Use of Fourier transform near infrared spectroscopy for the detection of residues from wood processing industry in the pellet sector

M. Mancini, Å. Rinnan, A. Pizzi, G. Toscano
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引用次数: 1

Abstract

Author Summary: With the aim to reduce the dependence on fossil fuels and mitigate climate change, biomass for energy use is becoming more and more important. In particular, wood pellets are gaining greater attention because of the easy logistics and their high energy density in comparison to other solid biomasses. This is also demonstrated by the rapid growth of its demand in Europe. For pellets, traceability is a very important and complex issue, since the feedstock employed is de-structured by grinding and densification and thus losing qualitative information. As a consequence, a multitude of wood sources can participate to their blend in a concealed way, modifying the quality. The international standard EN ISO 17225–2 defines different quality classes for woody pellets taking into consideration chemical-physical parameters and the provenance traceability and composition of the material. In particular, the European standard considers the possibility of using by-products and residues from the wood processing industry, i.e. wood containing glue residues, for pellet production, but Italian national legislation considered these materials like waste. This work aimed at verifying the ability of Fourier Transform–Near-Infrared (FT-NIR) spectroscopy to discriminate between treated and virgin wood. For this purpose, more than one hundred samples of virgin and treated wood deriving from the wood processing industry were collected and analyzed by FT-NIR. The results obtained showed that this technique is able to provide qualitative information about pellet traceability. Therefore, the methodology should be considered as a valid tool for pellet quality control, because it allows to obtain information about the origin of the material used for its production.
利用傅里叶变换近红外光谱法检测木材加工行业颗粒行业的残留物
作者摘要:为了减少对化石燃料的依赖和减缓气候变化,生物质能源的利用变得越来越重要。特别是,与其他固体生物质相比,木质颗粒由于易于物流和高能量密度而受到更大的关注。欧洲对其需求的快速增长也证明了这一点。对于颗粒,可追溯性是一个非常重要和复杂的问题,因为所使用的原料通过研磨和致密化来分解结构,从而失去定性信息。因此,大量的木材来源可以以一种隐蔽的方式参与到它们的混合中,从而改变了质量。国际标准EN ISO 17225-2定义了木质颗粒的不同质量等级,考虑了化学物理参数、来源可追溯性和材料成分。特别是,欧洲标准考虑了使用木材加工工业的副产品和残留物的可能性,即含有胶水残留物的木材,用于颗粒生产,但意大利国家立法认为这些材料是废物。这项工作旨在验证傅里叶变换-近红外(FT-NIR)光谱区分处理木材和原始木材的能力。为此,收集了来自木材加工业的一百多个原始和处理过的木材样本,并通过FT-NIR进行了分析。结果表明,该技术能够提供颗粒溯源的定性信息。因此,该方法应被视为颗粒质量控制的有效工具,因为它允许获得用于其生产的材料来源的信息。
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