Literature DB >> 19847661

Use of microbial activity measurements for monitoring RBC biofilms.

M Dolores Coello1, M R Rodríguez-Barroso, C A Aragón, J M Quiroga.   

Abstract

Fixed biomass technologies, such as rotating biological contactors or biodiscs, have been applied for wastewater depuration both in large and medium-small-sized agglomerations. Biofilm's composition and microorganism activity are essential parameters for the successful operation and control of these systems. Biofilm's thickness and total dry weight have been widely used for biofilm's characterization but, actually, are not sufficient to describe biofilm activity. In fact, biofilm's activity is not proportional to the quantity of fixed biomass, but increases with the thickness of biofilm up to a determined level called the "active thickness". Above this level, the diffusion of nutrients through the film becomes a limiting factor. A stable, thin, and active biofilm thus offers numerous advantages in water and wastewater treatment. Different parameters have been used to evaluate biofilm's activity. The specific oxygen uptake rate, INT-dehydrogenase activity, and the ratio active/total cells have been applied for that purpose. These methods are not only simple and rapid but also sensitive, precise, and representative. The results obtained confirm the potential of the microbial activity measurements studied for an accurate biofilm's characterization and biomass activity estimation in fundamental research and for the practical operation and control of fixed biomass depuration systems.

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Year:  2009        PMID: 19847661     DOI: 10.1007/s10661-009-1188-y

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  1 in total

1.  INT-dehydrogenase test for activated sludge process control.

Authors:  J M Lopez; B Koopman; G Bitton
Journal:  Biotechnol Bioeng       Date:  1986-07       Impact factor: 4.530

  1 in total
  1 in total

1.  Predicting biofilm thickness and biofilm viability based on the concentration of carbon-nitrogen-phosphorus by support vector regression.

Authors:  Shanshan Lin; Xinmin Wang; Yunlong Chao; Yude He; Ming Liu
Journal:  Environ Sci Pollut Res Int       Date:  2015-08-27       Impact factor: 4.223

  1 in total

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