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Quantitative Structure Biodegradation Relationships (QSBRs) are a tool to predict the biodegradability of chemicals. The objective of this work was to generate reliable biodegradation data for mono-aromatic chemicals in order to evaluate and verify previously developed QSBRs models. A robust biodegradation test method was developed to estimate specific substrate utilization rates, which were used as a proxy for biodegradation rates of chemicals in pure culture. Five representative mono-aromatic chemicals were selected that spanned a wide range of biodegradability. Aerobic biodegradation experiments were performed for each chemical in batch reactors seeded with known degraders. Chemical removal, degrader growth and CO2 production were monitored over time. Experimental data were interpreted using a full carbon mass balance model, and Monod kinetic parameters (Y, Ks, qmax and μmax) for each chemical were determined. In addition, stoichiometric equations for aerobic mineralization of the test chemicals were developed. The theoretically estimated biomass and CO2 yields were similar to those experimentally observed; 35% (s.d ± 8%) of the recovered substrate carbon was converted to biomass, and 65% (s.d ± 8%) was mineralised to CO2. Significant correlations were observed between the experimentally determined specific substrate utilization rates, as represented by qmax and qmax/Ks, at high and low substrate concentrations, respectively, and the first order biodegradation rate constants predicted by a previous QSBR study. Similarly, the correlation between qmax and selected molecular descriptors characterizing the chemicals structure in a previous QSBR study was also significant. These results suggest that QSBR models can be reliable and robust in prioritising chemical half-lives for regulatory screening purposes.

The removal of β-estradiol (E2) and α-ethinylestradiol (EE2) in biological wastewater treatment plants (WWTP) would need to be improved in order to comply with prospective Environmental Quality Standards (EQS) of 0.4 and 0.035 ng.L−1 respectively. The effluent concentration of a micropollutant in an activated sludge process is a function of the removal rate, the hydraulic retention time (HRT) and the flow pattern, which is usually overlooked. In order to better understand this aspect, we carried out tracer studies in eight WWTPs in the UK and found that relatively modest changes in aeration tanks would translate into tangible improvements in their flow pattern. We further evaluated the degradation rates for E1 (estrone), E2, E3 (estriol) and EE2 in each WWTP and we estimated that the modification of the flow pattern would be sufficient to place effluent concentrations of E2 (23.2 L∙gVSS−1∙d−1

The objective of this work was to develop a QSBR model for the prioritization of organic pollutants based on biodegradation rates from a database containing globally harmonized biodegradation tests using relevant molecular descriptors. To do this, we first categorized the chemicals into three groups (Group 1: simple aromatic chemicals with a single ring, Group 2: aromatic chemicals with multiple rings and Group3: Group 1 plus Group 2) based on molecular descriptors, estimated the first order biodegradation rate of the chemicals using rating values derived from the BIOWIN3 model, and finally developed, validated and defined the applicability domain of models for each group using a multiple linear regression approach. All the developed QSBR models complied with OECD principles for QSAR validation. The biodegradation rate in the models for the two groups (Group 2 and 3 chemicals) are associated with abstract molecular descriptors that provide little relevant practical information towards understanding the relationship between chemical structure and biodegradation rates. However, molecular descriptors associated with the QSBR model for Group 1 chemicals (R

Rapid quantification of absolute microbial cell abundances is important for a comprehensive interpretation of microbiome surveys and crucial to support theoretical modelling and the design of engineered systems. In this paper, we propose a protocol specifically optimised for the quantification of microbial abundances in water biofilters using flow cytometry (FCM). We optimised cell detachment from sand biofilter particles for FCM quantification through the evaluation of five chemical dispersants (NaCl, Triton-X100, CaCl

