Engineering Commons^™

Dreamtemp: A Platform For Sleep Monitoring And Improvement, Michelle Lim, Kyle Pedersen, Will Cockrum

Interdisciplinary Design Senior Theses

With 70 million Americans suffering from chronic sleep disorders and only 7500 board-certified sleep physicians, a clear logistical problem exists that technological solutions may be able to address. The proliferation of IoT devices in homes and on our person presents a unique opportunity to improve sleep quality by leveraging the data they produce, and the control they provide to us over our everyday lives. DreamTemp is a platform for sleep monitoring and improvement that aims to improve an individual’s quality of sleep by dynamically adjusting the room temperature based on the user’s sleep cycle using a smart wearable and thermostat. …

Rhea Breast Pump: Implementation Of Biomimicry Technology, Harper Daniels, Leanne James, Laini Reynolds, Courtney Rowe, Julia Yaklich

Interdisciplinary Design Senior Theses

Rhea Breast Pump is an innovative breast pump that implements biomimicry informed technology for a more efficient and comfortable breastfeeding experience. Our design implements a tongue actuator in conjunction with vacuum to mimic the suckling motion of a baby’s mouth, a heating element for pain alleviation, and a soft flange to maximize comfort. The development of this device is motivated by the goal of empowering women, specifically nursing mothers, to maintain their independence and individuality while raising a family. Our team, consisting of all female engineers, strongly believes in and supports the notion that women can and should have the …

Microneedles For Wound Healing, Maya Matheny, Maggie Dubus, Lily Eribes

Bioengineering Senior Theses

Microneedles are a virtually painless and minimally invasive transdermal delivery system comprised of an array of micron-sized needles that can be used to deliver cells, drugs, proteins, and vaccines. However, a major challenge to this delivery method is controlling puncture depth. To advance the microneedle landscape, our project aims to identify and characterize the biomechanical cues between a microneedle puncture and a hydrogel skin phantom for pre-clinical testing A stopper microneedle design that controlled puncture depth into the phantom skin model patch to 150μm was tested on millimeter-thick mold-casted alginate slabs. The hysteresis loop differs in the presence and absence …

Neurogen: Eeg And Near-Infrared Light Stimulation Control System, Arnold Nieto, Jaylinn Solis, Matthew Tamanaha

Interdisciplinary Design Senior Theses

Light stimulation or transcranial photobiomodulation (tPBM) therapy has been shown to be effective when treating patients suffering neurodegenerative diseases such as Alzheimer’s and Parkinson’s disease. While there is currently no cure, light stimulation can help alleviate symptoms for those patient’s suffering from these diseases. With this in mind, the senior design team from last year began a prototype hybrid electroencephalography (EEG) and tPBM device. They implemented a specific wavelength of 810 nanometer (nm) near-infrared (NIR) light emitting diodes (LEDs), with a 16 channel EEG headset from OpenBCI. The device was intended to serve as a potential research tool, with a …

Minimally Invasive 3d Printed Microneedles For Glucose Monitoring, Eduardo Quintero, Justin Wong

Bioengineering Senior Theses

Continuous glucose monitoring (CGM) provides an instantaneous real-time display of glucose level, rate of change of glucose, alerts, and alarms for actual or impending hypo- and hyperglycemia. Continuous glucose monitors are able to stay implanted on the patient anywhere from 7-14 days, giving patients and doctors valuable information to help improve patient care for diabetics, and providing them with a way to continuously monitor their blood glucose level concentration throughout the day.

Conventional methods of glucose detection such as blood glucose meters require the patient to gather frequent blood samples to generate instantaneous results that are only accurate as of …

Towards Targeted Delivery To Cns Neurons By Conquering The Bbb, David G.A. Bengford

Bioengineering Master's Theses

Brain cancer treatments have long been restricted by the blood-brain barrier (BBB). Semi-permeable in the most selective way, this barrier may be crossed by one of three methods: membrane integrity disruption, passive transport, or active transport. The third option offers the opportunity for many medically relevant cargoes, such as proteins and nucleic acids, to be shuttled into the brain. The concept of a therapeutic “Trojan horse” builds on this capability by employing engineered nanovesicles—in this work, engineered exosomes—whose surfaces are studded with ligands functioning as the keys to crossing the BBB. Exosomes are a powerful methodology for this approach because …

