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Description
The diversity of industrially important chemicals that can be produced biocatalytically from renewable resources continues to expand with the aid of metabolic and pathway engineering. In addition to biofuels, these chemicals also include a number of monomers with utility in conventional and novel plastic materials production. Monomers used for polyamide

The diversity of industrially important chemicals that can be produced biocatalytically from renewable resources continues to expand with the aid of metabolic and pathway engineering. In addition to biofuels, these chemicals also include a number of monomers with utility in conventional and novel plastic materials production. Monomers used for polyamide production are no exception, as evidenced by the recent engineering of microbial biocatalysts to produce cadaverine, putrescine, and succinate. In this thesis the repertoire and depth of these renewable polyamide precursors is expanded upon through the engineering of a novel pathway that enables Escherichia coli to produce, as individual products, both δ-aminovaleric acid (AMV) and glutaric acid when grown in glucose mineral salt medium. δ-Aminovaleric acid is the monomeric subunit of nylon-5 homopolymer, whereas glutaric acid is a dicarboxylic acid used to produce copolymers such as nylon-5,5. These feats were achieved by increasing endogenous production of the required pathway precursor, L-lysine. E. coli was engineered for L-lysine over-production through the introduction and expression of metabolically deregulated pathway genes, namely aspartate kinase III and dihydrodipicolinate synthase, encoded by the feedback resistant mutants lysCfbr and dapAfbr, respectively. After deleting a natural L-lysine decarboxylase, up to 1.6 g/L L-lysine could be produced from glucose in shake flasks as a result. The natural L-lysine degradation pathway of numerous Pseudomonas sp., which passes from L-lysine through both δ-aminovaleric acid and glutaric acid, was then functionally reconstructed in a piecewise manner in the E. coli L-lysine over-producer. Expression of davBA alone resulted in the production of over 0.86 g/L AMV in 48 h. Expression of davBADT resulted in the production of over 0.82 g/L glutaric acid under the same conditions. These production titers were achieved with yields of 69.5 and 68.4 mmol/mol of AMV and glutarate, respectively. Future improvements to the ability to synthesize both products will likely come from the ability to eliminate cadaverine by-product formation through the deletion of cadA and ldcC, genes involved in E. coli's native lysine degradation pathway. Nevertheless, through metabolic and pathway engineering, it is now possible produce the polyamide monomers of δ-aminovaleric acid and glutaric acid from renewable resources.
ContributorsAdkins, Jake M (Author) / Nielsen, David R. (Thesis advisor) / Caplan, Michael (Committee member) / Torres, Cesar (Committee member) / Arizona State University (Publisher)
Created2012
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Description
The project aims at utilization of hydrothermal liquefaction (HTL) byproducts like biochar to grow microalgae. HTL is a promising method to convert wet algal biomasses into biofuels. The initial microalgae liquefaction at a temperature of 300 °C for 30 minute, converted 31.22 % of the Galdieria sulphuraria and 41.00 %

The project aims at utilization of hydrothermal liquefaction (HTL) byproducts like biochar to grow microalgae. HTL is a promising method to convert wet algal biomasses into biofuels. The initial microalgae liquefaction at a temperature of 300 °C for 30 minute, converted 31.22 % of the Galdieria sulphuraria and 41.00 % of the Kirchneriella cornutum into biocrude. Upon changing the reactor from a 100 ml to a 250 ml reactor, the yield in biocrude increased to 31.48 % for G. sulphuraria and dropped to 38.05 % for K. cornutum. Further, energy recoveries based on calorific values of HTL products were seen to drop by about 5 % of the 100 ml calculated values in the larger reactor.

Biochar from HTL of G. sulphuraria at 300 °C showed 15.98 and 5.27 % of phosphorous and nitrogen, respectively. HTL products from the biomass were analyzed for major elements through ICP-OES and CHNS/O. N and P are macronutrients that can be utilized in growing microalgae. This could reduce the operational demands in growing algae like, phosphorous mined to meet annual national demand for aviation fuel. Acidic leaching of these elements as phosphates and ammoniacal nitrogen was studied. Improved leaching of 49.49 % phosphorous and 95.71 % nitrogen was observed at 40 °C and pH 2.5 over a period of 7 days into the growth media. These conditions being ideal for growth of G. sulphuraria, leaching can be done in-situ to reduce overhead cost.

