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Licensed Unlicensed Requires Authentication Published by De Gruyter December 30, 2023

Effects of tannin acid impregnated pretreatment on dimensional stability and chemical composition of heat-treated Chinese fir

  • Yuxin Zhao , Luxi He , Jiayi Kang , Jingjing Gao , Guochen Huo , Kai Xu , Tinghuan Wang , Zhengbin He , Zhenyu Wang EMAIL logo and Songlin Yi EMAIL logo
From the journal Holzforschung

Abstract

Thermal treatment is an effective method for improving the dimensional stability of wood; however, it typically requires high temperatures. To achieve low-temperature heat treatment, this study employed wood samples impregnated with 10 % tannin acid (TA) and examined their changes in dimensional stability and chemical components after heat treatment at various initial moisture content levels. The results revealed that the TA-10 %-HT group exhibited enhanced dimensional stability. Specifically, both the tangential and radial moisture swelling decreased by 21.7 % and 11.8 %, respectively. FTIR and XRD analysis indicated that the presence of tannin acid catalytically facilitated the degradation of hemicellulose. Moreover, an increase in moisture content resulted in the ionization of TA, amplifying acidity and further affecting cellulose degradation. TGA demonstrated that TA impacted the thermal stability of heat-treated materials by lowering the initial decomposition temperature of wood components and increasing the residual weight of wood. Overall, pretreatment with TA impregnation and moisture content significantly improved the dimensional stability of Chinese fir wood and altered its chemical composition. This approach holds considerable potential for enhancing wood properties through a low-energy consumption method during the heat treatment process, expanding the practical application of wood.


Corresponding authors: Zhenyu Wang and Songlin Yi, State Key Laboratory of Efficient Production of Forest Resources, Beijing Key Laboratory of Wood Science and Engineering, MOE Key Laboratory of Wooden Material Science and Application, Beijing Forestry University, Beijing 100086, China, E-mail: (Z. Wang), (S. Yi)

Post-publication correction note: The online publication date was changed from January 1, 2024, to December 30, 2023.


Funding source: National Key R&D Program of China

Award Identifier / Grant number: 2023YFD2201402

Funding source: the Fundamental Research Funds for the Central Universities

Award Identifier / Grant number: BLX202235

Award Identifier / Grant number: BFUKF202315

  1. Research ethics: Not applicable.

  2. Author contributions: Yuxin Zhao: conceptualization, data curation, writing – original draft, writing – review & editing. Luxi He and Jiayi Kang: visualization, validation. Jingjing Gao and Guochen Huo: investigation, formal analysis. Kai Xu, Tinghuan Wang and Zhengbin He: software. Zhenyu Wang: supervision, project administration. Songlin Yi: resources, funding acquisition.

  3. Competing interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

  4. Research funding: This paper was supported by National Key R&D Program of China (2023YFD2201402), the Fundamental Research Funds for the Central Universities (BLX202235) and the Fundamental Research Funds for the Central Universities (BFUKF202315).

  5. Data availability: The raw data can be obtained on request from the corresponding author.

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Received: 2023-08-08
Accepted: 2023-12-14
Published Online: 2023-12-30
Published in Print: 2024-02-26

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