Determination of total antioxidant capacity in green tea by near-infrared spectroscopy and multivariate calibration

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....

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Talanta (Oxford) 2004-01, Vol.62 (1), p.25-35
Hauptverfasser:	Zhang, M.H., Luypaert, J., Fernández Pierna, J.A., Xu, Q.S., Massart, D.L.
Format:	Artikel
Sprache:	eng
Schlagworte:	Analytical biochemistry: general aspects, technics, instrumentation Analytical, structural and metabolic biochemistry Biological and medical sciences Fundamental and applied biological sciences. Psychology Green tea Leverage point Multivariate calibration NIR Outlier detection PCR Residual Robust Total antioxidant capacity
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	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.
ISSN:	0039-9140 1873-3573
DOI:	10.1016/S0039-9140(03)00397-7