Engineering Commons^™

Transformer-Based Symbolic Music Generation, Ben Buentello

Master’s Theses

This thesis investigates the capacity of transformer-based architectures to learn generalized musical patterns through symbolic generation. To support this exploration, a complete music generation pipeline was developed, beginning with the construction and classification of a large-scale dataset of over 170,000 MIDI files. The dataset was processed using rule-based heuristics and custom neural classifiers to separate tracks by musical function and contour. A novel tokenization scheme, MINTii, was introduced to encode musical information compactly through interval-based representations, reducing redundancy and promoting generalization. Using this infrastructure, a transformer model was trained to generate single-track melodic sequences. Its performance was evaluated through both …

Supercapacitors With Cotton Shell-Derived Activated Carbons And Porous Polymer Electrolyte Films, Saurabh Singh, Yulin Zhang, S. A. Hashmi, Fuqian Yang

Chemical and Materials Engineering Faculty Publications

Some of the well-known challenges in the field of supercapacitors (SCs), or more specifically, electrical double-layer capacitors (EDLCs), such as low energy density and high cost, have proven to be major barriers to their widespread market success despite having some excellent electrochemical merits such as high-power density and good cyclic stability. In this work, efforts have been made to overcome these gaps and eventually enhance the performance of EDLCs via a cost-effective and eco-friendly approach. To fabricate these EDLCs, a bio-waste, namely, cotton-shell-derived activated carbons (ZnACs) (activated with ZnCl2), was used in a mass ratio of 1 : 2 for …

Improvement Of Cellular Pattern Organization And Clarity Through Centrifugal Force, Lauren E. Mehanna, James D. Boyd, Shelley Remus-Williams, Nicole M. Racca, Dawson P. Spraggins, Martha E. Grady, Brad J. Berron

Chemical and Materials Engineering Faculty Publications

Rapid and strategic cell placement is necessary for high throughput tissue fabrication. Current adhesive cell patterning systems rely on fluidic shear flow to remove cells outside of the patterned regions, but limitations in washing complexity and uniformity prevent adhesive patterns from being widely applied. Centrifugation is commonly used to study the adhesive strength of cells to various substrates; however, the approach has not been applied to selective cell adhesion systems to create highly organized cell patterns. This study shows centrifugation as a promising method to wash cellular patterns after selective binding of cells to the surface has taken place. After …

Integrating Protein Language Model And Molecular Dynamics Simulations To Discover Antibiofouling Peptides, Ibrahim A. Imam, Shea Bailey, Duolin Wang, Shuai Zeng, Dong Xu, Qing Shao

Chemical and Materials Engineering Faculty Publications

Antibiofouling peptide materials prevent the nonspecific adsorption of proteins on devices, enabling them to perform their designed functions as desired in complex biological environments. Due to their importance, research on antibiofouling peptide materials has been one of the central subjects of interfacial engineering. However, only a few antibiofouling peptide sequences have been developed. This narrow scope of antibiofouling peptide materials limits their capacity to adapt to the broad spectrum of application scenarios. To address this issue, we searched for antibiofouling peptides in the vast sequence pool of the microbiome library using a combination of deep learning-based high-throughput search and molecular …

Clarifying The Role Of Η-Phase With Varying Chemistry On Localised Corrosion Of A Cu-Containing 7xxx Al-Alloy By Quasi-In-Situ Tem, S. K. Kairy, Y. Wu, S. Turk, A. Shekhter, Rudolph Buchheit, N. Birbilis

Chemical and Materials Engineering Faculty Publications

Quasi-in-situ transmission electron microscopy was employed to study dissolution associated with η-phase (Mg(Zn,Al,Cu)₂) precipitates in a Cu-containing 7xxx Al-alloy. Two distinct η-phase chemistries, with Cu to (Zn+Mg+Al) ratios ∼0.12 and ∼0.2, were studied in 0.01 M NaCl at pH 6 and 2. In near-neutral NaCl, both η-phase precipitates exhibited ‘duplex’ behaviour, i.e., they were primarily more noble with respect to the surrounding Al-matrix, causing matrix dissolution, and simultaneously established nanoscopic active sites within the noble precipitate itself by generating nanoscale pits. Conversely, η-phase precipitates rapidly dealloyed in acidic NaCl, forming nocrystalline Cu remnants containing twins, which subsequently caused …