Little is known about the forces that determine the assembly of diverse bacterial communities inhabiting drinking water treatment filters and how this affects drinking water quality. Two contrasting ecological theories can help to understand how natural microbial communities assemble; niche theory and neutral theory, where environmental deterministic factors or stochastic factors predominate respectively. This study investigates the development of the microbial community on two common contrasting filter materials (quartz sand and granular activated carbon-GAC), to elucidate the main factors governing their assembly, through the evaluation of environmental (i.e. filter medium type) and stochastic forces (random deaths, births and immigration). Laboratory-scale filter columns were used to mimic a rapid gravity filter; the microbiome of the filter materials, and of the filter influent and effluent, was characterised using next generation 16S rRNA gene amplicon sequencing and flow-cytometry. Chemical parameters (i.e. dissolved organic carbon, trihalomethanes formation) were also monitored to assess the final effluent quality. The filter communities seemed to be strongly assembled by selection rather than neutral processes, with only 28% of those OTUs shared with the source water detected on the filter medium following predictions using a neutral community model. GAC hosted a phylogenetically more diverse community than sand. The two filter media communities seeded the effluent water, triggering differences in both water quality and community composition of the effluents. Overall, GAC proved to be better than sand in controlling microbial growth, by promoting higher bacterial decay rates and hosting less bacterial cells, and showed better performance for putative pathogen control by leaking less Legionella cells into the effluent water.

Temperature is the bottleneck for the anaerobic treatment of domestic wastewater in temperate climates. Most previous attempts to achieve anaerobic treatment at low temperatures have attempted to acclimatize mesophilic sludge and have failed at temperatures below 10–13 °C. We describe an alternative approach using communities from environments that have been exposed to low temperatures over evolutionary time-scales as seed for such reactors. Batch reactors were inoculated with a mixture of soils and sediments from the high Arctic and an Alpine lake to treat UV-sterilized raw domestic wastewater at 4, 8 and 15 °C. To evaluate the intrinsic treatment capacity of the bacteria the specific rates of methanogenesis and hydrolysis were evaluated. Specific methanogenic activity at 4, 8 and 15 °C was 6.3, 7.6 and 10.3 fmol CH4 cell−1day−1 respectively. Specific putative hydrolysis rates were 76.2, 186.6 and 251.9 fgrams COD cell−1day−1. Hydrolysis was twice as temperature sensitive as methanogenesis (Q10: 4.62 and 1.57 respectively). The specific rates are over ten times higher than we have previously observed in microcosms fed with settled wastewater at the same temperatures. The results imply that inoculating reactors with cold-adapted communities is a promising way to develop biomass capable of treating anaerobic wastewater treatment at low temperatures whilst achieving an effluent that conforms to the EC Directive COD standards. Large-scale reactors are feasible if satisfactory cell concentrations can be achieved.

Biological treatment processes are "complex systems" where many different kinds of microbes grow and interact in a dynamic manner. Understanding the relationship between microbial diversity and bioreactor performance could facilitate the optimisation of bioreactor design and enable the solution of bioreactor-related problems. However, systematic studies of the effects of operating variables on microbial diversity and reactor performance are rare. In this study, we determined the effects of different operating conditions and system configurations on the performance of laboratory-scale activated sludge reactors and microbial diversity, based on experiments designed using the factorial design approach. We found that the overall system performance and the diversity of the microbial communities in the reactors were affected by changes in the operating parameters. However, the relationship between diversity and performance was sometimes counterintuitive, as increases in system performance were not always associated with increased community diversity. Reactor configuration and addition of soil had the biggest effects on reactor performance, while the effects of organic loading rates and feed composition were less marked. Of all these parameters, reactor configuration was the only one that had a consistent effect on reactor community diversity.

Recent studies using quantitative fluorescence in situ hybridization (FISH) have supported the principle that there are mycolata concentration thresholds, above which foaming is likely to occur. In this study, we surveyed 14 wastewater treatment plants (WWTPs) in the UK, using quantitative FISH, to establish that the principle of a mycolata threshold (2 x 10(6) mycolata cells ml(-1) mixed liquor suspended solids) is an empirical though widely held value. In addition, we designed, optimized and applied probes for members of the less hydrophobic mycolata genera Corynebacterium and Dietzia, to show that these organisms dominated the mycolata populations in two non-foaming WWTPs where the mycolata concentrations were above the threshold value. We propose that the mycolata threshold value is only applicable to hydrophobic members of the mycolata.

