Chemical Engineering Commons^™

Optimized Electrocoagulation Pre-Treatment For Fouling Reduction During Nanofiltration Of Lake Water Containing Microcystin-Lr, Thomas Mckean, Chidambaram Tharmaraiselvan, Sarah Do, S. Ranil Wickramasinghe

Chemical Engineering Faculty Publications and Presentations

Microcystin-LR (MCLR) is a toxin produced by harmful algal blooms that is emerging as a threat to drinking and recreational water systems worldwide. Nanofiltration (NF) is an effective technique for purifying contaminated water sources; however, membrane fouling caused by coexisting organic matter limits the practicality of the process. This research studies the use of an electrocoagulation (EC) pretreatment to limit fouling during the NF process. Water for this study was taken from Lake Fayetteville, a local body of water where MCLR concentrations have been recorded to be >15 µg/L. EC was performed using polyaluminum chloride as a background electrolyte at …

Development And Validation Of A Computational Fluid Dynamics Model Using Wind Tunnel Experiments, Savanah G. Godwin

Chemical Engineering Undergraduate Honors Theses

A gas release computational fluid dynamics model was developed and validated using a previous wind tunnel experiment conducted by Daniel Williams. This simulation was modeled using CHEM software, and based on experimental conditions used in the University of Arkansas’ Chemical Hazard Research Center’s wind tunnel. These include ultra-low wind speeds, working in the atmospheric boundary layer, and using finite release durations with a neutrally buoyant gas. The simulation was developed in two phases: inflow and release. The inflow phase consisted of the development of the atmospheric boundary layer. The data from the simulation aligned well with the wind tunnel data. …

Modelling Virus Filtration And Virus Reduction By An Advanced Multilayer Model: Retention Distribution And The Effect Of Product Aggregates, Hironobu Shirataki, Remo Leisi, Junji Hdaka, S. Rancil Wickramasinghe

Chemical Engineering Faculty Publications and Presentations

Robust virus reduction and high permeability are characteristic properties of virus filters, which are modeled as having an asymmetric multilayer membrane structure with a pore size distribution. In this study, an advanced heterogeneous multilayer model for the multicomponent solution containing viruses, protein monomers and aggregates, has been developed to reproduce the filtration behavior, virus reduction, and virus/protein retention distribution in the virus filter with asymmetric membrane structure. Calculations based on the multilayer membrane structure with consideration of the effect of aggregate size and concentration numerically reproduce the experimental results that virus LRV (log reduction value) decreases when a large number …

Multifunctional Pvdf Ionogels With Magnetic Nanoparticles For Electroactive And Magnetic Actuation, Alfredo Carrillo Valverde

Chemical Engineering Undergraduate Honors Theses

The fast development of compact and multifunctional electronics has driven interest in smart materials capable of responding to multiple stimuli. Ionogels, polymers that have been swollen with ionic liquids (IL), offer several favorable electrochemical and thermal properties due to their intrinsic ion conductivity, wide electrochemical window, non-flammability, and high thermal stability. However, their poor mechanical properties (e.g., modulus and strength) limit their use in applications. In this work, multifunctional PVDF ionogel composites were made by blending magnetically responsive iron oxide nanoparticles (Fe₃O₄ MNPs) into the polymer matrix. The influence of MNP concentration (9-21 wt%) on composition, ionic …

Using Gaussian Process Regression To Learn Thermodynamic Equations Of State With Uncertainty Quantification, Austen T. Lee

Chemical Engineering Undergraduate Honors Theses

This study investigates the use of derivative-informed Gaussian Process (GP) models to estimate thermodynamic behavior across temperature and density by building a Helmholtz-based equation of state. Argon, a stable monatomic gas, was chosen as a case study within the vapor region. The GP model was trained using values of experimentally measurable properties found by taking first and second derivatives of the original potential function. Results show that while the GP model offered uncertainty quantification and informed thermodynamic behavior, it predicted values that deviated from the ground truth depending on the property. The model exhibited high confidence in regions with substantial …

Personalized Model Of Cardiac Fibroblast Signaling Using Patient-Specific Data, Elizabeth A. Schuler

Chemical Engineering Undergraduate Honors Theses

Heart disease is the leading cause of death worldwide for both men and women, and cardiac fibroblasts are critical to heart form and function. Essential roles of cardiac fibroblasts include cell-cell communication, cell-cell signaling, and synthesizing and degrading the extracellular matrix (ECM), which controls structural support and tissue repair of the heart. Abnormal fibroblast signaling can lead to negative impacts, including fibrosis, impaired heart function, and inflammation. A computational model of cardiac fibroblast signaling on Netflux and MATLAB software was adapted and utilized to determine the effect of patient-specific levels of cytokines, hormones, growth factors, peptides, and membrane tension on …

Modeling Cell Buildup And Release In An Ultrafiltration Cartridge, Holiday B. Derosier

Chemical Engineering Undergraduate Honors Theses

While membrane filtration has improved greatly and has been incorporated into many modern practices, there isn’t much data on material exchange in and out of the lumen and how that effects the overall efficiency of the process. This data may help to accurately measure the reliability and efficiency of a filtration membrane system, which can lead to improvements in filtration sustainability, process lifespan, and product quality.

