F. Corbera Rubio
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11 records found
1
Iron (Fe2+), manganese (Mn2+), and ammonium (NH4+) are the three most common contaminants in anaerobic groundwater and are typically removed in rapid sand filters in a series of simultaneous, uncontrolled, and interconnected redox reactions. In this study, we demonstrated separation of these oxidation processes, including reversing the order of NH4+and Mn2+oxidation, allowing Mn2+to oxidize before NH4+. To achieve this uncommon sequence, the filter was operated with low O2 concentrations (∼0.02 mmol/L, ∼0.5 mg/L) and a high pH (∼8). Under these conditions, Mn2+ oxidation is consuming all available O2, suppressing the occurrence of NH4+oxidation. In the filter with low O2 (0.08 mmol/L, ∼3 mg/L) and low pH (∼6.8), the opposite was observed, as Mn2+ oxidation was delayed under these conditions, resulting in complete O2 consumption by NH4+-oxidizing bacteria. Reactive transport modelling and parameter estimation revealed that Mn2+ oxidation is one order of magnitude faster in absence of NH4+ oxidation (1.4 × 10−2 vs 2.5 × 10−3 mmol/L), whereas NH4+ oxidation seemed to be accelerated by simultaneous Mn2+ oxidation (6.8 × 10−3 vs 2.9 × 10−2 s−1). This interconnection between Mn2+ and NH4+ oxidation was further emphasized by the observation of Mn2+ release in the presence of NO2−. In conclusion, this study has shown that a shift from conventional aerated groundwater treatment to sequential oxidation in separate filters offers (i) a more controllable system, (ii) the potential to optimize the rates of each oxidation process separately, which would ultimately result in higher flows and less backwashing.
A difficult coexistence
Resolving the iron-induced nitrification delay in groundwater filters
Rapid sand filters (RSF) are an established and widely applied technology for the removal of dissolved iron (Fe2+) and ammonium (NH4+) among other contaminants in groundwater treatment. Most often, biological NH4+oxidation is spatially delayed and starts only upon complete Fe2+ depletion. However, the mechanism(s) responsible for the inhibition of NH4+oxidation by Fe2+ or its oxidation (by)products remains elusive, hindering further process control and optimization. We used batch assays, lab-scale columns, and full-scale filter characterizations to resolve the individual impact of the main Fe2+ oxidizing mechanisms and the resulting products on biological NH4+ oxidation. modeling of the obtained datasets allowed to quantitatively assess the hydraulic implications of Fe2+ oxidation. Dissolved Fe2+ and the reactive oxygen species formed as byproducts during Fe2+ oxidation had no direct effect on ammonia oxidation. The Fe3+ oxides on the sand grain coating, commonly assumed to be the main cause for inhibited ammonia oxidation, seemed instead to enhance it. modeling allowed to exclude mass transfer limitations induced by accumulation of iron flocs and consequent filter clogging as the cause for delayed ammonia oxidation. We unequivocally identify the inhibition of NH4+oxidizing organisms by the Fe3+ flocs generated during Fe2+ oxidation as the main cause for the commonly observed spatial delay in ammonia oxidation. The addition of Fe3+ flocs inhibited NH4+oxidation both in batch and column tests, and the removal of Fe3+ flocs by backwashing completely re-established the NH4+removal capacity, suggesting that the inhibition is reversible. In conclusion, our findings not only identify the iron form that causes the inhibition, albeit the biological mechanism remains to be identified, but also highlight the ecological importance of iron cycling in nitrifying environments.
“Candidatus Siderophilus nitratireducens”
A putative nap-dependent nitrate-reducing iron oxidizer within the new order Siderophiliales
Anaerobic groundwater is an excellent drinking water source. It presents several advantages over its counterpart, surface water, such as constant quality and temperature, and it is considered to be microbiologically safe. The main contamination sources of anaerobic groundwater are the decomposition of natural organic matter and the dissolution of soil minerals. The first one produces compounds such as ammonia, while the second introduces manganese, iron, and trace metals. Iron, ammonia and manganese must be removed from groundwater to produce drinking water. For this purpose, humans have been using rapid sand filtration - preceded by an aeration step - for over a century.
