AI技術でプラスチックリサイクルの効率化(AI-assisted sorting, other new technologies could improve plastic recycling)

2025-07-18 バッファロー大学(UB)

ニューヨーク州立大学バッファロー校の研究チームは、汚れた食品容器などのプラスチックごみから高品質な再生材を得る新たなリサイクル技術を開発した。微細な気泡を用いた「浮選」法で、汚れた粒子を効率よく除去し、PPやPEなどの清浄なプラスチックを高純度で回収。食物汚れの90%以上除去、異物混入も30%以上削減に成功し、再生材は建材や繊維など幅広い用途に活用可能。プラスチック循環と環境負荷軽減への貢献が期待される

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持続可能なプラスチック管理のためのプロセスシステム工学アプローチ Process Systems Engineering Approaches for Sustainable Plastics Management

Aurora del Carmen Munguía-López,Xate Geraldine Sánchez-Zarco,and Alan Owusu-Boateng
Industrial & Engineering Chemistry Research  Published: May 23, 2025
DOI:https://doi.org/10.1021/acs.iecr.5c00658

Abstract

AI技術でプラスチックリサイクルの効率化(AI-assisted sorting, other new technologies could improve plastic recycling)

Engineering sustainable plastics management systems is a current challenge. Plastics are indispensable in different applications, but their economic, environmental, and social impacts pose sustainability concerns. Recent process systems engineering (PSE) approaches, including optimization, machine learning, and process design and analysis, have explored strategies for a circular plastics economy. In this work, we provide an overview of the problems of the current plastics systems and review PSE contributions to sustainable plastics management, focusing on new technologies and biobased plastics. We identify the most common methodologies and the research gaps in the proposed systems. We conclude that solvent-based technologies can be a sustainable option for plastics management due to their low costs and emissions while widely adopting biobased plastics remains an economic and environmental challenge. We also discuss the challenges and opportunities for future research, including the need for systems thinking and integration of methodologies, highlighting the potential role of PSE.

1103廃棄物管理
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