Spectroscopic Analysis Supported by Chemometric Tools for Quality Control of Plant- and Animal-Based Matrices

被引：0
|
作者：
Burmistrova, Natalia A. [1 ]
Krivetc, Olga O. [1 ]
Soboleva, Polina M.
Monakhova, Yulia B. [1 ,2 ]
机构：
[1] Saratov NG Chernyshevskii State Univ, Inst Chem, 83 Astrakhanskaya Str, Saratov 410012, Russia
[2] Spectral Serv AG, Emil Hoffmann Str 33, D-50996 Cologne, Germany
来源：
SARATOV FALL MEETING 2018: OPTICAL AND NANO-TECHNOLOGIES FOR BIOLOGY AND MEDICINE | 2019年 / 11065卷
基金：
俄罗斯科学基金会;
关键词：
UV-spectroscopy; chemometrics; principal component analysis; SIMCA; independent component analysis; aloin; heparin;
D O I：
10.1117/12.2521389
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Plant-based and animal-based matrices are widely used in various fields, in particular, in food, perfume and drug production. This requires permanent quality monitoring of their composition. The composition complexity of such matrices complicates the usage of traditional spectroscopic methods for their analysis. In the current study we demonstrate how the efficiency of UV-spectroscopy approach can be increased when combined with chemometric algorithms on the example of Aloe Vera and heparin matrices.
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页数：6
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