Enhancing Intrinsic Ductility In Vnbmotaw High Entropy Alloy: A Combinatorial Investigation With Experimental Evaluation Of Theoretical Predictions, Taohid Bin Nur Tuhser, Ian Stewart Winter, Daryl Chrzan, Thomas John Balk

Chemical and Materials Engineering Faculty Publications

The application of refractory high entropy alloys (RHEAs) as engineering materials has been hindered by their poor inherent ductility. In this study, a novel approach combining thin film combinatorial screening with fragmentation testing was employed to identify intrinsically ductile alloy compositions. Inspired by the physics-based intrinsic ductility parameter, the ‘χ-parameter,’ we investigated the replacement of group VI elements (W/Mo) with group V elements (V, Nb, Ta) in the VNbMoTaW system. Conventional combinatorial analyses, including composition, phase, and hardness assessments, were conducted across a wide range of non-equiatomic configurations. The results revealed a broad compositional space favoring a single-phase body-centered cubic …

Neurotensin Regulates Primate Ovulation Via Multiple Neurotensin Receptors, Andrew C. Pearson, Jessica S. Miller, Hannah J. Jensen, Ketan Shrestha, Thomas E. Curry Jr., Diane M. Duffy

Department of Biomedical and Translational Sciences Faculty Publications

Neurotensin (NTS), a small neuropeptide, was recently established as a key paracrine mediator of ovulation. NTS mRNA is highly expressed by granulosa cells in response to the luteinizing hormone (LH) surge, and multiple NTS receptors are expressed by cells of the ovulatory follicle. To identify the role of NTS receptors NTSR1 and SORT1 in ovulation in vivo, the dominant follicle of cynomolgus macaques (Macaca fascicularis) was injected with either vehicle control, the general NTS receptor antagonist SR142948, the NTSR1-selective antagonist SR48692, or the SORT1-selective antagonist AF38469. Human chorionic gonadotropin (hCG) was then administered to initiate ovulatory events. …

Enhancing Trust In Ai For Healthcare: A Quantative Evaluation Of Explainable Methods In Clinical Decision Support Systems, Abdul Aziz Noor

Masters

The integration of Artificial Intelligence (AI) into healthcare has revolutionized Clinical Decision Support Systems (CDSS) by enabling sophisticated predictive capabilities. However, the opaque nature of many machine learning models, commonly referred to as "black-box" systems, poses significant challenges to their adoption in critical clinical settings where transparency, interpretability, and trust are paramount. This thesis addresses these challenges by developing a rigorous, mathematically grounded framework to evaluate Explainable AI (XAI) methods and enhance their integration into CDSS.

Enhancement Of Intersystem Crossing In Asymmetrically Substituted Bodipy Photosensitizers, Mikhail Filatov, Tatsiana Mikulchyk, Maxine Hodee, Metodej Dvoracek, Venkata N.K. Mamillapalli, Aimee Sheehan, Craig Newman, Sergey M. Borisov, Daniel Escudero, Izabela Naydenova

Articles

We present a novel method to promote intersystem crossing (ISC) and triplet state formation in boron dipyrromethenes (BODIPYs) through the asymmetrical introduction of functional groups within the chromophore. This approach enables the development of new BODIPY photosensitizers without relying on the incorporation of heavy atoms or large electron-donating aromatic groups. Demonstrated on a series of 14 synthesized asymmetrical BODIPY (aBDP) compounds, it significantly enhances photosensitization efficiency compared to the reference symmetrical BODIPYs. In particular, the asymmetrical introduction of ethoxycarbonyl groups into pyrrolic rings of the BODIPY core lead to efficient ISC and singlet oxygen generation, with quantum yields reaching 0.76 …

Pan-Caribbean Airlines: Unlocking Regional Aviation Potential, Dimitrios V. Siskos, Alexander Maravas, Jordan Karatzas

Publications

The Caribbean's air transport system is facing significant challenges, including operational fragmentation, excessive costs, and inadequate inter-island connectivity. These challenges limit its ability to support the region’s heavily tourism-dependent economies. This research evaluates whether consolidating small Caribbean airlines into a single or virtual Pan-Caribbean carrier could transform regional air travel. Based on financial analysis, historical traffic data, and case comparisons with airline mergers in South America and the US, the paper simulates the anticipated efficiencies resulting from route consolidation, fleet standardization, and common operational services. The research concludes that consolidation may create a regional GDP impact of up to $3.3 …

