Literature DB >> 29433857

Handling of uncertainty due to interference fringe in FT-NIR transmittance spectroscopy - Performance comparison of interference elimination techniques using glucose-water system.

Anel Beganović1, Krzysztof B Beć2, Raphael Henn1, Christian W Huck3.   

Abstract

The applicability of two elimination techniques for interferences occurring in measurements with cells of short pathlength using Fourier transform near-infrared (FT-NIR) spectroscopy was evaluated. Due to the growing interest in the field of vibrational spectroscopy in aqueous biological fluids (e.g. glucose in blood), aqueous solutions of d-(+)-glucose were prepared and split into a calibration set and an independent validation set. All samples were measured with two FT-NIR spectrometers at various spectral resolutions. Moving average smoothing (MAS) and fast Fourier transform filter (FFT filter) were applied to the interference affected FT-NIR spectra in order to eliminate the interference pattern. After data pre-treatment, partial least squares regression (PLSR) models using different NIR regions were constructed using untreated (interference affected) spectra and spectra treated with MAS and FFT filter. The prediction of the independent validation set revealed information about the performance of the utilized interference elimination techniques, as well as the different NIR regions. The results showed that the combination band of water at approx. 5200 cm-1 is of great importance since its performance was superior to the one of the so-called first overtone of water at approx. 6800 cm-1. Furthermore, this work demonstrated that MAS and FFT filter are fast and easy-to-use techniques for the elimination of interference fringes in FT-NIR transmittance spectroscopy.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  FT-NIR spectroscopy; Glucose; Interference fringe; PLSR; Water

Year:  2018        PMID: 29433857     DOI: 10.1016/j.saa.2018.01.069

Source DB:  PubMed          Journal:  Spectrochim Acta A Mol Biomol Spectrosc        ISSN: 1386-1425            Impact factor:   4.098


  2 in total

Review 1.  Near-Infrared Spectroscopy in Bio-Applications.

Authors:  Krzysztof B Beć; Justyna Grabska; Christian W Huck
Journal:  Molecules       Date:  2020-06-26       Impact factor: 4.411

2.  Comparison of Multivariate Regression Models Based on Water- and Carbohydrate-Related Spectral Regions in the Near-Infrared for Aqueous Solutions of Glucose.

Authors:  Anel Beganović; Vanessa Moll; Christian W Huck
Journal:  Molecules       Date:  2019-10-15       Impact factor: 4.411

  2 in total

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