Digital Commons Network^™

Integration Of Intraoperative Data In Interpretable Machine Learning Models To Predict Postoperative Aki In Noncardiac Surgery Patients, Justin Do, Karan H. Shah, Melissa Xu, Andrew Hyunwoo Kim, Vivaswat Suresh, Nidhir Guggilla, Michael Li, Rishi Kothari

Department of Anesthesiology Faculty Papers

OBJECTIVES: We aimed to (1) quantify changes in discrimination when adding intraoperative data to preoperative data and (2) compare tabular machine learning with feature engineering against a time-aware LSTM-based model.

MATERIALS AND METHODS: Retrospective cohort of 46 204 adults undergoing 57 055 eligible noncardiac surgery in the INSPIRE database. We extracted 38 preoperative and 49 intraoperative variables; acute kidney injury (AKI) was defined by KDIGO serum creatinine criteria and modeled as stage 2/3 postoperative AKI. Models were trained on preoperative-only and combined pre- and intraoperative data. Intraoperative series were summarized using eight statistical features for tabular models or integrated directly …

Contribution Of Animals To Biomedical Advancements In The Current Era: A Narrative Review, Leena Rajathy Port Louis, Mani Rajarathinam, Prithiviraj Nagarajan, Divya Sekar, Nisha Perumal

The Thai Journal of Pharmaceutical Sciences

Animal research has played a major role in the development of vaccinations and therapies for illnesses such as tetanus, polio, meningitis, hepatitis, and Severe Acute Respiratory Syndrome Coronavirus 2. For every prescription drug available today, animal testing and research have contributed immensely. This narrative review aims to explore the contribution of animals to biomedical advancements in the current era, which involved a search of peer-reviewed literature using electronic databases such as Scopus, Web of Science, and PubMed. In current biomedical research, animals help develop new treatments for long-term illnesses such as cancer, HIV, and Alzheimer’s. Animals also aid in the …

Microwave-Assisted Extraction Optimization And Bioactivity Assessment Of Flavonoid-Rich Extract From Lantana Camara L. Leaves In Zebrafish Epilepsy Model, Prem Kumar B R, Shwetha Krishnamurthy, Gouri Nair, Sundara Saravanan Kamatchi

The Thai Journal of Pharmaceutical Sciences

Background: Lantana camara L. (Verbanaceae) is known for its bioactive compounds and has been reported for its potential therapeutic applications. Flavonoids from natural sources are acknowledged for their antioxidant and neuroprotective properties, suggesting a possible role in seizure management.
Objectives: This study intended to optimize the microwaveassisted extraction (MAE) of flavonoid-rich extract from L. camara L. leaves utilizing a designof- experiment approach and evaluate its antiepileptic property using the zebrafish model.
Materials and Methods: Four solvents (ethyl acetate, acetone, ethanol, and water) were initially used, with ethanol yielding the highest total flavonoid content (TFC). A central composite design was employed …

Optimistic And Ambivalent Attitudes Toward Clinical Artificial Intelligence, Sevi̇l Uygun İli̇khan, Si̇nem Ülke, Mahmut Özer, Matjaž Perc, Yavuz Ayhan

Turkish Journal of Medical Sciences

Background/aim: Artificial intelligence (AI) is increasingly being integrated into healthcare systems; however, healthcare professionals’ knowledge, attitudes, and perceptions regarding AI remain insufficiently understood. This study aimed to evaluate healthcare professionals’ perceptions of AI in clinical practice.

Materials and methods: This descriptive cross-sectional study included 260 healthcare professionals, including physicians, nurses, and healthcare technicians working at a tertiary public hospital in Türkiye. Participants completed the Healthcare Professionals and Artificial Intelligence Questionnaire, which assessed demographic characteristics, AI knowledge, workplace AI use, attitudes toward AI applications, ethical and legal concerns, perceived professional impact, and educational needs.

