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Monitoring of Streptomyces peucetius cultivations using FTIR/ATR spectroscopy and quantitative models based on library type data

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Abstract

Cultivations of Streptomyces peucetius in two types of medium were monitored on-line using a Fourier transform infrared (FTIR) spectrometer combined with an attenuated total reflection probe. The quantitative measurements of the glucose, starch and acetate concentrations were implemented using partial least squares calibration models. These were regressed on spectral and concentration information obtained by adding together single constituent spectra of the main constituents in the medium according to a full factorial design. The accuracy achieved was considered to be satisfactory, with an average root mean square error of prediction of 1.5 g/l for glucose and 0.25 g/l for acetate. The methodology used is considered to be a rapid technique for generation of calibration data, and a step towards the use of library type data for calibration purposes in quantitative FTIR spectroscopy applications in bioprocesses.

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Acknowledgments

This study was made possible by funding from Tekes—the Finnish Funding Agency for Technology and Innovation.

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Author notes

  1. John Dahlbacka

    Present address: Novia University of Applied Sciences, Vaasa, Finland

  2. Kristiina Kiviharju

    Present address: Valio Ltd, Helsinki, Finland

Authors and Affiliations

  1. Process Design and Systems Engineering, Department of Chemical Engineering, Åbo Akademi University, Biskopsgatan 8, 20500, Turku, Finland

    John Dahlbacka & Kaj Fagervik

  2. Department of Biotechnology and Chemical Technology, School of Science and Technology, Aalto University, Espoo, Finland

    Kristiina Kiviharju & Tero Eerikäinen

Authors
  1. John Dahlbacka
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  2. Kristiina Kiviharju
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  3. Tero Eerikäinen
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  4. Kaj Fagervik
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Correspondence to John Dahlbacka.

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Dahlbacka, J., Kiviharju, K., Eerikäinen, T. et al. Monitoring of Streptomyces peucetius cultivations using FTIR/ATR spectroscopy and quantitative models based on library type data. Biotechnol Lett 35, 337–343 (2013). https://doi.org/10.1007/s10529-012-1093-2

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  • DOI: https://doi.org/10.1007/s10529-012-1093-2

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