This project aims to model the material balance within a perfusion bioreactor ultrafiltration system in MATLAB, with a focus on bioreactors and cell buildup and release from the lumen. The results of this study …

Commercial Applications Of Modular Ion Exchange Membrane Systems For Ion Removal From Drinking Water, Courtney J. Wilmoth

Chemical Engineering Undergraduate Honors Theses

Iron and other heavy metals are harmful contaminants that can be found in many sources of fresh water, especially well water. Currently, around 43 million Americans use well water as their primary source of potable drinking water [1]. As the commercial desire for portable water treatment systems increases, the scientific advancements for these systems must also increase. Microfiltration membranes allow for portable filtration due to their low-pressure requirements but typically cannot remove metal ions via size exclusion. This work examines the incorporation of ion exchange membranes in series to portable filtration devices to increase the capture of ions without sacrificing …

Feasibility Of Liquid Carbon Sources For Algae Growth, Brady S. Jones

Chemical Engineering Undergraduate Honors Theses

This thesis explores the use of electrochemically produced aqueous bicarbonate as a novel liquid-phase carbon source for enhancing algal biomass productivity. Targeting the freshwater microalgae Chlorella Saccharophila, the study investigates its growth response to varying bicarbonate concentrations and compares the efficacy of liquid bicarbonate delivery with traditional gaseous CO₂ bubbling methods. Results demonstrate that Chlorella Saccharophila can sustain growth solely on bicarbonate, and that bicarbonate-fed cultures yielded higher biomass than those supplied with gaseous CO₂ or hybrid systems. These findings validate the potential of bicarbonate-based carbon delivery for scalable algae cultivation, offering key advantages such as gas-free operation, improved …

The Augmentation Of A Solar Panel Lab For The Chemical Engineering Curriculum To Introduce Sustainability Principles, Lane A. Wilkins

Chemical Engineering Undergraduate Honors Theses

Photovoltaic solar cells are utilized in solar panels to convert sunlight into usable electricity. Since the energy derived from solar panels produces far less greenhouse gas than typical fuels such as coal and natural gas do, it is considered a clean source of energy and is vital to sustainability efforts. Sustainability is often defined by three pillars: environmental, social, and economical. Solar energy incorporates each of these pillars into its process, allowing it to be an effective tool to teach sustainability to students. A previously written lab that employs solar panels focused on the efficiency of converting light into electricity. …

Evaluating Fly-Ash As A Sustainable Solution For Contaminant Removal From Wastewater, Calyn Wisdom

Chemical Engineering Undergraduate Honors Theses

Access to clean and safe water is an escalating global concern due to the persistent presence of toxic contaminants in aquatic environments. Among these, synthetic dyes and per- and polyfluoroalkyl substances (PFAS) represent two distinct yet significant classes of pollutants, both posing serious environmental and public health risks. Dyes in water contribute to intense coloration, elevated chemical and biological oxygen demand (COD and BOD), reduced light penetration, and disruption of aquatic ecosystems, with potential health risks to humans upon exposure. PFAS, often termed "forever chemicals," are synthetic organofluorine compounds associated with a range of adverse health effects, including endocrine disruption, …

Engaging Future Engineers: Utilizing Ai-Generated Video To Promote The Chemical Engineering Profession, Madeline G. Mondebello

Chemical Engineering Undergraduate Honors Theses

The expected incline of the chemical engineering profession faces a growing need to attract the next generation of prospective students. This research explores the use of artificial intelligence (AI) software to create an innovative form of media fit for secondary school and early college outreach. The pre- and post-video questionnaires were taken by a voluntary population comprised of high school students, college students, and parents. Overall, the feedback received was generally positive but indicated that the AI avatars and the lip-sync discrepancies may disrupt the video more than enhance it. In the future, a larger population will be surveyed to …

Measuring Selectivity Of Ion Exchange Resin For Use In Activated Wafer Electrodeionization, Hope M. Coffman