Results: Most participants reported limited AI knowledge; …

A Caveat Regarding The Unfolding Argument: Implications Of Plasticity, Viknas N. O'Reilly-Shah, Alessandro Maria Selvitella, Aaron Schurger

Psychology Faculty Articles and Research

The unfolding argument in the neuroscience of consciousness posits that causal structure cannot account for consciousness because any recurrent neural network (RNN) can be “unfolded” into a functionally equivalent feedforward neural network (FNN) with identical input–output behavior. Subsequent debate has focused on dynamical properties and philosophy of science critiques. We examine a boundary condition on the unfolding argument for RNN systems with rapid plasticity in their connection weights. We demonstrate through rigorous mathematical proofs that rapid plasticity negates the functional equivalence between the RNN and the FNN. Our proofs address history-dependent plasticity, dynamical systems analysis, information-theoretic considerations, perturbational stability, complexity …

The Effect Of Weight Training With Blood Flow Restriction On Muscle Strength Development In Mma, Tomáš Kozák, Marek Kokinda, Pavel Ružbarský

Baltic Journal of Health and Physical Activity

Background: This study aimed to elucidate the effect of weight training with blood flow restriction (BFR) on explosive power and isokinetic strength in combat athletes. Materials and methods: The sample included 12 male MMA fighters divided into a control (19.50±0.50 years) and an experimental (18.00±1.00 years) group. Participants trained twice weekly for 8 weeks, with BFR in the experimental group. Explosive power was assessed using following tests by Optogait: countermovement push-up, kneeling countermovement push-up and kneeling squat push-up for upper limbs and countermovement jump, countermovement jump with free arms and squat jump for lower limbs. Isokinetic strength was measured by …

(Re)Claiming Homeplace: Dance As Embodied Resistance & Healing For Health & Spatial Justice, Preeya G. Kannan

University Honors Theses

This thesis argues that dance functions as both an upstream public health intervention and a form of radical spatial resistance; creating healing, agency, and belonging among historically marginalized communities. Drawing on bell hooks' concept of homeplace, Jasbir Puar's assemblage theory, Nancy Krieger's eco-social theory, and Katherine McKittrick's Black geographies, I position the body as both an ecological and political landscape shaped by histories of colonialism, racial capitalism, displacement, and resilience.

Through this community-based participatory research study, Homeplace, I explore dance as a form of social prescription that centers liberation rather than pathology. Movement is often reduced in public health discourse …

The Neuroprotective Effect Of Cdc42 Inhibition In The G93a Mutant Hsod1 Mouse Model Of Als, Andrea Koly

Undergraduate Theses, Capstones, and Recitals

Amyotrophic lateral sclerosis (ALS) is a progressive and fatal neurodegenerative disease characterized by the selective loss of upper and lower motor neurons, leading to muscle weakness, neuromuscular junction (NMJ) degeneration, paralysis, and eventual death due to respiratory failure. Despite extensive research, effective disease-modifying therapies remain limited, underscoring the need to identify novel molecular targets involved in ALS pathogenesis. Dysregulation of Rho family GTPases has been implicated in neurodegeneration, with Rac and Rho exerting opposing effects on neuronal survival; however, the role of the closely related GTPase Cdc42 remains poorly understood in ALS. In this study, the therapeutic potential of inhibiting …

Differential Roles Of Moesin And Vasp In Β-Catenin-Associated Networks During Zebrafish Heart Regeneration, Allen Rutman

Undergraduate Theses, Capstones, and Recitals

With cardiovascular disease remaining as the leading cause of mortality worldwide, it is largely due to the limited regenerative capacity of the human heart. However, zebrafish (Danio rerio) can fully regenerate cardiac tissue following injury, providing a valuable model for studying the mechanisms of heart repair. To investigate these mechanisms, we used proteomics methods in the past. Proximity labeling is a technique that identifies proteins based on their physical proximity to a protein of interest. It can be applied in organisms and in living cells (Roux et al., 2012; Cho et al., 2020). We used proximity labeling to characterize protein …

Understanding Whole-Brain Dynamics Through Generative Modeling, Ruiqi Chen

Arts & Sciences Graduate Student Theses and Dissertations

A central goal in cognitive neuroscience is to map mental processes onto their physical substrates. Traditionally, this goal is pursued by associating different mental processes with spatially-based anatomic localization. On the contrary, much less is known about the temporal dynamics of neural activity, particularly at the scale of the whole brain. Research into whole-brain dynamics has been challenging primarily due to the lack of an analytic framework that can summarize such dynamics, expose the underlying mechanisms, and associate the mechanisms with cognitive processes. In this dissertation, I describe my doctorate research aimed at building such a framework and deploying it …

School Policy, Health Equity, And Lgbtq+ Youth: Implications Of Mahmoud V. Taylor, Anna Folta

Online/Hybrid MPH Integrative Learning Experience (capstone projects)

School-based policy functions as a critical lever for reducing health disparities among LGBTQ+ youth, who face elevated risks of suicidality, bullying, unsafe school environments, and housing instability. An extensive body of research identifies inclusive school practices—such as affirming curricula, supportive staff, and student organizations—as key protective factors that foster belonging and improve mental health outcomes. However, recent political and legal developments threaten the implementation and consistency of these protections.

