A new circulation in glycolysis of polyethylene terephthalate using MOF-based catalysts for environmental sustainability of plastic

被引：2

作者：

Pham, Duong Dinh ^{[1
,2
]}

Vo, Dat-Nguyen ^{[3
]}

Phong, Mai Thanh ^{[4
]}

Nguyen, Huu Hieu ^{[4
,5
,6
]}

Nguyen-Thoi, Trung ^{[7
,8
]}

Pham, Thuy-Phuong T. ^{[9
,10
]}

Phuong, Duy Ha Le ^{[11
]}

Pham, Le Kim Hoang ^{[11
]}

Won, Da Hye ^{[12
,13
,14
]}

Nguyen, Dang Le Tri ^{[1
,2
]}

Nguyen, Tung M. ^{[11
]}

机构：

[1] Van Lang Univ, Inst Computat Sci & Artificial Intelligence, Lab Adv Nanomat & Sustainable Energy Technol, Ho Chi Minh City, Vietnam

[2] Van Lang Univ, Fac Appl Technol, Sch Technol, Ho Chi Minh City, Vietnam

[3] Nanyang Technol Univ, Sch Chem Chem Engn & Biotechnol, 62 Nanyang Dr, Singapore City 637459, Singapore

[4] Ho Chi Minh City Univ Technol HCMUT, Fac Chem Engn, 268 Ly Thuong Kiet St, Ho Chi Minh City, Vietnam

[5] Ho Chi Minh City Univ Technol HCMUT, Key Lab Chem Engn & Petr Proc, Key CEPP Lab, VNU HCM, 268 Ly Thuong Kiet St, Ho Chi Minh City, Vietnam

[6] Vietnam Natl Univ Ho Chi Minh City VNU HCM, Linh Trung Ward, Ho Chi Minh City, Vietnam

[7] Van Lang Univ, Inst Computat Sci & Artificial Intelligence, Lab Appl & Ind Math, Ho Chi Minh City, Vietnam

[8] Van Lang Univ, Fac Mech Elect & Comp Engn, Sch Technol, Ho Chi Minh City, Vietnam

[9] Viet Nam Acad Sci & Technol, Inst Chem Technol, 1A Thanh Loc 29 St,Thanh Loc Ward, Ho Chi Minh City, Vietnam

[10] Vietnam Acad Sci & Technol, Grad Univ Sci & Technol, 18 Hoang Quoc Viet St, Hanoi, Vietnam

[11] Nguyen Tat Thanh Univ, Inst Appl Technol & Sustainable Dev, Ho Chi Minh City 755414, Vietnam

[12] Korea Inst Sci & Technol KIST, Clean Energy Res Ctr, Hwarang Ro 14-gil 5, Seoul 02792, South Korea

[13] Korea Univ Sci & Technol UST, KIST Sch, Div Energy & Environm Technol, Seoul 02792, South Korea

[14] Kyung Hee Univ, KHU KIST Dept Converging Sci & Technol, Seoul 02477, South Korea

来源：

CHEMICAL ENGINEERING JOURNAL | 2024年 / 490卷

关键词：

PET glycolysis; Metal -organic frameworks; Deep Neural Networks; Machine learning; Artificial intelligence; Plastic circulation; METAL-ORGANIC FRAMEWORK; POLY(ETHYLENE-TEREPHTHALATE); COORDINATION; NANOPARTICLES; WASTE;

D O I：

10.1016/j.cej.2024.151667

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

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.

引用

页数：14

共 70 条

[1]

Agarap A.F., 2018, arXiv

[2] Fe3O4-boosted MWCNT as an efficient sustainable catalyst for PET glycolysis [J].