Journal
BIORESOURCE TECHNOLOGY
Volume 142, Issue -, Pages 131-137Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.biortech.2013.05.008
Keywords
Microalgae; Partial Least Squares; On-line monitoring; Rolling-Circle Filter
Funding
- National Research Foundation of Korea (NRF)
- Ministry of Education, Science and Technology [NRF-2012R1A1A1011022, ABC-2012M3A6A2053881]
- Advanced Biomass R&D Center (ABC) of Global Frontier Project
Ask authors/readers for more resources
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. (C) 2013 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available