2015
DOI: 10.4236/ajac.2015.64029
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Analysis of ATR-FTIR Absorption-Reflection Data from 13 Polymeric Fabric Materials Using Chemometrics

Abstract: We used both correlation and covariance-principal component analysis (PCA) to classify the same absorption-reflectance data collected from 13 different polymeric fabric materials that was obtained using Attenuated Total Reflectance-Fourier Transform Infrared spectroscopy (ATR-FTIR). The application of the two techniques, though similar, yielded results that represent different chemical properties of the polymeric substances. On one hand, correlation-PCA enabled the classification of the fabric materials accord… Show more

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Cited by 17 publications
(12 citation statements)
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“…The CA, PCA, discriminant analysis, partial least squares, partial least squares discriminant analysis, or least‐squares support vector machine have been used as multivariate analysis techniques in species identification for a number of meat products such as meatball, sausage, minced meat, and beef, for classification and quantification purposes (Alamprese et al, ; Rahmania & Rohman, ; Rohman et al, ; Xu, Cai, Cui, Ye, & Yu, ; Zhao et al, ). PCA and HCA, the most common methods in exploring similarities and relationships between samples and measured data (Granato, Santos, Escher, Ferreira, & Maggio, ; Pumure et al, ), were used in the present study because the purpose was spectral characterization and differentiation of adulterated meat mixtures via multivariate analysis techniques rather than quantification. After assessing zoomed view spectra via the naked eye as well as using intensity values, chemometric analyses were also conducted by HCA and PCA.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The CA, PCA, discriminant analysis, partial least squares, partial least squares discriminant analysis, or least‐squares support vector machine have been used as multivariate analysis techniques in species identification for a number of meat products such as meatball, sausage, minced meat, and beef, for classification and quantification purposes (Alamprese et al, ; Rahmania & Rohman, ; Rohman et al, ; Xu, Cai, Cui, Ye, & Yu, ; Zhao et al, ). PCA and HCA, the most common methods in exploring similarities and relationships between samples and measured data (Granato, Santos, Escher, Ferreira, & Maggio, ; Pumure et al, ), were used in the present study because the purpose was spectral characterization and differentiation of adulterated meat mixtures via multivariate analysis techniques rather than quantification. After assessing zoomed view spectra via the naked eye as well as using intensity values, chemometric analyses were also conducted by HCA and PCA.…”
Section: Resultsmentioning
confidence: 99%
“…PCA and HCA, the most common methods in exploring similarities and relationships between samples and measured data (Granato, Santos, Escher, Ferreira, & Maggio, 2018;Pumure et al, 2015), were used in the present study because the purpose was spectral characterization and differentiation of adulterated meat mixtures via multivariate analysis techniques rather than quantification. After assessing zoomed view spectra via the naked eye as well as using intensity values, chemometric analyses were also conducted by HCA and PCA.…”
Section: Classification Of Mixtures By Chemometric Methodsmentioning
confidence: 99%
“…In this regard, it demands for an optical technique to discriminate such materials. Fourier transform infrared spectroscopy 45 and ultraviolet visible spectroscopy 46 have been used for this purpose but each technique has its own merits and demerits. Because THz-TDS accounts for the phase information, it is therefore capable of detecting small changes in the refractive index and such changes cannot be studied using the other discussed optical techniques.…”
Section: Experimental Measurements and Calculationsmentioning
confidence: 99%
“…Attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy is particularly appropriate for this application as it is simple, robust and readily portable. Multiple studies have demonstrated the use of ATR-FTIR spectroscopy to characterise polymer-based products such as automotive paint [11,12], food packaging films [13][14][15], and textile fibres [16,17]. However, to the best of our knowledge, the use of ATR-FTIR spectroscopy for polymer card examination has not previously been reported in the open literature.…”
Section: Introductionmentioning
confidence: 99%