Quantification of PLA contamination in PET during injection moulding by in-line NIR spectroscopy

McLauchlin, Andrew R.; Ghita, Oana; Gahkani, Ali

doi:10.1016/j.polymertesting.2014.06.007

Cited by 19 publications

(16 citation statements)

References 12 publications

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“…In this case, the NIR probes were attached to the injection-molding machine [62]. PLS was used to develop a model to predict the PLA concentration based on the acquired NIR spectrum in a more organized way by dividing the spectra into sub-regions based on different chemical bonds.…”

Section: Chemical Bonds Like C-h N-h and O-h Absorb Lightmentioning

confidence: 99%

Characterization of PLA-talc films using NIR chemical imaging and Multivariate Image Analysis techniques

2018

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Maîtrise en génie chimiqueToutefois, puisque la structure de ces films est plus complexe, le contrôle de qualité de ces derniers est plus difficile. Dans l'industrie, des méthodes hors-ligne sont très souvent utilisées pour effectuer le contrôle de qualité des films produits. Le contrôle est nécessaire puisque la variabilité de la matière première ainsi que le changement des conditions opératoires amènent des modifications qui changent considérablement les propriétés du film. Par conséquent, une inspection en temps réel ainsi qu'un contrôle des films de polymère est nécessaire sur la ligne de production afin d'obtenir un contrôle de qualité s'approchant de l'analyse en temps réel.Un système d'imagerie proche infrarouge (NIR) rapide et non-destructif est proposé pour caractériser les films biodégradables d'acide polylactique contenant du talc produits par extrusion-soufflage et utilisés pour l'emballage. Le but ultime est d'utiliser le système pour faire un contrôle de qualité sur la ligne d'extrusion ainsi qu'après le post-traitement thermique, soit le recuit. Un ensemble d'échantillon de film de PLA contenant différentes concentrations en talc ont été fabriqués. Ces derniers ont ensuite été soumis à différentes conditions de recuit. Des images NIR ont été collectées avant la caractérisation des propriétés physiques et mécaniques ainsi que l'étanchéité aux gaz. Des techniques d'imagerie multivariées ont été appliquées aux images hyperspectrales. Celles-ci ont montré que la quantité de talc peut être déterminée et que l'information du spectre NIR permet de prédire les propriétés du film. Dans tous les cas, la méthode proposée permet de déterminer les variations dans les propriétés du film avec une bonne précision. iv AbstractFood packaging plays a great role in the food industry to maintain food products quality as long as possible. Polymer films are widely used in food packaging and also attract attention because of their outstanding advantages. Since petroleum-based polymers are known to cause environmental concerns, biodegradable polymers like PLA were studied more intensively in recent years due to their environmentally friendly properties. The application of reinforced films exceeds simple ones in achieving specific functions and enhancing their properties such as barrier properties. Since the films structures are more complex, quality control is more challenging. In industry, off-line methods are vastly used for quality control of the produced films while variability in raw materials and processing conditions substantially change the film specifications. Consequently, real-time inspection and monitoring of polymer films is needed on the production line to achieve a real-time quality control of the films.A fast and non-invasive near-infrared (NIR) imaging system is proposed to characterize biodegradable polylactic acid (PLA) films containing talc, and produced by extrusion film-blowing for packaging applications. The ultimate goal is to use the system for quality control on the extrusion line, and after a po...

