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Sustainable materials and energy from pine needle waste – a review

  • Niteen R. Yeole ORCID logo EMAIL logo
Veröffentlicht/Copyright: 15. April 2025

Abstract

The accumulation of pine needle waste on the floor of a large pine forest is a severe problem. Dry pine needle waste acts as a fuel for forest fires which release harmful compounds into the atmosphere. The particulate matter in the smoke, released during forest fires, adversely affects human health. The top layer of fertile ground is harmed by unburned bioresidue. Moreover, pine needles provide the ground for pests’ growth, creating a threat to nearby vegetation and structures. Managing pine needle waste through conversion into sustainable materials and energy will help reduce environmental pollution and health risks. The biosorbents from pine needle waste can be used to remove heavy metals and dyes from wastewater. The remote forest areas may be supplied with electricity obtained through the gasification of pine needles. The extracts from pine needles offer a variety of benefits such as anti-inflammatory, antioxidant, and antimicrobial. Currently, laws and subsidies promote the use of forest biomass to create biofuels. The present paper reviews the literature, provides the status and prospects, and analyses the literature data on the synthesis of bio briquettes, using the analysis of variance tool of Microsoft Excel®.


Corresponding author: Niteen R. Yeole, Department of Chemical Engineering, Energy Cluster, School of Advanced Engineering, UPES, Energy Acres, P.O. Bidholi Via-Prem Nagar, Dehradun, 248007, Uttarakhand, India, E-mail:

Highlights

  1. Pine needle waste accumulation problems

  2. Sustainable materials and energy from pine needle waste

  3. Statistical analysis of literature data

  4. Status and prospects

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: The author has 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 author states no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

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Received: 2024-10-08
Accepted: 2025-02-26
Published Online: 2025-04-15
Published in Print: 2025-09-25

© 2025 Walter de Gruyter GmbH, Berlin/Boston

Heruntergeladen am 2.10.2025 von https://www.degruyterbrill.com/document/doi/10.1515/reveh-2024-0146/html
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