Using a structured literature review and comparative policy analysis of federal, state, and district responses, this project integrates public health evidence with legal interpretation to assess how emerging parental opt-out frameworks …

Flame Retardant Metabolites In Urine Samples Associated With U.S. Consumer Dietary Behaviors, Heather Marie Holliday

Walden Dissertations and Doctoral Studies

No abstract provided.

Artificial Intelligence In Biomedical Scientific Publishing, Tomasz J Guzik, Victor Aboyans, Stefan Agewall, Steven Bailey, Adrian Baranchuk, Magnus Bäck, Michael Böhm, Robert O Bonow, George W Booz, Giuseppe Boriani, Biykem Bozkurt, Nico Bruining, Davide Capodanno, Çetin Erol, Péter Ferdinandy, Alessia Gimelli, Gerd Heusch, Thomas Kahan, Chim Choy Lang, Gerald Maurer, Robert J Mentz, Marco Metra, Philip Moons, Daniel Piskorz, Massimo Piepoli, Piotr Ponikowski, Alexandra Popma, Bianca Rocca, Juan Sanchis Fores, Philipp Sommer, Rhian M Touyz, Zoltan Ungvari, Pascal Vranckx, Joseph A Hill, Thomas F Lüscher, Filippo Crea

Faculty, Staff and Students Publications

Artificial intelligence is now embedded across the scientific research and publishing ecosystem, influencing discovery, analysis, knowledge translation, authorship, peer review, and editorial workflows. In cardiovascular and biomedical sciences, these developments offer substantial opportunities to accelerate knowledge generation, integrate complex datasets, and improve efficiency and consistency. At the same time, they introduce new risks related to bias, transparency, data integrity, and authorship responsibility, potentially endangering trust in the scientific record. This commentary examines the evolving role of AI in biomedical publishing, with particular attention to generative models and machine learning tools. We review both benefits and limitations, highlight risks such as …

Patterns Of Brain-Wide Associations Reflect Socioeconomics, Scott Marek, Meghan Rose Donohue, Nicole R Karcher, Caroline P Hoyniak, Roselyne J Chauvin, Ashley C Meyer, John Miller, Andrew N Van, Anxu Wang, Noah J Baden, Vahdeta Suljic, Kristen M Scheidter, Julia Monk, Forrest I Whiting, Nadeshka J Ramirez-Perez, Samuel R Krimmel, Athanasia Metoki, Rebecca F Schwarzlose, Steven E Petersen, Joan Luby, Benjamin P Kay, Evan M Gordon, Timothy O Laumann, Deanna M Barch, Nico U F Dosenbach, Et Al.

2020-Current year OA Pubs

Previous brain-wide association studies (BWAS) have linked specific environmental and behavioral variables to brain variability. In this work, we mapped 649 variables to children's brains and compared the resultant BWAS maps with each other and with neurobiological reference patterns. Socioeconomic status (SES) showed the strongest brain-wide associations. The SES associations were strongest in motor and sensory but not cognitive regions, a pattern shared across many BWAS maps, including intelligence quotient (IQ). A single, common BWAS brain pattern existed across variables that was most reflective of a child's socioeconomics. Adjusting for SES weakened brain-IQ associations, eliminating the BWAS motor and sensory …

Evolution Lower Limb Functional Asymmetry In Women's 400 M Hurdles From 1978-2022, Janusz Iskra, Wojciech Paśko, Paweł Gwiazdoń, Magdalena Chanas, Krzysztof Przednowek

Baltic Journal of Health and Physical Activity

Background: Functional asymmetry of the lower limbs in the technique of clearing 10 hurdles in the 400 m hurdles event was the subject of the study. Materials and methods: This study investigates the patterns of hurdle clearance, distinguishing between left and right lead legs by 196 female hurdlers competing in major championship events (including Olympic Games, World Championships, European Championships) from 1978 to 2022. The hurdlers were categorized into three groups based on competition periods: Group A (1978–2000), Group B (2001–2011), and Group C (2012–2022). The share of the left lead leg (assumed by most authors to be the lead …

