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Mater Sci Eng C Mater Biol Appl. 2015 Nov 1;56:274-9. doi: 10.1016/j.msec.2015.06.029. Epub 2015 Jun 24.

VIS-NIR spectroscopy as a process analytical technology for compositional characterization of film biopolymers and correlation with their mechanical properties.

Author information

1
Department of Food Science, Federal University of Technology (UTFPR) Londrina, Brazil; Department of Food Engineering, School of Food Engineering, University of Campinas, Campinas, Brazil.
2
Department of Food Science and Technology, Center for Agricultural Sciences, State University of Londrina, Rodovia Celso Garcia Cid, PR 445 Km 380, Campus Universitário, Londrina, PR 86055-900, Brazil.
3
Department of Food Science and Technology, Center for Agricultural Sciences, State University of Londrina, Rodovia Celso Garcia Cid, PR 445 Km 380, Campus Universitário, Londrina, PR 86055-900, Brazil. Electronic address: adrianapassosd@gmail.com.

Abstract

There is an increasing interest in the use of polysaccharides and proteins for the production of biodegradable films. Visible and near-infrared (VIS-NIR) spectroscopy is a reliable analytical tool for objective analyses of biological sample attributes. The objective is to investigate the potential of VIS-NIR spectroscopy as a process analytical technology for compositional characterization of biodegradable materials and correlation to their mechanical properties. Biofilms were produced by single-screw extrusion with different combinations of polybutylene adipate-co-terephthalate, whole oat flour, glycerol, magnesium stearate, and citric acid. Spectral data were recorded in the range of 400-2498nm at 2nm intervals. Partial least square regression was used to investigate the correlation between spectral information and mechanical properties. Results show that spectral information is influenced by the major constituent components, as they are clustered according to polybutylene adipate-co-terephthalate content. Results for regression models using the spectral information as predictor of tensile properties achieved satisfactory results, with coefficients of prediction (R(2)C) of 0.83, 0.88 and 0.92 (calibration models) for elongation, tensile strength, and Young's modulus, respectively. Results corroborate the correlation of NIR spectra with tensile properties, showing that NIR spectroscopy has potential as a rapid analytical technology for non-destructive assessment of the mechanical properties of the films.

KEYWORDS:

Biopolymer; Chemometrics; Multivariate analyses; Near-infrared spectroscopy; Partial least squares regression

PMID:
26249590
DOI:
10.1016/j.msec.2015.06.029
[Indexed for MEDLINE]

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