Mr. Somporn Buaprathoom Profile

Somporn Buaprathoom

Ph.D Student at Univ of Surrey

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Proceedings Article | 9 May 2012 Paper

High concentration measurement of mixed particle suspensions using simple multi-angle light scattering system

S. Buaprathoom, S. Pedley, A. D. Prins, S. Sweeney

Proceedings Volume 8439, 843923 (2012) https://doi.org/10.1117/12.922287

KEYWORDS: Particles, Light scattering, Statistical modeling, Calibration, Scattering, Signal detection, Data modeling, Latex, Multiple scattering, Semiconductor lasers

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A simple multiple-angle light scattering system was developed for the differential measurement of particle concentrations in suspension even in high concentration where multiple scattering effects are significant based on size. The system combines multiple-angle detection to collect scattered angle dependent light intensities, and Partial Least Square Regression method (PLS-R) to compose the predictive models for analyzing scattered signal obtain concentrations of samples under investigation. The system was designed to be simple, portable and inexpensive. It employs a diode lasers (red AlGaInP-based) as a light source and a silicon photodiode as a detector and optical components, all of which are readily available. The technique was validated using 1.1 μm and 3.0μm polystyrene latex beads in both mono-dispersed and poly-dispersed suspensions. The measurement results showed good agreement between the measured results and reference values. Their deviations from the reference values are 2.4% and 1.5% relating to references' concentrations of 1.3×10⁸ and 1.2times;10⁷ particles/ml for 1.1 m and 3.0 μm in mono-dispersed solutions and 2.3 % and 3.5% relating to references' concentrations of 1.1times;10⁸ and 4.4 times;10⁵ particles/ml for 1.1 μm and 3.0 μm in mixed solutions, respectively. This system is a compact but high performance system allowing multiple particle sizes in high concentration to be measured simultaneously.

Proceedings Article | 8 May 2012 Paper

Dual wavelength multiple-angle light scattering system for cryptosporidium detection

S. Buaprathoom, S. Pedley, S. Sweeney

Proceedings Volume 8427, 84272K (2012) https://doi.org/10.1117/12.921661

KEYWORDS: Light scattering, Scattering, Particles, Water, Refractive index, Data modeling, Calibration, Signal detection, Optical spheres, Laser scattering

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A simple, dual wavelength, multiple-angle, light scattering system has been developed for detecting cryptosporidium suspended in water. Cryptosporidium is a coccidial protozoan parasite causing cryptosporidiosis; a diarrheal disease of varying severity. The parasite is transmitted by ingestion of contaminated water, particularly drinking-water, but also accidental ingestion of bathing-water, including swimming pools. It is therefore important to be able to detect these parasites quickly, so that remedial action can be taken to reduce the risk of infection. The proposed system combines multiple-angle scattering detection of a single and two wavelengths, to collect relative wavelength angle-resolved scattering phase functions from tested suspension, and multivariate data analysis techniques to obtain characterizing information of samples under investigation. The system was designed to be simple, portable and inexpensive. It employs two diode lasers (violet InGaN-based and red AlGaInP-based) as light sources and silicon photodiodes as detectors and optical components, all of which are readily available. The measured scattering patterns using the dual wavelength system showed that the relative wavelength angle-resolved scattering pattern of cryptosporidium oocysts was significantly different from other particles (e.g. polystyrene latex sphere, E.coli). The single wavelength set up was applied for cryptosporidium oocysts'size and relative refractive index measurement and differential measurement of the concentration of cryptosporidium oocysts suspended in water and mixed polystyrene latex sphere suspension. The measurement results showed good agreement with the control reference values. These results indicate that the proposed method could potentially be applied to online detection in a water quality control system.

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