Characterisation of the structural state of flocculent microorganisms in relation to the purificatory performances of sequencing batch reactors

Casellas, Magali; Dagot, Christophe; Pons, Marie‐Noëlle; Guibaud, Gilles; Tixier, Nicolas; Baudu, Michel

doi:10.1016/j.bej.2004.04.007

Cited by 10 publications

(6 citation statements)

References 18 publications

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“…Rheology is an www.elsevier.com/locate/procbio Process Biochemistry 40 (2005) 2671-2676 interesting tool for the characterisation of suspension of microorganisms in pure culture [10,11], or in sludge originated from activated sludge process [12,13], in sequencing batch reactors [14] or membrane reactors [15,16]. Sludge rheological properties are dependent on their origin and nature.…”

Section: Introductionmentioning

confidence: 99%

Hysteresis area, a rheological parameter used as a tool to assess the ability of filamentous sludges to settle

Guibaud¹,

Tixier²,

Baudu³

2005

Process Biochemistry

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Section: Introductionmentioning

confidence: 99%

Hysteresis area, a rheological parameter used as a tool to assess the ability of filamentous sludges to settle

Guibaud¹,

Tixier²,

Baudu³

2005

Process Biochemistry

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“…The relationship between SVI and total filament length (representing filamentous bacteria contents) was clearly et al (2001b, 2003a), Jenné et al (2003), and Casellas et al (2004) in full and laboratory scale and sequencing batch reactors (SBR), respectively. Figure 4a shows an example of a slugde without bulking problems, while Fig.…”

Section: Problems Of Sludge Settling Abilitymentioning

confidence: 99%

Quantitative image analysis for the characterization of microbial aggregates in biological wastewater treatment: a review

Costa

Mesquita

Amaral

et al. 2013

Environ Sci Pollut Res

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Quantitative image analysis techniques have gained an undeniable role in several fields of research during the last decade. In the field of biological wastewater treatment (WWT) processes, several computer applications have been developed for monitoring microbial entities, either as individual cells or in different types of aggregates. New descriptors have been defined that are more reliable, objective, and useful than the subjective and time-consuming parameters classically used to monitor biological WWT processes. Examples of this application include the objective prediction of filamentous bulking, known to be one of the most problematic phenomena occurring in activated sludge technology. It also demonstrated its usefulness in classifying protozoa and metazoa populations. In high-rate anaerobic processes, based on granular sludge, aggregation times and fragmentation phenomena could be detected during critical events, e.g., toxic and organic overloads. Currently, the major efforts and needs are in the development of quantitative image analysis techniques focusing on its application coupled with stained samples, either by classical or fluorescent-based techniques. The use of quantitative morphological parameters in process control and online applications is also being investigated. This work reviews the major advances of quantitative image analysis applied to biological WWT processes.

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“…Image analysis of activated sludge was used by Watanabe et al (1990) in order to determine the filamentous state of the sludge and by other authors (Grijspeerdt & Verstraete 1997;Cenens et al 2002;da Motta et al 2002;Amaral & Ferreira 2005;Smets et al 2006), to estimate the settleability of activated sludge through several performing models. Casellas et al (2004) using the image analysis were able to found a correlation between the structural state of the floc, the quality of the reactor output water and the physical properties of settling doi: 10.2166/wst.2009.119 and flow. According to these authors, the coupling of image analysis with on-line measurements of absorbance and turbidity could make it possible to monitor the quality of the discharged water.…”

Section: Introductionmentioning

confidence: 99%

Application of image analysis in activated sludge to evaluate correlations between settleability and features of flocs and filamentous species

Arelli

Luccarini

Madoni

2009

Water Science and Technology

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Digital image analysis is a useful tool to estimate some morphological parameters of flocs and filamentous species in activated sludge wastewater treatment processes. In this work we found the correlation between some morphological parameters and sludge volume index (SVI). The sludge was taken from a pilot-scale activated sludge plant, owned by ENEA, located side stream to the Trebbo di Reno (Bologna, Italy) municipal WWTP and fed by domestic wastewater. In order to use image analysis, we developed a correct method to acquire digital microbiological observations and to obtain images altogether representative of the sludge properties. We identified and assessed the parameters needed to estimate the settleability of the sludge and evaluated the morphological filamentous features. It is known that several conditions (i.e. low F/M, nutrient deficiency, low dissolved oxygen) select specific filamentous species and their excessive growth decrease floc-forming/filaments ratio, correspond to the worse settleability properties; we found a relationship between the relative abundance of filamentous species and SVI. We also evaluated the fractal dimension parameter (FD) and determined a threshold value useful to distinguish between the "weak" and "firm" floc and we found a correlation between FD and SVI.

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Characterisation of the structural state of flocculent microorganisms in relation to the purificatory performances of sequencing batch reactors

Cited by 10 publications

References 18 publications

Hysteresis area, a rheological parameter used as a tool to assess the ability of filamentous sludges to settle

Hysteresis area, a rheological parameter used as a tool to assess the ability of filamentous sludges to settle

Quantitative image analysis for the characterization of microbial aggregates in biological wastewater treatment: a review

Application of image analysis in activated sludge to evaluate correlations between settleability and features of flocs and filamentous species

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