The use of molecular methods to investigate microalgal communities of natural and engineered freshwater resources is in its infancy, with the majority of previous studies carried out by microscopy. Inefficient or differential DNA extraction of microalgal community members can lead to bias in downstream community analysis. Three commercially available DNA extraction kits have been tested on a range of pure culture freshwater algal species with diverse cell walls and mixed algal cultures taken from eutrophic waste stabilization ponds (WSP). DNA yield and quality were evaluated, along with DNA suitability for amplification of 18S rRNA gene fragments by polymerase chain reaction (PCR). QiagenDNeasy(®) Blood and Tissue kit (QBT), was found to give the highest DNA yields and quality. Denaturant Gradient Gel Electrophoresis (DGGE) was used to assess the diversity of communities from which DNA was extracted. No significant differences were found among kits when assessing diversity. QBT is recommended for use with WSP samples, a conclusion confirmed by further testing on communities from two tropical WSP systems. The fixation of microalgal samples with ethanol prior to DNA extraction was found to reduce yields as well as diversity and is not recommended.

Bioremediation and activated carbon (AC) amendment were compared as remediation strategies for sediment from the River Tyne containing 16.4 +/- 7.3 microg/g polycyclic aromatic hydrocarbons (PAHs) and approximately 5% coal particles by total dry sediment weight. Unamended, nutrient amended (biostimulated) and nutrient and Pseudomonas putida amended (bioaugmented) sediment microcosms failed to show a significant decrease in total sediment PAH concentrations over a one month period. Polyethylene passive (PE) samplers were embedded for 21 days in these sediment microcosms in order to measure the available portion of PAHs and accumulated 4.70 +/- 0.25, 12.43 +/- 1.78, and 23.49 +/- 2.73 microg PAHs/g PE from the unamended, biostimulated, and bioaugmented microcosms, respectively. Higher PAH uptake by PE samplers in biostimulated and bioaugmented microcosms coincided with slower degradation of spiked phenanthrene in sediment-free filtrate from these microcosms compared to filtrate from the unamended microcosms. Microbial community analysis revealed changes in the bacterial community directly following the addition of nutrients, but the added P. putida community failed to establish itself. Addition of 2% by dry sediment weight activated carbon reduced PAH uptake by PE samplers to 0.28 +/- 0.01 microg PAHs/g PE, a greater than 90% reduction compared to the unamended microcosms.

This study investigated the formation of the microbial communities in two horizontal subsurface-flow laboratory-scale constructed wetlands, one planted and the other one unplanted. The abundance of the predominant functional groups (Archaea, Bacteria and sulphate-reducing bacteria) was determined using fluorescence in situ hybridization and the diversity and community structure of those functional groups were analysed using denaturing gradient gel electrophoresis. The numbers of Archaea, Bacteria and sulphate-reducing bacteria were indistinguishable in both reactors (P=0.99, 0.80 and 0.55, respectively). The microbial communities in both wetlands were typically no more similar than if they had been randomly assembled from a common source community. Plants did not appear to exert a strong effect on the structure of the microbial communities in the horizontal subsurface-flow constructed wetlands (HSCWs) studied in this investigation.

We wished to discover if we could gain greater insights into how biological treatment plants function by contrasting the presence and activity of the most abundant Bacteria in plug flow and completely mixed activated sludge plants. Presence was assessed by amplifying 16S rRNA gene fragments (using PCR) and activity by amplifying native 16S rRNA, using reverse-transcriptase PCR (RT-PCR), using Bacteria -specific primers. The amplified sequences were compared using denaturing gradient gel electrophoresis (DGGE). The plug flow plant exhibited a strong physico-chemical gradient with an initial anoxic zone, whilst the two completely mixed reactors did not. Similarities were observed between the profile of the banding pattern for presence and activity. However, in the plug flow reactor one prominent band was detected in the active population (16S rRNA) but was absent from the corresponding profile of the 16S rRNA gene. Sequencing of this band revealed its identity as a Nitrosomonas -like sequence. The intensity of the 16S rRNA sequenced varied along the physico-chemical gradient of the plug-flow reactor in a manner that coincided with the growth of ammonia-oxidising bacteria (AOB) and the loss of ammonia. This band was also absent from the completely mixed reactors, although significant numbers of AOB were detected in all systems (∼10 6 –10 8 cells ml −1 ) by fluorescence in situ hybridisation (FISH). An abundant and highly active AOB population was present in the anoxic zone of the plug-flow reactor where up to 60% of the total ammonia was removed. An examination of nitrogen removal/production rates, together with the above data, reveal that complex nitrogen removal processes occur in this system. These data also enabled the calculation of a specific in situ growth rate for the AOB as 0.12 h −1 .