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首页> 外文期刊>Chemometrics and Intelligent Laboratory Systems >Determination of weight percent gain in solid wood modified with in situ cured furfuryl alcohol by near-infrared reflectance spectroscopy
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Determination of weight percent gain in solid wood modified with in situ cured furfuryl alcohol by near-infrared reflectance spectroscopy

机译:用近红外反射光谱法测定原位固化糠醇改性的实木的增重百分比

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摘要

Near-infrared spectroscopy was used to determine the degree of treatment in Scots pine solid wood modified with in situ cured furfuryl alcohol. The treatment range was approximately 0 to 30percent weight gain relative to wood dry mass. Reflectance near-infrared spectra were recorded - using a conventional, large sample cup - directly on wood surfaces without sample preparation. Partial Least Squares regressions were used to construct a model for weight percent gain; initially for one data set but later extended to an external test set not treated fully in the same way as the original set. This gave rise to an increase in the prediction error which was sought neutralised by addition of a small fraction of the new samples in the original calibration set. Four spectral ranges and 13 pre-processing methods were tested and the final model with addition of 30percent of the new samples in the original calibration set resulted in a model with a Root Mean Square Error of Prediction of 1.7 +- 0.1percent weight gain and a R~(2) of 0.97 +- 0.01.
机译:使用近红外光谱法确定用原位固化糠醇改性的苏格兰松木实木的处理程度。相对于木材干燥质量,处理范围约为0至30%的重量增加。使用常规的大样品杯,无需准备样品即可直接在木材表面上记录近红外光谱的反射率。使用偏最小二乘回归构建体重增加百分比的模型。最初是针对一个数据集,但后来扩展到了外部测试集,但没有以与原始集完全相同的方式进行处理。这就导致了预测误差的增加,这是通过在原始校准集中添加一小部分新样本来抵消的。测试了四种光谱范围和13种预处理方法,最终模型在原始校准集中添加了30%的新样品,最终得出的模型的预测均方根误差为1.7 +-0.1%增重,并且R〜(2)为0.97±0.01。

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