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- Member of: ASU Electronic Theses and Dissertations
Description
The microbial electrochemical cell (MXC) is a novel environmental-biotechnology platform for renewable energy production from waste streams. The two main goals of MXCs are recovery of renewable energy and production of clean water. Up to now, energy recovery, Coulombic efficiency (CE), and treatment efficiency of MXCs fed with real wastewater have been low. Therefore, the overarching goal of my research was to address the main causes for these low efficiencies; this knowledge will advance MXCs technology toward commercialization.
First, I found that fermentation, not anode respiration, was the rate-limiting step for achieving complete organics removal, along with high current densities and CE. The best performance was achieved by doing most of the fermentation in an independent reactor that preceded the MXC. I also outlined how the efficiency of fermentation inside MXCs can be enhanced in order to make MXCs-based technologies cost-competitive with other anaerobic environmental biotechnologies. I revealed that the carbohydrate and protein contents and the BOD5/COD ratio governed the efficiency of organic-matter fermentation: high protein content and low BOD5/COD ratio were the main causes for low fermentation efficiency.
Next, I showed how a high ammonium concentration can provide kinetic and metabolic advantages or disadvantages for anode-respiring bacteria (ARB) over their competitors, particularly methanogens. When exposed to a relatively high ammonium concentration (i.e., > 2.2 g total ammonia-nitrogen (TAN)/L), the ARB were forced to divert a greater electron flow toward current generation and, consequently, had lower net biomass yield. However, the ARB were relatively more resistant to high free ammonia-nitrogen (FAN) concentrations, up to 200 mg FAN/L. I used FAN to manage ecological interactions among ARB and non-ARB in an MXC fed with fermentable substrate (glucose). Utilizing a combination of chemical, electrochemical, and genomic tools, I found that increased FAN led to higher CE and lower methane (CH4) production by suppressing methanogens. Thus, managing FAN offers a practical means to suppress methanogenesis, instead of using expensive and unrealistic inhibitors. My research findings open up new opportunities for more efficient operation of MXCs; this will enhance MXC scale-up and commercial applications, particularly for energy-positive treatment of waste streams containing recalcitrant organics.
First, I found that fermentation, not anode respiration, was the rate-limiting step for achieving complete organics removal, along with high current densities and CE. The best performance was achieved by doing most of the fermentation in an independent reactor that preceded the MXC. I also outlined how the efficiency of fermentation inside MXCs can be enhanced in order to make MXCs-based technologies cost-competitive with other anaerobic environmental biotechnologies. I revealed that the carbohydrate and protein contents and the BOD5/COD ratio governed the efficiency of organic-matter fermentation: high protein content and low BOD5/COD ratio were the main causes for low fermentation efficiency.
Next, I showed how a high ammonium concentration can provide kinetic and metabolic advantages or disadvantages for anode-respiring bacteria (ARB) over their competitors, particularly methanogens. When exposed to a relatively high ammonium concentration (i.e., > 2.2 g total ammonia-nitrogen (TAN)/L), the ARB were forced to divert a greater electron flow toward current generation and, consequently, had lower net biomass yield. However, the ARB were relatively more resistant to high free ammonia-nitrogen (FAN) concentrations, up to 200 mg FAN/L. I used FAN to manage ecological interactions among ARB and non-ARB in an MXC fed with fermentable substrate (glucose). Utilizing a combination of chemical, electrochemical, and genomic tools, I found that increased FAN led to higher CE and lower methane (CH4) production by suppressing methanogens. Thus, managing FAN offers a practical means to suppress methanogenesis, instead of using expensive and unrealistic inhibitors. My research findings open up new opportunities for more efficient operation of MXCs; this will enhance MXC scale-up and commercial applications, particularly for energy-positive treatment of waste streams containing recalcitrant organics.
ContributorsMohamed, Mohamed Mahmoud Ali (Author) / Rittmann, Bruce E. (Thesis advisor) / Torres, Cesar I. (Thesis advisor) / Westerhoff, Paul (Committee member) / Parameswaran, Prathap (Committee member) / Arizona State University (Publisher)
Created2016
Description
Generally, porous structures are nano-enabled with a high loading of nanoparticles (NPs) to enhance adsorption capacity, but pore blockage plays a determinant role in kinetics in this approach. The goal of this study is to investigate the effect of NPs loading on the adsorption kinetics and capacity of titanium dioxide (TiO2). To accomplish this, side-emitting optical fibers impregnated with different mass loadings of TiO2 (Ti-NIFs) were developed and characterized. Additionally, taking advantage of the use of optical fibers, the potential influence of ultraviolet light (UV) irradiation in arsenate adsorption over TiO2 was studied. The adsorption kinetics and capacity of Ti-NIFs were compared with slurry TiO2 nanoparticles in batch reactors. Arsenate adsorption was evaluated under both UV irradiation and dark conditions. The Ti-NIF with the lowest TiO2 loading showed comparable adsorption rate to NPs in suspension. Higher loadings resulted in high mass-transfer limitations. Interestingly, the normalized adsorption capacity of the produced Ti-NIFs maintained the adsorption capacity similar as they were freely dispersed. The experiments showed that UV has no influence in arsenate adsorption onto TiO2, contrary to previous literature indicating a positive effect, which was likely due to pH drift. Overall, this study shows that loadings of nanoparticles below 1% effectively enhance nano-enabled surfaces' performance.
ContributorsGonzalez Rodriguez, Jose Ricardo (Author) / Westerhoff, Paul (Thesis advisor) / Garcia-Segura, Sergi (Committee member) / Hristovski, Kiril (Committee member) / Arizona State University (Publisher)
Created2023
Description
Electrochemical technologies emerge as a feasible solution to monitor and treat pollutants. Although electrochemical technologies have garnered widespread attention, their commercial applications are still constrained by the use of expensive electrocatalysts, and the bulky and rigid plate design of electrodes that restricts electrochemical reactor design to systems with poor electrode surface/ volume treated ratios. By making electrodes flexible, more compact designs that maximize electrode surface per volume treated might become a reality. This dissertation encompasses the successful fabrication of flexible nanocomposite electrodes for electrocatalysis and electroanalysis applications.First, nano boron-doped diamond electrodes (BDD) were prepared as an inexpensive alternative to commercial boron-doped diamond electrodes. Comparative detailed surface and electrochemical characterization was conducted. Empirical study showed that replacing commercial BDD electrodes with nano-BDD electrodes can result in a cost reduction of roughly 1000x while maintaining the same electrochemical performance.
Next, self-standing electrodes were fabricated through the electropolymerization of conducing polymer, polypyrrole. Surface characterizations, such as SEM, FTIR and XPS proved the successful fabrication of these self-standing electrodes. High mechanical stability and bending flexibility demonstrated the ability to use these electrodes in different designs, such as roll-to-roll membranes. Electrochemical nitrite reduction was employed to demonstrate the viability of using self-standing nanocomposite electrodes for electrocatalytic applications reducing hazardous nitrogen oxyanions (i.e., nitrite) towards innocuous species such as nitrogen gas. A high faradaic efficiency of 78% was achieved, with high selectivity of 91% towards nitrogen gas.
To further enhance the conductivity and charge transfer properties of self-standing polypyrrole electrodes, three different nanoparticles, including copper (Cu), gold (Au), and platinum (Pt), were incorporated in the polypyrrole matrix. Effect of nanoparticle wt% and interaction between metal nanoparticles and polypyrrole matrix was investigated for electroanalytical applications, specifically dopamine sensing. Flexible nanocomposite electrodes showed outstanding performance as electrochemical sensors with PPy-Cu 120s exhibiting a low limit of detection (LOD) of 1.19 µM and PPy-Au 120s exhibiting a high linear range of 5 µM - 300 µM.
This dissertation outlines a method of fabricating self-standing electrodes and provides a pathway of using self-standing electrodes based on polypyrrole and polypyrrole-metal nanocomposites for various applications in wastewater treatment and electroanalytical sensing.
ContributorsBansal, Rishabh (Author) / Garcia-Segura, Sergio (Thesis advisor) / Westerhoff, Paul (Committee member) / Perreault, Francois (Committee member) / Chan, Candace (Committee member) / Arizona State University (Publisher)
Created2023
Description
N-nitrosodimethylamine (NDMA) is a probable human carcinogen that has been detected in various environments including the atmosphere, clouds, surface waters, and drinking water. NDMA can form through natural reactions in the aqueous phase of the atmosphere and it can form as a disinfection byproduct in water treatment. Due to its carcinogenic nature, it is important to understand the mechanism of formation of NDMA in both engineered processes such as water treatment and in natural processes in fogs and clouds. NDMA might form through the reaction of chloramines with amines in both cases. This work analyzes polydiallyldimethyl ammonium chloride (PolyDADMAC), which is the most commonly used polymer at drinking water treatment plants and has the potential to form NDMA if free polymer is present during the chloramination (disinfection) process. The composition of industrial polyDADMAC solutions is not well understood and is difficult to analyze. This work uses 1H and 13C nuclear magnetic resonance (NMR) to analyze the polymer solution composition. Both 1H and 13C NMR allow investigation of the presence of trace impurities in the solution, gather structural information such as chain length, and inform on reaction mechanisms. The primary impurities of concern for NDMA formation were identified as dimethylamine (DMA) and short-chain oligomers of the polyDADMAC. 13C NMR was further used to confirm that NDMA likely forms from polyDADMAC via a Hofmann elimination.
Chloramines might also form in fogs and clouds although to date the potential for chloramines to form NDMA in atmospheric fog and cloud droplets has not been investigated. This work uses computational modeling to determine that at reported atmospheric conditions, the chloramine pathway contributes to less than 0.01% NDMA formation. The numerical modeling identified a need for more atmospheric HOCl measurements. This work proposes a concept of using HOCl to react to form chloramine, which can react to form NDMA as a way to quantify atmospheric HOCl.
ContributorsDonovan, Samantha Jo (Author) / Herckes, Pierre (Thesis advisor) / Westerhoff, Paul (Committee member) / Hayes, Mark (Committee member) / Arizona State University (Publisher)
Created2022
Description
The prevalence and unique properties of airborne nanoparticles have raised concerns regarding their potential adverse health effects. Despite their significance, the understanding of nanoparticle generation, transport, and exposure remains incomplete. This study first aimed to assess nanoparticle exposure in indoor workplace environments, in the semiconductor manufacturing industry. On-site observations during tool preventive maintenance revealed a significant release of particles smaller than 30 nm, which subsequent instrumental analysis confirmed as predominantly composed of transition metals. Although the measured mass concentration levels did not exceed current federal limits, it prompted concerns regarding how well filter-based air sampling methods would capture the particles for exposure assessment and how well common personal protective equipment would protect from exposure. To address these concerns, this study evaluated the capture efficiency of filters and masks. When challenged by aerosolized engineered nanomaterials, common filters used in industrial hygiene sampling exhibited capture efficiencies of over 60%. Filtering Facepiece Respirators, such as the N95 mask, exhibited a capture efficiency of over 98%. In contrast, simple surgical masks showed a capture efficiency of approximately 70%. The experiments showed that face velocity and ambient humidity influence capture performance and mostly identified the critical role of mask and particle surface charge in capturing nanoparticles. Masks with higher surface potential exhibited higher capture efficiency towards nanoparticles. Eliminating their surface charge resulted in a significantly diminished capture efficiency, up to 43%. Finally, this study characterized outdoor nanoparticle concentrations in the Phoenix metropolitan area, revealing typical concentrations on the order of 10^4 #/cm3 consistent with other urban environments. During the North American monsoon season, in dust storms, with elevated number concentrations of large particles, particularly in the size range of 1-10 μm, the number concentration of nanoparticles in the size range of 30-100 nm was substantially lower by approximately 55%. These findings provide valuable insights for future assessments of nanoparticle exposure risks and filter capture mechanisms associated with airborne nanoparticles.
ContributorsZhang, Zhaobo (Author) / Herckes, Pierre (Thesis advisor) / Westerhoff, Paul (Committee member) / Shock, Everett (Committee member) / Fraser, Matthew (Committee member) / Arizona State University (Publisher)
Created2023
Description
Anthropogenic processes have increased the concentration of toxic Se, As and N in water. Oxo-anions of these species are poisonous to aquatic and terrestrial life. Current remediation techniques have low selectivity towards their removal. Understanding the chemistry and physics which control oxo-anion adsorption on metal oxide and the catalytic nitrate reduction to inform improved remediation technologies can be done using Density functional theory (DFT) calculations. The adsorption of selenate, selenite, and arsenate was investigated on the alumina and hematite to inform sorbent design strategies. Adsorption energies were calculated as a function of surface structure, composition, binding motif, and pH within a hybrid implicit-explicit solvation strategy. Correlations between surface property descriptors including water network structure, cationic species identity, and facet and the adsorption energies of the ions show that the surface water network controls the adsorption energy more than any other, including the cationic species of the metal-oxide. Additionally, to achieve selectivity for selenate over sulphate, differences in their electronic structure must be exploited, for example by the reduction of selenate to selenite by Ti3+ cations.
Thermochemical or electrochemical reduction pathways to convert NO3- to N2 or NH3, which are benign or value-added products, respectively are examined over single-atom electrocatalysts (SAC) in Cu. The activity and selectivity for nitrate reduction are compared with the competitive hydrogen evolution reaction (HER). Cu suppresses HER but produces toxic NO2- because of a high activation barrier for cleaving the second N-O bond. SACs provide secondary sites for reaction and break traditional linear scaling relationships. Ru-SACs selectively produce NH3 because N-O bond scission is facile, and the resulting N remains isolated on SAC sites; reacting with H+ from solvating H2O to form ammonia. Conversely, Pd-SAC forms N2 because the reduced N* atoms migrate to the Cu surface, which has a low H availability, allowing N atoms to combine to N2. This relation between N* binding preference and reduction product is demonstrated across an array of SAC elements.
Hence, the solvation effects on the surface critically alter the activity of adsorption and catalysis and the removal of toxic pollutants can be improved by altering the surface water network.
ContributorsGupta, Srishti (Author) / Muhich, Christopher L (Thesis advisor) / Singh, Arunima (Committee member) / Emady, Heather (Committee member) / Westerhoff, Paul (Committee member) / Deng, Shuguang (Committee member) / Arizona State University (Publisher)
Created2023
Description
Due to the use of fertilizers, concentrations of harmful nitrate have increased in groundwater and surface waters globally in the last century. Water treatment plants primarily use separation techniques for nitrate treatment, but these technologies create a high nitrate concentration brine that is costly to dispose of. This dissertation focuses on catalytic hydrogenation, an emerging technology capable of reducing nitrate to nitrogen gas using hydrogen gas (H2). This technology reduces nitrate at rates >95% and is an improvement over technologies used at water treatment plants, because the nitrate is chemically transformed with harmless byproducts and no nitrate brine. The goal of this dissertation is to upgrade the maturity of catalytic nitrate hydrogenation systems by overcoming several barriers hindering the scale-up of this technology. Objective 1 is to compare different methods of attaching the bimetallic catalyst to a hollow-fiber membrane surface to find a method that results in 1) minimized catalyst loss, and 2) repeatable nitrate removal over several cycles. Results showed that the In-Situ MCfR-H2 deposition was successful in reducing nitrate at a rate of 1.1 min-1gPd-1 and lost less than 0.05% of attached Pd and In cumulatively over three nitrate treatment cycles. Objective 2 is to synthesize catalyst-films with varied In3+ precursor decorated over a Pd0 surface to show the technology can 1) reliably synthesize In-Pd catalyst-films with varied bimetallic ratios, and 2) optimize nitrate removal activity by varying In-Pd ratio. Results showed that nitrate removal activity was optimized with a rate constant of 0.190 mg*min-1L-1 using a catalyst-film with a 0.045 In-Pd ratio. Objective 3 is to perform nitrate reduction in a continuous flow reactor for two months to determine if nitrate removal activity can be sustained over extended operation and identify methods to overcome catalyst deactivation. Results showed that a combination of increased hydraulic residence time and reduced pH was successful in increasing the nitrate removal and decreasing harmful nitrite byproduct selectivity to 0%. These objectives increased the technology readiness of this technology by enabling the reuse of the catalyst, maximizing nitrate reduction activity, and achieving long-term nitrate removal.
ContributorsLevi, Juliana (Author) / Westerhoff, Paul (Thesis advisor) / Rittmann, Bruce (Thesis advisor) / Garcia-Segura, Sergi (Committee member) / Wong, Michael (Committee member) / Lind Thomas, Mary Laura (Committee member) / Emady, Heather (Committee member) / Arizona State University (Publisher)
Created2023
Description
The world currently faces hundreds of millions of cubic meters of soil contaminated with petroleum crude oil residuals. The application of ozone gas (O3) to contaminated soil is an effective means to oxidize petrogenic compounds and, when used with bioremediation, remove the oxidized byproducts. The overarching goal of this dissertation was to evaluate two areas of potential concern to large-scale O3 deployment: the capacity of O3-treated petroleum contaminated soils to support seed germination before bioremediation and the transport characteristics of O3 in soil columns. A matched study comparing the germination outcomes of radish (Raphanus sativus L.), grass (Lagurus ovatus), and lettuce (Lactuca sativa) in soils contaminated with three crude oils at various O3 total-dose levels showed that radish germination was sensitive to the soluble byproducts of oxidized petroleum (assayed as dissolved organic carbon [DOC]), but not sensitive to the unreacted petroleum (total petroleum hydrocarbon [TPH]). A multivariable logistic regression model based on the radish results showed that adverse germination outcomes varied with the DOC concentration and that DOC ecotoxicity decreased with increasing O3 dose-level and background organic material. The model was used to create a risk management map of conditions that created 10%, 25%, and 50% extra risks of adverse radish germination. Thus, while O3 effectively lowered TPH in soils, the byproducts exhibited ecotoxicity that inhibited radish germination. On the other hand, the sensitivity of radish germination to oxidized petroleum byproducts could be utilized to assess ecological risk. The feasibility of gas transport in the soil matrix is also of paramount concern to field-scale utilization of O3. A matched study comparing TPH removal at three field-relevant loading rates (4, 12, or 36 mgozone/ gsoil/ hr) and various total dose-levels showed an anisotropic pattern along the axial distance favoring the column inlet end. The asymmetry decreased as loading rate decreased and with concurrent improvements in O3-transport distance, O3 utilization, and heat balance. Overall, a low O3 loading rate significantly improved O3 transport and utilization efficiency, while also better distributing reaction-generated heat along the gas flow path for a depth typically utilized in bioremediation field settings.
ContributorsYavuz, Burcu Manolya (Author) / Rittmann, Bruce E (Thesis advisor) / Delgado, Anca G (Committee member) / Westerhoff, Paul (Committee member) / Arizona State University (Publisher)
Created2022
Description
Plastics, when released into the environment, undergo surface weathering due to mechanical abrasion and ultraviolet (UV) exposure that leads to the formation of microplastics. Weathering also introduces oxygen functional groups on the surface, which will affect surface interactions compared to pristine plastics. In this study, the adsorption of selected model contaminants of high environmental relevance was evaluated at different level of abiotic and biotic transformation to understand how microplastics aging influences contaminant adsorption on high density polyethylene (HDPE) and polypropylene (PPE). Microplastics were aged through an accelerated weathering process using UV exposure with or without hydrogen peroxide. The effect of UV aging on the microplastics’ morphology and surface chemistry was characterized by Fourier Transform Infrared Spectroscopy, X-Ray Photoelectron Spectroscopy, streaming Zeta potential, Brunauer–Emmett–Teller Krypton adsorption analyses and Computed X-Ray Tomography. Sorption of organic contaminants was found to be higher on aged microplastics compared to pristine ones for all contaminants investigated. This increase in sorption affinity was found to be associated with a change in the surface chemistry and not in an increase in specific surface area after aging. Biological surface weathering (i.e., biofilm formation) was carried out at a lab-scale setting using model biofilm-forming bacteria followed by adsorption affinity measurement of biofilm-laden microplastics with the model organic contaminants. The amount of microbial biomass accumulated on the surface was also evaluated to correlate the changes in sorption affinity with the change in microplastic biofilm formation. The results of this study emphasize the need to understand how contaminant-microplastics interactions will evolve as microplastics are altered by biotic and abiotic factors in the environment.
ContributorsBhagat, Kartik (Author) / Perreault, Francois (Thesis advisor) / Westerhoff, Paul (Committee member) / Oswald, Jay (Committee member) / Arizona State University (Publisher)
Created2022
Description
N-nitrosodimethylamine (NDMA) is a probable human carcinogen and drinking water disinfection by-product. NDMA forms as the product of reactions between chloramines and precursor compounds in water. This dissertation aims to provide insight into the removal of NDMA precursors, their nature, and a method to aid in their identification. Watershed-derived precursors accounted for more of and greater variability to NDMA formation upon chloramination than polymer-derived precursors in environmental samples. Coagulation polymers are quaternary amines, which have low NDMA yield but high use rates. Watershed-derived precursors were removed up to 90% by sorption to activated carbon, but activated carbon exhibited much less (<10%) sorption of polymer-derived precursors. Combined with literature NDMA molar yields of model anthropogenic compounds, where anthropogenic chemicals in some cases have NDMA yields >90% and biological compounds always have yields <2%, trace, organic, amine containing, anthropogenic chemicals were implicated as the most likely source of NDMA precursors in the watershed. Although activated carbon removes these precursors well, identification of individual compounds may result in more cost effective mitigation strategies. Therefore, I developed a method to isolate NDMA precursors from other organic matter into methanol to facilitate their identification. Optimization of the method resulted in a median recovery of NDMA precursors of 82% from 10 surface waters and one wastewater. The method produces 1,000X concentrated NDMA precursors and, in collaboration with the University of Colorado Center for Environmental Mass Spectrometry, time of flight mass spectrometry (TOF-MS) was performed on multiple treated wastewater and raw drinking water isolates. During TOF-MS, tertiary amines can cleave to form a neutral loss and an R group ion that is dependent on the original structure and I wrote a software program to “trawl” exported TOF-MS spectra for the diagnostic neutral loss resulting from fragmentation of tertiary amines. Methadone was identified as one new NDMA precursor that occurs at concentrations that form physiologically relevant levels of NDMA in surface water and wastewater. The approach used here to identify NDMA precursors is adaptable to other unknown disinfection by-product precursors given that a functional group is known that can 1)control sorption and 2)produce a predictable diagnostic fragment.
ContributorsHanigan, David (Author) / Westerhoff, Paul (Thesis advisor) / Rittmann, Bruce (Committee member) / Herckes, Pierre (Committee member) / Arizona State University (Publisher)
Created2015