In this DFT study, hydrolysis of polyethylene terephthalate (PET), a major cause of plastic pollution, by two distinct enzymes, neprilysin (, a mononuclear metalloprotease) and cutinase-like enzyme (, a serine protease), has been investigated. These enzymes utilize different mechanisms for the degradation of PET. uses either the metal-bound hydroxide attack (MH) mechanism or reverse protonation (RP) mechanism, while utilizes a general acid/base mechanism that includes acylation and deacylation processes. Additionally, the RP mechanism of can proceed through three pathways, RP0, RP1, and RP2. The DFT calculations predict that, among all these mechanisms, the MH mechanism is the energetically most favorable one for the enzyme. In comparison, catalyzes this reaction with a significantly higher barrier. These results suggest that the Lewis acid and nucleophile activations provided by the Zn metal center of are more effective than the hydrogen bonding interactions afforded by the catalytic Ser85-His180-Asp165 triad of . They have provided intrinsic details regarding PET degradation and will pave the way for the design of efficient metal-based catalysts for this critical reaction.
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http://dx.doi.org/10.1021/acs.jcim.0c00797 | DOI Listing |
Nat Commun
December 2024
State Key Laboratory of Heavy Oil Processing, China University of Petroleum (East China), Qingdao, China.
Catalytic upcycling of polyethylene terephthalate (PET) into high-value oxygenated products is a fascinating process, yet it remains challenging. Here, we present a one-step tandem strategy to realize the thermal catalytic oxidation upcycling of PET to terephthalic acid (TPA) and high-value glycolic acid (GA) instead of ethylene glycol (EG). By using the Au/NiO with rich oxygen vacancies as catalyst, we successfully accelerate the hydrolysis of PET, accompanied by obtaining 99% TPA yield and 87.
View Article and Find Full Text PDFJ Environ Manage
December 2024
Department of Orthopedics, Lanzhou University Second Hospital, Lanzhou University, Lanzhou, Gansu, 730030, PR China; The Second Clinical School, Lanzhou University, Lanzhou, Gansu, 730030, PR China; Orthopaedics Key Laboratory of Gansu Province, Lanzhou, Gansu, 730030, PR China. Electronic address:
Polyethylene terephthalate microplastics (PET-MPs) have emerged as a significant environmental concern due to their persistence and potential health hazards. Their role in degenerative diseases, particularly intervertebral disc degeneration (IVDD), remains poorly understood, highlighting the need for systematic evaluation of their molecular toxicity. In this study, network toxicology and molecular docking approaches were applied to investigate the toxicological mechanisms of PET-MPs-induced IVDD.
View Article and Find Full Text PDFCureus
November 2024
Orthopedic Surgery, University of Tsukuba, Tsukuba, JPN.
Background and objective Orthopedic surgery, particularly joint replacement, involves the use of many implants, resulting in a large amount of product packaging waste. To date, no study has surveyed artificial joint manufacturers on the recycling and reduction of packaging materials and their Sustainable Development Goal (SDG) initiatives. This questionnaire survey aimed to identify the current status of orthopedic artificial joint manufacturers in terms of implementing SDG initiatives.
View Article and Find Full Text PDF3D Print Addit Manuf
December 2024
Department of Thermodynamics, Mechanical Engineering and Energy, University of Zagreb, Faculty of Chemical Engineering and Technology, Zagreb, Croatia.
The article discusses the importance of optimizing process parameters in 3D printing to achieve better mechanical properties of printed parts. It emphasizes the material extrusion 3D printing technology and some of the most commonly used materials, acrylonitrile butadiene styrene (ABS) and polyethylene terephthalate glycol (PETG). Optimizable process parameters such as, print angle, outer layer number, extruder flow ratio, extrusion (nozzle) temperature, and layer thickness are examined.
View Article and Find Full Text PDFSpectrochim Acta A Mol Biomol Spectrosc
December 2024
College of Artificial Intelligence, Nankai University, Tianjin 300350, China.
The main objective of this study was to evaluate the potential of near infrared (NIR) spectroscopy and machine learning in detecting microplastics (MPs) in chicken feed. The application of machine learning techniques in building optimal classification models for MPs-contaminated chicken feeds was explored. 80 chicken feed samples with non-contaminated and 240 MPs-contaminated chicken feed samples including polypropylene (PP), polyvinyl chloride (PVC), and polyethylene terephthalate (PET) were prepared, and the NIR diffuse reflectance spectra of all the samples were collected.
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