Biological Engineering Commons^™

Analyzing Microalgae-Bacteria Population Changes In Response To Environmental Parameters For Improved Wastewater Treatment, Amanda M. Moravek

All Graduate Theses and Dissertations, Fall 2023 to Present

Microalgae are incredible organisms that have a variety of uses such as wastewater treatment, fertilizer, livestock feed, and bio-compound production. Microalgae require a light source and minimal nutrients space to proliferate, making them an environmentally friendly and sustainable option for such processes. The Sustainable Wastes-to-Bioproducts Engineering Center at Utah State University is developing and implementing a Rotating Algae Biofilm Reactor (RABR) to remove total nitrogen and phosphorous from the Central Valley Wastewater Reclamation Facility wastewater effluent. Harmful compounds such as nitrates and phosphates are metabolized by the microalgae and converted into useful bioproducts, resulting in a circular economy. These RABRs …

Uv-A Light And Heat-Activated Antimicrobial And Biodegradable Materials For Food Packaging And Preservation, Michael J. Bodily

All Graduate Theses and Dissertations, Fall 2023 to Present

Current food packaging materials are often non-biodegradable and harmful for ingestion, which poses a threat to the environment and public health. Thus far, the dangers of microbial contamination of food on human health have outweighed the risks associated with using these conventional packaging plastics. A possible solution to these issues is to use a combination of innovative materials and microbial inactivation methods that can potentially both reduce plastic waste and combat harmful microorganisms. In this study, two antimicrobial, biodegradable composites were developed and tested for their ability to inactivate two types of bacterium, Escherichia coli K12 and Listeria innocua, …

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 …

Design Of A Teleoperabletendon-Driven Robotic Hand, Zachary Giese, Joseph Gober, Samuel Grisham, Avery Mahan, Aspen White, Brayden May, Aspen White

ATU Scholars Symposium

This work presents the design, implementation, and validation of a 3D-printed tendon-driven robotic hand with a bi-directional wireless control system. The robotic hand emulates human anatomical principles, focusing on replicating flexion and extension mechanisms of the metacarpophalangeal (MCP), proximal interphalangeal (PIP), and distal interphalangeal (DIP) joints via a tendon-pulley system. Iterative prototyping resolved initial challenges in joint stiffness, tendon routing, and servo interference, culminating in a design where a single servo drives both flexion and extension for each joint using a bidirectional tendon control mechanism. A reliable bidirectional wireless communication framework, using Arduino Nano Every microcontrollers and NRF24L01 modules, enables …

Enhanced And Interpretable Prediction Of Multiple Cancer Types Using A Stacking Ensemble Approach With Shap Analysis, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao

Faculty, Staff and Student Publications

Background: Cancer is a leading cause of death worldwide, and its early detection is crucial for improving patient outcomes. This study aimed to develop and evaluate ensemble learning models, specifically stacking, for the accurate prediction of lung, breast, and cervical cancers using lifestyle and clinical data.

Methods: 12 base learners were trained on datasets for lung, breast, and cervical cancer. Stacking ensemble models were then developed using these base learners. The models were evaluated for accuracy, precision, recall, F1-score, AUC-ROC, MCC, and kappa. An explainable AI technique, SHAP, was used to interpret model predictions.

Results: The stacking …

Evaluating The Effects Of Oxidative Stress On Primary Retinal Pigment Epithelial Cells, Sophia Hessami

Student Research Symposium

Introduction

Age-Related Macular Degeneration (AMD) is the leading cause of vision loss worldwide, affecting 200 million adults over the age of 40

• Affects subretinal layers: retinal pigment epithelium (RPE), Bruch’s membrane, and choroid (Fig. 1)

Problem: Early mechanisms of AMD are not well understood; oxidative stress is often cited as a key contributing factor to the development of AMD.3 Current studies neglect to use primary RPE cells when investigating oxidative stress.

Oxidative Stress occurs when there is an imbalance between reactive oxygen species (ROS) production and cellular antioxidant defenses

• Overabundance of ROS results in damage to tissue and …

Effects Of Uv Radiation On Algae Biofilms Of Rotating Algae Biofilm Reactors, Rebecca Sweeten

Student Research Symposium

Goal: Discover effects of UV-A and UV-B radiation on the biofilm production of algae using a Rotating Algae Biofilm Reactor (RABR)

Method: Expose 3 RABRs in triplicate to UV-A, UV-B, and PAR to identify differences in biomass, nutrient uptake and pH levels.

