Chemometric Models Applied to Raman Spectroscopy for Bioprocess Monitoring

Lisci S.;Mais L.;Corda A.;Tronci S.;Errico M.;Grosso M.

2023-01-01

---

Abstract

This work investigates the development of a Raman spectroscopy-based sensor for the quantitative analysis of products obtained from the fermentation to ethanol of the hydrolyzed product of brewer’s spent grain. Partial least squares (PLS) and variable importance in projection (VIP) methods were applied in order to correlate the information contained in the Raman spectra to the concentration of the compounds investigated.