Chemical Engineering Undergraduate Honors Theses

Ion exchange resins are a type of ion exchange material used throughout industry. Their insolubility allows for the exchange of ions and an easy separation of the resin itself. They are used alone in industry, but they are also found in processes such as electrodialysis and electrodeionization. This research investigates the selectivity of chloride form ion exchange resin in the presence of solutions of lactate and formate ions. The work of this thesis is a part of a larger study investigating the conversion and separation of glucose into lactic acid via coupled electrocatalysis and electrodialysis. The results of this study …

Computationally Guided Liquid Crystal-Based Competitive Binding Sensing Platform For Optical Detection Of Spike Protein, Homa Ghaiedi, Shubham Pandey, Sophia Ezendu, Tibor Szilvasi, Karthik Nayani

Chemical Engineering Faculty Publications and Presentations

A liquid crystal (LC)-based sensing platform for the rapid optical detection of SARS-CoV-2 ' s spike protein's receptor binding domain (RBD) domain is introduced. This platform utilizes a thermotropic LC, hosted on metal-cation decorated substrates, onto which the spike protein can competitively bind. Density functional theory (DFT) calculations guide the experiments that reveal a homeotropic-to-planar transition in the LCs upon exposure to SARS-CoV-2 spike-decorated yeast, providing a basis for sensitive virus detection. The sensor's reversibility/specificity is confirmed through antibody-induced orientation recovery of the LCs initial orientation. Strikingly, the sensor can detect approximate to 2000 copies of the spike protein per …

Reweighting Configurations Generated By Transferable, Machine Learned Models For Protein Sidechain Backmapping, Jacob Monroe

Chemical Engineering Faculty Publications and Presentations

Multiscale modeling requires the linking of models at different levels of detail, with the goal of gaining accelerations from lower fidelity models while recovering fine details from higher resolution models. Communication across resolutions is particularly important in modeling soft matter, where tight couplings exist between molecular-level details and mesoscale structures. While multiscale modeling of biomolecules has become a critical component in exploring their structure and self-assembly, backmapping from coarse-grained to fine-grained, or atomistic, representations presents a challenge, despite recent advances through machine learning. A major hurdle, especially for strategies utilizing machine learning, is that backmappings can only approximately recover the …

Membrane Filtration Of Nanoscale Biomaterials: Model System And Membrane Performance Evaluation For Aav2 Viral Vector Clarification And Recovery, Mara Leach, Kearstin Edmonds, Emily Ingram, Rebecca Dutch, Sumith R. Wickramasinghe, Malgorzata Chwatko, Dibakar Bhattacharyya

Chemical Engineering Faculty Publications and Presentations

The growing demand for viral vectors as nanoscale therapeutic agents in gene therapy necessitates efficient and scalable purification methods. This study examined the role of nanoscale biomaterials in optimizing viral vector clarification through a model system mimicking real AAV2 crude harvest material. Using lysed HEK293 cells and silica nanoparticles (20 nm) as surrogates for AAV2 crude harvest, we evaluated primary (depth filters) and secondary (membrane-based) filtration processes under different process parameters and solution conditions. These filtration systems were then assessed for their ability to recover nanoscale viral vectors while reducing DNA (without the need for endonuclease treatment), protein, and turbidity. …

Modeling Virus Filtration: Materials, Applications, And Mechanism, Hironobu Shiritaki, Linda Gudex, Sumith R. Wickramasinghe

Chemical Engineering Faculty Publications and Presentations

While various methods are employed to ensure the virus safety of finished products, virus filtration (VF) stands out as the preferred method for virus removal and purification of a wide variety of products owing to its capability of separating product molecules with more than 90% recovery and no change in molecule characteristics. The modeling of the virus removal process for VF membranes is based on the principles of microfiltration (MF) and ultrafiltration (UF), but with modifications for the much narrower separation difference, which is less than 2-fold for the separation of product molecules and virus particles. In this review, we …

Cold-Plasma-Driven Ammonia Synthesis Over Porous Silica: The Role Of The Morphology, Fnu Gorky, Vashantu Storr, Jacek B. Jasinski, Maria L. Carreon

Chemical Engineering Faculty Publications and Presentations

Nonthermal plasma (NTP) has opened unexplored routes for small-scale, decentralized ammonia production. However, understanding the ammonia formation pathways when employing NTP-driven processes is challenging due to the complex nature of the process. In this work, we report the effects of the morphology and textural properties on ammonia production. Herein, we explore mesoporous and macroporous regimes in silica. Performance of mesoporous silica with a gyroid morphology displays the highest ammonia production rate of 160.7 mu mol/ming-cat at a plasma power of 15 W. The findings from this work provide insights into tailoring porous structures and morphology for ammonia production powered by …