Staphylococcus Aureus Sortase A Protein Applications And Methods: (1) Drug Discovery In Anti-Infectious Agents; (2) A Biotechnique Analysis For Indication Sortase A Protein Purification Methods; (3) In Vivo Protein Ligation For Discovery Of Novel Protein Engineering Methods:, Melina Huang Xia

Bioengineering Master's Theses

It has been understood that during Gram-positive bacterial infection, the bacterial cells interact with host mammalian cells via the virulence factors whose anchorage onto the bacterial surface are mainly catalysed by Sortase A[2]. Emergence of antibiotic-resistant bacterial strains, especially the Gram-positive bacteria, has rendered the rise of many antibiotic resistant bacteria, resulting in rise of infection cases that bypass traditional first-line antibiotics treatments. It is crucial for the public health that scientists and researchers discover an alternative treatment for the bacterial infection that targets the underlying pathogenic mechanism that are responsible for the increased virulence of such bacteria without contributing …

Immuno-Anti-Infective Drug Design Using Bioai, Cathy Chen, Vivian Zhang

Bioengineering Senior Theses

According to the World Health Organization, antibiotic resistance is one of the biggest threats to global health, food security, and development today. A growing number of infections, like Methicillin-resistant Staphylococcus aureus, are becoming harder to treat as the antibiotics used to treat them become less effective. As a result, the primary concern for infections in the hospital setting is due to the S. aureus’s growing resistance to antibiotics. Therefore, in response to this global health threat, our project focuses on furthering the research in developing a drug that S. aureus will not develop resistance to. In this paper, we assess …

Poly(Adr-Ribose) Polymerase 14-Specific Inhibitor For Hepatocellular Carcinoma, Clarissa Silvers, Colin Sim

Bioengineering Senior Theses

Poly (ADP-ribose) polymerases, PARPs, are comprised of a family of 17 human enzymes that share a conserved catalytic domain that transfers ADP-ribose from nicotinamide adenine dinucleotide (NAD+) to target proteins. While significant proteomic-based efforts in the field have uncovered a host of potential targets for each of the various active PARP enzymes, an outstanding question remains as to what extent proximal versus distal interactions with the protein substrates govern target selection. In this work, we describe the use of tandem mass spectrometry to identify specific residues that are auto-modified in both PARP14 and PARP15 as well as their preferred modification …

Wearable Health Sensor, George Kouretas, Kelley Mccarroll

Bioengineering Senior Theses

The COVID-19 pandemic has significantly impacted several populations, partially due to the lack of access to basic health care amenities, and emphasized the need for continuous telehealth monitoring of relevant biometric vitals. This need is further emphasized through research that has suggested that simple biometric vitals, including heart rate (HR), blood oxygen saturation rate (SpO2), and temperature, are relevant biomarkers for early disease diagnosis. The project aims to address this need through the design wearable health platform that uses novel, non-invasive techniques to monitor biometrics with the eventual goal to provide user insights into current health status and identify early …

Shear Detection Of Microencapsulated Cells For Monoclonal Antibody Production Scaleup, Kendall Defelippi, Dwight Johnson

Bioengineering Senior Theses

Scale the reported hydrodynamic shear values in industrial bioreactors for monoclonal antibody production to the shear stress measured in our custom microneedle prototype by extruding microencapsulated CHO cells. A correlation between the number of extrusion loops to reduction in cell viability enables a scalable screening method for bioprocessing efficiency.

Engineering Hydrogels For Delivery Of Therapeutic Proteins, Francesca Briggs, Daryn Browne

Bioengineering Senior Theses

In this project, we investigate how innate hydrogel properties can be leveraged for controlled protein drug release platforms. Therapeutic proteins have many valuable applications within the medical field, however, professionals often face many obstacles with obtaining controlled drug release. This paper analyzes how the manipulation of hydrogel properties can improve protein drug release rates. We started these investigations by varying hydrogel concentrations since we saw that this affects the release of small molecules. Additionally, we wanted to see what the addition of a second hydrogel network would do to protein release rates. These experiments concluded that raising polymer concentrations and …

Bioai For Anti-Infective Drug Discovery, Maria Esquivel, Johann Fernando, Anna Fisher, Cameron Leong, Adam Weaver

