• Title of article

    NIR spectroscopy on moving solids using a scanning grating spectrometer—impact on multivariate process analysis

  • Author/Authors

    Andersson، نويسنده , , Stephanie M. and Svensson، نويسنده , , O. and Folestad، نويسنده , , S. and Josefson، نويسنده , , M. and Wahlund، نويسنده , , K.-G.، نويسنده ,

  • Issue Information
    دوفصلنامه با شماره پیاپی سال 2005
  • Pages
    11
  • From page
    1
  • To page
    11
  • Abstract
    The effect of sample movement on spectral response during fiber probe diffuse reflectance near-infrared spectrometry (NIR) sampling was characterized. This is of central importance in Process Analytical Chemistry (PAC) and Process Analytical Technology (PAT). The incitement to this study was the observation of spectral artifacts during measurements of powder samples in process streams when using a mechanically scanning spectrometer. Artifacts appeared as momentary changes in the spectral response during acquisition of a scan. These transitions emanate from continuous replacement of the sample subfraction seen by the probe and are typical for turbid media where sample properties may vary locally with respect to scattering and/or absorption. The impact on qualitative and quantitative analysis using chemometric methods such as principal component analysis (PCA) and partial least squares (PLS) regression was evaluated through experimental and theoretical simulations. It was generally found that spectra with the smallest residuals after projection onto the models came from non-moving samples or samples moving only slowly. It is shown that the magnitude of the spectral residuals is directly connected to the effective sample size, which relates both to sample speed as well as to the sample area presented to the probe. Implications for in-line/on-line process analysis of solids are discussed.
  • Keywords
    Fiber probe sampling , Process Analysis , near-infrared , Scanning spectrometer , Moving solids , Multivariate analysis
  • Journal title
    Chemometrics and Intelligent Laboratory Systems
  • Serial Year
    2005
  • Journal title
    Chemometrics and Intelligent Laboratory Systems
  • Record number

    1461366