Literature DB >> 17311406

An on-line approach to monitor ethanol fermentation using FTIR spectroscopy.

Ennis L Veale1, Joseph Irudayaraj, Ali Demirci.   

Abstract

Fermentation process control is currently limited by its inability to measure parameters such as substrate, product, and biomass concentrations rapidly for consistent on-line feedback. Physical and chemical parameters, such as temperature and pH, currently can be obtained on-line using appropriate sensors. However, to obtain information on the concentration of the substrate, product, and biomass, samples must be taken off-line for measurement. With the use of spectroscopic techniques, real-time monitoring of process constituents such as product and substrate is possible. Spectroscopic techniques are rapid and nondestructive, require minimal or no sample preparation, and can be used to simultaneously assess several constituents in complex matrices. The production of ethanol is the largest fermentation process in terms of production volume and economic value as a result of its prominence in the food, agricultural, and fuel industries. This study attempts to develop an on-line ethanol fermentation monitoring technique using Fourier transform infrared (FTIR) spectroscopy with a flow-through ATR capability. Models developed using multivariate statistics, employed to obtain on-line FTIR measurements, were successfully validated by off-line HPLC analysis and spectrophotometry data. Standard errors of prediction (SEP) values of 0.985 g/L (R2 = 0.996), 1.386 g/L (R2 = 0.998), and 0.546 (R2 = 0.972) were obtained for ethanol, glucose, and OD, respectively. This work demonstrates that FTIR spectroscopy could be used for rapid on-line monitoring of fermentation.

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Year:  2007        PMID: 17311406     DOI: 10.1021/bp060306v

Source DB:  PubMed          Journal:  Biotechnol Prog        ISSN: 1520-6033


  9 in total

Review 1.  Biomass measurement online: the performance of in situ measurements and software sensors.

Authors:  Kristiina Kiviharju; Kalle Salonen; Ulla Moilanen; Tero Eerikäinen
Journal:  J Ind Microbiol Biotechnol       Date:  2008-04-08       Impact factor: 3.346

2.  Multi-analyte quantification in bioprocesses by Fourier-transform-infrared spectroscopy by partial least squares regression and multivariate curve resolution.

Authors:  Cosima Koch; Andreas E Posch; Héctor C Goicoechea; Christoph Herwig; Bernhard Lendl
Journal:  Anal Chim Acta       Date:  2013-11-11       Impact factor: 6.558

3.  A dynamic method for the investigation of induced state metabolic capacities as a function of temperature.

Authors:  Patrick Sagmeister; Timo Langemann; Patrick Wechselberger; Andrea Meitz; Christoph Herwig
Journal:  Microb Cell Fact       Date:  2013-10-15       Impact factor: 5.328

4.  Microtiter plate cultivation of oleaginous fungi and monitoring of lipogenesis by high-throughput FTIR spectroscopy.

Authors:  Gergely Kosa; Achim Kohler; Valeria Tafintseva; Boris Zimmermann; Kristin Forfang; Nils Kristian Afseth; Dimitrios Tzimorotas; Kiira S Vuoristo; Svein Jarle Horn; Jerome Mounier; Volha Shapaval
Journal:  Microb Cell Fact       Date:  2017-06-09       Impact factor: 5.328

5.  FTIR spectroscopy as a unified method for simultaneous analysis of intra- and extracellular metabolites in high-throughput screening of microbial bioprocesses.

Authors:  Gergely Kosa; Volha Shapaval; Achim Kohler; Boris Zimmermann
Journal:  Microb Cell Fact       Date:  2017-11-13       Impact factor: 5.328

Review 6.  ATR-FTIR spectroscopy and spectroscopic imaging for the analysis of biopharmaceuticals.

Authors:  Hannah Tiernan; Bernadette Byrne; Sergei G Kazarian
Journal:  Spectrochim Acta A Mol Biomol Spectrosc       Date:  2020-06-22       Impact factor: 4.098

7.  Microcultivation and FTIR spectroscopy-based screening revealed a nutrient-induced co-production of high-value metabolites in oleaginous Mucoromycota fungi.

Authors:  Simona Dzurendova; Boris Zimmermann; Achim Kohler; Valeria Tafintseva; Ondrej Slany; Milan Certik; Volha Shapaval
Journal:  PLoS One       Date:  2020-06-22       Impact factor: 3.240

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

Authors:  Jie Wang; Michael Chae; David C Bressler; Dominic Sauvageau
Journal:  Biotechnol Biofuels       Date:  2020-01-24       Impact factor: 6.040

9.  Effects of acids pre-treatment on the microbial fermentation process for bioethanol production from microalgae.

Authors:  Chai Kee Phwan; Kit Wayne Chew; Abdi Hanra Sebayang; Hwai Chyuan Ong; Tau Chuan Ling; Marlinda Abdul Malek; Yeek-Chia Ho; Pau Loke Show
Journal:  Biotechnol Biofuels       Date:  2019-07-31       Impact factor: 6.040

  9 in total

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