Interdisciplinary Design Senior Theses

Modern antibacterial drugs are quickly becoming insufficient for medical, agricultural and veterinary use, and the drug design techniques used to supplement the supply are not able to adequately and quickly produce enough effective candidates. We took a multi-pronged approach to remedying this problem, including shifting the target mechanism from antibiotic drugs in favor of anti-infective drugs, developing an AI which aimed to predict the interactions of small molecule fragments with the target protein, and refining wet lab testing protocols in order to make the drug design process holistically more efficient and effective. We have shown that there is potential in …

Skin Phantom For Wearable Device Benchtop Testing, Laura Apolloni, Vindhya Mullapudi, Takumi Simon

Bioengineering Senior Theses

The biowerables constitute one of the fastests growing sectors of the medical device industry. Novel approaches for rapid prototyping have increased design and development speeds. However, in vivo testing that is currently used for many medical devices makes testing time-consuming, costly, and presents ethical issues. As an alternative, benchtop testing tools promise to alleviate these concerns. Artificial tissue phantoms that are capable of mimicking the characteristics of human tissues are required for demonstrating a medical device’s safety and efficacy in benchtop tests. While there are many hydrogels that are able to mimic these relevant properties of human tissue, creating a …

Neurogen: Eeg And Near-Infrared Light Stimulation Control System, Karina Sanchez, Sruthi Sakthivel, Michael Bose, Evan Jennings

Interdisciplinary Design Senior Theses

Neurodegenerative diseases, such as Alzheimer’s disease and Parkinson’s disease are widespread, affecting millions of people worldwide. These diseases occur when neurons in the brain or peripheral nervous system progressively lose function and deteriorate. Current pharmacological treatments manage some of the neurological symptoms, but there is no cure yet. Interventions that mitigate or restore loss of function can fill the void until that goal is met. Light stimulation, or transcranial photobiomodulation (tPBM) therapy, can help treat people with neurodegenerative diseases, as it has been shown to improve sleep, attention, memory, and cognitive function.

The objective of this project is to develop …

Identification Of Messenger Molecule For Immuno-Antibacterial Infection Drug Discovery With The Usage Of Bio-Ai, Minqiao (Lisa) Jin

Bioengineering Master's Theses

Facing the danger of Gram-positive bacterial infection, mammalian cells have their defense line. A functional proteomics study aided with Deep Learning indicates the direct interaction between collagen V from mammalian cell membrane and Sortase A which catalyzes the display of virulence factors on the gram positive bacteria. And CHO cell proteomes conducted with the use artificial intelligence via Tensorflow and found that the identified anti collagen V binds to Sortase A of S. aureus and regulates its monomer-homodimer equilibrium, which is responsible for the bacterial cell wall sorting activity. Our results suggest that the collagen V plays an instrumental role …

Machine Learning Based Model For The Detection Of Brain Aneurysms From Mr Angiography, Katherine Becknell, Claire Bushnell, Rachel Fitzsimmons, Emily Sumner

Interdisciplinary Design Senior Theses

A brain aneurysm is a thin or weak spot on a blood vessel wall that expands and fills with blood. Brain aneurysms are very dangerous due to the fact that in most cases, patients do not show any symptoms. Because of this, aneurysms are difficult to diagnose unless it becomes very large or ruptures, resulting in fatal hemorrhage.

Aneurysms can be detected by a number of different brain imaging methods including Magnetic Resonance Imaging (MRI), Magnetic Resonance Angiography (MRA), Computed Tomography Angiography (CTA) and other imaging methods but for the sake of this report we will only be focusing on …

Classifying Brainwaves For Brain-Computer Interface Technology, Derrick Wang, Brendan Lawler

Bioengineering Senior Theses

The intention of this project is to develop a brainwave classification system that will help restore the independence of those with severe motor function impairments. While current brain computer interface (BCI) technology offers a means of control for those with limited mobility, severely motor disabled individuals represent a population in need of methods to restore independent motor control. Thus, the objective of our project is to utilize neural signals from electroencephalogram (EEG) recordings to develop a machine learning classifier. Since our specific goal is to help those with limited mobility, we are focusing on motion imagery tasks which elicit a …

