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

Raimundas Steponavicius, Suresh Thennadil

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23 Citations (Scopus)
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Abstract

The effectiveness of a scatter correction approach based on decoupling absorption and scattering effects through the use of the radiative transfer theory to invert a suitable set of measurements is studied by considering a model multicomponent suspension. The method was used in conjunction with partial least-squares regression to build calibration models for estimating the concentration of two types of analytes: an absorbing (nonscattering) species and a particulate (absorbing and scattering) species. The performances of the models built by this approach were compared with those obtained by applying empirical scatter correction approaches to diffuse reflectance, diffuse transmittance, and collimated transmittance measurements. It was found that the method provided appreciable improvement in model performance for the prediction of both types of analytes. The study indicates that, as long as the bulk absorption spectra are accurately extracted, no further empirical preprocessing to remove light scattering effects is required.
Original languageEnglish
Pages (from-to)1931-1937
Number of pages7
JournalAnalytical Chemistry
Volume83
Issue number6
Early online date22 Feb 2011
DOIs
Publication statusPublished - 15 Mar 2011

Keywords

  • scatter correction
  • multivariate calibration
  • near-infrared spectroscopy
  • multiple scattering
  • radiative transfer equation
  • adding-doubling method

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