Holographic characterization of contaminants in water: Differentiation of suspended particles in heterogeneous dispersions

WATER RESEARCH

卷:122

Article

Philips, Laura A.¹  Ruffner, David B.¹  Cheong, Fook Chiong¹  Blusewicz, Jaroslaw M.¹  Kasimbeg, Priya¹  Waisi, Basma²  McCutcheon, Jeffrey R.³  Grier, David G.^4,5 

[1] Spheryx Inc, 330 E 38th St 48J, New York, NY 10016 USA

[2] Univ Twente, MESA Inst Nanotechnol, Dept Sci & Technol, Inorgan Membrane, Enschede, Netherlands

[3] Univ Connecticut, Ctr Environm Sci & Engn, Dept Chem & Biomol Engn, Storrs, CT 06269 USA

[4] NYU, Dept Phys, 4 Washington Pl, New York, NY 10003 USA

[5] NYU, Ctr Soft Matter Res, 550 1St Ave, New York, NY 10003 USA

关键词: Holographic microscopy;    Particle characterization;    Concentration measurement;    Colloid;    Emulsion;    Bacteria;   

DOI  :  10.1016/j.watres.2017.06.006

来源: Elsevier

【 摘 要 】

Determining the size distribution and composition of particles suspended in water can be challenging in heterogeneous multicomponent samples. Light scattering techniques can measure the distribution of particle sizes, but provide no basis for distinguishing different types of particles. Direct imaging techniques can categorize particles by shape, but offer few insights into their composition. Holographic characterization meets this need by directly measuring the size, refractive index, and three-dimensional position of individual particles in a suspension. The ability to measure an individual colloidal particle's refractive index is a unique capability of holographic characterization. Holographic characterization is fast enough, moreover, to build up population distribution data in real time, and to track time variations in the concentrations of different dispersed populations of particles. We demonstrate these capabilities using a model system consisting of polystyrene microbeads co-dispersed with bacteria in an oil-in-water emulsion. We also demonstrate how the holographic fingerprint of different contaminants can contribute to identifying their source. (C) 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

【 授权许可】

Free