Literature DB >> 11446788

Multiple Light Scattering by Spherical Particle Systems and Its Dependence on Concentration: A T-Matrix Study.

Arturo Quirantes1, Francisco Arroyo, Jesús Quirantes-Ros.   

Abstract

The T-matrix method has been used to calculate scattering cross-sections of two spherical particles close to each other. By comparing our results with those expected for infinite distance, we can determine the maximum distance required to produce interparticle light-scattering interactions. As a result, we can determine the degree of dilution needed in a particle suspension to remain within the single-scattering approximation. Cross sections have been calculated for a relative refractive index m=1.2 and a range of particle sizes and separations. Since the approach in this paper assumes double scattering as the first mechanism for beginning multiple scattering, our results will be compared with those arising from the condition that the optical depth is less than unity, tau<1. It is shown that this condition, widely used in transfer theory, is more restrictive than ours except for the smallest particles, where double scattering becomes the main agent for multiple scattering. Copyright 2001 Academic Press.

Year:  2001        PMID: 11446788     DOI: 10.1006/jcis.2001.7641

Source DB:  PubMed          Journal:  J Colloid Interface Sci        ISSN: 0021-9797            Impact factor:   8.128


  3 in total

1.  T-matrix-based inverse algorithm for morphologic characterization of nonspherical particles using multispectral diffuse optical tomography.

Authors:  M Reza Hajihashemi; Huabei Jiang
Journal:  Appl Opt       Date:  2011-07-20       Impact factor: 1.980

2.  Nanoparticles And Human Saliva: A Step Towards Drug Delivery Systems For Dental And Craniofacial Biomaterials.

Authors:  Rafal Pokrowiecki; Jacek Wojnarowicz; Tomasz Zareba; Iwona Koltsov; Witold Lojkowski; Stefan Tyski; Agnieszka Mielczarek; Pawel Zawadzki
Journal:  Int J Nanomedicine       Date:  2019-11-27

3.  An ultra-compact particle size analyser using a CMOS image sensor and machine learning.

Authors:  Rubaiya Hussain; Mehmet Alican Noyan; Getinet Woyessa; Rodrigo R Retamal Marín; Pedro Antonio Martinez; Faiz M Mahdi; Vittoria Finazzi; Thomas A Hazlehurst; Timothy N Hunter; Tomeu Coll; Michael Stintz; Frans Muller; Georgios Chalkias; Valerio Pruneri
Journal:  Light Sci Appl       Date:  2020-02-12       Impact factor: 17.782

  3 in total

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