Characterisation by image analysis of anaerobic sludge under shock conditions

Alves, M. M.; Cavaleiro, A. J.; Ferreira, E. C.; Amaral, A. L.; Мота, М.; Motta, M.; Vivier, H.; Pons, Marie‐Noëlle

doi:10.2166/wst.2000.0273

Cited by 66 publications

(32 citation statements)

References 10 publications

(7 reference statements)

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“…The same technique can be used to perform the methanogenic toxicity tests. The fifty percent inhibition concentration (IC50) was defined as the methanogenic concentration that caused a 50% relative activity loss [35,37]. The technique is as follows:…”

Section: Methanogenic Activity Determinationmentioning

confidence: 99%

See 1 more Smart Citation

Microbial Biomass in Batch and Continuous System

Amaya¹,

Barragán²,

Almendáriz-Tapia³

2013

Biomass Now - Sustainable Growth and Use

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Section: Methanogenic Activity Determinationmentioning

confidence: 99%

“…The microscopic characterization to observe shape, color and size was performed by Gram stain for bacteria, with lactophenol blue stain for fungi and solution saline for yeast [37,39].…”

Section: Macroscopic and Microscopic Characterizationmentioning

confidence: 99%

Microbial Biomass in Batch and Continuous System

Amaya¹,

Barragán²,

Almendáriz-Tapia³

2013

Biomass Now - Sustainable Growth and Use

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“…More than 900 UASB units are currently operating all over the world (Alves et al, 2000;Liu et al, 2002). The UASB reactor is considered desirable in high-strength organic wastewater treatment because of its high biomass concentration and rich microbial diversity (Fang et al, 1994;Ghangrekar et al, 2005;Hulshoff Pol, 1989;Lettinga et al, 1993;Schmidt and Ahring, 1996).…”

Section: Introductionmentioning

confidence: 99%

Effect of ferrous ion on the biological activity in a UASB reactor: Mathematical modeling and verification

Vlyssides

Barampouti²,

Mai³

2006

Biotech & Bioengineering

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The effect of ferrous ion on the biological activity in a upflow anaerobic sludge blanket (UASB) reactor was studied. A mathematical model was developed and validated in order to simulate the dynamic behavior of a UASB reactor. This model took into consideration of all the biological and physicochemical reactions. The model was able to simulate the accumulation of iron in the sludge bed and its effect on the biological activity of the anaerobic sludge. A significant increase in the maximum uptake rate of methanogens and acidogens was revealed when iron was supplemented to the UASB reactor. The addition of ferrous iron induced a stable and excellent COD conversion rate. The model can be a useful tool for the prediction of process performance in the future and can be used to assist in the operation of biogas plants. The ferrous ion addition proved to enhance the biological activity of UASB sludge. Thus, the model can be used for the design of treatment plants that will take advantage of the benefits of iron addition.

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“…These techniques have already been applied in the quantitative morphological characterization of anaerobic sludge (Alves et al, 2000a;Alves et al, 2000b). The main difficulty is to define and accurately measure the most suitable parameters that are sensitive to the granulation, granules maturation, or granules deterioration processes.…”

Section: Introductionmentioning

confidence: 99%

Development of image analysis techniques as a tool to detect and quantify morphological changes in anaerobic sludge: I. Application to a granulation process

Araya-Kroff

Amaral

Neves

et al. 2004

Biotech & Bioengineering

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Image analysis techniques were developed and applied to quantify the process of anaerobic granulation in an expanded granular sludge blanket reactor (EGSB) fed with a synthetic substrate based on glucose [60-30% COD (chemical oxygen demand)] and volatile fatty acids (40-70% COD) over 376 days. In a first operation period that lasted 177 days, the aggregation of dispersed sludge was quantitatively monitored through the recognition and quantification of aggregates and filaments. A parameter defined as the ratio between the filaments' length and the aggregates projected area (LfA) has proven to be sensitive to detect changes in the aggregation status of the anaerobic sludge. The aggregation time-defined as the moment when a balance between filaments' length and aggregates' size was established-was recognized through the LfA. The percentage of projected area of aggregates within three size ranges (0.01-0.1 mm, 0.1-1 mm, and >1 mm, equivalent diameter) reflected the granular size spectrum during the aggregation process. When sudden increases on the upflow velocity and on the organic loading rate were applied to the previously formed granules, the developed image analysis techniques revealed to be good indicators of granular sludge stability, since they were sensitive to detected filaments release, fragmentation, and erosion that usually leads to washout. The specific methanogenic activities in the presence of acetate, propionate, butyrate, and H(2)/CO(2) increased along the operation, particularly relevant was the sudden increase in the specific hydrogenophilic activity, immediately after the moment recognized as aggregation time.

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Characterisation by image analysis of anaerobic sludge under shock conditions

Cited by 66 publications

References 10 publications

Microbial Biomass in Batch and Continuous System

Microbial Biomass in Batch and Continuous System

Effect of ferrous ion on the biological activity in a UASB reactor: Mathematical modeling and verification

Development of image analysis techniques as a tool to detect and quantify morphological changes in anaerobic sludge: I. Application to a granulation process

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