MULTIVARIATE ANALYSIS OF CHITIN AND CHITOSAN FROM MARINE WASTE: CLASSIFICATION AND PROPERTY ESTIMATION USING INFRARED SPECTRA

被引：0
|
作者：
Paduretu, Carla-Cezarina [1 ]
Isopescu, Raluca Daniela [2 ]
Rau, Ileana [1 ]
机构：
[1] Univ Politehn Bucuresti, Dept Gen Chem, Bucharest, Romania
[2] Univ Politehn Bucuresti, Dept Chem & Biochem Engn, Bucharest, Romania
来源：
UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES B-CHEMISTRY AND MATERIALS SCIENCE | 2021年 / 83卷 / 03期
关键词：
chitosan; chitin; marine waste; infrared spectra; PCA-LDA; PLS; PCA-LDA; DEACETYLATION; SPECTROSCOPY; EXTRACTION;
D O I：
暂无
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
The infrared spectrum of chitin/chitosan samples could provide valuable information regarding the geographical and/or biological origin of species, and at the same time it can be used for a rapid estimation of the deacetylation degree. As the number of independent variables is very high, principal component analysis (PCA) was applied for dimensionality reduction, while the linear discriminant analysis (LDA) was used for modelling the differences between distinct classes. The deacetylation degree of new chitin/chitosan samples can be rapidly predicted using the infrared spectra by partial least squares (PLS) method.
引用
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页码：171 / 184
页数：14
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