Prediction of Properties of Sclerolobium paniculatum and Qualea grandiflora Charcoal

ABSTRACT There is a lack of techniques for the rapid and accurate determination of wood quality for charcoal production with good energy characteristics. The association of NIR spectroscopy and important charcoal parameters allows the prediction of these characteristics. This is a fast method that does not require sample preparation before the reading. The spectral readings were performed with solid and ground samples, and presented the second best representation of the evaluated parameters. Data went was adjusted to correct for variations that could occur during the spectra reading. The treatment with the best results was the normal transformation of variation. The evaluated spectra were able to explain 77% of the data for the variable gravimetric yield, 88% for volatile materials content and 86% for fixed carbon content.

摘要
目前缺乏可快速、精准测定具备优良能源特性的木炭用木材品质的相关技术。将近红外光谱（NIR spectroscopy）与关键木炭参数相结合，能够实现对这些特性的预测。该方法无需在光谱读取前对样品进行前处理，是一种快速检测手段。光谱读取分别采用固态样品与粉碎后的样品开展，其中粉碎样品对所评估参数的表征效果位列第二。对采集所得数据进行了校正处理，以消除光谱读取过程中可能出现的各类偏差。效果最优的处理方式为变量正态变换。经评估的光谱数据可解释重量得率变量77%的变异、挥发分含量变量88%的变异，以及固定碳含量变量86%的变异。