Comparative Analysis Of Leaflet Materials, Stent Materials, And Stent Cell Density For Bileaflet Transcatheter Mitral Valve Design, Joseph Chibuike Nwokeafor, Joshua D. Hofmeister, Breandan B. Yeats, Lakshmi Prasad Dasi, Charanjit S. Rihal, Juan A. Crestanello, Leigh Griffiths, Mohamad A. Alkhouli, Hoda Hatoum

Michigan Tech Publications

Background: The biomechanical performance of bileaflet transcatheter mitral valves (TMVs) depends on complex interactions between leaflet material behavior and stent design. However, the contributions of leaflet materials and constitutive models, stent materials, and stent geometry to valve function and durability remain poorly understood. Methods: A parametric finite element study was conducted using a CAD model of a bileaflet TMV subjected to physiological pressure loading. Five leaflet material models were evaluated: 3 glutaraldehyde-fixed tissues—bovine pericardium (BP; FBP1, FBP2) and porcine pericardium (PP; FPP)—and 2 unfixed tissues—bovine (UBP) and porcine pericardium (UPP). BP was modeled as a linear elastic (FBP1) and Ogden …

Assessing Indoor Heat Vulnerability And Cooling Strategies In Three Mobile Home Communities In Boulder, Colorado, Usa, Mehdi P. Heris, Skye Niles, Alana Wilson, Megan Mccurdy, Amy Lacourse, Nick Lankau

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Extreme heat is an increasing public health and environmental threat shaped by both physical and social factors. This study assesses the vulnerability of mobile homes and their residents at three mobile home parks in Boulder, Colorado. We examined indoor temperature, housing conditions, and social and personal risk factors of the households. We monitored indoor and outdoor temperatures using 27 indoor and 5 outdoor temperature data loggers, comparing mobile homes with air conditioning, swamp coolers, and passive cooling designs. This work provides a detailed analysis of indoor temperature patterns and demonstrates how evaluating trends yields insights into the performance and effectiveness …

Rape Pregnancies And Consequent Ptsd Resulting From The Overturn Of Roe V. Wade, Emma Lindenfelser, Yulia Garaeva, Nenette Nti-Agyemang, Ellen Davis, Anna Kabwa, Alexandra M Calaman

Binghamton University Undergraduate Journal

Prior to the 1973 Roe v. Wade ruling, access to safe legal abortions was limited and often restricted along racial, economic, and geographic lines. Nearly fifty years later, women’s health policy evolved again following the 2022 Dobbs v. Jackson Women’s Health Organization decision overturning Roe v. Wade. This court ruling decimated federal protections of abortion. This paper presents the research that the 2022 Dobbs judicial decision may contribute to and exacerbate rape-related PTSD on 1 out of 20 American who are unable to access a safe abortion after a rape-related pregnancy. Pregnant women living in conservative states that have outlawed …

Imaging And Non-Imaging Approaches For The Diagnosis And Monitoring Of Necrotizing Enterocolitis-What Lies Ahead?, Indrani Bhattacharjee, Catalina Le Cacheux, Eric B. Ortigoza, Jonathan Dillman, Sherwin S. Chan, Alain Cuna

Manuscripts, Articles, Book Chapters and Other Papers

Necrotizing enterocolitis (NEC) remains one of the most serious gastrointestinal emergencies in preterm infants, and imaging plays a central role in diagnosis and clinical management. Historically, evaluation has relied primarily on abdominal radiography, which remains widely available and embedded in established diagnostic frameworks. However, the hallmark radiographic signs of NEC (i.e., pneumatosis intestinalis, portal venous gas, and free air) reflect relatively advanced manifestations of intestinal injury that indicate established mucosal disruption or transmural necrosis. Bowel ultrasound has increasingly complemented radiography by enabling real-time assessment of bowel wall integrity, perfusion, motility, and intra-abdominal fluid, providing physiologic information that may refine clinical …

Extraction Of Key Themes In Online Health Discourse Using Unsupervised Learning And Large Language Models, Miranda G. Scully

Computer Science Senior Theses

Health online discussion boards are a modern platform that allow patients to interact with each other and the healthcare system as a whole, making them valuable sources of information for clinicians seeking to better anticipate treatment experiences and barriers. This study focuses on one such community, r/suboxone, a subreddit where patients using Suboxone share their experiences and ask questions. Our analysis is motivated by previous work that proposes event-based classification systems for such posts which buckets posts from r/suboxone into one or more of five high-level labels (Access Logistics, Co-Occurring Drug Usage, Medication for Opioid Use Disorder Administration, Psychophysical Effects, …

