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Chemical Composition of Hexene‐Based Linear Low‐Density Polyethylene by Infrared Spectroscopy and Chemometrics

Authors :
Manel Taam
Christophe Boisson
Olivier Boyron
Laboratoire de Chimie, Catalyse, Polymères et Procédés, R 5265 (C2P2)
Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Université de Lyon-École supérieure de Chimie Physique Electronique de Lyon (CPE)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)
Source :
Macromolecular Chemistry and Physics, Macromolecular Chemistry and Physics, Wiley-VCH Verlag, 2019, 220 (24), pp.1900376. ⟨10.1002/macp.201900376⟩
Publication Year :
2019
Publisher :
HAL CCSD, 2019.

Abstract

International audience; Mid and near infrared (MIR and NIR) spectroscopy associated with the partial least squares (PLS) method makes it possible to rapidly characterize the composition of linear low-density polyethylene (LLDPE) in a large range of 1-hexene content from 0 to 21 mol%. LLDPEs are produced using zirconocene catalysts activated with methylaluminoxane. PLS regression methods for MIR and NIR are constructed from this series of LLDPEs to quantify the 1-hexene content in unknown copolymers. In this case, the PLS regression method aims to correlate the 1-hexene content in the copolymers with their IR spectra. Multivariate calibration models are constructed by the PLS algorithm on pretreated data of MIR and NIR analyses. They are tested and validated by comparing results obtained by NMR and the PLS analyses for four unknown ethylene-1-hexene copolymers.

Details

Language :
English
ISSN :
10221352 and 15213935
Database :
OpenAIRE
Journal :
Macromolecular Chemistry and Physics, Macromolecular Chemistry and Physics, Wiley-VCH Verlag, 2019, 220 (24), pp.1900376. ⟨10.1002/macp.201900376⟩
Accession number :
edsair.doi.dedup.....0bb0ecdbeb31d28c32a29268776eedc8
Full Text :
https://doi.org/10.1002/macp.201900376⟩