Journal
ANALYTICAL LETTERS
Volume 40, Issue 16-18, Pages 3383-3391Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/00032710701689081
Keywords
near-infrared reflectance spectroscopy; partial least-squares regression; interval partial least squares (iPLS); quercetin; Ginkgo biloba leaf extract
Categories
Ask authors/readers for more resources
This paper developed a multivariate method of analysis of quercetin in Ginkgo biloba leaf extracts, based on reflectance NIR measurements and partial least squares regression. In order to give a better correlation with the results obtained by HPLC, multiplicative scatter correction (MSC) was utilized to correct scattering effect and interval partial least squares (iPLS) to select optimum wavelength region. In general, good calibration statistics were obtained for the prediction of quercetin content, as demonstrated by some figures of merit, namely linearity, repeatability, and accuracy. And the iPLS model was more reliable than the full model.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available