Rehabvr: A Virtual Reality System For Upper-Body Orthopaedic Physical Therapy Rehabilitation, Winnie Brenda Wanjiru Waiya

Computer Science Senior Theses

Physical therapy is a central component of rehabilitation for musculoskeletal conditions, yet adherence to prescribed treatment remains persistently poor. Jack et al. identified pain, boredom, and insufficient feedback as key barriers to treatment adherence in physiotherapy outpatient settings,¹ and Rucinski et al. confirmed that non-adherence rates in orthopaedic populations remain between 50 and 70%, with patients who disengage facing elevated risk of reoperation, progressive functional decline, and poor clinical outcomes.² According to the World Health Organization, approximately 1.71 billion people globally live with musculoskeletal conditions,³ with shoulder pain specifically carrying a community prevalence ranging from 0.67 to 55.2% worldwide and …

Intrathecal Antibody Synthesis - Reiber Method Revisited, John J. Halperin, Dane Granger

Department of Neurology Faculty Papers

BACKGROUND: CSF immunoglobulin (IgG) often informs diagnosis in CNS inflammatory disease- qualitatively (oligoclonal bands; OCBs), or quantitatively (CSF: serum IgG: albumin, e.g. IgG index). Most US laboratories estimate excess CSF IgG using linear models, most in Europe, Reiber's hyperbolic model - the latter often also incorporated into CSF pathogen-specific immunoreactivity calculations. We compared Reiber hyperbolic and linear approaches.

METHODS: Required data were available for 1,872 samples, Lyme-specific data for 1,365. We compared linear and Reiber's hyperbolic models to determine which better describes normal CSF: serum IgG/albumin, assessed correlations with OCBs using ROC analysis and compared Lyme-specific antibody indices (AI) by …

Global Burden Of Drug-Resistant Tuberculosis In Children: A Systematic Analysis For The Global Burden Of Disease Study, Xuhui Liu, Peierdun Mijiti, Lu Xia, Sylvia M Lacourse, Wulan Talafuhan, Alexander W Kay, Yang Yang, Huarui Liu, Dan Ye, Leonardo Martinez, Shuihua Lu, Adong Shen, Anna M Mandalakas, Feng Li, Christoph Lange, Zhen Huang

Faculty, Staff and Students Publications

Background: Paediatric tuberculosis (TB), particularly drug-resistant TB (DR-TB), is associated with significant mortality. However, the global burden of childhood TB remains poorly understood.

Methods: We analysed incident cases, deaths, and age-standardised incidence and mortality rates among children (0-14 years) with multidrug-resistant/rifampicin-resistant tuberculosis (MDR/RR-TB) and extensively drug-resistant tuberculosis (XDR-TB) using the Global Burden of Disease (GBD) 2021 database. Data were stratified by age, sex, region, country, and HIV/AIDS status. Annual and average annual percentage changes were assessed using joinpoint regression analysis. Secondary analyses compared adult and paediatric TB trends in the End TB era and evaluated the potential impact of the …

The Aggregated Latent Profile Index: Measuring Person Profile Differentiation Within A Bootstrap-Validated Latent Profile Space, Se-Kang Kim

Faculty, Staff and Students Publications

Multivariate assessment profiles contain two conceptually distinct sources of variation: overall level and profile shape. Existing approaches recover some aspects of this structure, but none jointly establishes the replicability of latent pattern dimensions and provides a principled, population-referenced summary of person profile differentiation independent of overall level. We introduce the Aggregated Latent Profile Index (ALPI), a variance-weighted Euclidean distance that quantifies the degree to which an individual’s profile departs from a flat population reference within a bootstrap-validated latent profile space. ALPI is derived from the Aggregated Latent Profile Space (ALPS), a framework that combines parallel analysis with bootstrap stability diagnostics …

An Exploration Of The Intersection Of Artificial Intelligence And Speech-Language Pathology -- Potential Impacts, Manish K. Rami

Internet Journal of Allied Health Sciences and Practice

Purpose: This paper explores the potential impact of Artificial Intelligence (AI) on the profession of Speech-Language Pathology (SLP). AI is widely recognized as a transformative force, presenting opportunities across both service delivery and professional practice in SLP. Method: The analysis employs the American Speech-Language-Hearing Association's  Scope of Practice in Speech-Language Pathology as an organizing framework to systematically evaluate AI applications across professional and service delivery domains. Within each domain, the study identifies emerging use cases, evaluates the capacity for AI technologies to automate or augment clinical processes, and examines broader implications for the profession, with particular attention to anticipated changes …

