Diffuse Reflectance Spectroscopy of Hidden Objects, Part I: Interpretation of the Reflection–Absorption-Scattering Fractions in Near-Infrared (NIR) Spectra of Polyethylene Films. Issue 8 (August 2017)

• Record Type: Journal Article
• Authors: Pomerantsev, Alexey L.; Rodionova, Oxana Ye.; Skvortsov, Alexej N.
• Is Part Of: Applied spectroscopy. Volume 71:Issue 8(2017)
• Page Start: 1760
• Page End: 1772
• Publication Date: 2017-08
• Subjects: Near-infrared diffuse reflectance spectroscopy -- NIR -- multilayer systems -- reflectance -- scattering -- polyethylene films -- spectrum recovery -- multivariate curve resolution -- MCR; Spectrum analysis -- Periodicals; 543.505
• DOI: 10.1177/0003702817694182
• Languages: English
• ISSNs: 0003-7028

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.