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Scatter correction of transmission near-infrared spectra by photon migration data: Quantitative analysis of solids

Abrahamsson, Christoffer LU ; Lowgren, A; Stromdahl, B; Svensson, Tomas LU ; Andersson-Engels, Stefan LU ; Johansson, Jonas LU and Folestad, S (2005) In Applied Spectroscopy 59(11). p.1381-1387
Abstract
The scope of this work is a new methodology to correct conventional near-infrared (NIR) data for scattering effects. The technique aims at measuring the absorption coefficient of the samples rather than the total attenuation measured in conventional NIR spectroscopy. The main advantage of this is that the absorption coefficient is independent of the path length of the light inside the sample and therefore independent of the scattering effects. The method is based on time-resolved spectroscopy and modeling of light transport by diffusion theory. This provides an independent measure of the scattering properties of the samples and therefore of the path length of light. This yields a clear advantage over other preprocessing techniques, where... (More)
The scope of this work is a new methodology to correct conventional near-infrared (NIR) data for scattering effects. The technique aims at measuring the absorption coefficient of the samples rather than the total attenuation measured in conventional NIR spectroscopy. The main advantage of this is that the absorption coefficient is independent of the path length of the light inside the sample and therefore independent of the scattering effects. The method is based on time-resolved spectroscopy and modeling of light transport by diffusion theory. This provides an independent measure of the scattering properties of the samples and therefore of the path length of light. This yields a clear advantage over other preprocessing techniques, where scattering effects are estimated and corrected for by using the shape of the measured spectrum only. Partial least squares (PLS) calibration models show that, by using the proposed evaluation scheme, the predictive ability is improved by 50% as compared to a model based on conventional NIR data alone. The method also makes it possible to predict the concentration of active substance in samples with other physical properties than the samples included in the calibration model. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
scatter correction, near-infrared spectroscopy, time-resolved, spectroscopy, diffusion, photon migration, NIR spectroscopy, PLS, partial least squares
in
Applied Spectroscopy
volume
59
issue
11
pages
1381 - 1387
publisher
Society for Applied Spectroscopy
external identifiers
  • pmid:16316516
  • wos:000233441200012
  • scopus:28444461536
ISSN
1943-3530
language
English
LU publication?
yes
id
441d5cc1-1d67-431f-be58-38bde59ac6a0 (old id 212348)
alternative location
http://as.osa.org/abstract.cfm?id=117143
date added to LUP
2007-08-24 09:44:14
date last changed
2017-10-23 11:03:39
@article{441d5cc1-1d67-431f-be58-38bde59ac6a0,
  abstract     = {The scope of this work is a new methodology to correct conventional near-infrared (NIR) data for scattering effects. The technique aims at measuring the absorption coefficient of the samples rather than the total attenuation measured in conventional NIR spectroscopy. The main advantage of this is that the absorption coefficient is independent of the path length of the light inside the sample and therefore independent of the scattering effects. The method is based on time-resolved spectroscopy and modeling of light transport by diffusion theory. This provides an independent measure of the scattering properties of the samples and therefore of the path length of light. This yields a clear advantage over other preprocessing techniques, where scattering effects are estimated and corrected for by using the shape of the measured spectrum only. Partial least squares (PLS) calibration models show that, by using the proposed evaluation scheme, the predictive ability is improved by 50% as compared to a model based on conventional NIR data alone. The method also makes it possible to predict the concentration of active substance in samples with other physical properties than the samples included in the calibration model.},
  author       = {Abrahamsson, Christoffer and Lowgren, A and Stromdahl, B and Svensson, Tomas and Andersson-Engels, Stefan and Johansson, Jonas and Folestad, S},
  issn         = {1943-3530},
  keyword      = {scatter correction,near-infrared spectroscopy,time-resolved,spectroscopy,diffusion,photon migration,NIR spectroscopy,PLS,partial least squares},
  language     = {eng},
  number       = {11},
  pages        = {1381--1387},
  publisher    = {Society for Applied Spectroscopy},
  series       = {Applied Spectroscopy},
  title        = {Scatter correction of transmission near-infrared spectra by photon migration data: Quantitative analysis of solids},
  volume       = {59},
  year         = {2005},
}