A Systematic Review Of Intrusion Detection Systems For Internet Of Medical Things: Performance, Efficiency, Explainability, And Generalization, Oswald Adohinzin, Youssef Harrath

Research & Publications

The Internet of Medical Things (IoMT) has transformed health care delivery through medical devices, remote patient monitoring, and real-time clinical decision support. However, the proliferation of IoMT devices introduces security vulnerabilities that put patient safety and data privacy at risk. Intrusion Detection Systems (IDS) have emerged as essential components for protecting IoMT networks from cyberattacks. This article presents a systematic review of IoMT-IDS research, analyzing 53 high-quality papers published between 2020 and 2025, identified through database searches spanning 2016–2025 across IEEE Xplore, Springer, ScienceDirect, and ACM Digital Library. We organize the literature through a comprehensive taxonomy spanning classical machine learning …

Social Media Is A Juggernaut: Lagged Correlation Analysis Using Ngram Data On “Internet” And “Social Media” With Amplification By The Advent Of The “Iphone”, William Zywiak, Gao Niu, Nicolas Petrell, Victoria Nichele, Kirsten Hokeness

Mathematics and Economics Faculty Journal Articles

The amount of new information transmitted per day can be overwhelming. The data available through Ngram Viewer allows statistical examination to determine the most salient topics, as well as lagged correlation and lagged variance to support possible causal connections between concepts. Using this database, we determined that COVID, crypto, microplastics, and especially social media are important topics of the last few years. We also present results that suggest the development of the internet and the iPhone fueled the prominence of social media, and the access of the iPhone also increased access to the internet.

Radiotheranostics For Gynecological Pathologies, Joni Sebastiano

Dissertations, Theses, and Capstone Projects

Molecular imaging, specifically positron emission tomography (PET), is vital for detecting disease and understanding its biological makeup. The exploitation of radiolabeled antibodies for PET imaging has proven to be indispensable to the field of molecular imaging over the last several decades. The development of radioimmunoconjugates for use in immunoPET has not only allowed for the sensitive, specific, and high-resolution detection of disease, but has also enabled a deeper understanding of the disease biology, ultimately guiding more personalized therapeutic strategies. Most typically, this technology is harnessed for the diagnosis and treatment of cancer, however more recently, the field has explored the …

Ppg-Sport: A Dataset For Reliable Heart Rate Monitoring From Wrist Ppg Under Dynamic Sports Conditions, Changshuo Hu, Hung Manh Pham, Yiming Zhang, Guanru Yan, Xiao Ma, Yuezhong Wu, Thivya Kandappu, Archan Misra, Dong Ma

Research Collection School Of Computing and Information Systems

Photoplethysmography (PPG) has become a cornerstone of physiological sensing in wearable devices, enabling non-invasive monitoring of heart rate and related biomarkers. However, its reliability deteriorates sharply under dynamic, high-intensity, or non-periodic motions such as those in sports, where existing datasets fail to capture realistic wrist dynamics. To address this gap, we introduce PPG-Sport, the first large-scale dataset designed for heart rate monitoring from wrist-worn PPG under real sports conditions. The PPG-Sport dataset includes synchronized PPG, inertial measurement unit (IMU), and electrocardiography (ECG) recordings from both wrists of 30 participants across six representative activities: stationary, walking, running, badminton, table tennis, and …

Investigation Of Warfarin–Human Serum Albumin Binding By Ultrafast Affinity Extraction Using Single- And Dual-Column Affinity Microcolumn Systems, Samiul Alim

Department of Chemistry: Dissertations, Theses, and Student Research

This dissertation examined the interaction of warfarin with human serum albumin (HSA) by using affinity chromatography, with particular emphasis on ultrafast affinity extraction (UAE) and affinity microcolumns. HSA affinity supports were prepared by immobilizing HSA onto diol-bonded silica via Schiff base chemistry and used to prepare affinity microcolumns for chromatographic studies under physiological-like conditions at pH 7.4 and 37.0 °C. UAE studies were performed to investigate the effects of residence time, flow rate, and column configuration on the measured apparent free fraction of warfarin and on the calculated apparent binding parameters. The results showed that the measured apparent free fraction …