Monitoring of the cellulosic ethanol fermentation process by near-infrared spectroscopy

Pinto, Ariane S.S.; Pereira, Sandra Cerqueira; Ribeiro, M. P. A.; Farinas, Cristiane S.

doi:10.1016/j.biortech.2015.12.069

Cited by 38 publications

(24 citation statements)

References 29 publications

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“…Common vibrational spectroscopes for online monitoring of ethanol fermentation have limitations for application in SCF. For instance, for near-infrared and Raman spectroscopic techniques, the fermentation culture needs to be filtered or precipitated to reduce interference from solids present in suspension [16,18], an approach which is not practical in industry. The use of Fourier transform infrared spectroscopy by Veale et al [17] required the installation of an Attenuated Total Reflectance flow cell to the reactor, making part of the fermentation culture continuously circulate between the fermenter and the flow cell.…”

Section: Discussionmentioning

confidence: 99%

“…Ethanol fermentations operated in batch mode have also been studied using online monitoring approaches, as a way to reduce the intensive labor necessary for offline chemical analysis [15]. For instance, near-infrared [16], Fourier transform infrared [17], and Raman spectroscopies [18] have all been used and mathematically correlated with concentrations of sugars and ethanol or microbial biomass to indicate the status of fermentations. These strategies are promising and could be adapted as monitoring parameters in SCF.…”

Section: Introductionmentioning

confidence: 99%

“…These strategies are promising and could be adapted as monitoring parameters in SCF. However, the possibility of spectroscopic signals being masked or interfered by the presence of solids in the bioreactor [16,18] could be of concern, as is the need to build spectral libraries by calibrating with a large number of samples from various conditions [16,17]. Alternatively, as a co-product of ethanol generation and a proxy for metabolic activity, the CO 2 produced during fermentation could provide a strategy for operation of SCF with S. cerevisiae under anaerobic conditions.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Improved bioethanol productivity through gas flow rate-driven self-cycling fermentation

Wang

Chae

Bressler

et al. 2020

Biotechnol Biofuels

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Background: The growth of the cellulosic ethanol industry is currently impeded by high production costs. One possible solution is to improve the performance of fermentation itself, which has great potential to improve the economics of the entire production process. Here, we demonstrated significantly improved productivity through application of an advanced fermentation approach, named self-cycling fermentation (SCF), for cellulosic ethanol production. Results:The flow rate of outlet gas from the fermenter was used as a real-time monitoring parameter to drive the cycling of the ethanol fermentation process. Then, long-term operation of SCF under anaerobic conditions was improved by the addition of ergosterol and fatty acids, which stabilized operation and reduced fermentation time. Finally, an automated SCF system was successfully operated for 21 cycles, with robust behavior and stable ethanol production. SCF maintained similar ethanol titers to batch operation while significantly reducing fermentation and down times. This led to significant improvements in ethanol volumetric productivity (the amount of ethanol produced by a cycle per working volume per cycle time)-ranging from 37.5 to 75.3%, depending on the cycle number, and in annual ethanol productivity (the amount of ethanol that can be produced each year at large scale)-reaching 75.8 ± 2.9%. Improved flocculation, with potential advantages for biomass removal and reduction in downstream costs, was also observed. Conclusion:Our successful demonstration of SCF could help reduce production costs for the cellulosic ethanol industry through improved productivity and automated operation.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Improved bioethanol productivity through gas flow rate-driven self-cycling fermentation

Wang

Chae

Bressler

et al. 2020

Biotechnol Biofuels

View full text Add to dashboard Cite

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“…It is advantageous to apply PLS2 when the target variables are interdependent or correlated with each other, as is often the case with chemical reactions, and when the correlated y variables possess different error ranges. The dimensions of the analyzers should follow an ecological and economical point of view (Pinto, Pereira, Ribeiro, & Farinas, ; Pinto, Ribeiro, & Farinas, ). Compact spectrometers, that is, small‐dimension analyzers, are flexible, robust and today available for a wide range of applications (Blümich, ; Blümich & Singh, ; Danieli et al, ; Kern et al, ; Killner, Garro Linck, Danieli, Rohwedder, & Blümich, ; Kreyenschulte, Paciok, Regestein, Blümich, & Büchs, ; Meyer, Kern, Zientek, Guthausen, & Maiwald, ; Singh, Danieli, & Blümich, ).…”

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

Application of green analytical chemistry to a green chemistry process: Magnetic resonance and Raman spectroscopic process monitoring of continuous ethanolic fermentation

Legner

Wirtz

Koza

et al. 2019

Biotech & Bioengineering

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Compact 1H NMR and Raman spectrometers were used for real‐time process monitoring of alcoholic fermentation in a continuous flow reactor. Yeast cells catalyzing the sucrose conversion were immobilized in alginate beads floating in the reactor. The spectrometers proved to be robust and could be easily attached to the reaction apparatus. As environmentally friendly analysis methods, 1H NMR and Raman spectroscopy were selected to match the resource‐ and energy‐saving process. Analyses took only a few seconds to minutes compared to chromatographic procedures and were, therefore, suitable for real‐time control realized as a feedback loop. Both compact spectrometers were successfully implemented online. Raman spectroscopy allowed for faster spectral acquisition and higher quantitative precision, NMR yielded more resolved signals thus higher specificity. By using the software Matlab for automated data loading and processing, relevant parameters such as the ethanol, glycerol, and sugar content could be easily obtained. The subsequent multivariate data analysis using partial linear least‐squares regression type 2 enabled the quantitative monitoring of all reactants within a single model in real time.

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Mid‐infrared spectroscopy as a tool for real‐time monitoring of ethanol absorption in glycols

et al. 2020

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Fast, simple, accurate, and inexpensive methods for obtaining analyte concentration data are desirable in the industrial sector. In the present study, the use of Fourier transform mid-infrared (FT-MIR) spectroscopy, combined with partial least squares (PLS) regression, was investigated as a tool for real-time monitoring of processes of ethanol absorption in glycols. Calibration was performed using simple synthetic samples containing ethanol, water, and monoethylene glycol (MEG) or diethylene glycol (DEG). The PLS models presented excellent performance, with correlation coefficients (R 2) close to unity and root-mean-square errors of cross-validation (RMSECV) and prediction (RMSEP) lower than 2% of the calibration data ranges for both analytes (ethanol and water) in both absorbents (MEG and DEG). The monitoring technique developed has potential to be applied in absorption processes and could also be used in other large-scale unit operations, providing information in real time and enhancing process control.

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Monitoring of the cellulosic ethanol fermentation process by near-infrared spectroscopy

Cited by 38 publications

References 29 publications

Improved bioethanol productivity through gas flow rate-driven self-cycling fermentation

Improved bioethanol productivity through gas flow rate-driven self-cycling fermentation

Application of green analytical chemistry to a green chemistry process: Magnetic resonance and Raman spectroscopic process monitoring of continuous ethanolic fermentation

Mid‐infrared spectroscopy as a tool for real‐time monitoring of ethanol absorption in glycols

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