Laser Journal, Volume. 46, Issue 2, 210(2025)
Study on the identification of waste plastic materials based on near infrared spectroscopy
[11] [11] Hernandez M U, West G, Assaf T. Low-Cost Recognition of Plastic Waste Using Deep Learning and a Multi-Spectral Near-Infrared Sensor[J]. Sensors, 2024, 24(9): 2821.
[12] [12] Zhu S C, Chen H H, Wang M M, et al. Plastic solid waste identification system based on near infrared spectroscopy in combination with support vector machine[J]. Advanced Industrial and Engineering Polymer Research, 2019, 2(2): 77-81.
[13] [13] Li J, Li C, Liao Q, et al. Environmentally-friendly technology for rapid on-line recycling of acrylonitrile-butadienestyrene, polystyrene and polypropylene using near-infrared spectroscopy[J]. Journal of Cleaner Production, 2018, 213 838-844.
[17] [17] Rady A, Fischer J, Reeves S, et al. The Effect of Light Intensity, Sensor Height, and Spectral Pre-processing Methods When Using NIR Spectroscopy to Identify Different Allergen-containing Powdered Foods[J]. Sensors, 2019, 20(1): 230-230.
[19] [19] Selin R U, Hakki I B. Authentication of liquid egg composition using ATR-FTIR and NIR spectroscopy in combination with PCA[J]. Journal of the science of food and agriculture, 2020, 100(2): 855-862.
[22] [22] Selin R U, Hakki I B. Authentication of liquid egg composition using ATR-FTIR and NIR spectroscopy in combination with PCA[J]. Journal of the science of food and agriculture, 2020, 100(2): 855-862.
[25] [25] Feng G H, Zhu Y J, Li Y X. Identification Method of Imported Timber Species by Mid-Infrared Spectrum[J]. Spectroscopy And Spectral Analysis, 2020, 40(7): 2128-2132.
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PENG Binbin, ZHANG Chao, GUO Yakun, WU Yingqi. Study on the identification of waste plastic materials based on near infrared spectroscopy[J]. Laser Journal, 2025, 46(2): 210
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Received: Sep. 3, 2024
Accepted: Jun. 12, 2025
Published Online: Jun. 12, 2025
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