(233e) Development of Nano- and Micro- Particles Optical Characterization
AIChE Spring Meeting and Global Congress on Process Safety
2006
2006 Spring Meeting & 2nd Global Congress on Process Safety
Fifth World Congress on Particle Technology
Computational Process Models - Multi-scale, Real-time, PC-based, Visualizations
Wednesday, April 26, 2006 - 5:50pm to 6:10pm
Multiparametric optical analysis (MOA) can provide further progress in on-line control of processes and characterization of colloidal structures which can be considered as three-dimensional disperse systems (3D DS) with nano- and micro- particles of different nature [1 - 7]: biomedical, mineral, natural, etc. MOA includes the simultaneous analysis of 3D DS by different optical methods (refractometry, absorption, fluorescence, light scattering - integral and differential, static and dynamic, unpolarized and polarized with obtaining of light scattering matrix elements) and comparison with chemical and biological methods. We have investigated proteins, nucleoproteids, lipoproteids, liposomes, viruses, virosomes, lipid emulsions, blood substitutes, surfactants, latexes, liquid crystals, biological cells with various form and size, bacterial cells, metallic powders, clays, kimberlites, barytes, zeolites, oils, crude oils, mixtures of clay with bacterial cells, samples of natural and water-supply waters, air sediments, etc. By optical methods it is possible to determine parameters of 3D DS state (mean equivalent diameter and number of particles, mean refractive index and mass of disperse phase, number and mass distributions) and parameters of particles structure: form and thickness of shell. For the solution of inverse optical problem the fitting method with approximation of particles as homogeneous spheres, core-shell structured spheres, ellipsoids of rotation with different axial ratio, regularization procedure and methods of information - statistical theory have been applied. Taking into account optical theory and results of MOA can help to elaborate the sensing elements for on-line control of specific 3D DS. Due to the fusion of various data it is possible to solve by information-statistical theory methods the inverse optical problem on the presence of impurities (bacteria, viruses, oil, metals, etc.) in a medium. References 1. Alexandra G. Bezrukova, ?Optical investigations of disperse systems,? Progress in Colloid and Polymer Science, 93 (1993), pp.186-187. 2. Alexandra G. Bezrukova, " Development of multiparametric optical analysis for on-line environmental control ?, Proceedings of SPIE, 3107 (1997), pp.298-304. 3. Alexandra G. Bezrukova, "Optical Characterisation of Biological and Other Systems", Proceedings of Material Research Society, 711 (2002), paper FF7.9, pp.1-6. 4. Olga L. Vlasova, Alexandra G. Bezrukova, "Laser control of natural disperse systems", Proceedings of SPIE, 5127 (2003), pp.154-158. 5. Alexandra G. Bezrukova, "Multiparametric optical analysis development for control of biological micro- and nano- particles," European Cells and Materials Journal, 6, Supplement 1 (2003), p.88. 6. Alexandra G. Bezrukova, "Aggregate nanoparticles optical properties", Proceedings of SPIE, 5400 (2004), pp.189-191. 7. Alexandra G. Bezrukova, "Nondestructive optical testing of 3D disperse systems with micro- and nano- particles", Proceedings of SPIE, 5831 (2005), in press.
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