Characterization of activated sludge flocs by confocal laser scanning microscopy and image analysis

Markus Schmid, Antoine Thill, Ulrike Purkhold, Marion Walcher, Jean Yves Bottero, Philippe Ginestet, Per Halkjær Nielsen*, Stefan Wuertz, Michael Wagner

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

103 Citations (Scopus)

Abstract

In this study we present a new approach to determine volumes, heterogeneity factors, and compositions of the bacterial population of activated sludge flocs by 3D confocal imaging. After staining the fresh flocs with fluorescein-isothiocyanate, 75 stacks of images (containing approx. 3000 flocs) were acquired with a confocal laser scanning microscope. The self-developed macro 3D volume and surface determination for the KS 400 software package combined the images of one stack to a 3D image and calculated the real floc volume and surface. We determined heterogeneity factors like the ratio of real floc surface to the surface of a sphere with the respective volume and the fractal dimension (Df). According to their significant influence on floc integrity and quality, we also investigated the chemical composition of flocs and quantified their bacterial population structure by using group-specific rRNA-targeted probes for fluorescence in situ hybridization. By a settling experiment we enriched flocs with poor settling properties and determined the above-mentioned parameters. This approach revealed shifts in floc volume, heterogeneity, and bacterial and chemical composition according to the settling quality of the flocs.

Original languageEnglish
Pages (from-to)2043-2052
Number of pages10
JournalWater Research
Volume37
Issue number9
DOIs
Publication statusPublished - May 2003
Externally publishedYes

ASJC Scopus Subject Areas

  • Environmental Engineering
  • Civil and Structural Engineering
  • Ecological Modelling
  • Water Science and Technology
  • Waste Management and Disposal
  • Pollution

Keywords

  • Confocal laser scanning microscopy (CLSM)
  • Floc characterization
  • Fluorescence in situ hybridization (FISH)
  • Sludge settling

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