Academic Journal

Enzymatic treatments of pine wood flour for high-density polyethylene composites: Impact on thermomechanical, aging, and wear behavior

التفاصيل البيبلوغرافية
العنوان: Enzymatic treatments of pine wood flour for high-density polyethylene composites: Impact on thermomechanical, aging, and wear behavior
المؤلفون: Fajraoui, Afef, Bouzidi, Mohamed, Omrani, Nihel, Lacoste, Catherine, Belghith, Hafedh, Gargouri, Ali, Elloumi, Ahmed
المصدر: Journal of Elastomers & Plastics ; volume 55, issue 6, page 917-936 ; ISSN 0095-2443 1530-8006
بيانات النشر: SAGE Publications
سنة النشر: 2023
الوصف: The use of pine wood in wood-plastic composite WPC promotes sustainability by incorporating recycled or renewable materials, reducing the reliance on traditional wood sources, and minimizing environmental impact. This study focuses on treating pine wood flour (WF) with biological treatments (xylanase, pectinase, laccase, steam explosion) for use in WPC. The Scanning Electron Microscopy (SEM), Fourier Transform Infared spectroscopy (FTIR), biochemical analysis, and Thermo Gravimetric Analysis (TGA) were used to evaluate the effectiveness of the treatments in terms of the morphological, compositional, surface, and thermal stability of WF. The wear behavior of WPC was exanimate before and after hydrothermal aging. Morphological analysis of WF revealed that the enzymatic treatment produced a clean surface; it removed Xylan and led to a higher cellulose content (70%), and more porosity, and improved thermal stability and adhesion between WF and high density polyethylene (HDPE). Through analysis of wear and aging, we found the best wear resistance for laccase treatment among all WPC before and after aging, and it was lower than the HDPE. These findings highlight the positive impact of the enzymatic treatment on the adhesion between WF and HDPE, leading to reduced water absorption and increased wear resistance.
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1177/00952443231188504
الاتاحة: https://doi.org/10.1177/00952443231188504
https://journals.sagepub.com/doi/pdf/10.1177/00952443231188504
https://journals.sagepub.com/doi/full-xml/10.1177/00952443231188504
Rights: https://journals.sagepub.com/page/policies/text-and-data-mining-license
رقم الانضمام: edsbas.8227D266
قاعدة البيانات: BASE
الوصف
DOI:10.1177/00952443231188504