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[基于自适应核独立成分分析的活性二氧化锰产品中添加剂光谱信息提取]

[Extraction of spectral information of additives from activated manganese dioxide products using adaptive kernel independent component analysis].

作者信息

Wang Guo-qing, Peng Yang, Liu Shao-wen, Sun Xiao-li, Zhao Jian-bo, Sun Yu-an, Liu Ying-fan

机构信息

Department of Applied Chemistry, Zhengzhou University of Light Industry, Zhengzhou 450002, China.

出版信息

Guang Pu Xue Yu Guang Pu Fen Xi. 2011 May;31(5):1340-3.

Abstract

The additives were abstracted from the manganese dioxide products with four kinds of organic solvents, ether, acetone, chloroform and toluene. The extracts were then baked and their attenuated total reflectance (ATR) FTIR spectra were measured using liquid membrane method. The number of chemical components of the additives was determined by median absolute deviation (MAD), and the spectral information of the pure component was extracted by kernel independent component analysis (KICA). The extracted spectral information of the additives is accordant to that of the practically used compounds. An adaptive kernel independent component analysis (AKICA) was proposed for directive extraction of spectral information from chemical mixtures. The results demonstrated that the AKICA method provides an alternative approach to extracting spectral information from the chemical mixtures without previously chemical or physical preseparation for direct extracting spectral information of pure components in the mixed system.

摘要

用乙醚、丙酮、氯仿和甲苯四种有机溶剂从二氧化锰产品中提取添加剂。然后将提取物烘干,并采用液膜法测量其衰减全反射(ATR)傅里叶变换红外光谱。用中位数绝对偏差(MAD)确定添加剂的化学成分数量,并通过核独立成分分析(KICA)提取纯成分的光谱信息。所提取的添加剂光谱信息与实际使用的化合物的光谱信息一致。提出了一种自适应核独立成分分析(AKICA)方法用于从化学混合物中定向提取光谱信息。结果表明,AKICA方法提供了一种从化学混合物中提取光谱信息的替代方法,无需事先进行化学或物理预分离即可直接提取混合体系中纯成分的光谱信息。

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