Growth potential of G. sulphuraria in leached media was compared to a standard cyanidium media produced from inorganic chemicals. Initial inhibition studies were done in the leached media at 40 °C and 2-3 vol. % CO2 to observe a positive growth rate of 0.273 g L-1 day-1. Further, growth was compared to standard media with similar composition in a 96 well plate 50 μL microplate assay for 5 days. The growth rates in both media were comparable. Additionally, growth was confirmed in a 240 times larger tubular reactor in a Tissue Culture Roller drum apparatus. A better growth was observed in the leached cyanidium media as compared to the standard variant.
ContributorsMathew, Melvin (Author) / Deng, Shuguang (Thesis advisor) / Lammers, Peter J. (Committee member) / Nielsen, David R (Committee member) / Arizona State University (Publisher)
Created2017
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Description
This study presents an evaluation of the predicted flow behavior and the minimum outlet diameter in a computationally simulated hopper. The flow pattern in hoppers was simulated to test three size fractions, three moisture levels of microcrystalline cellulose (MCC), and two hopper wall angles in Multiphase Flow with Interphase eXchanges

This study presents an evaluation of the predicted flow behavior and the minimum outlet diameter in a computationally simulated hopper. The flow pattern in hoppers was simulated to test three size fractions, three moisture levels of microcrystalline cellulose (MCC), and two hopper wall angles in Multiphase Flow with Interphase eXchanges (MFiX). Predictions from MFiX were then compared to current literature. As expected, the smaller size fractions with lower water content were closer to ideal funnel flow than their larger counterparts. The predicted minimum outlet diameter in simulations showed good agreement with close to ideal flowability. These findings illustrate the connection between lab flowability experiments and computational simulations. Lastly, three fluidized bed simulations were also created in MFiX with zeolite 13X to analyze the pressure and velocity within the bed. The application of flowability simulations can improve the transport of solids in processing equipment used during the production of powders.
ContributorsBuchanan, Lidija (Author) / Emady, Heather (Thesis advisor) / Muhich, Christopher (Committee member) / Deng, Shuguang (Committee member) / Arizona State University (Publisher)
Created2023
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Description
Adsorption is fundamentally known to be a non-isothermal process; in which temperature increase is largely significant, causing fairly appreciable impacts on the processkinetics. For porous adsorbent particles like metal organic frameworks (MOFs), silica gel, and zeolite, the resultant relative heat generated is partly distributed within the particle, and the rest is transferred

Adsorption is fundamentally known to be a non-isothermal process; in which temperature increase is largely significant, causing fairly appreciable impacts on the processkinetics. For porous adsorbent particles like metal organic frameworks (MOFs), silica gel, and zeolite, the resultant relative heat generated is partly distributed within the particle, and the rest is transferred to the surrounding ambient fluid (air). For large step changes in adsorbed phase concentration and fast adsorption rates, especially, the isothermality of adsorption (as in some studies) is an inadequate assumption and inspires rather erroneous diffusivities of porous adsorbents. Isothermal models, in consequence, are insufficient for studying adsorption in porous adsorbents. Non-isothermal models can satisfactorily and exhaustively describe adsorption in porous adsorbents. However, in many of the analyses done using the models, the thermal conductivity of the adsorbent is assumed to be infinite; thus, particle temperature is taken to be fairly uniform during the process—a trend not observed for carbon dioxide (CO2) adsorption on MOFs. A new and detailed analysis of CO2 adsorption in a single microporous MOF-5 particle, assuming a finite effective thermal conductivity along with comprehensive parametric studies for the models, is presented herein. A significant average temperature increase of 5K was calculated using the new model, compared to the 0.7K obtained using the Stremming model. A corresponding increase in diffusivity from 8.17 x 10-13 to 1.72 x 10-11 m2/s was observed, indicating the limitations of both isothermal models and models that assume constant diffusivity.
ContributorsNkuutu, John (Author) / Lin, Jerry (Thesis advisor) / Emady, Heather (Committee member) / Deng, Shuguang (Committee member) / Arizona State University (Publisher)
Created2023
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Description
The objective of this research is to create a python program that can describe the adsorption breakthrough performance of direct air capture of CO2 by zeolite and other adsorbents. The purpose of creating this open-source code is because many commercial simulation software for adsorption process simulation can be extremely expensive

