| Literature DB >> 18969259 |
M H Zhang1, J Luypaert, J A Fernández Pierna, Q S Xu, D L Massart.
Abstract
A principal component regression (PCR) model is built for prediction of total antioxidant capacity in green tea using near-infrared (NIR) spectroscopy. The modelling procedures are systematically studied with the focus on outlier detection. Different outlier detection methods are used and compared. The root mean square error of prediction (RMSEP) of the final model is comparable to the precision of the reference method.Year: 2004 PMID： 18969259 DOI： 10.1016/S0039-9140(03)00397-7
Source DB: PubMed Journal: Talanta ISSN： 0039-9140 Impact factor: 6.057