Cole–Cole, linear and multivariate modeling of capacitance data for on-line monitoring of biomass

  • Michal Dabros
  • Danielle Dennewald
  • David J. Currie
  • Mark H. Lee
  • Robert W. Todd
  • Ian W. Marison
  • Urs von Stockar
Original Paper

DOI: 10.1007/s00449-008-0234-4

Cite this article as:
Dabros, M., Dennewald, D., Currie, D.J. et al. Bioprocess Biosyst Eng (2009) 32: 161. doi:10.1007/s00449-008-0234-4

Abstract

This work evaluates three techniques of calibrating capacitance (dielectric) spectrometers used for on-line monitoring of biomass: modeling of cell properties using the theoretical Cole–Cole equation, linear regression of dual-frequency capacitance measurements on biomass concentration, and multivariate (PLS) modeling of scanning dielectric spectra. The performance and robustness of each technique is assessed during a sequence of validation batches in two experimental settings of differing signal noise. In more noisy conditions, the Cole–Cole model had significantly higher biomass concentration prediction errors than the linear and multivariate models. The PLS model was the most robust in handling signal noise. In less noisy conditions, the three models performed similarly. Estimates of the mean cell size were done additionally using the Cole–Cole and PLS models, the latter technique giving more satisfactory results.

Keywords

On-line biomass monitoring In-situ spectroscopy Scanning capacitance (dielectric) spectroscopy Cole–Cole equation PLS Calibration model robustness 

Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  • Michal Dabros
    • 1
  • Danielle Dennewald
    • 1
  • David J. Currie
    • 2
  • Mark H. Lee
    • 2
  • Robert W. Todd
    • 4
  • Ian W. Marison
    • 3
  • Urs von Stockar
    • 1
  1. 1.Laboratory of Chemical and Biological Engineering (LGCB)Ecole Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland
  2. 2.Department of Computer ScienceUniversity of WalesAberystwythUK
  3. 3.School of BiotechnologyDublin City UniversityGlasnevinDublin 9Ireland
  4. 4.Aber Instruments LtdScience ParkAberystwythUK