title: Extraction of chemical information of suspensions using radiative transfer theory to remove multiple scattering effects: application to a model multicomponent system.
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.
authors.affiliation: School of Chemical Engineering and Advanced Materials, Newcastle University, Merz Court, Newcastle upon Tyne NE1 7RU, United Kingdom.
authors.forename: Raimundas
authors.initials: R
authors.lastname: Steponavičius
authors.forename: Suresh N
authors.initials: SN
authors.lastname: Thennadil
mesh_terms: D000042:Absorption; D016477:Artifacts; D002138:Calibration; D008027:Light; D012542:Scattering, Radiation; D013055:Spectrophotometry, Infrared; D013223:Statistics as Topic / Q000379:methods*; D013535:Suspensions / Q000737:chemistry*
chemical_list: D013535:Suspensions