Application of ATR-FT-IR Single-Fiber Analysis for the Identification of a Foreign Polymer in Textile Matrix

Široká, Barbora; Široký, Ján; Bechtold, Thomas

doi:10.1080/1023666x.2011.570066

Cited by 22 publications

(4 citation statements)

References 19 publications

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“…Unfortunately, most of the modern fibers (regenerated and synthetic) are almost identical in their morphology and thus cannot be identified reliably with microscopic visualization [2,6]. For fast analysis of textile fibers, often in (almost) non-destructive way, different vibrational spectroscopy approaches-Raman, near-infrared spectroscopy (NIR) and mid-infrared spectroscopy (IR)-have been used [1,4,5,[7][8][9][10][11]. Raman spectroscopy, while being widely used method in cultural heritage, [4,12,13] has a serious limitation when it comes to the identification of textile fibers.…”

Section: Introductionmentioning

confidence: 99%

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Reflectance FT-IR spectroscopy as a viable option for textile fiber identification

et al. 2019

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In this study, the reflectance-FT-IR (r-FT-IR) spectroscopy is demonstrated to be a suitable option for non-invasive identification of textile fibers. A collection of known textile fibers, 61 single-component textiles from 16 different types, were analyzed, resulting in more than 4000 individual spectra. The r-FT-IR method was compared with ATR-FT-IR spectroscopy using two instrumental approaches: FT-IR-microspectrometer with ATR mode (mATR-FT-IR) and ATR-FT-IR spectrometer (ATR-FT-IR). Advantages and drawbacks of these methods were discussed. Principal component based discriminant analysis and random forest classification methods were created for the identification of textile fibers in case-study samples. It was concluded that in general, the performance of r-FT-IR is comparable with ATR-FT-IR. In particular, r-FT-IR is more successful than ATR-FT-IR in differentiating between the amide-based fibers wool, silk and polyamide. As an additional result of this work, a collection of r-FT-IR spectra of different textile fibers was compiled and made available for the scientific community.

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Section: Introductionmentioning

confidence: 99%

“…When it comes to the analysis of textile fibers, Fourier transform infrared (FT-IR) spectroscopy in the attenuated total reflectance (ATR) mode is the most acknowledged analytical technique [1,8,[15][16][17][18][19][20]. The main drawback of ATR-FT-IR is the need to apply significant pressure to the textile, which in cases of e.g.…”

Section: Introductionmentioning

confidence: 99%

Reflectance FT-IR spectroscopy as a viable option for textile fiber identification

et al. 2019

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“…The key advantages and limitations of these approaches were underlined, comparing the r-FT-IR and ATR-FT-IR spectra of textile fibers. However, ATR-FT-IR has been chosen to be the source of database inputs in this study, since it is fast, easy, and the most commonly used technique for textile fiber analysis [10,[15][16][17][18][19][20][21][22]. In recent years, different chemometrics approaches have been used in conjunction with chemical data, such as principal component analysis (PCA), linear discriminant analysis (LDA), soft independent modelling by class analogy (SIMCA), cluster analysis, and correlation coefficient.…”

Section: Introductionmentioning

confidence: 99%

Forensic Analysis of Textile Synthetic Fibers Using a FT-IR Spectroscopy Approach

Aljannahi¹,

Alblooshi²,

Alremeithi³

et al. 2022

Molecules

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Synthetic fibers are one of the most valuable trace lines of evidence that can be found in crime scenes. When textile fibers are analyzed properly, they can help in finding a linkage between suspect, victim, and the scene of the crime. Various analytical techniques are used in the examination of samples to determine relationships between different fabric fragments. In this exploratory study, multivariate statistical methods were investigated in combination with machine learning classification models as a method for classifying 138 synthetic textile fibers using Fourier transform infrared spectroscopy, FT-IR. The data were first subjected to preprocessing techniques including the Savitzky–Golay first derivative method and Standard Normal Variate (SNV) method to smooth the spectra and minimize the scattering effects. Principal Component Analysis (PCA) was built to observe unique patterns and to cluster the samples. The classification model in this study, Soft Independent Modeling by Class Analogy (SIMCA), showed correct classification and separation distances between the analyzed synthetic fiber types. At a significance level of 5%, 97.1% of test samples were correctly classified.

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“…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%

Investigating diversity in polymer-based identity cards using ATR-FTIR spectroscopy and chemometrics

McGann¹,

Willans²,

Sauzier³

et al. 2020

Preprint

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<div> <div> <div> <p>Counterfeit production of polymer identity cards poses a significant economic cost to society and a threat to national security. Identifying these counterfeits is a challenge for ‘frontline’ personnel who lack training in specialised document examination. This study investigates the use of attenuated total reflectance Fourier Transform infrared (ATR-FTIR) spectroscopy with chemometrics as a potential approach to assessing polymer card authenticity. In situ analysis of several cards found that differentiation could be achieved based on the core polymer composition. A chemometric model was thus built for three driver’s licence series produced in Western Australia and tested using a separate set of seven licences. The majority of test samples were correctly matched to the series of issue, with atypical samples recognisable based on their discriminant values. Synchrotron FTIR imaging revealed that differentiation between each series was possibly related to the adhesive used between the core layers. The approach presented in this work has the potential to be developed as a rapid screening method to identify suspect polymer cards warranting further examination. </p> </div> </div> </div>

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Application of ATR-FT-IR Single-Fiber Analysis for the Identification of a Foreign Polymer in Textile Matrix

Cited by 22 publications

References 19 publications

Reflectance FT-IR spectroscopy as a viable option for textile fiber identification

Reflectance FT-IR spectroscopy as a viable option for textile fiber identification

Forensic Analysis of Textile Synthetic Fibers Using a FT-IR Spectroscopy Approach

Investigating diversity in polymer-based identity cards using ATR-FTIR spectroscopy and chemometrics

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