WoodTec Group, Cellulose & Wood Materials, Empa, CH-8600 Dübendorf, Switzerland.
Wood Materials Science, Institute for Building Materials, ETH Zürich, CH-8093 Zurich, Switzerland.
Chem Rev. 2023 Mar 8;123(5):1889-1924. doi: 10.1021/acs.chemrev.2c00360. Epub 2022 Dec 19.
Wood is a renewable resource with excellent qualities and the potential to become a key element of a future bioeconomy. The increasing environmental awareness and drive to achieve sustainability is leading to a resurgence of research on wood materials. Nevertheless, the global climate changes and associated consequences will soon challenge the wood-value chains in several regions (e.g., central Europe). To cope with these challenges, it is necessary to rethink the current practice of wood sourcing and transformation. The goal of this review is to address the intrinsic natural diversity of wood, from its origin to its technological consequences for the present and future manufacturing of wood products. So far, industrial processes have been optimized to repress the variability of wood properties, enabling more efficient processing and production of reliable products. However, the need to preserve biodiversity and the impact of climate change on forests call for new wood processing techniques and green chemistry protocols for wood modification as enabling factors necessary for managing a more diverse wood provision in the future. This article discusses the past developments that have resulted in the current wood value chains and provides a perspective about how natural variability could be turned into an asset for making truly sustainable wood products. After briefly introducing the chemical and structural complexity of wood, the methods conventionally adopted for industrial homogenization and modification of wood are discussed in relation to their evolution toward increased sustainability. Finally, a perspective is given on technological potentials of machine learning techniques and of novel functional wood materials. Here the main message is that through a combination of sustainable forestry, adherence to green chemistry principles and adapted processes based on machine learning, the wood industry could not only overcome current challenges but also thrive in the near future despite the awaiting challenges.
木材是一种具有优良品质的可再生资源,有潜力成为未来生物经济的关键元素。日益增强的环境意识和实现可持续发展的动力,促使人们对木材材料的研究重新兴起。然而,全球气候变化及其带来的后果将很快挑战多个地区(如中欧)的木材价值链。为了应对这些挑战,有必要重新思考当前的木材采购和转化实践。本文的目的是探讨木材从起源到对当前和未来木制品制造的技术影响的固有天然多样性。到目前为止,工业流程已经过优化,可以抑制木材性能的可变性,从而实现更高效的加工和生产可靠的产品。然而,保护生物多样性的需要以及气候变化对森林的影响要求采用新的木材加工技术和绿色化学协议来进行木材改性,这是未来管理更多样化木材供应的必要促成因素。本文讨论了导致当前木材价值链的过去发展,并就如何将天然可变性转化为制造真正可持续木材产品的资产提供了一些看法。在简要介绍木材的化学和结构复杂性之后,讨论了传统上用于工业均匀化和木材改性的方法,以及它们朝着提高可持续性的方向发展。最后,对机器学习技术和新型功能木材材料的技术潜力进行了展望。这里的主要信息是,通过可持续林业的结合、坚持绿色化学原则以及基于机器学习的适应性工艺,木材行业不仅可以克服当前的挑战,而且可以在未来蓬勃发展,尽管还面临着挑战。