Home > Advanced Control of Chemical Processes > 2006 International Symposium on Advanced Control of Chemical Processes > Factors affecting on-line estimation of diastereomer composition using Raman spectroscopy
Factors affecting on-line estimation of diastereomer composition using Raman spectroscopy
Advanced Control of Chemical Processes, Volume # 6 | Part# 1
Location: , Brazil
General Chair: Jorge Otavio Trierweiler
Program Chair: Francis J. Doyle, III.
Conference Editor: Francis J. Doyle, III.,
Jorge Otavio Trierweiler,
Argimiro R. Secchi,
Mehmet Mercangoz,
Luciane S. Ferreira
Posted online: 05-01-2008 29:23:14
Authors
Sze-Wing Wong, Christos Georgakis, Gregory Botsaris, Kostas Saranteas, Roger Bakale
Identifier
None
Index Terms
calibration,prediction method,regression analysis,and spectra correlation
Abstract
This paper addresses the estimation of fractional composition of two diastereomers during crystallization. The estimation is obtained through a Partial Least Square (PLS) model that utilizes on-line Raman spectroscopy and additional process information such as temperature and slurry density. Several PLS models are developed that incorporate conditions that either neglect or account for variability in the additional process variables. It is argued that the model that incorporates both temperature and slurry density is the most accurate.
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