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Convolutional neural networks enhance pyrolysis gas chromatography mass spectrometry identification of coated papers

By Jingfan Zhang and others
In the evolving paper industry, the accurate identification of coated paper components is increasingly essential for sustainability and recycling efforts. This study employed pyrolysis gas chromatography-mass spectrometry (Py-GC-MS) to examine six different coated paper types. A key finding was the minimal interference of the paper substrate with the pyrolysis products... Show more
July 10, 2024
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Convolutional neural networks enhance pyrolysis gas chromatography mass spectrometry identification of coated papers
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