title: Real-time estimation of glucose concentration in algae cultivation system using Raman spectroscopy.
abstract: This work proposes a soft-sensor design for real-time estimation of glucose concentration under mixotrophic conditions using Raman spectroscopy. The suggested approach applies a Rolling-Circle Filter (RCF), Partial Least Squares (PLS), and a successive Savitzky-Golay (SG) smoothing filter. RCF is used to remove the background effects of Raman spectrum in the pre-processing step. PLS is used to reduce the dimensionality of spectrum data and relate them to the concentration. The SG filter is further employed as a post-processing step in a successive manner to adjust predicted glucose concentrations. Two sets of experiments using artificial assays and samples from a microalgae cultivation system were performed for verification. The proposed approach showed improved prediction performances compared to other data processing and regression techniques.
authors.affiliation: School of Chemical and Biological Engineering, Institute of Chemical Processes, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 151-744, Republic of Korea.
authors.forename: Se-Kyu
authors.initials: SK
authors.lastname: Oh
authors.forename: Sung Jin
authors.initials: SJ
authors.lastname: Yoo
authors.forename: Dong Hwi
authors.initials: DH
authors.lastname: Jeong
authors.forename: Jong Min
authors.initials: JM
authors.lastname: Lee
mesh_terms: D005947:Glucose / Q000032:analysis*; D016018:Least-Squares Analysis; D058086:Microalgae / Q000737:chemistry*; D013059:Spectrum Analysis, Raman / Q000379:methods*
chemical_list: D005947:Glucose
keywords: Microalgae; On-line monitoring; Partial Least Squares; Rolling-Circle Filter