High-Performance Recycling System for Waste Plastics Using Raman Identification

Kawazumi, Hirofumi; Tsuchida, Akihiro; Yoshida, Tomoya; Tsuchida, Yasuo

doi:10.1007/978-3-319-07977-6_34

Cited by 11 publications

(10 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Kawazumi et al (2014) successfully demonstrate the application of Raman spectroscopy to industrial‐scale post‐consumer plastic sorting with acceptable performance for commercial application. This identification technique based on Raman scattering could be applied to waste plastic not only from electrical appliances, but also from information and communication technology equipment and automobiles, which will save vast amounts of resources and energy.…”

Section: Literature Reviewmentioning

confidence: 99%

Recycling water and sludge disposal efficiency in China's sewage treatment industry

Feng

Chiu

et al. 2021

Manage Decis Econ

View full text Add to dashboard Cite

This study uses the modified dynamic SBM (slack-based measures) method to evaluate the wastewater treatment efficiency and sludge treatment efficiency of various province regions in China. Findings show that although the efficiency of reclaimed water and sludge disposal in China's sewage treatment industry continued to increase, it was still insufficient, meaning this industry has a lot of room for improvement here. From the regional perspective, the treatment efficiency of reclaimed water and sludge in this industry in the eastern region is the best, whereas the performances in the western region are better than those in the central region.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Recycling water and sludge disposal efficiency in China's sewage treatment industry

Feng

Chiu

et al. 2021

Manage Decis Econ

View full text Add to dashboard Cite

show abstract

“…The Raman spectra were measured through using a constructed Raman apparatus that allowed achieving the high-speed identification of plastics in industrial-scale recycling [4] . This apparatus comprises a high-power laser diode (785 nm,…”

Section: Collection Of the Raman Spectramentioning

confidence: 99%

“…The Raman spectral peaks imply intrinsic molecular vibrational information, which could be obtained by applying infrared absorption spectroscopy. We have developed a practical plastic waste sorting system applicable at an industrial scale by adopting these features of Raman spectroscopy [2][3][4] .…”

Section: Introductionmentioning

confidence: 99%

“…The suggested Raman identification apparatus operates with a fast measurement time of 3 ms for each spectrum of plastic waste from used home appliances: polypropylene (PP), polystyrene (PS), and acrylonitrile-butadiene -styrene copolymer (ABS). In this method, 25 parallel operations can process shredded plastic flakes (5-30 mm) on the conveyor belt with a throughput speed of 400 Kg/h [4] .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Quantitative Evaluation for the Peak Selectionin the Raman Spectroscopy Classification of Plastics Based on the Support Vector Machine

Musu

Tsuchida

Kawazumi

et al. 2020

Journal of Japan Society of Information and Knowledge

Self Cite

View full text Add to dashboard Cite

To perform mechanical recycling of massive amounts of waste plastics, we developed an identifier oriented on industrial use and based on Raman spectroscopy. For the purpose of designing a practical classification technique that is accurate, fast, and robust against external noise, a simple comparison of spectroscopic peak intensities is considered to be more useful than a complicated multivariate analysis. However, such peak choosing is carried out empirically so far based on expert spectroscopic knowledges. In this report, we successfully demonstrate the classification of three kind plastics using only two peaks that are selected based on support vector machine (SVM) of machine learning; three types of plastic, polypropylene (PP), polystyrene (PS), and acrylonitrilebutadienestyrene copolymer (ABS), are categorized well even in the case of the large artificially generated noise conditions. We could choose automatically a set of two peaks among six sets of four peaks that become candidates in the Raman spectra. Margin values in SVM allow obtaining the decisive information on how to select the peaks in the spectra quantitatively, for distinguishing different types of plastics.

show abstract

“…During WEEE recycling, polymers are sorted out by float-sink processes and air separators, to homogenize the commodity plastics from this waste stream, such as acrylonitrile butadiene styrene (ABS), PP, and PS. Considering all plastic flows and the different polymer types, a sorting efficiency of >95% is only possible to a very limited extent, even for elaborately pre-treated input material [ 17 , 18 , 19 , 20 ]. In praxis, specific sorting processes that target distinct polymers are not applied to polymers that occur in small quantities and/or exhibit a complex material composition (e.g., polymer composites).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Marker Materials and Spectroscopic Methods for Tracer-Based Sorting of Plastic Wastes

et al. 2022

View full text Add to dashboard Cite

Plastics are a ubiquitous material with good mechanical, chemical and thermal properties, and are used in all industrial sectors. Large quantities, widespread use, and insufficient management of plastic wastes lead to low recycling rates. The key challenge in recycling plastic waste is achieving a higher degree of homogeneity between the different polymer material streams. Modern waste sorting plants use automated sensor-based sorting systems capable to sort out commodity plastics, while many engineering plastics, such as polyoxymethylene (POM), will end up in mixed waste streams and are therefore not recycled. A novel approach to increasing recycling rates is tracer-based sorting (TBS), which uses a traceable plastic additive or marker that enables or enhances polymer type identification based on the tracer’s unique fingerprint (e.g., fluorescence). With future TBS applications in mind, we have summarized the literature and assessed TBS techniques and spectroscopic detection methods. Furthermore, a comprehensive list of potential tracer substances suitable for thermoplastics was derived from the literature. We also derived a set of criteria to select the most promising tracer candidates (3 out of 80) based on their material properties, toxicity profiles, and detectability that could be applied to enable the circularity of, for example, POM or other thermoplastics.

show abstract

High-Performance Recycling System for Waste Plastics Using Raman Identification

Cited by 11 publications

References 5 publications

Recycling water and sludge disposal efficiency in China's sewage treatment industry

Recycling water and sludge disposal efficiency in China's sewage treatment industry

Quantitative Evaluation for the Peak Selectionin the Raman Spectroscopy Classification of Plastics Based on the Support Vector Machine

Evaluation of Marker Materials and Spectroscopic Methods for Tracer-Based Sorting of Plastic Wastes

Contact Info

Product

Resources

About