{"title":"Mixtures of 3D disperse systems with nano- and micro-particles: Optical characterization","authors":"Alexandra G. Bezrukova, Olga L. Vlasova","doi":"10.1016/j.spjpm.2016.11.004","DOIUrl":null,"url":null,"abstract":"<div><p>Multiparameter analysis of simultaneous optical data for systems of nano- and/or micro-particles (3D disperse systems, dispersions, colloids, ensembles) by presentation of system characteristics as <em>N</em>-dimensional vectors of optical parameters (<em>N</em>D-vectors) can help to elucidate changes in the state of the particles in systems. In this paper, the application of the <em>N</em>D-vector approach is shown on the examples of dispersion mixtures: a mixture of influenza virus particles with albumin proteins (as a model of dispersions at the process of vaccine production); a mixture of coli bacillus and clay dispersions (as natural water model). This approach can serve as an on-line control platform for the management of technological processes with mixtures.</p></div>","PeriodicalId":41808,"journal":{"name":"St Petersburg Polytechnic University Journal-Physics and Mathematics","volume":null,"pages":null},"PeriodicalIF":0.2000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.spjpm.2016.11.004","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"St Petersburg Polytechnic University Journal-Physics and Mathematics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2405722316301554","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 3
Abstract
Multiparameter analysis of simultaneous optical data for systems of nano- and/or micro-particles (3D disperse systems, dispersions, colloids, ensembles) by presentation of system characteristics as N-dimensional vectors of optical parameters (ND-vectors) can help to elucidate changes in the state of the particles in systems. In this paper, the application of the ND-vector approach is shown on the examples of dispersion mixtures: a mixture of influenza virus particles with albumin proteins (as a model of dispersions at the process of vaccine production); a mixture of coli bacillus and clay dispersions (as natural water model). This approach can serve as an on-line control platform for the management of technological processes with mixtures.
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