The objective of this research is to create a python program that can describe the adsorption breakthrough performance of direct air capture of CO2 by zeolite and other adsorbents. The purpose of creating this open-source code is because many commercial simulation software for adsorption process simulation can be extremely expensive and typically are yearly subscriptions which can be a costly expenditure for academic research labs and chemical engineers working on adsorption processes development and design. The simulation models are generated by solving the governing mass and energy transfer equations and validating the models with experimental data. The typical inputs for the adsorption process simulation include adsorption equilibrium of both CO2 and N2 on selected adsorbents, mass transfer coefficients information, adsorbent bed length and void fraction, and other physical and chemical properties of the adsorbent being tested. The outputs of the simulation package are the dimensionless CO2 concentration profile as a function of dimensionless time, which is usually used for evaluating the adsorbent performance for CO2 capture. The models created were compared to the commercial package gPROMs and they performed extremely well. The main variation between the models created and gPROMs was that the models tended to underpredict the breakpoint of experimental data and gPROMs tended to overpredict. This M.S. research is part of the major research efforts for developing an open-source adsorption process simulation package for carbon capture and conversion in Prof. Deng’s group at ASU. The ultimate goal of this research program is to reduce carbon emissions and develop a sustainable solution for a future carbon-free economy.
ContributorsBonelli, Xavier Berlage (Author) / Deng, Shuguang (Thesis advisor) / Andino, Jean (Committee member) / Seo, Don (Committee member) / Arizona State University (Publisher)
Created2022
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Description
This thesis presents the development of idiographic models (i.e., single subject or N = 1) of walking behavior as a means of facilitating the design of control systems to optimize mobile health (mHealth) interventions for sedentary adults. Model-on-Demand (MoD), an adaptive modeling technique, is demonstrated as an ideal method for

This thesis presents the development of idiographic models (i.e., single subject or N = 1) of walking behavior as a means of facilitating the design of control systems to optimize mobile health (mHealth) interventions for sedentary adults. Model-on-Demand (MoD), an adaptive modeling technique, is demonstrated as an ideal method for modeling nonlinear systems with noise on a simulated continuously stirred tank reactor (CSTR). Comparing MoD to AutoRegressive with eXogenous input (ARX) estimation, MoD outperforms ARX in terms of addressing both nonlinearity and noise in the CSTR system. With the CSTR system as an initial proof of concept, MoD is then used to model individual walking behavior using intervention data from participants of HeartSteps, a walking intervention that studies the effect of within-day suggestions. Given the number of possible measured features from which to design the MoD models, as well as the number of model parameters that influence the model’s performance, optimizing MoD models through exhaustive search is infeasible. Consequently, a discrete implementation of simultaneous perturbation stochastic approximation (DSPSA) is shown to be an efficient algorithm to find optimal models of walking behavior. Combining MoD with DSPSA, models of walking behavior were developed using participant data from Just Walk, a day-to-day walking intervention; MoD outperformed ARX models on both estimation and validation data. DSPSA was also applied to ARX modeling, highlighting the use of DSPSA to not only search over model parameters and features but also data partitioning, as DSPSA was used to evaluate models under various combinations of estimation and validation data from a single participant’s walking data. Results of this thesis point to ARX with DSPSA as a routine means for dynamic model estimation in large-scale behavioral intervention settings.
ContributorsKha, Rachael T (Author) / Rivera, Daniel E (Thesis advisor) / Deng, Shuguang (Committee member) / Muhich, Christopher (Committee member) / Arizona State University (Publisher)
Created2022
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Description
With the demand growing for more sustainable forms of energy in replacement of fossil fuels, a major obstacle arises in the end-of life solar modules that are disposed of in landfills. Aside from the hazardous materials, silicon solar modules contain valuable and scarce materials such as silver. Silver is used