A Pathway To Completion: Student Veterans Pursuing Engineering Degrees, Kim E. Bullington, Cynthia L. Tomovic, Anthony W. Dean, Vukica Jovanovic

Educational Leadership & Workforce Development Faculty Publications

This 5‐year research project was based on an NSF S‐STEM research grant (1742118) focused on student veteran education and workforce preparation. We addressed STEM workforce and defence community needs by providing targeted scholarships and support for veteran students pursuing engineering degrees. Our aim was to enhance the workforce by improving access and success rates through financial and institutional support, while developing evidence‐based practices for recruitment, retention and graduation of student veterans. Through targeted interventions, we examined obstacles student veterans face in education and in engineering programs and increased their sense of camaraderie, career awareness, engineering identity, professional development, financial security …

Understanding Roof Systems Of Metal Buildings, Michael W. Seek, Vincent E. Sagan

Engineering Technology Faculty Publications

[Introduction] A metal building is a system with complex behavior that, when properly accounted for, provides an efficient structural solution. To help the engineer properly design for this behavior, the Metal Building Manufacturers (MBMA) has recently released the Roof Framing Design Guide for Metal Building Systems, 2nd Edition (Roof Framing Design Guide).

Engagement In Practice: Partnering With Communities To Address Nuisance Flooding Challenges, Carol L. Considine, Mujde Erten-Unal, Dalya Ismael, Luka Alandra Hamal-Serenity, Farzaneh Soflaei

Engineering Technology Faculty Publications

Many communities are already experiencing the impacts of climate change that disrupt their daily lives. In Coastal Virginia, these impacts take the form of nuisance and stormwater flooding caused by sea level rise and changes in precipitation. Coastal Virginia has one of the highest relative sea level rise rates on the Atlantic Coast and the regional planning district commission recommends that Atlas 14 rainfall intensity, duration, and frequency curves be increased by 20% to account for changes in rainfall. The Coastal Community Design Collaborative (CCDC), a partnership between Hampton University Architecture and Old Dominion University Engineering & Technology, has had …

Ambulatory Arterial Stiffness Index: Regression Method Comparison And Its Association With Pulse Pressure And Circadian Patterns, José R. Ayala-Hernández, Cristina López-Sánchez, Orlando M. Ayala, Camilo E. Palencia-Tejedor

Engineering Technology Faculty Publications

The Arterial Stiffness Index (AASI) is a calculation obtained through Ambulatory Blood Pressure Monitoring (ABPM), and is an indirect measure of the elastic properties of the arterial wall; but there is heterogeneity in its scope as a predictor of vascular wall health. A comparison is made between linear regression and exponential regression of the AASI, as well as an analysis of variance, according to circadian patterns and pulse pressure (PP) values. This work is an analytical observational study in 106 individuals, most of them women (63%) with a mean age of 53 ± 17.32 years. The coefficient of determination (r2) …

From Equitable Access To Equitable Usage: Moving Towards Data-Driven, Evidence-Based Cycling Assets Management, Kewei Ren, Yunping Liang, Chun-Hsing Ho

Durham School of Architectural Engineering and Construction: Faculty Publications

Cycling is increasingly recognized for its wide range economic, environmental, and health benefits as a mobility option. However, disparities in the provision and the quality of bicycle infrastructure persists. Ensuring fair access and usage of these benefits for all presents a significant challenge. As a result, establishing effective methodologies to evaluate cycling equity is critically important. This paper synthesizes research on infrastructure asset management with a focus on equity considerations in bicycle infrastructure. A systematic review of 19 North American studies critically examines how existing research categorizes vulnerable populations and assesses fairness. The results reveal that most existing analyses focus …

Leveraging Transformer-Based Ocr Model With Generative Data Augmentation For Engineering Document Recognition, Wael Khallouli, Mohammad Shahab Uddin, Andres Sousa-Poza, Jiang Li, Samuel Kovacic

Engineering Management & Systems Engineering Faculty Publications

The long-standing practice of document-based engineering has resulted in the accumulation of a large number of engineering documents across various industries. Engineering documents, such as 2D drawings, continue to play a significant role in exchanging information and sharing knowledge across multiple engineering processes. However, these documents are often stored in non-digitized formats, such as paper and portable document format (PDF) files, making automation difficult. As digital engineering transforms processes in many industries, digitizing engineering documents presents a crucial challenge that requires advanced methods. This research addresses the problem of automatically extracting textual content from non-digitized legacy engineering documents. We introduced …

