On-line monitoring of biomass in 1,3-propanediol fermentation by Fourier-transformed near-infrared spectra analysis.
- Author:
Lu WANG
1
;
Tao LIU
1
;
Yang CHEN
2
;
Yaqin SUN
2
;
Zhilong XIU
2
Author Information
- Publication Type:Journal Article
- Keywords: 1,3-propanediol fermentation process; biomass; near-infrared spectra analysis technology; on-line monitoring; partial least-squares (PLS) algorithm
- From: Chinese Journal of Biotechnology 2017;33(1):68-78
- CountryChina
- Language:Chinese
- Abstract: Biomass is an important parameter reflecting the fermentation dynamics. Real-time monitoring of biomass can be used to control and optimize a fermentation process. To overcome the deficiencies of measurement delay and manual errors from offline measurement, we designed an experimental platform for online monitoring the biomass during a 1,3-propanediol fermentation process, based on using the fourier-transformed near-infrared (FT-NIR) spectra analysis. By pre-processing the real-time sampled spectra and analyzing the sensitive spectra bands, a partial least-squares algorithm was proposed to establish a dynamic prediction model for the biomass change during a 1,3-propanediol fermentation process. The fermentation processes with substrate glycerol concentrations of 60 g/L and 40 g/L were used as the external validation experiments. The root mean square error of prediction (RMSEP) obtained by analyzing experimental data was 0.341 6 and 0.274 3, respectively. These results showed that the established model gave good prediction and could be effectively used for on-line monitoring the biomass during a 1,3-propanediol fermentation process.
