Holographic characterization of contaminants in water: Differentiation of suspended particles in heterogeneous dispersions
| Autor: | Laura A. Philips, Jeffrey R. McCutcheon, David G. Grier, Jaroslaw M. Blusewicz, David B. Ruffner, Priya Kasimbeg, Fook Chiong Cheong, Basma I. Waisi |
|---|---|
| Přispěvatelé: | Inorganic Membranes |
| Rok vydání: | 2017 |
| Předmět: |
Environmental Engineering
Materials science Population Holography Nanotechnology 02 engineering and technology Holographic microscopy 01 natural sciences Light scattering law.invention Suspension (chemistry) 010309 optics Suspensions law 0103 physical sciences Water Pollutants Particle Size education Waste Management and Disposal Water Science and Technology Civil and Structural Engineering education.field_of_study Bacteria Ecological Modeling Emulsion Particle characterization Water 021001 nanoscience & nanotechnology Pollution Characterization (materials science) Refractometry Colloid Particle Particle size Concentration measurement 0210 nano-technology Biological system |
| Zdroj: | Water research, 122, 431-439. Elsevier |
| ISSN: | 1879-2448 0043-1354 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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