Gold Nanoparticle-Enhanced Molecularly Imprinted Polymer Electrode For Non-Enzymatic Lactate Sensing, Christopher Animashaun, Abdellatif Ait Lahcen, Gymama Slaughter

Center for Bioelectronics Publications

We are reporting the development of a high-performance, non-enzymatic electrochemical biosensor for selective lactate detection, integrating laser-induced graphene (LIG), gold nanoparticles (AuNPs), and a molecularly imprinted polymer (MIP) synthesized from poly(3,4-ethylenedioxythiophene) (PEDOT). The LIG electrode offers a highly porous, conductive scaffold, while electrodeposited AuNPs enhance catalytic activity and signal amplification. The PEDOT-based MIP layer, electropolymerized via cyclic voltammetry, imparts molecular specificity by creating lactate-specific binding sites. Cyclic voltammetry confirmed successful molecular imprinting and enhanced interfacial electron transfer. The resulting LIG/AuNPs/MIP biosensor demonstrated a wide linear detection range from 0.1 µM to 2500 µM, with a sensitivity of 22.42 µA/log(µM) and …

Molecular Imprinting And Nanomaterial Synergy For Lactate Detection, Christopher Animashaun, Gymama Slaughter

Center for Bioelectronics Publications

Molecularly imprinted polymer (MIP)-based electrochemical sensors have emerged as promising non-enzymatic platforms for the selective and stable detection of clinically and environmentally relevant biomarkers. This review provides a critical, comprehensive analysis of recent advances in MIP-based lactate sensing, with particular emphasis on hybrid systems that integrate conductive nanomaterials including gold and silver nanoparticles, laser-induced graphene, and reduced graphene oxide. These synergistic combinations leverage enhanced surface area, electrical conductivity, and molecular recognition to improve sensor sensitivity, selectivity, and long-term operational stability. Key fabrication strategies, such as electropolymerization, green nanomaterial synthesis, and surface imprinting, are critically examined for their roles in optimizing …

Fabrication Of Thylakoid Membrane-Based Photo-Bioelectrochemical Bioanode For Self-Powered Light-Driven Electronics, Amit Sarode, Gymama Slaughter

Center for Bioelectronics Publications

The transition toward sustainable and decentralized energy solutions necessitates the development of innovative bioelectronic systems capable of harvesting and converting renewable energy. Here, we present a novel photo-bioelectrochemical fuel cell architecture based on a biohybrid anode integrating laser-induced graphene (LIG), poly(3,4-ethylenedioxythiophene) (PEDOT), and isolated thylakoid membranes. LIG provided a porous, conductive scaffold, while PEDOT enhanced electrode compatibility, electrical conductivity, and operational stability. Compared to MXene-based systems that involve complex, multi-step synthesis, PEDOT offers a cost-effective and scalable alternative for bioelectrode fabrication. Thylakoid membranes were immobilized onto the PEDOT-modified LIG surface to enable light-driven electron generation. Electrochemical characterization revealed enhanced redox …

Cfd Analysis Of Hydrodynamic Cavitation Through An Orifice: Influence Of Different Inlet Pressures And Number Of Orifice Holes, Lemthong Chanphavong, Vongsavanh Chanthaboune, Keophousone Phonhalath

ASEAN Journal on Science and Technology for Development

Hydrodynamic cavitation (HC) is considered an energy-efficient process with high potential for utilization in many chemical processes. This study presents a computational fluid dynamics (CFD) analysis of cavitating flow through an orifice with a constant flow area. The Reynolds-Averaged Navier-Stokes (RANS) equations, coupled with turbulence and cavitation models, are employed to capture the complex flow behaviors. The effects of inlet pressures and number of orifice-holes on cavitation behavior are investigated. Result of the numerical simulation is validated with the existing experimental data from the literature. The CFD study revealed that cavitation initiates just behind the inlet edge of the orifice …

Impact Of Color, Shape, And Typeface On Visual Attention: An Eye Tracking Study On Brand Logo, Suzayana Rosidah, Fransiskus Xaverius Ivan, Suatmi Murnani, Hafzatin Nurlatifa, Kristian Adi Nugraha, Sunu Wibirama