With the demand growing for more sustainable forms of energy in replacement of fossil fuels, a major obstacle arises in the end-of life solar modules that are disposed of in landfills. Aside from the hazardous materials, silicon solar modules contain valuable and scarce materials such as silver. Silver is used in many industries and many applications therefore the recycling and recovering of it is financially beneficial. The purpose of this research was to achieve high purity and recovery of silver using hydrofluoric acid. The following work presents the feasibility of silver recovery through the process of leaching and electrowinning by examining the percent recovery and cathodic coulombic efficiency, followed by a chemical analysis to determine the purity. Varying conditions in leaching and electrowinning parameters are conducted in a synthetic solution to determine the effect on silver recovery and cathodic coulombic efficiency. It was determined that the silver recovery was dependent on the applied potential, system configuration and time. The system is capable of recovery rates of over 95% at -1 V. The system is further tested on solar cells to prove that silver can be recovered. There was over 99% purity from the experiments conducted in synthetic solution and from solar cells. Additionally, a circular chemistry is proposed that allows the reuse of hydrofluoric acid for leaching and electrowinning.
ContributorsChen, Theresa (Author) / Tao, Meng (Thesis advisor) / Deng, Shuguang (Committee member) / Goryll, Michael (Committee member) / Arizona State University (Publisher)
Created2024
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Description
This dissertation describes the synthesis and study of porous nanocarbon and further treatment by introducing nitrogen and oxygen groups on nanocarbon, which can be used as electrodes for energy storage (supercapacitor). Electron microscopy is used to make nanoscale characterization. ZnO nanowires are used as the template of the porous nanocarbon,

This dissertation describes the synthesis and study of porous nanocarbon and further treatment by introducing nitrogen and oxygen groups on nanocarbon, which can be used as electrodes for energy storage (supercapacitor). Electron microscopy is used to make nanoscale characterization. ZnO nanowires are used as the template of the porous nanocarbon, and nitrogen doping and oxidation treatment can help further increase the capacitive performance of the nanocarbon.

The first part of this thesis focuses on the synthesis of ZnO nanowires. Uniform ZnO nanowires with ~30 nm in width are produced at 1100℃ in a tube furnace with flowing gases (N2: 500 sccm; O2: 15 sccm). The temperature control is one of the most important parameters for making thin and ultra-long ZnO nanowires.

The second part of the thesis is about the synthesis of nanocarbons. Ultrapure ethanol is used as the carbon source to make carbonaceous deposition on ZnO nanowires. The thickness of the nanocarbons can be controlled by reaction temperature and reaction time. When the reaction time was controlled around 1h, the carbonaceous materials coating the ZnO nanowires become very thin. Then by flowing (1000 sccm) hydrogen at 750℃ through the reaction tube the ZnO nanowires are removed due to reduction and evaporation. Electrochemical evaluation of the produced nanocarbons shows that the nanocarbons possess very high specific surface area (>1400 m2/g) and a capacitance as high as 180 F/g at 10A/g in 6M KOH).

The third part of the thesis is the treatment of the as-synthesized nanocarbons to further increase capacitance. NH3 was used as the nitrogen source to react with nanocarbons at 700℃ to incorporate nitrogen group. Nitric acid (HNO3) is used as the oxidant to introduce oxygen groups. After proper nitrogen doping, the nitrogen doped nanocarbons can show high specific capacitance of 260 F/g at 1A/g in 6M KOH. After further oxidation treatment, the capacitance of the oxidized N-doped nanocarbons increased to 320 F/g at 1A/g in 6M KOH.
ContributorsZhang, Yizhi (Author) / Liu, Jingyue (Thesis advisor) / Wang, Qinghua (Committee member) / Deng, Shuguang (Committee member) / Arizona State University (Publisher)
Created2020
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Description
This thesis investigated the effects of differing diameters and varying moisture content on the flowability properties of granular glass beads through use of a Freeman FT4 Powder Rheometer. These parameters were tested in order to construct an empirical model to predict flowability properties of glass beads at differing size ranges

This thesis investigated the effects of differing diameters and varying moisture content on the flowability properties of granular glass beads through use of a Freeman FT4 Powder Rheometer. These parameters were tested in order to construct an empirical model to predict flowability properties of glass beads at differing size ranges and moisture contents. The final empirical model outputted an average error of 8.73% across all tested diameters and moisture ranges.

Mohr's circles were constructed from experimentally-obtained shear stress values to quantitatively describe flowability of tested materials in terms of a flow function parameter. A high flow function value (>10) was indicative of a good flow.

