4.6 Article

Functional Wood-Foam Composites for Controlled Uptake and Release

期刊

ACS SUSTAINABLE CHEMISTRY & ENGINEERING
卷 9, 期 46, 页码 15571-15581

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acssuschemeng.1c05695

关键词

cellulose nanomaterials; functional wood composites; functional nanocellulose foams; shear thinning; CO2 uptake; hierarchical structure

资金

  1. Vinnova
  2. Swedish Energy Agency
  3. Formas [2018-04979]
  4. Vinnova [2018-04979] Funding Source: Vinnova
  5. Swedish Research Council [2018-04979] Funding Source: Swedish Research Council

向作者/读者索取更多资源

Wood-foam hierarchical composites were produced by shear-forced infiltration of shear-thinning nanocellulose-based foams or gels into the tracheids of Picea abies. The functional foams showed reversible CO2 adsorption and release of mosquito-repellent compounds, demonstrating the potential application of this simple route for hierarchically porous composites based on renewable materials.
Wood-foam hierarchical composites were produced via the shear-forced infiltration of shear-thinning nanocellulose-based foams or gels into the tracheids of Picea abies. Shear processing viscoelastic and shear-thinning aqueous foams composed of cellulose nanocrystals, methylcellulose, and tannic acid (total solids content: 2 wt %) resulted in foam-filled wood composites containing 15-20 wt % foam, with open foam structures and compression strengths similar to those of unmodified P. abies. An amino-functionalized nanocellulose-containing foam confined in wood reversibly adsorbed CO2, retaining 15% of its theoretical uptake capacity over 50 cycles in the thermogravimetric analyzer, and a citronellol-loaded foam released this mosquito-repellent compound over four days, as evaluated using solid-phase microextraction. Shear-forced infiltration of functional foams into wood is an operationally simple route to hierarchically porous composites based on renewable materials.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据