ASEAN Journal on Science and Technology for Development

In numerous cases, companies undertake logo redesigns to enhance brand perception. However, little attention has been paid to the impact of each element of the redesigned logo on visual attention and brand perception. To address this research gap, we collected data from eye tracking and self-report questionnaires of 30 participants during exposure to the old and new logos of a prominent bookstore in Indonesia. The results of the questionnaires revealed a significant relationship between the responses concerning color, shape, typeface, and those pertaining to visual attention (p < 0.05). Most participants were able to grasp the value of creativity, flexibility, progress, change, and strength in the new logo shape. The results of eye tracking show that color was the most influential factor that attracted visual attention in old (F(1.5, 43.4) = 14.905, p < 0.05) and new logos (F(1.7, 50) = 34.757, p < 0.05). This study suggests that companies should selectively choose a color scheme of a logo that better attracts the attention of consumers. In addition, our finding is promising as a practical guide for similar research, as well as a case study on how logo redesign affects brand perception and visual attention.

Distance Metric Learning Techniques For The Performance Improvement Of Ml-Knn And Ranking-Svm-Based Multi-Label Pattern Classification, Shajee Mohan B. S., Sneha S Mohan

ASEAN Journal on Science and Technology for Development

A multi-label pattern classification system tries to predict the set of class labels of a test example by learning from the training examples with the relevant label sets. Classification that involve datasets having multiple labels found immense of applications in pattern analysis tasks involving image, music and video. A test sample can be labeled to indicate different objects, people, music categories or concepts. Classification problems involving data having multiple labels, have to consider training dataset associated with variety of labels. Multi-label extensions of popular algorithms, kNN and Support Vector Machine (SVM) called Multi-label kNN (ML-kNN) and Ranking-SVM are commonly used …

Exploring Dynamics And Effective Strategies For Tidal Flood Risk Reduction In Indonesia's Coastal Cities, Satria Yudha Adhitama, Diana Puspitasari, Lucia Sandra Budiman, Azis Musthofa

ASEAN Journal on Science and Technology for Development

Indonesia’s coastal regions have distinct charateristics. However, nearly all of these coastal regions are vulnerable to tidal floods. The purpose of this study is to determine the features of coastal regions in Indonesia that have been damaged by tidal floods, as well as the actions implemented to mitigate disaster risk. Thus study takes a qualitiative method with explanatory analysis. The Island Spatial Planning is used to classify Indonesia’s archipelagic regions.An urban area vulnerable to tidal flood was selected from each archipelagic region. The characteristics of coastal regions affected by tidal flood were identified by the tidal flood characteristics, coastal physiography. …

Wind Speed Forecasting: A Comparative Study Of Decomposition Techniques, Manisha Galphade, V.B. Nikam, Nilkamal More, Biplab Banerjee, Arvind W. Kiwelekar, Priyanka Sharma

ASEAN Journal on Science and Technology for Development

Renewable energy is sourced from natural resources that are continually available. Wind energy is a main category of renewable energy, which largely depends on wind speed. Accurate wind speed forecasting is essential for incorporating renewable energy into the electrical grid. Moreover, it is crucial to ensure the safety of wind turbines by anticipating extreme weather conditions and implementing necessary precautions. Predicting wind speed presents several challenges because of dynamic and complex nature of atmospheric conditions. Traditional methods for wind speed forecasting, such as statistical models and basic physical approaches, often face limitations in accuracy, flexibility, and handling of complex data …

Improving Ethanol Purity By Methanol Adsorption Using Mcm-41: A Study Of Kinetics And Thermodynamics For Industrial Applications, Ali A. Yahya, Nisreen S. Ali, Basma B. Hameed, Talib M. Albayati, Issam K. Salih, Riyadh S. Almukhtar, Narges Elmi Fard

ASEAN Journal on Science and Technology for Development

One of the by-products of the fermentation process that produces ethanol, which is mostly utilized in industry and food, is methanol. For methanol adsorption in batch operations, mixed amines modified (MCM-41) was utilized. A batch adsorption technique loaded with MCM-41 sorbent was used in the study to separate methanol from ethanol. This study used methanol at varying initial concentrations (40-80 mg/L). As a result, the effect of temperature, duration of adsorption, amount of adsorbent and initial concentration of pollutant in the field of ethanol alcohol purification using MCM-41 was investigated through the adsorption mechanism. In addition, first and pseudo-second order …

