Mancini Manuela, Rinnan Åsmund
Department of Food Science, Faculty of Science, University of Copenhagen, Rolighedsvej 26, 1958, Frederiksberg C, Denmark.
Department of Food Science, Faculty of Science, University of Copenhagen, Rolighedsvej 26, 1958, Frederiksberg C, Denmark.
Anal Chim Acta. 2023 Sep 22;1275:341564. doi: 10.1016/j.aca.2023.341564. Epub 2023 Jul 4.
In Europe, the volume of waste wood is increasing. Waste wood can be reused, promoting circular economy and avoiding landfills. It can be used as a bioenergy feedstock reducing the use of fossil fuels, or be reused for producing new composite wood material. Only wood with hazardous substances needs to be disposed. To this aim waste wood samples were collected from a panel board company and several recycling centres in Italy and Denmark. The samples were assigned to waste wood categories and analysed by Near Infrared Spectroscopy. Principal Component Analysis was used to investigate sample variability and Soft Independent Modelling of Class Analogies (SIMCA) for classifying the samples according to the appropriate reuse: energy production, panel board production or landfill. The results are good, with a classification rate of 90% for virgin wood material and 86.7% for treated wood material. The classification of waste wood is key for turning it into a secondary resource.
在欧洲，废木材的数量正在增加。废木材可以再利用，促进循环经济并避免填埋。它可以用作生物能源原料，减少化石燃料的使用，或者再用于生产新的复合木材材料。只有含有有害物质的木材才需要进行处理。为此，从意大利和丹麦的一家刨花板公司和几个回收中心收集了废木材样本。将样本归类为废木材类别，并通过近红外光谱进行分析。主成分分析用于研究样本变异性，而类类比软独立建模（SIMCA）则用于根据适当的再利用方式对样本进行分类：能源生产、刨花板生产或填埋。结果良好，原生木材材料的分类准确率为90%，处理过的木材材料为86.7%。废木材的分类是将其转化为二次资源的关键。