Results: RABR’s under UV-B light have the highest productivity

Induction Of Diabetic Cardiomyopathy In A Three-Dimensional Myocardial Model, Maelyn Andreasen

Student Research Symposium

Diabetic cardiomyopathy: Impairs and damages heart tissue through chronic exposure to hyperglycemia, or high blood sugar, in diabetic individuals

The Effects Of The Action Rate And Binding Density On Sensitivity In Lateral Flow, Mona Soroush

Student Research Symposium

Lateral Flow Assays (LFAs) offer rapid diagnostics, yet sensitivity remains a critical limitation. This study used a mathematical framework—the Convection-Diffusion-Reaction (CDR) equation—to optimize sensitivity by adjusting parameters such as flow velocity (U), association and dissociation rates (k_on and k_off), and nanoparticle valency. Our simulation results closely matched literature data (Berli & Kler, 2016), demonstrating significant enhancements in sensitivity with optimized parameters.

Preparing A Bioreactor For Avian Cell Culture, Joshua Bell, Taylor Davis, Payton Larsen, Abbie Smith, Joshua Thompson

Student Research Symposium

This project, in collaboration with Upside Foods and Thermo Fisher, focuses on optimizing a 50L bioreactor for avian cell growth. Thermo Fisher has assembled the bioreactor while Upside Foods has provided design specifications and avian specific growth media.

Effects Of Inhibitor Diffusion And Threshold Limits On Edge Detection With Reaction-Diffusion Equations, Zachary Hastings

Student Research Symposium

The purpose of this project is to model edge detection using the Nomura et al's¹ reaction-diffusion equation. Edge detection is an important visual processing tool for human sight, allowing for object detection and visual enhancement. This project explored the effects of inhibitor diffusion, D_i, and threshold limits, a, on edge detection in this model. This project also discovered the limit of Nomura et al's¹ model on the simultaneous detection of multiple edges in a step-wise intensity gradient and attempted to overcome that limitation.

Utilizing Enzymatic Microalgae Hydrolysates For Cellular Agriculture, Maelyn Andreasen, Sophia Hessami, Eli Sheley, Elise Barton

Student Research Symposium

UPSIDE Foods is working to produce chicken products to address the growing global food insecurity crisis.¹ Industrial scalability is limited due to the requirements of cell culture. Through collaboration with the company, we are working to supplement their existing media to drive costs down and improve cell viability.

Mathematical Modeling Of Color Perception Using Differential Equation, Siavash Pooretemad

Student Research Symposium

Color perception begins in the retina, where three cone types (L, M, S) detect light and initiate neural signals. These signals are processed by horizontal and bipolar cells to form opponent color channels: red-green (RG), yellow-blue (YB), and light-dark (LD). Perception is not solely based on physical input but also shaped by neural adaptation and context.

This project models color perception using a differential equation approach, simulating how color contrast and adaptation emerge from interactions between photoreceptors and lateral inhibition.

We hypothesize that a system of differential equations can model how retinal cone cells respond to and process light intensity, …

Laparoscopic Articulating Arm: In Collaboration With The Xenocor Saberscope, Zac Hastings, Lizbeth Pugliese, Rebecca Sweeten, Dallin Thomas, Dallin Treasure-Areno

Student Research Symposium

• Laparoscopy a minimally invasive procedure performed through small incisions using a laparoscope, a camera-equipped instrument, along with specialized tools.

• Laparotomy or "open" surgery, requires a large incision to perform an abdominal operation.

Metabolite Analysis To Understand Factors Limiting Microbial Fermentation At High Substrate Concentrations, Bishal D. Sharma

Dartmouth College Ph.D Dissertations

Clostridium thermocellum, a thermophilic anaerobic bacterium, holds promise as a biocatalyst for conversion of lignocellulosic biomass into biofuels. This microbe has been subjected to various metabolic engineering strategies, including the deletion of genes encoding secondary fermentation products such as H₂, formate, acetate, and lactate, as well as the expression of heterologous genes to redirect carbon flux toward ethanol production. Despite these efforts, achieving economically viable ethanol titers remains a challenge. We hypothesized that studying how intracellular metabolite concentrations change as fermentation stops could reveal metabolic bottlenecks or regulatory mechanisms limiting ethanol production at high titers. However, metabolomics studies at …