Editorial: A Decade Of Apasti – Advancing Regional Prosperity Through Science, Technology And Innovation, Basilios Tsikouras

ASEAN Journal on Science and Technology for Development

A decade after its establishment, APASTI has emerged as a key regional mechanism for promoting science, technology and innovation as drivers of sustainable development, resilience, and shared prosperity in Southeast Asia. This editorial highlights the contributions of APASTI to policy alignment, knowledge exchange, research visibility, and collaborative network-building across ASEAN, while also acknowledging ongoing constraints related to governance, capacity, funding disparities, and uneven regional integration. It introduces a special issue of 14 papers published in AJSTD that collectively evaluate the implementation and impact of APASTI across diverse sectors, including geohazards, energy, materials, health, infrastructure, transport, and information systems. By positioning …

Modeling Ion-Specific Effects In Polyelectrolyte Brushes: A Modified Poisson-Nernst-Planck Model, William J. Ceely, Marina Chugunova, Ali Nadim, James D. Sterling

Business and Information Technology Faculty Research & Creative Works

Polyelectrolyte brushes consist of a set of charged linear macromolecules, each tethered at one end to a surface. An example is the glycocalyx which refers to hair-like negatively charged sugar molecules that coat the outside membrane of all cells. We consider the transport and equilibrium distribution of ions and the resulting electrical potential when such a brush is immersed in a salt buffer containing monovalent cations (sodium and/or potassium). The Gouy-Chapman model for ion screening at a charged surface captures the effects of the Coulombic force that drives ion electrophoresis and diffusion but neglects non-Coulombic forces and ion pairing. By …

The Antibiofilm Efficacy Of Copper And Zinc-Enhanced Borate Bioactive Glasses On Polymicrobial Biofilms, Sarah Fakher, David J. Westenberg

Biological Sciences Faculty Research & Creative Works

Healthcare-acquired infections (HAIs) are a significant global challenge driven by biofilm-forming pathogens. Polymicrobial biofilms, involving interactions between multiple microbial species, exacerbate treatment difficulties due to their enhanced resistance to antimicrobial therapies. Borate bioactive glasses (BBGs) are an emerging class of biomaterials that have attracted significant interest in infection control. The incorporation of copper and zinc into the BBG matrix can effectively disrupt biofilm formation and bacterial colonization. This study investigates the antibiofilm efficacy of copper and zinc-doped BBGs against polymicrobial biofilms formed by S. epidermidis, E. coli, and P. aeruginosa. Using static and dynamic biofilm models, BBGs were applied through …

Online Parameter Adaptation Of Lqr Controllers Via Rls For Prosthetic Joint Control: Experimental Validation On A Quanser Qube-Servo 2 Platform, Cynthia Lopez-Jordan

Theses and Dissertations

This thesis develops and experimentally validates an online adaptive Linear Quadratic Regulator (LQR) control method for prosthetic joint systems using Recursive Least Squares (RLS)-based real-time parameter estimation on the Quanser QUBE-Servo 2 platform. Traditional LQR controllers assume a fxed system model, which limits adaptability and results in reduced tracking accuracy, poor robustness, and loss of optimal performance when applied to dynamically changing prosthetic joints, infuenced by load variations, user gait changes, and mechanical wear. Limited experimental validation exists for combining RLS with online LQR adaptation in prosthetic-like systems.

To address these limitations, an RLS-driven Adaptive LQR framework was implemented to …

Nanotube Spectral Fingerprinting And Machine Learning For Optimized Bioimaging/Sensing And Disease Detection Applications In Als, Rodrigo Monroy Lopez

Open Access Master's Theses

Single-walled carbon nanotubes (SWCNTs) possess unique physicochemical and optical properties that make them ideal candidates for biomedical imaging, biosensing, and disease diagnostics. This thesis explores the potential of SWCNT-based spectral fingerprinting combined with ML (Machine Learning) algorithms to optimize bioimaging, disease detection and prediction, with a specific focus on differentiating between healthy and amyotrophic lateral sclerosis (ALS) lymphoblastic patient samples. By functionalizing SWCNTs with single-stranded DNA, we enhance their stability and target specificity, enabling their application in serum patient samples.

A comprehensive spectral analysis of DNA-SWCNTs was conducted using near-infrared fluorescence spectroscopy and other characterization techniques, including UV-Vis-absorption spectroscopy. The …