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Energy absorption capacity of biocomposites

  • Munir Faraj Alkbir EMAIL logo , Adnan Bakri , Fatihhi Januddi , Nuha Awang , Salit Mohd Sapuan , Suhad D. Salman , Alhadi A. Abosbaia , Zulhaimi Mohammad and Mmhamad Shahrul Effendy Kosnan
Published/Copyright: August 15, 2025
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Abstract

This paper explores the energy absorption capacity of biocomposites and its impact on sustainability and environmental benefits. Biocomposites consisting of natural fibers within a polymer matrix have attracted attention for their potential to improve impact resistance and safety while reducing environmental impact. This review critically examines the current state of research in this field, highlighting the importance of biocomposites in utilizing renewable and recyclable resources, energy-efficient processing, minimizing toxicological impacts, and promoting responsible waste management. This also highlights the importance of assessing emissions, including volatile organic compounds and nanoparticles, from an environmental and toxicological perspective. Additionally, the paper takes into account the degradation susceptibility of sustainable biocomposites, emphasizing the need to ensure their structural integrity during their service life and their ultimate biodegradability and assimilability during composting. The results presented in this review highlight the multifaceted advantages of biocomposites, making them a promising choice for sustainable materials with excellent energy absorption capabilities.


Corresponding author: Munir Faraj Alkbir, Advanced Facilities Engineering Technology Research Cluster (AFET), Plant Engineering Technology (PETech) Section, Universiti Kuala Lumpur Malaysian Institute of Industrial Technology, 81750 Masai, Johor, Malaysia, E-mail:

Acknowledgment

The authors would like to thank the editors S.M. Sapuan, Mohd Roshdi Hassan, Eris Elianddy Supeni and Azizan As’arry for their guidance and review of this article before its publication.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

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Received: 2024-09-12
Accepted: 2025-03-11
Published Online: 2025-08-15

© 2025 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 9.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/psr-2024-0030/html
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