Monitoring a bioprocess for ethanol production using FT-MIR and FT-Raman spectroscopy

S. Sivakesava, J. Irudayaraj, A. Demirci

Research output: Contribution to journalArticle

69 Citations (Scopus)

Abstract

The application of Fourier transform mid-infrared (FT-MIR) spectroscopy and Fourier transform Raman (FT-Raman) spectroscopy for process and quality control of fermentative production of ethanol was investigated. FT-MIR and FT-Raman spectroscopy along with multivariate techniques were used to determine simultaneously glucose, ethanol, and optical cell density of Saccharomyces cerevisiae during ethanol fermentation. Spectroscopic measurement of glucose and ethanol were compared and validated with the high-performance liquid chromatography (HPLC) method. Spectral wave number regions were selected for partial least-squares (PLS) regression and principal component regression (PCR) and calibration models for glucose, ethanol, and optical cell density were developed for culture samples. Correlation coefficient (R2) value for the prediction for glucose and ethanol was more than 0.9 using various calibration methods. The standard error of prediction for the PLS first-derivative calibration models for glucose, ethanol, and optical cell density were 1.938 g/l, 1.150 g/l, and 0.507, respectively. Prediction errors were high with FT-Raman because the Raman scattering of the cultures was weak. Results indicated that FT-MIR spectroscopy could be used for rapid detection of glucose, ethanol, and optical cell density in S. cerevisiae culture during ethanol fermentation.

Original languageEnglish (US)
Pages (from-to)185-190
Number of pages6
JournalJournal of Industrial Microbiology and Biotechnology
Volume26
Issue number4
DOIs
StatePublished - Jul 31 2001

Fingerprint

Raman Spectrum Analysis
Fourier Analysis
Raman spectroscopy
Fourier transforms
Ethanol
Infrared radiation
Glucose
Monitoring
Cell Count
Calibration
Fourier Transform Infrared Spectroscopy
Least-Squares Analysis
Yeast
Fermentation
Fourier transform infrared spectroscopy
Saccharomyces cerevisiae
High performance liquid chromatography
Quality Control
Process control
Quality control

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Bioengineering
  • Applied Microbiology and Biotechnology

Cite this

@article{eee2efe28dca4adda419c144be95586f,
title = "Monitoring a bioprocess for ethanol production using FT-MIR and FT-Raman spectroscopy",
abstract = "The application of Fourier transform mid-infrared (FT-MIR) spectroscopy and Fourier transform Raman (FT-Raman) spectroscopy for process and quality control of fermentative production of ethanol was investigated. FT-MIR and FT-Raman spectroscopy along with multivariate techniques were used to determine simultaneously glucose, ethanol, and optical cell density of Saccharomyces cerevisiae during ethanol fermentation. Spectroscopic measurement of glucose and ethanol were compared and validated with the high-performance liquid chromatography (HPLC) method. Spectral wave number regions were selected for partial least-squares (PLS) regression and principal component regression (PCR) and calibration models for glucose, ethanol, and optical cell density were developed for culture samples. Correlation coefficient (R2) value for the prediction for glucose and ethanol was more than 0.9 using various calibration methods. The standard error of prediction for the PLS first-derivative calibration models for glucose, ethanol, and optical cell density were 1.938 g/l, 1.150 g/l, and 0.507, respectively. Prediction errors were high with FT-Raman because the Raman scattering of the cultures was weak. Results indicated that FT-MIR spectroscopy could be used for rapid detection of glucose, ethanol, and optical cell density in S. cerevisiae culture during ethanol fermentation.",
author = "S. Sivakesava and J. Irudayaraj and A. Demirci",
year = "2001",
month = "7",
day = "31",
doi = "10.1038/sj.jim.7000124",
language = "English (US)",
volume = "26",
pages = "185--190",
journal = "Journal of Industrial Microbiology and Biotechnology",
issn = "1367-5435",
publisher = "Springer Verlag",
number = "4",

}

Monitoring a bioprocess for ethanol production using FT-MIR and FT-Raman spectroscopy. / Sivakesava, S.; Irudayaraj, J.; Demirci, A.

In: Journal of Industrial Microbiology and Biotechnology, Vol. 26, No. 4, 31.07.2001, p. 185-190.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Monitoring a bioprocess for ethanol production using FT-MIR and FT-Raman spectroscopy

AU - Sivakesava, S.

AU - Irudayaraj, J.

AU - Demirci, A.

PY - 2001/7/31

Y1 - 2001/7/31

N2 - The application of Fourier transform mid-infrared (FT-MIR) spectroscopy and Fourier transform Raman (FT-Raman) spectroscopy for process and quality control of fermentative production of ethanol was investigated. FT-MIR and FT-Raman spectroscopy along with multivariate techniques were used to determine simultaneously glucose, ethanol, and optical cell density of Saccharomyces cerevisiae during ethanol fermentation. Spectroscopic measurement of glucose and ethanol were compared and validated with the high-performance liquid chromatography (HPLC) method. Spectral wave number regions were selected for partial least-squares (PLS) regression and principal component regression (PCR) and calibration models for glucose, ethanol, and optical cell density were developed for culture samples. Correlation coefficient (R2) value for the prediction for glucose and ethanol was more than 0.9 using various calibration methods. The standard error of prediction for the PLS first-derivative calibration models for glucose, ethanol, and optical cell density were 1.938 g/l, 1.150 g/l, and 0.507, respectively. Prediction errors were high with FT-Raman because the Raman scattering of the cultures was weak. Results indicated that FT-MIR spectroscopy could be used for rapid detection of glucose, ethanol, and optical cell density in S. cerevisiae culture during ethanol fermentation.

AB - The application of Fourier transform mid-infrared (FT-MIR) spectroscopy and Fourier transform Raman (FT-Raman) spectroscopy for process and quality control of fermentative production of ethanol was investigated. FT-MIR and FT-Raman spectroscopy along with multivariate techniques were used to determine simultaneously glucose, ethanol, and optical cell density of Saccharomyces cerevisiae during ethanol fermentation. Spectroscopic measurement of glucose and ethanol were compared and validated with the high-performance liquid chromatography (HPLC) method. Spectral wave number regions were selected for partial least-squares (PLS) regression and principal component regression (PCR) and calibration models for glucose, ethanol, and optical cell density were developed for culture samples. Correlation coefficient (R2) value for the prediction for glucose and ethanol was more than 0.9 using various calibration methods. The standard error of prediction for the PLS first-derivative calibration models for glucose, ethanol, and optical cell density were 1.938 g/l, 1.150 g/l, and 0.507, respectively. Prediction errors were high with FT-Raman because the Raman scattering of the cultures was weak. Results indicated that FT-MIR spectroscopy could be used for rapid detection of glucose, ethanol, and optical cell density in S. cerevisiae culture during ethanol fermentation.

UR - http://www.scopus.com/inward/record.url?scp=0034914239&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0034914239&partnerID=8YFLogxK

U2 - 10.1038/sj.jim.7000124

DO - 10.1038/sj.jim.7000124

M3 - Article

C2 - 11464265

AN - SCOPUS:0034914239

VL - 26

SP - 185

EP - 190

JO - Journal of Industrial Microbiology and Biotechnology

JF - Journal of Industrial Microbiology and Biotechnology

SN - 1367-5435

IS - 4

ER -