The purpose of aeration is to strip out undesired gases and to introduce oxygen up to saturation levels. At this oxidation-reduction potential, iron, ammonia and manganese are oxidized by different physical-chemical and biological processes in the subsequent rapid sand filter. As a result, most contaminants precipitate, forming solids that are captured by the filter, and clean water is produced. Although widely used and robust, solid understanding of the intricacies of rapid sand filters is still missing. A high degree of complexity is hidden behind their seemingly simple working principles.
The main reason underneath this extraordinary complexity is the high oxygen load introduced during the aeration step. The saturation of anaerobic groundwater with oxygen onsets a series of simultaneous, interwoven and uncontrolled reactions whose nature and contribution to the overall process remains unknown and generally unpredictable. This process convolution precludes understanding and optimization of rapid sand filtration.
The overarching goal of this thesis is to gain knowledge to advance towards the design of high-flow, resource-efficient sand filters. To do so, we must be able to understand the mechanisms that govern which reactions take place, in which order they occur, and how they affect each other, which will ultimately allow us to predict and control i) microbial community assembly and performance and ii) the interplay between chemical and biological reactions. In the first part of this thesis, we focused on gaining mechanistic understanding of how current sand filters work using laboratory, pilot, and full-scale experiments. In the second one, we used this freshly acquired knowledge to design and test novel systems…
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Anaerobic groundwater is an excellent drinking water source. It presents several advantages over its counterpart, surface water, such as constant quality and temperature, and it is considered to be microbiologically safe. The main contamination sources of anaerobic groundwater are the decomposition of natural organic matter and the dissolution of soil minerals. The first one produces compounds such as ammonia, while the second introduces manganese, iron, and trace metals. Iron, ammonia and manganese must be removed from groundwater to produce drinking water. For this purpose, humans have been using rapid sand filtration - preceded by an aeration step - for over a century.
The purpose of aeration is to strip out undesired gases and to introduce oxygen up to saturation levels. At this oxidation-reduction potential, iron, ammonia and manganese are oxidized by different physical-chemical and biological processes in the subsequent rapid sand filter. As a result, most contaminants precipitate, forming solids that are captured by the filter, and clean water is produced. Although widely used and robust, solid understanding of the intricacies of rapid sand filters is still missing. A high degree of complexity is hidden behind their seemingly simple working principles.
The main reason underneath this extraordinary complexity is the high oxygen load introduced during the aeration step. The saturation of anaerobic groundwater with oxygen onsets a series of simultaneous, interwoven and uncontrolled reactions whose nature and contribution to the overall process remains unknown and generally unpredictable. This process convolution precludes understanding and optimization of rapid sand filtration.
The overarching goal of this thesis is to gain knowledge to advance towards the design of high-flow, resource-efficient sand filters. To do so, we must be able to understand the mechanisms that govern which reactions take place, in which order they occur, and how they affect each other, which will ultimately allow us to predict and control i) microbial community assembly and performance and ii) the interplay between chemical and biological reactions. In the first part of this thesis, we focused on gaining mechanistic understanding of how current sand filters work using laboratory, pilot, and full-scale experiments. In the second one, we used this freshly acquired knowledge to design and test novel systems…
Rapid sand filters (RSF) are an established and widely applied technology for groundwater treatment. Yet, the underlying interwoven biological and physical-chemical reactions controlling the sequential removal of iron, ammonia and manganese remain poorly understood. To resolve the contribution and interactions between the individual reactions, we studied two full-scale drinking water treatment plant configurations, namely (i) one dual-media (anthracite and quartz sand) filter and (ii) two single-media (quartz sand) filters in series. In situ and ex situ activity tests were combined with mineral coating characterization and metagenome-guided metaproteomics along the depth of each filter. Both plants exhibited comparable performances and process compartmentalization, with most of ammonium and manganese removal occurring only after complete iron depletion. The homogeneity of the media coating and genome-based microbial composition within each compartment highlighted the effect of backwashing, namely the complete vertical mixing of the filter media. In stark contrast to this homogeneity, the removal of the contaminants was strongly stratified within each compartment, and decreased along the filter height. This apparent and longstanding conflict was resolved by quantifying the expressed proteome at different filter heights, revealing a consistent stratification of proteins catalysing ammonia oxidation and protein-based relative abundances of nitrifying genera (up to 2 orders of magnitude difference between top and bottom samples). This implies that microorganisms adapt their protein pool to the available nutrient load at a faster rate than the backwash mixing frequency. Ultimately, these results show the unique and complementary potential of metaproteomics to understand metabolic adaptations and interactions in highly dynamic ecosystems.