By testing 120-180 µm, 120-350 µm, 180-250 µm, 250-350 µm, 430-600 µm, and 600-850 µm glass bead diameter ranges, an increase in size was seen to result in higher flow function values. The limitations of testing using the FT4 became apparent as inconsistent flow function values were obtained at 0% moisture with size ranges above 120-180 µm, or at flow function values of >21. Bead sizes larger than 430 µm showed significant standard deviation over all tested trials--when excluding size ranges above that value, the empirical model showed an average error of only 6.45%.

Wet material testing occurred at all tested glass bead size ranges using a deionized water content of 0%, 1%, 5%, 15%, and 20% by weight. The results of such testing showed a decrease in the resulting flow function parameter as more water content was added. However, this trend changed as 20% moisture content was achieved; the wet material became supersaturated, and an increase in flow function values was observed. The empirical model constructed, therefore, neglected the 20% moisture content regime.
ContributorsKleppe, Cameron (Author) / Emady, Heather (Thesis advisor) / Marvi, Hamidreza (Committee member) / Deng, Shuguang (Committee member) / Arizona State University (Publisher)
Created2019
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Description
The objective of this research was to develop Aluminophosphate-five (AlPO4-5, AFI) zeolite adsorbents for efficient oxygen removal from a process stream to support an on-going Department of Energy (DOE) project on solar energy storage. A molecular simulation study predicted that substituted AlPO4-5 zeolite can adsorb O2 through a weak chemical

The objective of this research was to develop Aluminophosphate-five (AlPO4-5, AFI) zeolite adsorbents for efficient oxygen removal from a process stream to support an on-going Department of Energy (DOE) project on solar energy storage. A molecular simulation study predicted that substituted AlPO4-5 zeolite can adsorb O2 through a weak chemical bond at ambient temperature. Substituted AlPO4-5 zeolite was successfully synthesized via hydrothermal crystallization by following carefully designed procedures to tailor the zeolite for efficient O2 adsorption. Synthesized AlPO4-5 in this work included Sn/AlPO-5, Mo/AlPO-5, Pd/AlPO-5, Si/AlPO-5, Mn/AlPO-5, Ce/AlPO-5, Fe/AlPO-5, CuCe/AlPO-5, and MnSnSi/AlPO-5. While not all zeolite samples synthesized were fully characterized, selected zeolite samples were characterized by powder x-ray diffraction (XRD) for crystal structure confirmation and phase identification, and nitrogen adsorption for their pore textural properties. The Brunauer-Emmett-Teller (BET) specific surface area and pore size distribution were between 172 m2 /g - 306 m2 /g and 6Å - 9Å, respectively, for most of the zeolites synthesized. Samples of great interest to this project such as Sn/AlPO-5, Mo/AlPO-5 and MnSnSi/AlPO-5 were also characterized using x-ray photoelectron spectroscopy (XPS) and energy-dispersive x-ray spectroscopy (EDS) for elemental analysis, scanning electron microscopy (SEM) for morphology and particle size estimation, and electron paramagnetic resonance (EPR) for nature of adsorbed oxygen. Oxygen and nitrogen adsorption experiments were carried out in a 3-Flex adsorption apparatus (Micrometrics) at various temperatures (primarily at 25℃) to determine the adsorption properties of these zeolite samples as potential adsorbents for oxygen/nitrogen separation. Experiments showed that some of the zeolite samples adsorb little-to-no oxygen and nitrogen at 25℃, while other zeolites such as Sn/AlPO-5, Mo/AlPO-5, and MnSnSi/AlPO-5 adsorb decent but inconsistent amounts of oxygen with the highest observed values of about 0.47 mmol/ g, 0.56 mmol/g, and 0.84 mmol/ g respectively. The inconsistency in adsorption is currently attributed to non-uniform doping of the zeolites, and these findings validate that some substituted AlPO4-5 zeolites are promising adsorbents. However, more investigations are needed to verify the causes of this inconsistency to develop a successful AlPO4-5 zeolite-based adsorbent for oxygen/nitrogen separation.
ContributorsBuyinza, Allan Smith (Author) / Deng, Shuguang (Thesis advisor) / Varman, Arul M (Committee member) / Jin, Kailong (Committee member) / Arizona State University (Publisher)
Created2021