On-line measurement of the substrate concentrations in Pichia pastoris fermentations using FT-IR/ATR

John Dahlbacka (Corresponding Author), Jan Weegar, Niklas von Weymarn, Kaj Fagervik

Research output: Contribution to journalArticleScientificpeer-review

11 Citations (Scopus)

Abstract

The glycerol and methanol concentrations in Pichia pastoris fermentations were measured on-line using Fourier transform infrared spectroscopy and an attenuated total reflection probe. Partial least squares regression was used to obtain calibration models. The models were regressed on synthetic multi-component spectra and semi-synthetic fermentation broth spectra. These were obtained by spectral addition. The accuracy for the on-line measurement of glycerol, given as standard error of prediction (SEP), was determined to 0.68 g/l, and the SEP of methanol was 0.13 g/l. We show how reliable calibration models are obtained relatively effortlessly by replacing extensive sampling from the reactor with simple mathematical manipulations of the model regression spectra.
Original languageEnglish
Pages (from-to)1009-1017
JournalBiotechnology Letters
Volume34
Issue number6
DOIs
Publication statusPublished - 2012
MoE publication typeA1 Journal article-refereed

Fingerprint

Pichia
Glycerol
Fermentation
Calibration
Methanol
Fourier Transform Infrared Spectroscopy
Substrates
Least-Squares Analysis
Theoretical Models
Fourier transform infrared spectroscopy
Sampling

Keywords

  • Attenuated total reflection
  • Bioprocess monitoring
  • In situ measurement
  • Mid-infrared spectroscopy
  • Partial least squares regression
  • Pichia pastoris

Cite this

Dahlbacka, John ; Weegar, Jan ; von Weymarn, Niklas ; Fagervik, Kaj. / On-line measurement of the substrate concentrations in Pichia pastoris fermentations using FT-IR/ATR. In: Biotechnology Letters. 2012 ; Vol. 34, No. 6. pp. 1009-1017.
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abstract = "The glycerol and methanol concentrations in Pichia pastoris fermentations were measured on-line using Fourier transform infrared spectroscopy and an attenuated total reflection probe. Partial least squares regression was used to obtain calibration models. The models were regressed on synthetic multi-component spectra and semi-synthetic fermentation broth spectra. These were obtained by spectral addition. The accuracy for the on-line measurement of glycerol, given as standard error of prediction (SEP), was determined to 0.68 g/l, and the SEP of methanol was 0.13 g/l. We show how reliable calibration models are obtained relatively effortlessly by replacing extensive sampling from the reactor with simple mathematical manipulations of the model regression spectra.",
keywords = "Attenuated total reflection, Bioprocess monitoring, In situ measurement, Mid-infrared spectroscopy, Partial least squares regression, Pichia pastoris",
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On-line measurement of the substrate concentrations in Pichia pastoris fermentations using FT-IR/ATR. / Dahlbacka, John (Corresponding Author); Weegar, Jan; von Weymarn, Niklas; Fagervik, Kaj.

In: Biotechnology Letters, Vol. 34, No. 6, 2012, p. 1009-1017.

Research output: Contribution to journalArticleScientificpeer-review

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AU - Weegar, Jan

AU - von Weymarn, Niklas

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PY - 2012

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AB - The glycerol and methanol concentrations in Pichia pastoris fermentations were measured on-line using Fourier transform infrared spectroscopy and an attenuated total reflection probe. Partial least squares regression was used to obtain calibration models. The models were regressed on synthetic multi-component spectra and semi-synthetic fermentation broth spectra. These were obtained by spectral addition. The accuracy for the on-line measurement of glycerol, given as standard error of prediction (SEP), was determined to 0.68 g/l, and the SEP of methanol was 0.13 g/l. We show how reliable calibration models are obtained relatively effortlessly by replacing extensive sampling from the reactor with simple mathematical manipulations of the model regression spectra.

KW - Attenuated total reflection

KW - Bioprocess monitoring

KW - In situ measurement

KW - Mid-infrared spectroscopy

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