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Analysis of Chemometric Models Applied to Raman Spectroscopy for Monitoring Key Metabolites of Cell Culture | Aspen Xchange
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Analysis of Chemometric Models Applied to Raman Spectroscopy for Monitoring Key Metabolites of Cell Culture



The FDA initiative of Process Analytical Technology (PAT) encourages the monitoring of biopharmaceutical manufacturing processes by innovative solutions. Raman spectroscopy and the chemometric modeling tool partial least squares (PLS) have been applied to this aim for monitoring cell culture process variables. This study compares the chemometric modeling methods of Support Vector Machine radial (SVMr), Random Forests (RF), and Cubist to the commonly used linear PLS model for predicting cell culture components—glucose, lactate, and ammonia. This research is performed to assess whether the use of PLS as standard practice is justified for chemometric modeling of Raman spectroscopy and cell culture data. Learn More