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

被引:8
作者
Barbin, Douglas Fernandes [1 ,3 ]
Valous, Nektarios A. [2 ]
Dias, Adriana Passos [2 ]
Camisa, Jaqueline [2 ]
Hirooka, Elisa Yoko [2 ]
Yamashita, Fabio [2 ]
机构
[1] Fed Univ Technol UTFPR Londrina, Dept Food Sci, Londrina, Parana, Brazil
[2] Univ Estadual Londrina, Ctr Agr Sci, Dept Food Sci & Technol, BR-86055900 Londrina, PR, Brazil
[3] Univ Estadual Campinas, Dept Food Engn, Sch Food Engn, Campinas, SP, Brazil
来源
MATERIALS SCIENCE & ENGINEERING C-MATERIALS FOR BIOLOGICAL APPLICATIONS | 2015年 / 56卷
关键词
Biopolymer; Near-infrared spectroscopy; Chemometrics; Multivariate analyses; Partial least squares regression; INFRARED-SPECTROSCOPY; MULTIVARIATE CALIBRATION; PREDICTION; REGRESSION; SPECTRA; STARCH; FLOUR;
D O I
10.1016/j.msec.2015.06.029
中图分类号
TB3 [工程材料学]; R318.08 [生物材料学];
学科分类号
0805 ; 080501 ; 080502 ;
摘要
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 400-2498 nm at 2 nm 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-c(2)) 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. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:274 / 279
页数:6
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