Monitoring of sugars adsorption breakthrough curves with online Raman spectroscopy
Résumé
We introduce a new application for online Raman spectroscopy to monitor adsorption breakthrough curves of a
glucose and xylose mixtures. Univariate and multivariate Partial Least Squares (PLS) calibration models are
developed for each sugar when they are dissolved in water and in the case of the ethanol addition as a cosolvent.
The models are validated by performing actual breakthrough experiments in a liquid phase using a column
packed with a zeolite adsorbent. The first statistical moments of predicted curves are compared to the reference
curves obtained with offline High-Performance Liquid Chromatography (HPLC). Glucose and xylose univariate
predictions in the presence or absence of ethanol in the mixture are accurate and no improvements are found
with the PLS models. Spectral subtraction coupled with the first derivative proved to be effective pretreatments
to develop robust univariate models.
Domaines
Chimie analytique
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Monitoring_of_Sugar.pdf (3.55 Mo)
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SupportingMatérials1_Monitoring_of_Sugar .pdf (155.4 Ko)
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Origine : Publication financée par une institution
Licence : CC BY - Paternité
Licence : CC BY - Paternité
Origine : Fichiers produits par l'(les) auteur(s)
Licence : CC BY - Paternité
Licence : CC BY - Paternité