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Development Of An Adaptive Pelican Crossing Model Using Fuzzy Logic In Mixed Traffic Conditions, Manazil Adam, Andyka Kusuma, R. Jachrizal Sumabrata Jun 2026

Development Of An Adaptive Pelican Crossing Model Using Fuzzy Logic In Mixed Traffic Conditions, Manazil Adam, Andyka Kusuma, R. Jachrizal Sumabrata

Smart City

Traffic management at at-grade pedestrian crossing facilities (pelican crossings) in highly populated areas, such as the Universitas Indonesia Station, faces significant inefficiency challenges. During peak hours, the fixed-time system is frequently disabled and replaced with subjective manual control by security personnel, thereby triggering irregular stop-and-go cycles and a high accumulation of vehicle delays. This study aims to develop a hybrid adaptive control model integrating Computer Vision, Genetic Algorithm (GA), and Fuzzy Logic to optimize intersection performance under mixed traffic conditions. The research methodology begins with the extraction of traffic and pedestrian characteristic data, calculated manually through recorded field observations. This …

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Spatial Tax Intelligence: Implementing Integrated Spatial Decision Support Systems For Smart Urban Governance, Wildan R. Irfana, Haldis A. Bahar, Muhammad H. Candra Jun 2026

Spatial Tax Intelligence: Implementing Integrated Spatial Decision Support Systems For Smart Urban Governance, Wildan R. Irfana, Haldis A. Bahar, Muhammad H. Candra

Smart City

The transition toward smart governance requires local governments to adopt data-driven policy approaches, particularly in managing urban tax capacity. However, tax administration in many developing regions remains predominantly tabular and administrative, limiting the ability to capture the spatial dynamics of economic activities. This reveals a critical knowledge gap, as integrated frameworks combining spatial and tax data to identify geographic disparities in tax performance remain limited. Consequently, areas with high economic activity but low tax compliance, referred to as tax blind spots, often remain undetected. This study aims to analyze the effectiveness of integrating spatial and tax data in identifying spatial-tax …

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Kernelizing Protein Interaction Languages: Spectral Approximations And Random Fourier Features, Aishik Ghosh Jun 2026

Kernelizing Protein Interaction Languages: Spectral Approximations And Random Fourier Features, Aishik Ghosh

Master’s Dissertations

Protein-peptide interactions play an important role in many biological phenomena, spanning adaptive immunity to disease pathology. In the Sliding Window Interaction Grammar (SWING) framework, interactions are represented as sequences of biochemical tokens embedded using Doc2Vec, allowing robust generalisation to unobserved MHC alleles. However, classification remains limited to a single Euclidean feature space that is incapable of resolving binding landscapes. This dissertation develops SWING for four distinct kernel types: Gaussian, Laplacian, anisotropic (ARD), and the Spectral Mixture (SM) kernel, each approximated using scalable Random Fourier Features. The SM kernel incorporates prior knowledge about secondary structure into its spectral density as biological …

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Gertrude, A Woman Set Apart: Chosen Beyond Expectation In Polarized Womanhood, Jessica Lorriane Weatherford Mattison Jun 2026

Gertrude, A Woman Set Apart: Chosen Beyond Expectation In Polarized Womanhood, Jessica Lorriane Weatherford Mattison

Masters Theses

This thesis introduces the artistic vision and research that guide Forever Skies. The text examines the political and personal landscapes that shape Gertrude, the historical realities of the WASP program, and the feminist frameworks that illuminate how women navigated gender, war, and expectation. In weaving these elements together, the goal is not merely to resurrect one woman’s incredible story, but to honor the nearly forgotten history of a generation of pilots. Through creative interpretation and scholarly inquiry, this project seeks to reclaim a legacy still suspended in the wide, forever sky that once held her, the WASP, and her forever …

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Intelligent Temperature And Humidity Control System For Daqu Fermentation Rooms Using Smith Predictor-Based Fuzzy Pid, Yang Haili, Liao Xilong, Liu Sai, Hu Xinjun, Li Lan, Xie Liangliang, Chen Shan, Fei Lei Jun 2026

Intelligent Temperature And Humidity Control System For Daqu Fermentation Rooms Using Smith Predictor-Based Fuzzy Pid, Yang Haili, Liao Xilong, Liu Sai, Hu Xinjun, Li Lan, Xie Liangliang, Chen Shan, Fei Lei

