Partial Least Squares Regression-Based Robust Forward Control of the Tableting Process

In this study, we established a robust feed-forward control model for the tableting process by partial least squares regression using the near-infrared (NIR) spectra and physical attributes of the granules to be compressed. The NIR spectra of granules are rich in information about chemical attribute...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Pharmaceutics Jg. 12; H. 1; S. 85
Hauptverfasser:	Hattori, Yusuke, Naganuma, Miki, Otsuka, Makoto
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 20.01.2020 MDPI
Schlagworte:	Accuracy Automation Cellulose feed-forward control high-shear wet granulation Manufacturing Moisture content near-infrared spectroscopy partial least squares regression Particle size Pharmaceuticals Polymorphism Process controls process data analysis Product quality robust control Spectrum analysis tableting Japan Germany high-shear wet granulation near-infrared spectroscopy partial least squares regression robust control feed-forward control tableting process data analysis
ISSN:	1999-4923, 1999-4923
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!