Dataset: Compositional Analysis And Hydrothermal Liquefaction Of A High-Ash Microalgae Biofilm, Jacob Watkins, Hamza Abdellaoui, Elise Barton, Clayton Lords, Ronald C. Sims

Biological Engineering Student Research

This dataset contains biochemical composition data and hydrothermal liquefaction (HTL) yield results for a high-ash microalgae biofilm which was cultivated in effluent from a mesophilic anaerobic digester using polyethylene rotating algae biofilm reactors (RABRs). These data were originally collected for use in a techno-economic analysis of biocrude, biodiesel, and bioplastic production from algae that was cultivated using RABRs for municipal wastewater reclamation.

Biochemical data for the microalgae biomass includes bulk protein, measured both using the Bradford protein assay and by multiplying total N; carbohydrate content, measured using a 3-methyl-2-benzothiazolinone hydrazone / dithiothreitol (MBTH/DTT) assay; total lipid content, measured using a …

Stable Heteroclinic Channels As A Decision-Making Model: Overcoming Low Signal-To-Noise Ratio With Mutual Inhibition, Natasha A. Rouse

Faculty Scholarship

Bio-inspired robot controllers are becoming more complex as we strive to make them more robust to, and flexible in, noisy, real-world environments. A stable heteroclinic network (SHN) is a dynamical system that produces cyclical state transitions using noisy input. SHN-based robot controllers enable sensory input to be integrated at the phase-space level of the controller, thus simplifying sensor-integrated, robot control methods. In this work, we investigate the mechanism that drives branching state trajectories in SHNs. We liken the branching state trajectories to decision-splits imposed into the system, which opens the door for more sophisticated controls-all driven by sensory input. This …

Recent Developments In Heterologous Expression Of Cellulases Using The Pichia Pastoris Expression System: A Comprehensive Literature Review, Nazish Muzaffar, Abdur Raziq, Muhammad Waseem Khan, Niaz Muhammad Khan, Bushra Shahid, Anbareen Gul, Hayat Ullah

Biological Engineering Student Research

Cellulosic biomass is considered an important and sustainable source of renewable energy, which needs a complex mixture of different enzymes for its degradation. After amylase, cellulases are the second most important enzymes, gain more importance due to their broad range of applications at the industrial level, and are considered more economical and environmentally friendly; researchers have focused more on the production of cellulase with its higher expression rate and low cost. Pichia pastoris, a methylotrophic yeast strain, has a more effective and well-established system for the production of heterologous proteins, particularly for industrial enzymes. Moreover, its readily achievable high-density …

Strategies For Enhanced Meg Data Analysis In Clinical Practice And Emerging Frontiers, Pegah Askari

Bioengineering Dissertations - Archive

Epilepsy and dementia are debilitating neurological disorders that pose substantial challenges for patients, caregivers, and healthcare systems. Advances in magnetoencephalography (MEG) and signal processing offer new opportunities to improve diagnostic accuracy, surgical planning, and treatment monitoring. This dissertation presents a unified body of work comprising artifact removal, automated event detection, and deep learning-based biomarker discovery. These approaches collectively enhance the clinical utility of MEG for diverse patient populations.

The first study addresses a significant technical obstacle in the management of drug-resistant epilepsy. Patients receiving responsive neurostimulation (RNS) have historically been excluded from MEG as the data is contaminated by device-related …

Novel Electrophysiological Biomarkers In Pediatric Drug Resistant Epilepsy And Genetic Epilepsy Syndromes, Sakar Rijal

Bioengineering Dissertations - Archive

Pediatric epilepsies, particularly those that are drug-resistant or genetically driven, represent some of the most complex neurological disorders encountered in childhood. Central to their pathophysiology is a disruption in the delicate balance between cortical excitation and inhibition (E/I), often resulting from impaired GABAergic interneuron function. This imbalance manifests as aberrant network dynamics and altered neural oscillations, giving rise to seizures and long-term cognitive impairments. In this thesis, we developed a translational framework to identify electrophysiological biomarkers that (i) assess cortical E/I imbalance and (ii) map epileptogenic zones, with the aim of enhancing diagnosis, guiding surgical planning, and informing therapeutic monitoring …