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Journal articles
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Open Access
A hundred years of corrosion in the pulp and paper industry, TAPPI JOURNAL May 2018

A hundred years of corrosion in the pulp and paper industry, TAPPI JOURNAL May 2018

Journal articles
Magazine articles
Open Access
Factors affecting particulate removal efficiency of kraft recovery boiler electrostatic precipitators: a technical review, TAPPI JOURNAL May 2018

Factors affecting particulate removal efficiency of kraft recovery boiler electrostatic precipitators: a technical review, TAPPI JOURNAL May 2018

Journal articles
Magazine articles
Open Access
Dry chip feedrate control using online chip moisture, TAPPI JOURNAL May 2018

Dry chip feedrate control using online chip moisture, TAPPI JOURNAL May 2018

Journal articles
Magazine articles
Open Access
Finite element analysis of the thermal bending of a chilled

Finite element analysis of the thermal bending of a chilled cast thermo roll, TAPPI JOURNAL June 2017

Journal articles
Magazine articles
Open Access
An easy and reliable method for syringyl:guaiacyl ratio mea

An easy and reliable method for syringyl:guaiacyl ratio measurement, TAPPI JOURNAL March 2017

Journal articles
Magazine articles
Open Access
New automated method for macrocontaminant analysis

New automated method for macrocontaminant analysis: Industrial applications, TAPPI JOURNAL November 2017

Journal articles
Magazine articles
Open Access
Innovative technology for making paper from poor fibers

Innovative technology for making improved paper from the poorest fibers, TAPPI JOURNAL November 2017

Journal articles
Magazine articles
Open Access
Effect of conductivity on paper and board machine performanc

Effect of conductivity on paper and board machine performance— a review and new experiences, TAPPI JOURNAL October 2017

Journal articles
Magazine articles
Open Access
Techno-economic analysis of ECF bleaching and TCF bleaching

Techno-economic analysis of ECF bleaching and TCF bleaching for a bleached eucalyptus kraft pulp mill, TAPPI JOURNAL October 2017

Journal articles
Magazine articles
Open Access
Convolutional neural networks enhance pyrolysis gas chromatography mass spectrometry identification of coated papers, TAPPI Journal August 2024

ABSTRACT: In the evolving paper industry, accurate identification of coated paper components is essential for sustainability and recycling efforts. This study employed pyrolysis-gas chromatography mass spectrometry (Py-GCMS) to examine six types of coated paper. A key finding was the minimal interference of the paper substrate with the pyrolysis products of the coatings, ensuring reliable analysis. A one-dimensional convolutional neural network (1D-CNN) was employed to process the extracted ion chromatograms directly, simplifying the workflow and achieving a predictive accuracy of 95.2% in identifying different coating compositions. Additionally, the study high-lighted the importance of selecting an optimal pyrolysis temperature for effective feature extraction in machine learning models. Specific markers for coated papers, including polyethylene (PE), polypropylene (PP), polyethylene terephthalate (PET), polybutylene succinate (PBS), polylactic acid (PLA), and waterborne polyacrylates (WP), were identified. This research demonstrates a novel approach to coated paper identification by combining Py-GCMS with machine learning, offering a foundation for further studies in product quality and environmental impact.

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