Eucalyptus camaldulensis density and fiber length estimated by near-infrared spectroscopy
Eucalyptus camaldulensis density and fiber length estimated by near-infrared spectroscopy
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DOI：
10.1007/s00226-010-0379-6
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发表时间：
2010
影响因子：
3.4
通讯作者：
T. Inagaki;M. Schwanninger;Reina Kato;Y. Kurata;W. Thanapase;P. Puthson;S. Tsuchikawa
中科院分区：
文献类型：
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作者：
T. Inagaki;M. Schwanninger;Reina Kato;Y. Kurata;W. Thanapase;P. Puthson;S. Tsuchikawa
密度和纤维长度属于制浆工业用来作为不同工业过程和最终纸品的木材质量指标的参数。研究了傅里叶变换近红外(FT-NIR)光谱分析技术在泰国速生油松纤维长度和气干密度无损检测中的可行性。用实木的近红外光谱、气干密度和纤维长度进行偏最小二乘回归分析。这是第一次能够高精度和高精度地预测油松实木的纤维长度，获得的性能与偏差比首次完全满足AACC法39-00(AACC1999)在育种计划中进行筛选的要求(RPd和≥(2.5))。对气干密度为3.3%(3.8%)和纤维长度3.5%(3.9%)的近红外-偏最小二乘回归模型的交叉验证(测试集验证)的RPD允许得出结论，这些模型至少适用于育种项目中的筛选，因为它们介于筛选(RPD和≥(2.5)和质量控制(RPD和≥：5)之间。即使在风干密度模型的交叉验证中去除了40%的样本，RPD仍为3.2，这证实了该模型是稳健、稳定的，并且具有很好的预测资格。在这项研究中获得的良好的模型统计可能是由于测量近红外光谱、风干密度和纤维长度的测量地点严格一致。
Density and fiber length belong to the parameters that are used by the pulping industry as indicators of wood quality for different industrial processes and final paper products. The feasibility of Fourier transform near-infrared (FT-NIR) spectroscopy for the non-destructive evaluation of fiber length and air-dry density of fast-growingE.camaldulensisfrom Thailand was investigated using 50 samples. NIR spectra taken from solid wood and air-dry density as well as fiber length were used for partial least squares (PLS) regression analyses. It is the first time that the fiber length ofE.camaldulensissolid wood could be predicted with high accuracy and precision and that the ratios of performance to deviation (RPD) obtained are the first that fully fulfill the requirements of AACC Method 39-00 (AACC 1999) for screening in breeding programs (RPD ≥ 2.5). The RPDs for cross-validation (test set validation) of the NIR-PLS-R models of 3.3 (3.8) for air-dry density and 3.5 (3.9) for fiber length allow drawing the conclusion that the models are at least applicable for screening in breeding programs as they lie in-between screening (RPD ≥ 2.5) and quality control (RPD ≥ 5). Even when 40% of the samples were removed in cross-validation of the air-dry density model, the RPD is 3.2, which confirms that the model is robust, stable, and well qualified for prediction. The good model statistics obtained in this study might be due to the fact that measurement sites for the measurement of NIR spectra, air-dry density, and fiber lengths were strictly coincided.