Article ID Journal Published Year Pages File Type
7562360 Chemometrics and Intelligent Laboratory Systems 2018 28 Pages PDF
Abstract
A Vis-NIR (visible-near infrared) spectroscopy based method for the end-point determination of the column chromatographic processes of Ginkgo biloba was established. In-line collected Vis-NIR spectra were used in conjunction with various multivariate data analysis methods, including moving block standard deviation (MBSD), principal component scores distance analysis (PC-SDA), and principal component analysis-moving block standard deviation (PCA-MBSD) for the end-point determination of the elution process. Compared with the results validated by high performance liquid chromatography (HPLC) determination, PCA-MBSD was chosen as the most suitable method. The presented method provided an alternative solution to the end-point of the column chromatographic processes, which in the long term depends upon the workers' operating experience traditionally.
Related Topics
Physical Sciences and Engineering Chemistry Analytical Chemistry
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