Two-dimensional fluorometry coupled with artificial neural networks: A novel method for on-line monitoring of complex biological processes

Gundula Wolf, Jonas S. Almeida, Carmen Pinheiro, Vasco Correia, Carla M. Rodrigues, Maria A.M. Reis, João G. Crespo

Research output: Contribution to journalArticle

52 Citations (Scopus)

Abstract

The use of two-dimensional scanning fluorometry as an on-line, noninvasive, in situ bioreactor monitoring technique is extended to complex bioprocesses using mixed cultures, with particular attention to biofilm systems. Using the example of spectra subtraction, it is demonstrated that established methods for fluorescence data analysis have a limited capability of utilizing overall fluorometric information. Artificial neural networks (ANNs) are introduced as a novel nonlinear and non-mechanistic technique for interpreting the highly complex fluorescence maps. It is shown that ANNs are able to infer process performance parameters in a pattern recognition approach, based on the entire fluorescence "fingerprint" of the biological system. The studies were carried out using an extractive membrane bioreactor (EMB) for the degradation of chlorinated organic compounds, operating with mixed cultures. Model pollutants employed were 1,2-dichloroethane, 3-chloro-4-methylaniline, and p-toluidine.

Original languageEnglish
Pages (from-to)297-306
Number of pages10
JournalBiotechnology and Bioengineering
Volume72
Issue number3
DOIs
Publication statusPublished - 5 Feb 2001

Keywords

  • Artificial neural networks (ANNs)
  • Biofilm monitoring
  • Membrane bioreactors
  • Two-dimensional (2D) fluorometry
  • Volatile organic pollutants

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