This study investigated the feasibility of using near infrared spectroscopy technology to predict color and chemical composition in the heat-treated bamboo processing industry. The quantitative presentations of the changes in the chemical components were discussed using the difference spectra method of the 2nd derivative NIR spectra of the heat-treated bamboo samples. Then, the relationships between the color changes of the heat-treated bamboo and its near infrared spectra were constructed using the changes in the chemical components of the bamboo samples during the heating process. The prediction of color and chemical composition of both the outer and inner sides of the heat-treated bamboo surface were constructed using partial least squares regression method combined with a leave-one-out cross-validation process. Then, the results were validated by independent sample sets. The proposed prediction models were found to produce high r2P (above 0.93), RPD (above 3.13), and low RMSEP for both the outer and inner sides of the heat-treated bamboo samples. These studies’ results confirmed that the proposed models, especially outer side models, were perfectly suitable for the in-process inspections of the color and chemical content changes of heat-treated bamboo.

中文翻译：

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近红外光谱评估热处理竹子颜色和化学成分的变化

本研究调查了使用近红外光谱技术预测热处理竹加工行业颜色和化学成分的可行性。使用热处理竹样品的二阶导数近红外光谱的差分光谱法讨论了化学成分变化的定量表示。然后，利用加热过程中竹样品化学成分的变化，构建了热处理竹的颜色变化与其近红外光谱之间的关系。使用偏最小二乘回归方法结合留一法交叉验证过程构建了对热处理竹子表面外侧和内侧的颜色和化学成分的预测。然后，结果得到了独立样本集的验证。发现所提出的预测模型对热处理竹样品的外侧和内侧产生高 r2P（高于 0.93）、RPD（高于 3.13）和低 RMSEP。这些研究的结果证实，所提出的模型，特别是外侧模型，非常适合热处理竹子的颜色和化学成分变化的过程检查。