Wind Tunnel Investigation Of The Along-Wind Dispersion In Finite-Duration Neutrally Buoyant Gas Releases, Daniel Williams

Graduate Theses and Dissertations

This thesis investigates the along-wind dispersion of hazardous gas releases within a turbulent boundary layer using controlled experiments in an ultra-low-speed wind tunnel, recognizing the limitations of numerical modeling and field tests. This study utilizes a neutrally buoyant gas mixture and dual Flame Ionization Detectors (FIDs) to capture representative, repeatable data on gas cloud behavior over finite durations. Ensemble averaging of 65 trials across varying release durations and downwind distances provided detailed insights into gas dispersion and the distinct time phases within finite-duration releases. Analysis revealed that along-wind dispersion coefficients depend on turbulence and vertical wind shear, with normalized coefficients …

Integrating Sustainability And Food Safety Through Quantitative Microbial Risk Assessment And Life Cycle Assessment Of Low-Moisture Foods, Jessica Bain

Graduate Theses and Dissertations

Food safety and sustainability are critical concerns in the food industry. However, these areas are often evaluated separately, leading to an incomplete understanding of the overall impact of food production on human health. This dissertation aims to integrate food safety with sustainability to provide a comprehensive assessment of the impact of low-moisture foods on human health, using the almond processing supply chain as a case study.

In addition to conducting life cycle assessments (LCA) of almond processing, wheat flour production, and dried apple processing, this dissertation aims to create a framework to bridge the gap between sustainability and food safety. …

Liquid Crystalline Collagen Assemblies As Substrates For Directed Alignment Of Human Schwann Cells, Homa Ghaiedi, Luis Carlos Pinzon-Herrera, Saja Alshafeay, Leonard Harris, Jorge Almodovar, Karthik Nayani

Chemical Engineering Faculty Publications and Presentations

Collagen is a key component of the extracellular matrix (ECM) and well-oriented domains of collagen are important for mimicking the local cell environment in vitro. While there has been significant attention directed towards the alignment of collagen, formation of large-scale oriented domains remains a key challenge. Type I collagen self-assembles to form liquid crystalline (LC) mesophases in acidic conditions at concentrations above 100 mg mL−1. The LC mesophase provides an efficient platform for large-scale alignment and patterning of collagen coated substrates. However, there still exist challenges related to solubilizing and processing of collagen at such high concentrations in order …

Hydrogen-Peroxide Intercalated Expanded Graphite Facilitates Large Enhancement In Thermal Conductivity Of Polyetherimide/Graphite Nanocomposites, Fatema Tarranum, Swapneel Danayat, Avinash Nayal, Zarin Tasmin Mona, Roshan Sameer Annam, Keisha Walters, Jivtesh Garg

Chemical Engineering Faculty Publications and Presentations

In this work, we prepared expanded graphite (EG) filler using hydrogen peroxide (H₂O₂) as an oxidizing agent to study its impact on the thermal conductivity (k) of polyetherimide (PEI) composite, compared to EG prepared using sodium chlorate (NaClO₃). Sulfuric acid was used as the primary intercalating agent for both synthesis routes. The use of H₂O₂ prepared EG (EG-H₂O₂) led to a remarkable ∼4030% enhancement (9.5 Wm⁻¹K⁻¹) in k of the PEI/EG composite, while the use of NaClO₃ prepared EG (EG-NaClO …

Investigating The Detection And Transport Of Low Molecular Weight Species To Better Understand Their Impact On Disease Pathology And Treatment, Haley Michelle Duncan

Graduate Theses and Dissertations

Due to the drastic differences in the projects involved, this dissertation will be split into two sections: Alzheimer’s disease and chronic kidney disease. Each chapter will contain an introduction, materials and methods section, results and discussion, conclusions, and works cited section. The Alzheimer’s disease chapter will also have a supplemental figures section containing the polyacrylamide gels that were silver stained and quantified via ImageJ. The presence of elevated levels of amyloid beta oligomeric species in the brain has been related to the pathology of Alzheimer’s disease. As these oligomeric species are transient in nature, their kinetics pose a challenge to …

Carbon-Based Nanocomposite Membranes For Membrane Distillation: Progress, Problems And Future Prospects, Chhabilal Regmi, Yuwaraj K. Kshetri, S. Ranil Wickramasinghe

