Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 71,
  • Issue 8,
  • pp. 1760-1772
  • (2017)

Diffuse Reflectance Spectroscopy of Hidden Objects, Part I: Interpretation of the Reflection–Absorption-Scattering Fractions in Near-Infrared (NIR) Spectra of Polyethylene Films

Not Accessible

Your library or personal account may give you access

Abstract

Investigation of a sample covered by an interfering layer is required in many fields, e.g., for process control, biochemical analysis, and many other applications. This study is based on the analysis of spectra collected by near-infrared (NIR) diffuse reflectance spectroscopy. Each spectrum is a composition of a useful, target spectrum and a spectrum of an interfering layer. To recover the target spectrum, we suggest using a new phenomenological approach, which employs the multivariate curve resolution (MCR) method. In general terms, the problem is very complex. We start with a specific problem of analyzing a system, which consists of several layers of polyethylene (PE) film and underlayer samples with known spectral properties. To separate information originating from PE layers and the target, we modify the system versus both the number of the PE layers as well as the reflectance properties of the target sample. We consider that the interfering spectrum of the layer can be modeled using three components, which can be tentatively called transmission, absorption, and scattering contributions. The novelty of our approach is that we do not remove the reflectance and scattering effects from the spectra, but study them in detail aiming to use this information to recover the target spectrum.

© 2017 The Author(s)

PDF Article
More Like This
Quantitative interpretations of Visible-NIR reflectance spectra of blood

Yulia M. Serebrennikova, Jennifer M. Smith, Debra E. Huffman, German F. Leparc, and Luis H. García-Rubio
Opt. Express 16(22) 18215-18229 (2008)

Supplementary Material (1)

NameDescription
Supplement 1       Supplemental file.

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.