Bulk water phase and biofilm growth in drinking water at low nutrient conditions

Boe-Hansen, Rasmus; Albrechtsen, Hans‐Jørgen; Arvin, Erik; Jørgensen, Claus

doi:10.1016/s0043-1354(02)00191-4

Cited by 122 publications

(71 citation statements)

References 15 publications

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“…As in the case of suspended cells, the biofilm total cells per square centimeter were always higher than the metabolically active cells and these were higher than the cultivable cells grown on PVC at each sampling time. Similar results were found by Schaule et al (1993), Kalmbach et al (1997), Schwartz et al (1998), Boe-Hansen et al (2002b) and Wingender and Flemming (2004). Around 17-35% of the total cells were metabolically active and 8-15% were cultivable in R 2 A medium.…”

Section: Cells In Biofilmssupporting

confidence: 88%

“…Authors studying wastewaters and industrial waters are divided between those who defend that the activity of sessile and planktonic bacteria is similar (Bakke et al, 1984;Characklis and Marshall, 1990) and those who reached opposite conclusions (Plas et al, 1994;Le Magrex et al, 1994). Quantitative data on bacterial growth kinetics in drinking water systems is scarce (Pedersen, 1990;Block et al, 1993;Boe-Hansen et al, 2002b), although such data would seem important for the proper design of distribution networks and reservoirs. The values of biofilm specific growth rates reported by these authors range between 0.03 day À1 and 0.06 day À1 .…”

Section: Article In Pressmentioning

confidence: 99%

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Dynamics of drinking water biofilm in flow/non-flow conditions

2007

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A B S T R A C TDrinking water biofilm formation on polyvinyl chloride (PVC), cross-linked polyethylene (PEX), high density polyethylene (HDPE) and polypropylene (PP) was followed in three different reactors operating under stagnant or continuous flow regimes. After one week, a quasi-steady state was achieved where biofilm total cell numbers per unit surface area were not affected by fluctuations in the concentration of suspended cells. Metabolically active cells in biofilms were around 17-35% of the total cells and 6-18% were able to form colony units in R 2 A medium. Microbiological analysis showed that the adhesion material and reactor design did not affect significantly the biofilm growth. However, operating under continuous flow (0.8-1.9 Pa) or stagnant water had a significant effect on biofilm formation: in stagnant waters, biofilm grew to a less extent. By applying mass balances and an asymptotic biofilm formation model to data from biofilms grown on PVC and HDPE surfaces under turbulent flow, specific growth rates of bacteria in the biofilm were found to be similar for both materials (around 0.15 day À1) and much lower than the specific growth rates of suspended bacteria (around 1.8 day À1 ).

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Section: Cells In Biofilmssupporting

confidence: 88%

Section: Article In Pressmentioning

confidence: 99%

Dynamics of drinking water biofilm in flow/non-flow conditions

2007

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“…ATP as an indicator of microbial activity has been investigated lately in activated sludge system (Androeottola et al, 2002;Chen et al, 2000;Dalzell and Crisotofi, 2002;Pelkonen and Tenno, 1993;Zhang and Yamamoto, 1996), drinking water (Boe-Hansen et al, 2002;Lautenschlager et al, 2013;Liu et al, 2013), aquatic environments (Hammes et al, 2010;Takamatsu et al, 1996) and compost (Horiuchi et al, 2003). On the other hand, the NAD(P)H were also measured to monitor the degradation performance of the biological wastewater treatment processes (Brdjanovic et al, 1999;Farabegoli et al, 2003;Kuba et al, 1994;Vassos, 1993;Wos and Pollard, 2006 If necessary, COD concentration of this synthetic wastewater was varied by changing glucose concentration.…”

Section: Introduction 1)mentioning

confidence: 99%

Intracellular Concentrations of NAD(P), NAD(P)H, and ATP in a Simulated Oxic-settling-anaerobic (OSA) Process

Ventura¹,

Nam²,

Yang³

et al. 2015

Journal of Korean Society on Water Environment

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In order to investigate why OSA (oxic-settling-anaerobic) process produces less sludge than CAS (conventional activated sludge) process, sequential cultivation through 1 st aerobic-anaerobic-2 nd aerobic conditions, were carried out. Then, the intracellular concentrations of adenosine triphosphate (ATP), nicotinamide adenine dinucleotide (NAD and NADH), and nicotinamide adenine dinucleotide phosphate (NADP and NADPH) were monitored for these three stages. Results showed that the concentrations of these energy substances rapidly decreased through time in both aerobic and anaerobic conditions but the anaerobic culture contained the lower energy level than aerobic culture. The 2 nd aerobic culture that experienced anaerobic condition showed lower concentration of these energy substances than those of the 1 st aerobic culture. Meanwhile, the anaerobic culture corresponding to the sludge holding stage of OSA was subjected to different soluble chemical oxygen demand (SCOD) levels, detention time, and temperature to evaluate the effects of these variations on the energy level difference between the 1 st and 2 nd aerobic stages. The lower the SCOD concentration, the longer detention time; and the higher temperature in the anaerobic stage tended to further reduce the intracellular level of the 2 nd aerobic culture. On the average, the intracellular energy level of the anaerobic and 2 nd aerobic stage were 57.73% and 39.12% of the 1 st aerobic culture, respectively. These indicated that the insertion of an anaerobic stage between two aerobic stages could lower the intracellular energy levels, hence the lower the sludge in OSA than CAS process. Moreover, manipulation of the operating conditions of the intervening anaerobic stage can change intracellular energy levels thereby controlling sludge production.

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“…All these steps have been incorporated in our model. True biofilm steady state is never achieved, since selection is continually occurring, and slight changes in environment conditions may favour the growth of different organisms [124]. Shear forces or residual disinfectant are some of these factors that cause this biofilm instability.…”

Section: C14 Summary Of the Results And Conclusionmentioning

confidence: 99%

“…Bacteria are concentrated using membrane filtration, then bacteria are stained with a fluorescent dye and the total cell count are determined by microscopic counting [124]. For optimal accuracy, it is recommended to count about 400 cells on multiple filters.…”

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confidence: 99%

Assessing biofilm development in drinking water distribution systems by Machine Learning methods

Martínez¹

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Bulk water phase and biofilm growth in drinking water at low nutrient conditions

Cited by 122 publications

References 15 publications

Dynamics of drinking water biofilm in flow/non-flow conditions

Dynamics of drinking water biofilm in flow/non-flow conditions

Intracellular Concentrations of NAD(P), NAD(P)H, and ATP in a Simulated Oxic-settling-anaerobic (OSA) Process

Assessing biofilm development in drinking water distribution systems by Machine Learning methods

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