Application of representative layer theory to near-infrared reflectance spectra of powdered samples

Carlos Cairos, Jordi Coello, Santiago Maspoch

Research output: Contribution to journalArticleResearchpeer-review

4 Citations (Scopus)

Abstract

The diffuse reflectance near-infrared (NIR) spectrum of a powdered sample includes the contribution of specular and diffuse reflectance, which is a function of absorbance and scattering. The fraction of light scattered depends in a complex manner on the physical properties of the sample such as particle size, refraction index, etc. Several theories to study the dependence of NIR spectra on the particle size have been proposed. The best known is the Kubelka-Munk model, an approach based on continuous mathematics. Recently Dahm and Dahm put forward an alternative method, the representative layer theory (RLT), which uses discontinuous mathematics as a basis. This approach can be used to identify and disentangle the scattering and absorbance signals as well as their dependence on the particle size. The scattering and absorption coefficient of NaCl (a nonabsorbing material) and of potassium hydrogen phthalate, KHP (a strong absorber), have been estimated through the application of the representative layer theory, working on a particle size range from 63 to 450 μm. In both samples, the absorption coefficient of the sample (K) remains constant and practically independent of the particle size, while the scattering coefficient of the sample (S) decreases when the particle diameter increases, becoming stable around a diameter of 250 μm. © 2008 Society for Applied Spectroscopy.
Original languageEnglish
Pages (from-to)1363-1369
JournalApplied Spectroscopy
Volume62
Issue number12
DOIs
Publication statusPublished - 1 Dec 2008

Keywords

  • Absorption coefficient
  • Near-infrared spectroscopy
  • NIR spectroscopy
  • Particle size
  • Representative layer theory
  • Scattering coefficient

Fingerprint Dive into the research topics of 'Application of representative layer theory to near-infrared reflectance spectra of powdered samples'. Together they form a unique fingerprint.

Cite this