| Full text | |
| Author(s): |
Santos, Mayara, V
;
Rodrigues, Kaio C. S.
;
Veloso, Ivan I. K.
;
Badino, Alberto C.
;
Cruz, Antonio J. G.
Total Authors: 5
|
| Document type: | Journal article |
| Source: | Industrial & Engineering Chemistry Research; v. 61, n. 21, p. 10-pg., 2022-06-01. |
| Abstract | |
The Fourier transform mid-infrared (FT-MIR) spectroscopy technique, with multivariate calibration by the partialleast-squares (PLS) regression method, was used for real-time monitoring of the ethanol molar fraction in the gas phase duringethanol fermentation. The PLS model was obtained using a calibration set constructed of gas streams with different molar fractionproportions and the corresponding FT-MIR spectra. The molar fraction compositions were calculated by combining thermodynamicassumptions and mass balances. The proposed model presented excellent performance when the spectra were submitted topretreatment using middle center (MC), smoothed moving average (SMA), and second derivative (secondD). The determinationcoefficient for the model revealed an excellentfit to the experimental data (R2= 0.999). The root-mean-square error of cross-validation (RMSECV) and the root-mean-square error of prediction (RMSEP) were less than 1.6 and 1.9% of the range of values,respectively, indicative of excellent predictive capacity. The high values of the range error ratio (RER = 52.52) and the ratio of thestandard error of performance to the standard deviation (RPD = 17.54) provided further evidence of the excellent resolution of themodel, which was used for carrying out quantitative analyses of ethanol in the gas phase. A set of fermentations performed in batchand fed-batch modes was used to evaluate the predictive capacity of the model. The data for the molar fraction of ethanol in the gasphase were used to estimate the ethanol and substrate concentrations in the liquid phase. Thefindings demonstrated that analysis ofthe gas phase using the FT-MIR/PLS technique is a reliable strategy for real-time monitoring of ethanol fermentation under different operational modes, without any sample manipulation (AU) | |
| FAPESP's process: | 18/11405-5 - Extractive Ethanol Fermentation in Pneumatic Bioreactors with Removal by CO2 Stripping Integrated to Recovery Units |
| Grantee: | Alberto Colli Badino Junior |
| Support Opportunities: | Regular Research Grants |