聚对苯二甲酸乙二醇酯
对苯二甲酸
解聚
催化作用
单体
选择性
化学工程
材料科学
聚乙烯
金属有机骨架
聚酯纤维
化学
有机化学
聚合物
高分子化学
复合材料
吸附
工程类
作者
Duong Dinh Pham,Nguyen Dat Vo,Mai Thanh Phong,Nguyen Huu Hieu,T. Nguyen‐Thoi,Pham T.T. Phuong,Duy Ha Le Phuong,Le Kim Hoang Pham,Da Hye Won,Dang Le Tri Nguyen,Tung M. Nguyen
标识
DOI:10.1016/j.cej.2024.151667
摘要
The relentless growth of plastic has emerged as a significant environmental and human health concern. Catalytic glycolysis of polyethylene terephthalate (PET) has proven to be an effective solution. This study investigated a series of M−BDC (M = Ni, Co, Cu, and Zn) metal–organic frameworks as catalysts for PET glycolysis. Zn-BDC exhibited the best experimental performance. Subsequently, the effects of operating conditions were optimized for the first time through a comprehensive investigation using a model based on deep neural networks (DNNs). The guidance of the DNN model resulted in a BHET selectivity as high as 0.95, outperforming most current heterogeneous catalysts for PET depolymerization. Furthermore, the apparent activation energy was also estimated by kinetic study. In addition, our designed system exhibits high durability after five consecutive runs, reflecting its promising escalation at the industrial level. Notably, the fabrication of the M−BDC framework can utilize the organic linker terephthalic acid (TPA) derived from the BHET monomer. By applying this strategy, we have achieved a significant advancement towards closed-loop PET recycling, contributing to a more comprehensive definition of sustainable development.
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