Title :

QCL-based mid-infrared hyperspectral imaging of multilayer polymer oxygen barrier-films

Author(s) :

Zimmerleiter, Robert [Auteur]
Research Center for Non Destructive Testing GmbH [RECENDT]
Nikzad-Langerodi, R. [Auteur]
Software Competence Center Hagenberg [SCCH]
Ruckebusch, Cyril [Auteur]
Laboratoire Avancé de Spectroscopie pour les Intéractions la Réactivité et l'Environnement (LASIRE) - UMR 8516
Godejohann, Matthias [Auteur]
Kilgus, J. [Auteur]
Research Center for Non Destructive Testing GmbH [RECENDT]
Duswald, K. [Auteur]
Research Center for Non Destructive Testing GmbH [RECENDT]
Brandstetter, M. [Auteur]
Research Center for Non Destructive Testing GmbH [RECENDT]

Journal title :

Polymer Testing

Abbreviated title :

Polym. Test

Volume number :

98

Pages :

-

Publication date :

2021-07-07

ISSN :

0142-9418

English keyword(s) :

Quantum cascade laser
Mid-infrared spectroscopy
Hyperspectral imaging
Multi-layer polymer film
Principal component analysis
Multivariate curve resolution

HAL domain(s) :

Chimie/Chimie théorique et/ou physique

English abstract : [en]

In this work, mid-infrared hyperspectral images of multilayer polymer film (MLPF) cross sections are acquired with a high-speed quantum cascade laser (QCL) based mid-infrared microscope and analyzed using different data ...
Show more >In this work, mid-infrared hyperspectral images of multilayer polymer film (MLPF) cross sections are acquired with a high-speed quantum cascade laser (QCL) based mid-infrared microscope and analyzed using different data analysis techniques. The investigated MLPF is a polypropylene (PP) and ethylene-vinyl alcohol co-polymer (EVOH) composite commonly used for food packaging due to its outstanding barrier characteristics. Pure band integration of supposedly selective absorption bands for the two constituents of the MLPF is compared to principal component analysis (PCA) and multivariate curve resolution (MCR) algorithms regarding the ability to spatially resolve the differently composed areas in the MLPF. While both pure band integration and PCA are strongly affected by common physical artifacts in the spectral data, such as sample tilt, scattering or interference effects, MCR managed to give a clear picture of the composition of the MLPF, which matches the actual situation given by the manufacturing process. The obtained results can guide the way to the application of highperformance mid-infrared spectroscopic instrumentation for spatially resolved polymer analysis by meaningful interpretation of hyperspectral image data.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
CNRS

Collections :

• Laboratoire Avancé de Spectroscopie pour les Intéractions la Réactivité et l'Environnement (LASIRE) - UMR 8516

Submission date :

2024-02-28T23:32:10Z
2024-03-18T10:35:54Z