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Extraction of chemical information of suspensions using radiative transfer theory to remove multiple scattering effects : application to a model two-component system

Steponavicius, Raimundas and Thennadil, Suresh N. (2009) Extraction of chemical information of suspensions using radiative transfer theory to remove multiple scattering effects : application to a model two-component system. Analytical Chemistry, 81 (18). pp. 7713-7723. ISSN 0003-2700

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    Abstract

    An approach for removing multiple light scattering effects using the radiative transfer theory (RTE) in order to improve the performance of multivariate calibration models is proposed. This approach is then applied to the problem of building calibration models for predicting the concentration of a scattering (particulate) component. Application of this approach to a simulated four component system showed that it will lead to calibration models which perform appreciably better than when empirically scatter corrected measurements of diffuse transmittance (Td) or reflectance (Rd) are used. The validity of the method was also tested experimentally using a two-component (Polystyrene-water) system. While the proposed method led to a model that performed better than that built using Rd, its performance was worse compared to when Td measurements were used. Analysis indicates that this is because the model built using Td benefits from the strong secondary correlation between particle concentration and pathlength travelled by the photons which occurs due to the system containing only two components. On the other hand, the model arising from the proposed methodology uses essentially only the chemical (polystyrene) signal. Thus this approach can be expected to work better in multi-component systems where the pathlength correlation would not exist.

    Item type: Article
    ID code: 13703
    Keywords: chemical information extraction, chemical information, suspensions, radiative transfer theory, multiple scattering effects, Chemical engineering, Optics. Light, Chemistry, Analytical Chemistry
    Subjects: Technology > Chemical engineering
    Science > Physics > Optics. Light
    Science > Chemistry
    Department: Faculty of Engineering > Chemical and Process Engineering
    Related URLs:
      Depositing user: Dr Suresh N. Thennadil
      Date Deposited: 05 Jan 2010 16:43
      Last modified: 05 Sep 2014 23:25
      URI: http://strathprints.strath.ac.uk/id/eprint/13703

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