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Section: Chemical Bonds Like C-h N-h and O-h Absorb Lightmentioning

confidence: 99%

Characterization of PLA-talc films using NIR chemical imaging and Multivariate Image Analysis techniques

2018

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“…NIR spectroscopy, which mainly reflects overtones and combinations of the C-H, N-H, and O-H functional groups, has been widely used as a measurement technique for in-line monitoring of the pellet coating process, [8] for studying accuracy of in-line milk composition analysis, [9] and for quantification of poly(lactic acid) contamination in poly(ethylene terephthalate) during injection molding. [10] Raman spectroscopy has recently emerged as a complementary analytical tool to NIR spectroscopy. Compared to NIR spectroscopy, Raman spectroscopy has no specific requirements on physical form of the sample and sample preparation.…”

Section: Introductionmentioning

confidence: 99%

In‐line monitoring of component content of polypropylene/polystyrene blends during melt extrusion using Raman spectroscopy

Huang

Lei

Wang

et al. 2018

J Raman Spectroscopy

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At present, the component content measured by off‐line methods, which are hysteresis, destructive, and unrepresentative for the whole sample, makes it hard for real‐time monitoring of the performance of products in the process of polymer blending and modification. Therefore, in this paper, Raman spectroscopy as a real‐time measurement technology is applied for in‐line monitoring of component content of polypropylene/polystyrene (PS) blends during melt extrusion. Prior to performing an analysis of PS content in polypropylene/PS blends, the signal to noise ratio and relative standard deviation are evaluated with respect to the effects of screw speed, sampling distance of laser spot to melt surface, and single scan time in order to optimize sampling conditions. Owing to this, for quantitative analysis of PS content, different wavenumber ranges and pretreatment methods are used to develop the optimal partial least squares model, which is compared with the optimal partial least squares model of PS content based on off‐line infrared spectroscopy. It is concluded that in‐line Raman spectroscopy determination of PS content shows comparative accuracy and predicting ability, which is achieved exhibiting calibration results that coefficient of determination (R2) and root mean square error of cross‐validation are 0.9998 and 0.438 wt.% and prediction results that R2 and root mean square error of prediction are 0.9993 and 0.725 wt.%. What is more, in‐line monitoring system of Raman spectroscopy is successfully applied to measure PS content variation process from 80 to 50 wt.% then to 20 wt.%.

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“…Near-infrared (NIR) and mid-infrared (MIR) show different details of the chemical structure in different spectral ranges. NIR spectra (12500 to 4000 cm -1 , corresponding to 0.8 to 2.5 µm) are often used to investigate polymer blends and curing kinetics or to predict mechanical properties [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. In the NIR range, A. Kelly et al [1] measured the drug and plasticizer content in a polymer melt.…”

Section: Introduction *mentioning

confidence: 99%

Effect of Extrusion Parameters on Properties of Powder Coatings Determined by Infrared Spectroscopy

Lepschi

Kilgus

Brandstetter

et al. 2017

J. Coat. Sci. Technol.

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In polymer extrusion, compounding is a continuous mixing process that is also used to produce highly reactive powder coatings. A premixed batch of powder coating is added to the feeding section and extruded, preferably by a co-rotating twin-screw extruder. One essential parameter in the processing of highly reactive materials is the melt temperature: If it is too high, pre-reactions occur during the extrusion process, which may cause high rejection rates. We studied the melt temperature of an epoxy/carboxylbased powder coating using a retractable thermocouple at 3 different axial positions along the barrel of a ZSK34 co-rotating twin-screw extruder. The influence of different processing conditions on the reactivity of a highly reactive powder coating was examined by infrared spectroscopy and differential scanning calorimetry. Furthermore, the specific energy input and the color change in the finished powder coating at different processing points were investigated. Multivariate data analysis was used to correlate mid-infrared spectra, melt temperatures, specific energy inputs, enthalpies of reaction and changes in color.

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Quantification of PLA contamination in PET during injection moulding by in-line NIR spectroscopy

Cited by 19 publications

References 12 publications

Characterization of PLA-talc films using NIR chemical imaging and Multivariate Image Analysis techniques

Characterization of PLA-talc films using NIR chemical imaging and Multivariate Image Analysis techniques

In‐line monitoring of component content of polypropylene/polystyrene blends during melt extrusion using Raman spectroscopy

Effect of Extrusion Parameters on Properties of Powder Coatings Determined by Infrared Spectroscopy

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