Classification of polyethylene cling films by attenuated total reflectance-Fourier transform infrared spectroscopy and chemometrics

Attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR) was utilised to analyse nine differently branded cling films. Principal component analysis (PCA) was used to assess the intra-sample variability, i.e. the variation within individual cling film rolls; as well as the inte...

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Main Authors: Telford, C., Burrows, B., Sauzier, G., Van Bronswijk, W., Houck, M., Maric, M., Lewis, Simon
Format: Journal Article
Published: R S C Publications 2017
Online Access:http://hdl.handle.net/20.500.11937/25882
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author Telford, C.
Burrows, B.
Sauzier, G.
Van Bronswijk, W.
Houck, M.
Maric, M.
Lewis, Simon
author_facet Telford, C.
Burrows, B.
Sauzier, G.
Van Bronswijk, W.
Houck, M.
Maric, M.
Lewis, Simon
author_sort Telford, C.
building Curtin Institutional Repository
collection Online Access
description Attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR) was utilised to analyse nine differently branded cling films. Principal component analysis (PCA) was used to assess the intra-sample variability, i.e. the variation within individual cling film rolls; as well as the inter-sample variability, which explores the variability between different rolls of cling film. Linear discriminant analysis (LDA) was then employed to develop a predictive classification model which gave 100% correct differentiation between three brand groupings of cling film, and accurately classified all of the validation samples obtained from different rolls from the same manufacturers.
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format Journal Article
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T07:58:57Z
publishDate 2017
publisher R S C Publications
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-258822017-12-05T04:29:09Z Classification of polyethylene cling films by attenuated total reflectance-Fourier transform infrared spectroscopy and chemometrics Telford, C. Burrows, B. Sauzier, G. Van Bronswijk, W. Houck, M. Maric, M. Lewis, Simon Attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR) was utilised to analyse nine differently branded cling films. Principal component analysis (PCA) was used to assess the intra-sample variability, i.e. the variation within individual cling film rolls; as well as the inter-sample variability, which explores the variability between different rolls of cling film. Linear discriminant analysis (LDA) was then employed to develop a predictive classification model which gave 100% correct differentiation between three brand groupings of cling film, and accurately classified all of the validation samples obtained from different rolls from the same manufacturers. 2017 Journal Article http://hdl.handle.net/20.500.11937/25882 10.1039/c6ay02960d R S C Publications fulltext
spellingShingle Telford, C.
Burrows, B.
Sauzier, G.
Van Bronswijk, W.
Houck, M.
Maric, M.
Lewis, Simon
Classification of polyethylene cling films by attenuated total reflectance-Fourier transform infrared spectroscopy and chemometrics
title Classification of polyethylene cling films by attenuated total reflectance-Fourier transform infrared spectroscopy and chemometrics
title_full Classification of polyethylene cling films by attenuated total reflectance-Fourier transform infrared spectroscopy and chemometrics
title_fullStr Classification of polyethylene cling films by attenuated total reflectance-Fourier transform infrared spectroscopy and chemometrics
title_full_unstemmed Classification of polyethylene cling films by attenuated total reflectance-Fourier transform infrared spectroscopy and chemometrics
title_short Classification of polyethylene cling films by attenuated total reflectance-Fourier transform infrared spectroscopy and chemometrics
title_sort classification of polyethylene cling films by attenuated total reflectance-fourier transform infrared spectroscopy and chemometrics
url http://hdl.handle.net/20.500.11937/25882