Flow Visualization Of Bolus Microcapsule Delivery Through 3d Printed Microneedles, Sophie Quisling, Leana Vestal, Alexis Enstrom

Bioengineering Senior Theses

Microneedle arrays are an emerging technology that offers a novel drug delivery system to treat a variety of skin wounds and diseases. The needles deliver therapeutics to the epidermis layer of the skin and therefore establish advantageous qualities over the standard hypodermic needle as they are non-invasive, efficient in biologic absorption, and can be self-administered. This project investigates a custom 3D-printed hollow microneedle device created by a Santa Clara University Senior Design team in 2018 for microencapsulated cell extrusion to be applied for accelerated wound healing. The goal of our project is to operate in the therapeutic range for flowrate …

Milkguard: Predictive Modeling And Mobile App Development For Affordable, Usable Breast Milk Diagnostic, Beau Hsia, Emma Mccurry

Bioengineering Senior Theses

Breast milk is considered the gold standard of infant nutrition, but some infants around the world lack access to it due to maternal health complications or other considerations. Human breast milk banks do exist to try to alleviate this problem, but most are underfunded and have high operational costs, making it difficult for some infants to obtain safe, reliable donated breast milk.

Existing methods of testing breast milk are expensive, so the MilkGuard project was conceptualized in 2017 as a fast, economical, and highly usable bacterial contamination detection system. Prior to this year, previous MilkGuard teams had developed a system …

Predictive Model For Design Of A 3d Developmental Neurotoxicity Platform, Emma Barrett-Catton, Murial Ross, Cameron Read

Bioengineering Senior Theses

Exposure to developmental toxins during gestation have been shown to be linked to neurological disorders such as epilepsy, schizophrenia, and dyslexia [1] . In this report we describe efforts that represent the ground work to develop a predictive neurotoxicity model to test developmental toxicity on early neuronal differentiation from drugs and toxins for human consumption or exposure. Developmental toxins are toxins that prevent stem cell differentiation into neurons by impacting neural development [2] . Currency technologies used to evaluate a compound's potential as a developmental toxin are centered around culturing stem cells in a two-dimensional environment or exposing animal models …

Non-Ribosomal In Vivo Protein Ligation, Sarah Desautel, Kenneth Joseph, Victorino Miguel Francisco

Bioengineering Senior Theses

Protein ligation is a process integral to many biomedical applications, however the current industry standard, expressed protein ligation (EPL), is highly error prone and time-and-cost inefficient. Our team sought to improve this integral process by proving the efficacy of a new method of protein ligation using the transpeptidase Sortase A. Sortase A is known to efficiently bind two peptide fragments so long as they are attached to LPXTG motifs, which signal and activate the enzyme’s ligation abilities. Previous studies affirm Sortase A’s binding ability and efficacy in in vitro situations, however none have yet confirmed its abilities in vivo. Operating …

Development Of Novel Deep Learning Models In The Detection Of Breast Cancer And Brain Aneurysm, Pradnya Patel

Bioengineering Master's Theses

Three deep learning models using convolutional neural network (CNN) were developed for the early detection of breast cancer and brain aneurysm. Model 1 was built for the detection of breast mass; it consists of 20 total layers including 5 convolutional layers, 5 maxpool layers with Rectifier Linear Unit as the activation function for feature extraction, one flatten layer, 4 batch normalization with fully connected layers, and one output layer. This CNN model was trained and validated on an open-source breast ultrasound dataset that contains a total of 830 images categorized into three classes: normal (133 images), benign (487 images), and …

Classification Of Breast Cancer Using Deep Learning And Mammogram Images, Travis Kay, Derrick Dang Nguyen, Lashan Wijayawickrama

Bioengineering Senior Theses

Breast cancer is the second leading cause of cancer deaths among US women. Thus, it is important for doctors to detect and diagnose breast cancer as early as possible. Mammography has been used for about 30 years, but there have been rapid developments using digital mammography technology and computer aided systems to help improve breast imaging. Deep learning techniques are being developed to provide a more effective tool for the classification of breast cancer. We adopt a transfer learning approach and fine-tune a pre-trained convolutional neural network model for accurate classification of breast masses based on screening mammograms. The model …

