摘要
应用近红外光谱法对慈竹微纤丝角和纤维长度进行快速预测研究。采用X射线衍射法和显微镜法分别测定慈竹微纤丝角和纤维长度,并用光纤漫反射模式采集近红外光谱,对原始光谱分别进行消噪和消噪与正交信号校正相结合预处理,建立偏最小二乘(PLS)数学模型,对比分析模型预测能力。结果表明,慈竹微纤丝角和纤维长度原始光谱经消噪和正交信号校正二者结合预处理后,所建PLS模型比相应原始光谱模型预测能力显著提高,其预测模型相关系数(R)分别达到0.893 6和0.988 3,预测标准差(RMSEP)为0.292 0和0.146 0,校正预测模型均具有很好的相关性,表明近红外光谱法可以实现慈竹微纤丝角和纤维长度的预测。
Near infrared spectroscopy was applied to rapidly predict microfibril angle（MFA）and fiber length of Neosinocalamusaffinis Keng by using a fiber-optic probe in diffuse reflectance mode.The MFA and fiber length were measured by X-ray diffractometry and optical microscope,respectively.Partial least squares（PLS）was used to build models based on raw and pretrea-ted spectra,including noise spectra and noise combined with orthogonal signal correction（OSC）spectra.The results showed that the PLS models of MFA and fiber length,based on noise combined with OSC spectra,gave the strongest correlations,withcorrelation coefficient（R）of 0.893 6and 0.988 3and root mean standard error of prediction（RMSEP）of 0.292 0and 0.146 0in prediction set.The correlations between NIR predicted and MFA/fiber length actual values are very good.Therefore,it isconcluded that MFA and fiber length of N.affinis can be estimated by NIR spectroscopy with sufficient accuracy.
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
2011年第12期3251-3255,共5页
Spectroscopy and Spectral Analysis
基金
国家"十一五"科技支撑课题项目(2006BAD19B0704)
北京市自然科学基金项目(6092021)资助
关键词
近红外光谱法
偏最小二乘
正交信号校正
慈竹
微纤丝角
纤维长度
Near infrared spectroscopy
Partial least squares
Orthogonal signal correction
Neosinocalamus affinis Keng
Microfibril angle
Fiber length
