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近红外漫反射光谱信息分解的数量分析
引用本文:张文娟,张录达,李军会,赵龙莲. 近红外漫反射光谱信息分解的数量分析[J]. 光谱学与光谱分析, 2008, 28(8): 1790-1794. DOI: 10.3964/j.issn.1000-0593.2008.08.023
作者姓名:张文娟  张录达  李军会  赵龙莲
作者单位:中国农业大学信息与电气工程学院,北京,100083;中国农业大学理学院,北京,100193
基金项目:国家自然科学基金,国家科技攻关计划,国家高技术研究发展计划(863计划)
摘    要:近红外漫反射光谱分析中,一直认为近红外光可获取样品内部的物质信息,但近红外漫反射光谱包含样品内部信息量究竟是多少,一直未给出准确的数量描述。该研究以烤烟样品为实验材料设计样品,每个实验样品分别由表层片状烤烟与内部烤烟粉末两部分组合而成,测定样品近红外漫反射光谱,提取光谱主成分信息(principal component, PC),将所提取的各主成分的不同组合作为统计指标,对样品进行聚类分析,结合各主成分方差贡献率,初步给出了样品不同深度光谱信息分解量的描述。实验结果表明,近红外漫反射光谱第1和第2主成分包含的信息量约占总信息的98%,反映样品表层信息;第3和第4主成分约占1.5%,表征样品内部信息。这一结果将有助于我们对近红外光谱定性定量分析时主成分信息的选择有一个更深刻的理解。

关 键 词:近红外  信息分解  烤烟
收稿时间:2007-03-13

Quantity Analysis of Information Decomposition for Near-Infrared Diffuse Reflectance Spectra
ZHANG Wen-juan,ZHANG Lu-da,LI Jun-hui,ZHAO Long-lian. Quantity Analysis of Information Decomposition for Near-Infrared Diffuse Reflectance Spectra[J]. Spectroscopy and Spectral Analysis, 2008, 28(8): 1790-1794. DOI: 10.3964/j.issn.1000-0593.2008.08.023
Authors:ZHANG Wen-juan  ZHANG Lu-da  LI Jun-hui  ZHAO Long-lian
Affiliation:1.College of Information and Electrical Engineering, China Agricultural University,Beijing 100083, China2.College of Science, China Agricultural University, Beijing 100193, China
Abstract:Near infrared(NIR) diffuse reflection spectra can be used to obtain samples' chemical component content and physical parameters with few pretreatments.As a fast and nondestructive technique,NIR has been widely accepted.The diffuse reflection light is detected after interaction with sample.Generally,it is thought that the light carries the interior information of sample,but no one can definitely depict how much information of inner sample can be collected.In the present study,three kinds of flue-cured tobacco were used to design our tests.Each kind of tobacco was prepared in two forms,slice and powder.Then we got three slice tobacco samples and three powder tobacco samples.Every experimental sample consisted of one slice tobacco and one powder tobacco.The slice tobacco was put in the bottom of the sample-cup and the powder tobacco was placed on top of the slice tobacco.Combining different slice tobaccos with different powder tobaccos,the authors can get nine experimental samples.Every experimental sample was scanned from the bottom of the sample-cup for each sample using Bruker MPA FT-NIR instrument four times repeatedly,then we got 36 pieces of NIR spectra totally.In order to find the relationship between the deep light penetration and variance contribution rate of different principal components(PC) of NIR spectra,cluster analysis was carried out using different combination of PC.When the first and second PC were chosen,the samples were clustered according to the exterior slice tobacco;Using the third and fourth PC,the samples were clustered according to the interior powder tobacco.Combining the variance contribution rates of different PC,we could elementarily describe NIR spectra information composition according to the path length of the light penetration quantitatively.Results showed that the first and the second PC contained about 98% spectra information which represented the exterior information,and the third and the fourth PC contained about 1.5% which represented the interior information of the sample.These results can help us profoundly understand the importance of PC selection in NIR qualitative and quantitative analysis.
Keywords:Near-infrared  Information decomposition  Flue-cured tobacco
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