for particle size distribution recovery in multiangle dynamic light scattering
Xu, Min
INVERSE PROBLEM
NANOPARTICLES
DLS
title_short Information-weighted constrained regularization for particle size distribution recovery in multiangle dynamic light scattering
title_full Information-weighted constrained regularization for particle size distribution recovery in multiangle dynamic light scattering
title_fullStr Information-weighted constrained regularization for particle size distribution recovery in multiangle dynamic light scattering
title_full_unstemmed Information-weighted constrained regularization for particle size distribution recovery in multiangle dynamic light scattering
title_sort Information-weighted constrained regularization for particle size distribution recovery in multiangle dynamic light scattering
dc.creator.none.fl_str_mv Xu, Min
Shen, Jin
Thomas, John C.
Huang, Yu
Zhu, Xinjun
Clementi, Luis Alberto
Vega, Jorge Ruben
author Xu, Min
author_facet Xu, Min
Shen, Jin
Thomas, John C.
Huang, Yu
Zhu, Xinjun
Clementi, Luis Alberto
Vega, Jorge Ruben
author_role author
author2 Shen, Jin
Thomas, John C.
Huang, Yu
Zhu, Xinjun
Clementi, Luis Alberto
Vega, Jorge Ruben
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv INVERSE PROBLEM
NANOPARTICLES
DLS
topic INVERSE PROBLEM
NANOPARTICLES
DLS
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.5
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv In particle size measurement with dynamic light scattering (DLS), it is difficult to get an accurate recovery of a bimodal particle size distribution (PSD) with a peak position ratio less than ~2:1, especially when large particles (>350nm) are present. This is due to the inherent noise in the autocorrelation function (ACF) data and the scarce utilization of PSD information during the inversion process. In this paper, the PSD information distribution in the ACF data is investigated. It was found that the initial decay section of the ACF contains more information, especially for a bimodal PSD. Based on this, an information-weighted constrained regularization (IWCR) method is proposed in this paper and applied in multiangle DLS analysis for bimodal PSD recovery. By using larger (or smaller) coefficients for weighting the ACF data, more (or less) weight can then be given to the initial part of the ACF. In this way, the IWCR method can enhance utilization of the PSD information in the ACF data, and effectively weaken the effect of noise at large delay time on PSD recovery. Using this method, bimodal PSDs (with nominal diameters of 400:608 nm, 448:608 nm, 500:600 nm) were recovered successfully from simulated data and it appears that the IWCR method can improve the recovery resolution for closely spaced bimodal particles. Results of the PSD recovery from experimental DLS data confirm the performance of this method.
Fil: Xu, Min. Shandong University Of Technology; China
Fil: Shen, Jin. Shandong University Of Technology; China
Fil: Thomas, John C.. Shandong University Of Technology; China
Fil: Huang, Yu. Group Scientific Pty Ltd; Australia
Fil: Zhu, Xinjun. Shandong University Of Technology; China
Fil: Clementi, Luis Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Vega, Jorge Ruben. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
description In particle size measurement with dynamic light scattering (DLS), it is difficult to get an accurate recovery of a bimodal particle size distribution (PSD) with a peak position ratio less than ~2:1, especially when large particles (>350nm) are present. This is due to the inherent noise in the autocorrelation function (ACF) data and the scarce utilization of PSD information during the inversion process. In this paper, the PSD information distribution in the ACF data is investigated. It was found that the initial decay section of the ACF contains more information, especially for a bimodal PSD. Based on this, an information-weighted constrained regularization (IWCR) method is proposed in this paper and applied in multiangle DLS analysis for bimodal PSD recovery. By using larger (or smaller) coefficients for weighting the ACF data, more (or less) weight can then be given to the initial part of the ACF. In this way, the IWCR method can enhance utilization of the PSD information in the ACF data, and effectively weaken the effect of noise at large delay time on PSD recovery. Using this method, bimodal PSDs (with nominal diameters of 400:608 nm, 448:608 nm, 500:600 nm) were recovered successfully from simulated data and it appears that the IWCR method can improve the recovery resolution for closely spaced bimodal particles. Results of the PSD recovery from experimental DLS data confirm the performance of this method.
publishDate 2018
dc.date.none.fl_str_mv 2018-01
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/11336/86915
Xu, Min; Shen, Jin; Thomas, John C.; Huang, Yu; Zhu, Xinjun; et al.; Information-weighted constrained regularization for particle size distribution recovery in multiangle dynamic light scattering; Optical Society of America; Optics Express; 26; 1; 1-2018; 15-31
1094-4087
CONICET Digital
CONICET
url http://hdl.handle.net/11336/86915
identifier_str_mv Xu, Min; Shen, Jin; Thomas, John C.; Huang, Yu; Zhu, Xinjun; et al.; Information-weighted constrained regularization for particle size distribution recovery in multiangle dynamic light scattering; Optical Society of America; Optics Express; 26; 1; 1-2018; 15-31
1094-4087
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1364/OE.26.000015
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
application/pdf
dc.publisher.none.fl_str_mv Optical Society of America
publisher.none.fl_str_mv Optical Society of America
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str 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
_version_ 1846082750959845376
score 13.22299

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