Sustainable plastic bottle recycling: employing zinc-deposited SBA-15 as a catalyst for glycolysis of polyethylene terephthalate-Reference-Cited by-同舟云学术

Sustainable plastic bottle recycling: employing zinc-deposited SBA-15 as a catalyst for glycolysis of polyethylene terephthalate

Published:2024 Issue:1 Volume:11 Page:90-106
ISSN:2372-0352
Container-title:AIMS Environmental Science
language:
Short-container-title:AIMSES

Author:

Srisuratsiri Pailin¹,Chantarasunthon Ketsarin¹,Sudsai Wanutsanun¹,Sukprasert Pichet¹,Chuaitammakit Laksamee Chaicharoenwimolkul²,Sakulsaknimitr Wissawat¹

Affiliation:

1. Department of Fundamental Science and Physical Education, Faculty of Science at Sriracha, Kasetsart University, Sriracha campus, Chonburi 20230, Thailand

2. Chemistry and Applied Chemistry, Faculty of Science and Technology, Suratthani Rajabhat University, 272 Moo 9, Surat-Nasan Road, Khuntale, Muang, Surat Thani 84100, Thailand

Abstract

<abstract> Novel catalysts for recycling PET bottles into monomers have been developed by depositing zinc onto the surface of SBA-15, mitigating ZnO catalyst agglomeration in glycolysis separation processes to enhance reaction yields. Various zinc compounds (Zn(OAc)2, ZnCl2, and ZnSO4) were employed as substrates for catalyst design on the porous, high-surface-area material SBA-15 <italic>via</italic> impregnation. The presence of distinct Zn species on SBA-15 was confirmed through XRD and EDS analyses. The acidity of the catalyst, a crucial factor in the PET glycolysis process, was assessed using different Zn-containing precursors. NH3-TPD measurement has revealed the highest acidity in ZnCl2, followed by Zn(OAc)2 and ZnSO4, respectively. Glycolysis reactions with a PET:EG ratio of 1:5 and a 1% catalyst at 200℃ for 2 hours revealed the catalytic efficacy of zinc-deposited compounds in the sequence ZnCl2 > Zn(OAc)2 > ZnSO4. Surprisingly, the ZnCl2 catalyst produced the highest yield of <italic>bis</italic>-2-hydroxyethyl terephthalate (BHET) at 75% and displayed exceptional recycling capability over three cycles, contributing significantly to resource recovery objectives aligned with the Sustainable Development Goals (SDGs). </abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

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