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dc.contributor.author
Xu, Min  
dc.contributor.author
Shen, Jin  
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Zhu, Xin-Jun  
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Thomas, John C.  
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Clementi, Luis Alberto  
dc.contributor.author
Vega, Jorge Ruben  
dc.date.available
2017-07-14T14:50:29Z  
dc.date.issued
2017-02  
dc.identifier.citation
Xu, Min; Shen, Jin; Zhu, Xin-Jun; Thomas, John C.; Clementi, Luis Alberto; et al.; Recovery of bimodal particle size distributions with multiangle dynamic light scattering; Chinese Optical Society; Guangzi Xuebao/Acta Photonica Sinica; 46; 2; 2-2017; 1-12; 0229001  
dc.identifier.issn
1004-4213  
dc.identifier.uri
http://hdl.handle.net/11336/20502  
dc.description.abstract
By using the multi-angle dynamic light scattering measurement and the weighted constrained regularization method, the four groups simulated particle systems with bimodal distribution(100/600 nm, 200/600 nm, 300/600 nm, 350/600 nm) were measured by selecting one, three, six and ten scattering angles respectively. The results of inversion of size distribution show that, by using the weighted constrained regularization method to inverse the multi-angle dynamic light scattering data of the particle systems with bimodal distribution, the bimodal particle size distributions with a peak position ratio less than 2:1 and containing large particles(>350 nm) can be attained. This conclusion was verified by the measurement results of the standard polystyrene latex particles. The reason to attain the bimodal particle size distributions of the large particles is that, the multi-angle dynamic light scattering can provide more particle size information of large particles, the weighted constrained regularization inversion method can reduce the noise of the measurement data. Therefore, the weighted inversion of the multi-angle dynamic light scattering measurement data can achieve the measurement of the bimodal particle systems with a peak position ratio less than 2:1 and containing large particles.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Chinese Optical Society  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Dynamic Light Scattering  
dc.subject
Particle Size Distribution  
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Peak Position Ratio  
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Tikhonov Constrained Regularization  
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Weighted Constrained Regularization  
dc.subject.classification
Ingeniería de los Materiales  
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Ingeniería de los Materiales  
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INGENIERÍAS Y TECNOLOGÍAS  
dc.title
Recovery of bimodal particle size distributions with multiangle dynamic light scattering  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2017-07-10T13:10:20Z  
dc.journal.volume
46  
dc.journal.number
2  
dc.journal.pagination
1-12; 0229001  
dc.journal.pais
China  
dc.description.fil
Fil: Xu, Min. Shandong University Of Technology; China  
dc.description.fil
Fil: Shen, Jin. Shandong University Of Technology; China  
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Fil: Zhu, Xin-Jun. Tianjin Polytechnic University; China  
dc.description.fil
Fil: Thomas, John C.. Shandong University Of Technology; China  
dc.description.fil
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  
dc.description.fil
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. Universidad Tecnológica Nacional. Facultad Regional Santa Fe; Argentina  
dc.journal.title
Guangzi Xuebao/Acta Photonica Sinica  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3788/gzxb20174602.0229001  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.opticsjournal.net/Articles/Abstract?aid=OJ170223000135aGcJfM