AI Article Synopsis

  • The study focuses on using near-infrared (NIR) diffuse reflectance spectroscopy to analyze samples that are covered by interfering layers, crucial in various scientific fields.
  • The researchers propose a new method using multivariate curve resolution (MCR) to separate target spectra from those of interfering polyethylene (PE) layers.
  • Unlike traditional methods that attempt to eliminate reflections and scattering effects, this approach examines these factors in order to enhance target spectrum recovery.

Article 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.

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http://dx.doi.org/10.1177/0003702817694182DOI Listing

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