Full metadata record

DC Field Value Language
dc.contributor.authorPham, Duong Dinh-
dc.contributor.authorVo, Dat-Nguyen-
dc.contributor.authorPhong, Mai Thanh-
dc.contributor.authorNguyen, Huu Hieu-
dc.contributor.authorNguyen-Thoi, Trung-
dc.contributor.authorPham, Thuy-Phuong T.-
dc.contributor.authorPhuong, Duy Ha Le-
dc.contributor.authorPham, Le Kim Hoang-
dc.contributor.authorWon, Da Hye-
dc.contributor.authorNguyen, Dang Le Tri-
dc.contributor.authorNguyen, Tung M.-
dc.date.accessioned2024-06-20T02:30:08Z-
dc.date.available2024-06-20T02:30:08Z-
dc.date.created2024-06-20-
dc.date.issued2024-06-
dc.identifier.issn1385-8947-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/150090-
dc.description.abstractThe 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.-
dc.languageEnglish-
dc.publisherElsevier BV-
dc.titleA new circulation in glycolysis of polyethylene terephthalate using MOF-based catalysts for environmental sustainability of plastic-
dc.typeArticle-
dc.identifier.doi10.1016/j.cej.2024.151667-
dc.description.journalClass1-
dc.identifier.bibliographicCitationChemical Engineering Journal, v.490-
dc.citation.titleChemical Engineering Journal-
dc.citation.volume490-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid001241053300001-
dc.identifier.scopusid2-s2.0-85193904110-
dc.relation.journalWebOfScienceCategoryEngineering, Environmental-
dc.relation.journalWebOfScienceCategoryEngineering, Chemical-
dc.relation.journalResearchAreaEngineering-
dc.type.docTypeArticle-
dc.subject.keywordPlusCOORDINATION-
dc.subject.keywordPlusMETAL-ORGANIC FRAMEWORK-
dc.subject.keywordPlusPOLY(ETHYLENE-TEREPHTHALATE)-
dc.subject.keywordPlusNANOPARTICLES-
dc.subject.keywordPlusWASTE-
dc.subject.keywordAuthorPET glycolysis-
dc.subject.keywordAuthorMetal -organic frameworks-
dc.subject.keywordAuthorDeep Neural Networks-
dc.subject.keywordAuthorMachine learning-
dc.subject.keywordAuthorArtificial intelligence-
dc.subject.keywordAuthorPlastic circulation-
Appears in Collections:
KIST Article > 2024
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE