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Managed Aquifer Recharge is an increasingly prevalent solution to sustain water availability in arid regions. Recharge of groundwater resources using treated wastewater effluent is one type of managed aquifer recharge that offers long-term sustainable water management. However, there are some concerns regarding the reuse of wastewater and its potential to

Managed Aquifer Recharge is an increasingly prevalent solution to sustain water availability in arid regions. Recharge of groundwater resources using treated wastewater effluent is one type of managed aquifer recharge that offers long-term sustainable water management. However, there are some concerns regarding the reuse of wastewater and its potential to increase exposures to antibiotic resistant bacteria and antibiotic resistance genes that could affect human health. Antibiotic resistance genes can confer the ability for bacteria to resist antibacterial treatment, rendering their presence in water supplies as an area of research needed to evaluate where environmental “hot spots” of potential antibiotic resistance disseminate. To evaluate the occurrence of antibiotic resistant bacteria and antibiotic resistance genes, sampling of an Arizona managed aquifer recharge facility was performed, with target antibiotic resistance genes measured using quantitative polymerase chain reaction. The occurrence of antibiotic resistance genes was evaluated at several sampling wells and in sediments to examine trade-offs between water quantity benefits and water quality issues. The goal of this work is to inform management operations for secure water quality in the face of climate change.

ContributorsDieter, Lucien Andres (Author) / Hamilton, Kerry A. (Thesis director) / Shrestha, Milan (Committee member) / Environmental and Resource Management (Contributor, Contributor) / School of Music, Dance and Theatre (Contributor) / School of Sustainability (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
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Description
Microbial Potentiometric Sensors (MPS) utilize endemic biofilms to generate a signal using a measurable potentiometric difference, without the use of cleaning, maintenance, and reagents of conventional sensor monitoring methods. These advantages are suitable for monitoring bioreactions in water distribution systems, soils, and wastewater treatment. In controlled fermentation processes, monitoring seeks

Microbial Potentiometric Sensors (MPS) utilize endemic biofilms to generate a signal using a measurable potentiometric difference, without the use of cleaning, maintenance, and reagents of conventional sensor monitoring methods. These advantages are suitable for monitoring bioreactions in water distribution systems, soils, and wastewater treatment. In controlled fermentation processes, monitoring seeks to avoid contamination and degradation, which results in loss of productivity. MPS have yet to be applied to monitor the fermentation of milk to yogurt. This study examined the feasibility of using MPS technology to monitor the progress of milk fermentation in real-time with a bench-scale model bioreactor. Signal data obtained by the MPS was analyzed and assessed for the ability to model and predict the time of complete fermentation. Analysis of complete fermentation times in conjunction with pH and MPS signal values found characteristics indicative of complete fermentation. The method detection limit was assessed to inform of the method’s capacity to distinguish complete fermentation time. A sensitivity analysis was conducted to develop a more robust method for predicting complete fermentation time. At this proof-of-concept scale, MPS successfully performed in this capacity to monitor bioreaction conditions continuously. MPS captured information as fermentation progressed, was completed, and as the yogurt product naturally began to decay. Analysis of the data obtained with the technology found predictions of complete fermentation time within a two hour range, with further assessment in the sensitivity analysis narrowing this timeframe to less than 45 minutes. This study revealed the challenges in precisely predicting complete fermentation;however, advancement of a robust analytical method and demonstration of technical feasibility promotes further MPS technology applications that seek to monitor conditions in real-time to preserve health and production.
ContributorsDieter, Lucien Andres (Author) / Hristovski, Kirl D. (Thesis advisor) / Olson, Larry W. (Committee member) / Ünver, Olcay (Committee member) / Arizona State University (Publisher)
Created2021