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Extracts from teak wood industrial waste: decay performance of treated wood after artificial weathering

  • Victor Fassina Brocco ORCID logo EMAIL logo , Lais Gonçalves da Costa ORCID logo , Juarez Benigno Paes ORCID logo , Grant T. Kirker ORCID logo and Amy B. Bishell ORCID logo
Published/Copyright: December 30, 2024
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Abstract

This study aimed to evaluate the preservative potential of extracts from teak wood industrial waste against artificial weathering and decay fungi. Teak extracts were obtained in hot water, acetone, ethanol and methanol and tested against brown-rot (Rhodonia placenta, Gloeophyllum trabeum, Neolentinus lepideus) and white-rot fungi (Irpex lacteus). Aging tests included the leaching test and artificial weathering in a QUV accelerated weathering tester. The chemical analysis of the extracts was carried out by gas chromatography-mass spectrometry (GC-MS), and the compounds were compared with the cited literature. The extracts were characterized as quinone derivatives (35 %), mainly tectoquinone (28 %), followed by squalene (8–12 %) and other phenolic compounds (6 %). Lapachol, although found in proportions of 0.7–0.9 %, plays an important role in wood durability and biocidal activity in teak extracts. The results obtained by the chemical analysis indicated that the main compounds identified in this study can act synergistically on the resistance of wood impregnated. Teak extracts ensured high resistance to the decay fungi tested and results showed better performance of acetone extracts. In view of the results obtained, it is recommended to carry out other tests (soil bed and field tests) to verify the long-term effects of the extracts.


Corresponding author: Victor Fassina Brocco, Center for Higher Studies of Itacoatiara, Amazonas State University, Av. Mario Andreazza, Itacoatiara, Amazonas, 69101-065, Brazil, E-mail:

Award Identifier / Grant number: 206834/2017-9

Award Identifier / Grant number: 001

Acknowledgments

The authors acknowledge the contributions of Mark Mankowski with GC-MS analysis. The authors also acknowledge the USDA-FS International Program who allowed to conduct research at USDA-FS Forest Products Laboratory.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: All 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: This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001 and National Council for Scientific and Technological Development (CNPq), grant number 206834/2017-9.

  7. Data availability: Not applicable.

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Received: 2024-08-22
Accepted: 2024-12-17
Published Online: 2024-12-30
Published in Print: 2025-03-26

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