G-Map: Gastrointestinal Myoelectric Activity Phantom, Kei Castleberry, Sarah King, Edie O’Connor

Bioengineering Senior Theses

In the biowearable industry, there is a need for benchtop testing methods that present cost-effective, consistent, and ethical alternatives to current preclinical testing. Artificial phantoms serve to meet this need by mimicking the clinically relevant elements that biowearables monitor. They act as a tool for demonstrating a medical device’s safety and efficacy. The objective of this project is to create a gastrointestinal (GI) phantom that emulates the electrical and material properties of the stomach, small intestine, and colon in order to test diagnostic GI biowearables. Our team also aimed to create a computer-simulated model of the phantom in order to …

High Throughput And On-Chip Analysis Of Engineered Extracellular Nano-Vesicles And Their Functional Characterizations, Brendan Johnson, Jiayi Zhang

Bioengineering Senior Theses

In recent years, extracellular vesicles (EVs) have shown great promises as drug delivery vehicles to treat various diseases, including cancer and neurological diseases. EV surface engineering is a critical step to achieve targeted drug delivery. By engineering EVs with transmembrane scaffolds, targeting molecules can be displayed on the EV outer surface, and cargos can be loaded into the EV lumen. However, EV heterogeneity and inadequate EV purification and characterization methods impose great challenges on understanding engineered EVs and choosing appropriate transmembrane scaffolds. To this day, surface engineered EVs are still limited to lab research. In this thesis, we modify the …

Skin Phantom For Biowearable Device Testing, Ruby Karimjee, Brooke Fitzwilson, Jordan Spice

Bioengineering Senior Theses

The biowearable industry currently utilizes animals, humans, and cadavers for testing skin mounted bio-devices. There is a need for a sustainable skin phantom that is capable of simulating the properties of skin. We proposed a skin phantom educational kit that emulates the perspiration and electrical properties (i.e. impedance spectrum) of skin. This kit can mimic the effects of different sweat concentrations and geometrical structures and allows students to visualize how these properties change electrical measurements. We designed a three-layered model composed of silicone rubber sandwiched between agar, which is similar to the skin's elastomeric and porous texture. We used simple …

Optimal Reactor Configuration Of A Microbial Fuel Cell Containing Bacteria Genetically Engineered To Degrade Urea, Ann Mcmonigal, Sarah Khoilian, David Bengford

Bioengineering Senior Theses

The original specific aim of this project was to use a microbial fuel cell (MFC) fueled by the catabolism of E. coli DH5α (pKAU17) bacteria in order generate current as a result of urea degradation. The initial design plan was to test the bacteria outside of the MFC, obtain power measurements,, and finally, construct an electrochemical model that would be compared to an existing theoretical model developed at SCU. Using a 0.25 L anode chamber, graphite electrodes and a sulfonated tetrafluoroethylene based fluoropolymercopolymer proton exchange membrane the galvanic cell was constructed. In response to constraints, the design plan was modified …

Novel Cancer Treatment Using Engineered Exosomes To Disrupt Cancer’S Immune Escape, Abena Boateng, Carley Fowler, Maritza Soria

Bioengineering Senior Theses

Cancer is one of the leading causes of death in the United States¹. This disease has impacted billions worldwide and has led to an ever-increasing burden on the healthcare system. Over the last couple of years, researchers have improved upon conventional cancer therapy that includes chemotherapy, radiation, and surgery. One novel approach is immunotherapy, which shows great potential because it has the ability to directly target cancerous cells². This is a viable treatment because most cancers develop the ability to block immune pathways and evade the killer immune cells in what is known as cancer immune …

Identification Of Messenger Molecule Between Mammalian And Bacterial Cells, Anna Fraser-Philbin, Alexander Heiler

Bioengineering Senior Theses

The rapid escalation of the antibiotic resistance crisis has brought attention to the decline in efficiency of antibiotics which have long been a cornerstone of modern medicine. This project aims to provide novel drug targets for the creation of anti-infective immunotherapies that can treat drug-resistant infections. The identification of said drug target(s) (Molecule X) will allow for the development of an antibody based drug that will neutralize bacterial virulence rather than killing the bacteria. Molecule X will be bound using the protein Sortase A (SrtA). SrtA is a surface protein that controls the virulence of gram positive bacteria by anchoring …