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| 基于近红外光谱和偏最小二乘法的慈竹纤维素结晶度预测研究 | |
| 引用本文： | Sun BL,Liu JL,Cai YB. 基于近红外光谱和偏最小二乘法的慈竹纤维素结晶度预测研究[J]. 光谱学与光谱分析, 2011, 31(2): 366-370. DOI: 10.3964/j.issn.1000-0593(2011)02-0366-05 |
| 作者姓名： | Sun BL Liu JL Cai YB |
| 作者单位： | 中国林业科学研究院木材工业研究所,北京,100091 |
| 基金项目： | 国家“十一五”科技支撑计划项目(2006BAD19B0704)资助 |
| 摘 要： | 将近红外光谱技术和化学计量学相结合分析慈竹纤维素结晶度。通过区间偏最小二乘法(iPLS)、联合区间偏最小二乘法(siPLS)和反向区间偏最小二乘法(biPLS)优化建模区域,建立经多元散射校正后光谱的结晶度分析模型,并与全光谱范围350～2 500nm建立的偏最小二乘(PLS)模型进行比较。结果表明,三种改进偏最小二乘法建立的结晶度模型预测效果均优于PLS模型,并且当采用联合区间偏最小二乘法将全光谱进行30个子区间划分,选择三个子区间[8 12 19]组合时,建立的siPLS模型预测效果最好,相关系数(r)达到0.88,预测标准差(RMSEP)为0.0117。因此,采用联合区间偏最小二乘法可以有效选择建模光谱区域,提高模型预测能力,实现慈竹纤维素结晶度的快速预测。 |
| 关 键 词： | 近红外光谱 联合区间偏最小二乘法 慈竹 结晶度 |
Determination of crystallinity in Neosinocalamus affinins based on near infrared spectroscopy and PLS methods |
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| Sun Bai-Ling,Liu Jun-Liang,Cai Yu-Bo. Determination of crystallinity in Neosinocalamus affinins based on near infrared spectroscopy and PLS methods[J]. Spectroscopy and Spectral Analysis, 2011, 31(2): 366-370. DOI: 10.3964/j.issn.1000-0593(2011)02-0366-05 | |
| Authors: | Sun Bai-Ling Liu Jun-Liang Cai Yu-Bo |
| Affiliation: | SUN Bai-ling,LIU Jun-liang,CAI Yu-bo Research Institute of Wood Industry,Chinese Academy of Forestry,Beijing 100091,China |
| Abstract: | Near infrared spectroscopy technique combined with chemometrics methods was applied to predict crystallinity of Neosinocalamus affinins.Three improved partial least squares(PLS) methods,including interval partial least squares(iPLS),synergy interval partial least squares(siPLS) and backward interval partial least squares(biPLS),were used to find the most informative ranges and build models with better predictive quality based on multiplicative scatter correction spectra.And then the models were compared wit... |
| Keywords: | Near infrared spectroscopy Synergy interval partial least squares Neosinocalamus affinins Crystallinity |
| 本文献已被 CNKI 万方数据 PubMed 等数据库收录！ | |