• Title of article

    Characterization of paper finishes by use of infrared spectroscopy in combination with canonical variate analysis

  • Author/Authors

    Canals، نويسنده , , T. and Riba، نويسنده , , J.R. and Cantero، نويسنده , , R. and Cansino، نويسنده , , J. and Domingo، نويسنده , , D. and Iturriaga، نويسنده , , H.، نويسنده ,

  • Issue Information
    ماهنامه با شماره پیاپی سال 2008
  • Pages
    7
  • From page
    751
  • To page
    757
  • Abstract
    The finishing process used by the paper industry involves subjecting the paper surface to the action of chemicals and physical treatments in a series of operations intended to provide an end-product suitable for its intended use. In this work, we studied various paper finishes by using infrared spectra processed with appropriate chemometric techniques. To this end, we used a wide range of paper samples supplied in various finishes (coated, offset and cast-coated) by several paper manufacturers. Fourier transform middle-infrared (FTIR) spectra for the paper samples were recorded by using an ATR module, and reflectance near-infrared (NIR) spectra with the aid of a fibre-optic probe. Both techniques are fast and require no sample pretreatment. imary aim of this work was to develop a new methodology affording the accurate classification and identification of paper finishes in samples other than those used to construct the calibration model. To this end, we used the discriminant chemometric techniques principal component analysis (PCA) and canonical variate analysis (CVA), application of which was followed by that of the k-nearest neighbour algorithm to the samples in the prediction set. This procedure was also used to classify the coated samples into three subgroups. Both FTIR and NIR spectroscopy allowed most of the samples in the prediction sets to be accurately classified and identified.
  • Keywords
    Paper finish , Paper coating , FTIR , NIR , PCA , CVA
  • Journal title
    Talanta
  • Serial Year
    2008
  • Journal title
    Talanta
  • Record number

    1656095