Chemical Engineering Faculty Publications and Presentations

The development of an ideal membrane for membrane distillation (MD) is of the utmost importance. Enhancing the efficiency of MD by adding nanoparticles to or onto a membrane’s surface has drawn considerable attention from the scientific community. It is crucial to thoroughly examine state-of-the-art nanomaterials-enabled MD membranes with desirable properties, as they greatly enhance the efficiency and reliability of the MD process. This, in turn, opens up opportunities for achieving a sustainable water–energy–environment nexus. By introducing carbon-based nanomaterials into the membrane’s structure, the membrane gains excellent separation abilities, resistance to various feed waters, and a longer lifespan. Additionally, the use …

Impact Of Non-Thermal Plasma Generated Using Air And Nitrogen On Functional Properties Of Milk Protein Dispersions, Nikitha Modupalli, Md Mahfuzur Rahman

Food Science Faculty Publications and Presentations

This study focuses on improving the functionalities of milk protein concentrate (MPC) using a nonthermal plasma jet and plasma-activated water (PAW) with atmospheric air and nitrogen as source gases. The 5% and 10% MPC dispersions were directly treated with a plasma jet, and PAW was used to make the MPC dispersions. The dispersions were analyzed for changes in protein structure and functional properties. The treatment altered the secondary structure of MPC protein structure by increasing β-components and changing the order of random coils. The solubility of the PAW-treated 5% protein dispersions doubled due to plasma-induced modification of hydrophilic and covalent …

Computational Predictions Of Heart Failure Drug Effects On Cardiac Fibrosis, Aaron Gardner

Chemical Engineering Undergraduate Honors Theses

The extracellular matrix is a complex system surrounding cells that is crucial to all of the cardiovascular system’s functions. Fibrosis is an excessive accumulation (scarring) of the extracellular matrix. Fibrosis is typically a negative event, and the scarring must be reduced in the heart in order to maintain its functionality. Due to this, simulations are run using the software “Netflux” in order to determine the effects of different heart failure drugs on cardiac fibrosis. The drugs that were simulated were an ACE Inhibitor, BAR Beta Blocker, ARB Blocker, and Entresto. These drugs were simulated over 50 hours at three different …

Optimization Of Collagen And Cell Concentrations For Engineered Tissues, Avery Fiser

Chemical Engineering Undergraduate Honors Theses

Improvements regarding the drug discovery process are necessary due to less than 1% of drugs making it from the initial discovery phase to patient treatment in clinics. One method of enhancing this process involves improving the relevance and dependability of in vitro testbeds utilized during pre-clinical testing. Improvement along these factors can provide a more relevant view for eventual drug behavior in patients. This additional relevance can allow for a reduced timeline in drug development for improving patient care. A consistent and morphologically sound baseline engineered tissue is vital to the creation of successful experimental models. Parameters such as cell …

Integrating Galectin-3 Into A Computational Model Of Cardiac Fibrosis Progression, Adam Pieratt

Chemical Engineering Undergraduate Honors Theses

Cardiac fibrosis, a large contributor to heart failure, is the excessive accumulation of extracellular matrix in response to stress or injury. There are no approved treatments for cardiac fibrosis, and targeting specific species involved creates complex problems for drug development, so a computational model of the cardiac fibroblast signaling network can be used to observe the interactions involved in the progression of cardiac fibrosis. In this paper, a new protein called galectin-3 is integrated into this existing model, and connections are established to expand the coverage of the network. The additions are described, simulated using Netflux biological system simulation software, …

Biomass Derived Lignin Polymer Modification For Sustainable Chemical Engineering Applications, Samantha Glidewell, Keisha Walters

Chemical Engineering Undergraduate Honors Theses

Lignin is an abundant naturally occurring plant-based polymer that is branched, highly unsaturated, and rich in aliphatic and aromatic hydroxyl groups. Lignin is a significant byproduct of the wood pulp and paper industries; however, it has yet to be widely utilized in commercial applications due to its non-linear structure, broad range of molecular weights, hydrophobicity, high rigidity, and brittleness. Recent investigations into modifying lignin to broaden its potential uses have shown promising results. This thesis explores different modification techniques of the naturally occurring hardwood lignin polymer for specific applications in areas of water treatment and polyurethane (PU) production. The first …

Modeling Sex-Specific Changes In Myocardial Fibrosis, Grace Martin

Chemical Engineering Undergraduate Honors Theses

Heart disease the leading cause of death for both men and women in the United States. Cardiac fibrosis, or accumulation of extracellular matrix proteins in the heart, can occur after a heart attack and increase the risk for further complications. Current treatments for heart disease do not include extracellular matrix regulators, partly due to the complicated signaling network responsible for the production of these proteins. By using a computational model of the signaling network in cardia fibroblasts, the relationship between particular molecules and downstream extracellular matrix production can be examined.

Biological sex is an important factor for cardiac health and …