Real-time understanding of lignocellulosic bioethanol fermentation by Raman spectroscopy
<p>Abstract</p> <p>Background</p> <p>A substantial barrier to commercialization of lignocellulosic ethanol production is a lack of process specific sensors and associated control strategies that are essential for economic viability. Current sensors and analytical techni...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2013-02-01
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| Series: | Biotechnology for Biofuels |
| Online Access: | http://www.biotechnologyforbiofuels.com/content/6/1/28 |
| _version_ | 1811245793361788928 |
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| author | Ewanick Shannon M Thompson Wesley J Marquardt Brian J Bura Renata |
| author_facet | Ewanick Shannon M Thompson Wesley J Marquardt Brian J Bura Renata |
| author_sort | Ewanick Shannon M |
| collection | DOAJ |
| description | <p>Abstract</p> <p>Background</p> <p>A substantial barrier to commercialization of lignocellulosic ethanol production is a lack of process specific sensors and associated control strategies that are essential for economic viability. Current sensors and analytical techniques require lengthy offline analysis or are easily fouled in situ. Raman spectroscopy has the potential to continuously monitor fermentation reactants and products, maximizing efficiency and allowing for improved process control.</p> <p>Results</p> <p>In this paper we show that glucose and ethanol in a lignocellulosic fermentation can be accurately monitored by a 785 nm Raman spectroscopy instrument and novel immersion probe, even in the presence of an elevated background thought to be caused by lignin-derived compounds. Chemometric techniques were used to reduce the background before generating calibration models for glucose and ethanol concentration. The models show very good correlation between the real-time Raman spectra and the offline HPLC validation.</p> <p>Conclusions</p> <p>Our results show that the changing ethanol and glucose concentrations during lignocellulosic fermentation processes can be monitored in real-time, allowing for optimization and control of large scale bioconversion processes.</p> |
| first_indexed | 2024-04-12T14:44:28Z |
| format | Article |
| id | doaj.art-92be4380235b42b7b2de05293fee3b03 |
| institution | Directory Open Access Journal |
| issn | 1754-6834 |
| language | English |
| last_indexed | 2024-04-12T14:44:28Z |
| publishDate | 2013-02-01 |
| publisher | BMC |
| record_format | Article |
| series | Biotechnology for Biofuels |
| spelling | doaj.art-92be4380235b42b7b2de05293fee3b032022-12-22T03:28:43ZengBMCBiotechnology for Biofuels1754-68342013-02-01612810.1186/1754-6834-6-28Real-time understanding of lignocellulosic bioethanol fermentation by Raman spectroscopyEwanick Shannon MThompson Wesley JMarquardt Brian JBura Renata<p>Abstract</p> <p>Background</p> <p>A substantial barrier to commercialization of lignocellulosic ethanol production is a lack of process specific sensors and associated control strategies that are essential for economic viability. Current sensors and analytical techniques require lengthy offline analysis or are easily fouled in situ. Raman spectroscopy has the potential to continuously monitor fermentation reactants and products, maximizing efficiency and allowing for improved process control.</p> <p>Results</p> <p>In this paper we show that glucose and ethanol in a lignocellulosic fermentation can be accurately monitored by a 785 nm Raman spectroscopy instrument and novel immersion probe, even in the presence of an elevated background thought to be caused by lignin-derived compounds. Chemometric techniques were used to reduce the background before generating calibration models for glucose and ethanol concentration. The models show very good correlation between the real-time Raman spectra and the offline HPLC validation.</p> <p>Conclusions</p> <p>Our results show that the changing ethanol and glucose concentrations during lignocellulosic fermentation processes can be monitored in real-time, allowing for optimization and control of large scale bioconversion processes.</p>http://www.biotechnologyforbiofuels.com/content/6/1/28 |
| spellingShingle | Ewanick Shannon M Thompson Wesley J Marquardt Brian J Bura Renata Real-time understanding of lignocellulosic bioethanol fermentation by Raman spectroscopy Biotechnology for Biofuels |
| title | Real-time understanding of lignocellulosic bioethanol fermentation by Raman spectroscopy |
| title_full | Real-time understanding of lignocellulosic bioethanol fermentation by Raman spectroscopy |
| title_fullStr | Real-time understanding of lignocellulosic bioethanol fermentation by Raman spectroscopy |
| title_full_unstemmed | Real-time understanding of lignocellulosic bioethanol fermentation by Raman spectroscopy |
| title_short | Real-time understanding of lignocellulosic bioethanol fermentation by Raman spectroscopy |
| title_sort | real time understanding of lignocellulosic bioethanol fermentation by raman spectroscopy |
| url | http://www.biotechnologyforbiofuels.com/content/6/1/28 |
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