Study on the Application of NAS-Based Algorithm in the NIR Model Optimization

• Published in: Guang pu xue yu guang pu fen xi Vol. 35; no. 10; p. 2730
• Main Authors: Geng, Ying, Xiang, Bing-ren, He, Lan
• Format: Journal Article
• Language: Chinese
• Published: China 01.10.2015
• Subjects: Algorithms; Calibration; Models, Theoretical
• ISSN: 1000-0593
• DOI: 10.3964/j.issn.1000-0593(2015)10-2730-04

In this paper, net analysis signal (NAS)-based concept was introduced to the analysis of multi-component Ginkgo biloba leaf extracts. NAS algorithm was utilized for the preprocessing of spectra, and NAS-based two-dimensional correlation analysis was used for the optimization of NIR model building. Simultaneous quantitative models for three flavonol aglycones: quercetin, keampferol and isorhamnetin were established respectively. The NAS vectors calculated using two algorithms introduced from Lorber and Goicoechea and Olivieri (HLA/GO) were applied in the development of calibration models, the reconstructed spectra were used as input of PLS modeling. For the first time, NAS-based two-dimensional correlation spectroscopy was used for wave number selection. The regions appeared in the main diagonal were selected as useful regions for model building. The results implied that two NAS-based preprocessing methods were successfully used for the analysis of quercetin, keampferol and isorhamnetin with a decrease of fact