Food and Machinery

［Objective］ To address the strong delay and nonlinearity in the Daqu fermentation process.［Methods］ This study proposes a coordinated control strategy combining a Smith predictor and fuzzy proportional -integral -derivative (PID). By establishing a mathematical model of the fermentation process, the Smith predictor is used to compensate for the delay. Combined with fuzzy rules, the PID parameters are tuned online, achieving precise control of temperature and humidity.［Results］ Compared with traditional and fuzzy PID control, the temperature overshoot is reduced by 23.3% and 4.7%,respectively,while the adjustment time is shortened by 15.81% and 11.53%,respectively. For humidity, the overshoot is reduced by 31.4% and …

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Design And Test Analysis Of Automatic Disemboweling Device For Chilled Fresh Duck Carcasses, Wang Yuhao, Bai Zongchun, Zhao Shida, Liu Yunping, Zheng Hao Jun 2026

Design And Test Analysis Of Automatic Disemboweling Device For Chilled Fresh Duck Carcasses, Wang Yuhao, Bai Zongchun, Zhao Shida, Liu Yunping, Zheng Hao

Food and Machinery

［Objective］ To solve the problems of low automation level and high labor intensity in the disemboweling process of the current meat duck slaughtering and processing technology.［Methods］ With chilled fresh duck carcasses as the research object, an automatic disemboweling device for chilled fresh duck carcasses was created by simulating the existing manual disemboweling method. A special disemboweling tool was designed. Mathematical analysis was used to conduct motion analysis and spatial curve fitting of the disemboweling action of the tool, so as to obtain the characteristic equation and analyze the rationality of the design of the duck carcass disemboweling tool. In addition, …

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Data-Driven Electrochemistry Reveals The Impact Of Hydrophobicity On Aptamer Cross-Reactivity, Emily Carroll, Michael A. Pence, Elizabeth Winterholler, Taylor D. Sparks, Shelley D. Minteer Jun 2026

Data-Driven Electrochemistry Reveals The Impact Of Hydrophobicity On Aptamer Cross-Reactivity, Emily Carroll, Michael A. Pence, Elizabeth Winterholler, Taylor D. Sparks, Shelley D. Minteer

Chemistry Faculty Research & Creative Works

Electrochemical aptamer-based (E-AB) biosensors offer a promising platform for reagentless detection of molecular targets, yet aptamer recognition can be limited by cross-reactivity, particularly for hydrophobic analytes such as steroid hormones. To investigate how cross-reactivity influences E-AB sensor performance, we use automation and machine learning to screen a library of possible interferent molecules against a steroid-binding aptamer, with progesterone serving as a physiologically relevant test case. Here, we develop a label-free E-AB sensor for progesterone detection using a methylene blue-modified aptamer anchored with a hexanethiol linker. We then used an automated electrochemistry platform to perform reproducible and high-throughput characterization of our …

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Main-Chain Ion-Pair Polybenzimidazole Membranes Enabling Reduced-Temperature Ht-Pemfc Operation (Down To 120°C), Brian C. Benicewicz, Huina Lin Jun 2026

Main-Chain Ion-Pair Polybenzimidazole Membranes Enabling Reduced-Temperature Ht-Pemfc Operation (Down To 120°C), Brian C. Benicewicz, Huina Lin

Faculty Publications

Proton exchange membrane (PEM) fuel cells are promising for clean and efficient energy conversion across diverse applications. High-temperature PEM fuel cells (HT-PEMFCs) using phosphoric acid (PA)-doped polybenzimidazole (PBI) can operate up to 200°C, but at lower temperatures, water-induced PA loss often leads to performance degradation and reduced durability. In this work, we present a new class of main-chain ion-pair PBI membranes by integrating the imidazolium-biphosphate ion-pair units directly into the PBI backbone. This design results in membranes with high acid content, stronger acid-polymer interactions and stabilized acid retention. In single-cell tests, the Im+-PBI15-3 wt.% exhibits peak power densities of 0.79 …

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Examining The Effect Of Assistant-Centered Peer Interventions On Student Belonging And Academic Performance In Introductory Physics And Introductory Astronomy College Courses, Shiva Basir Jun 2026

Examining The Effect Of Assistant-Centered Peer Interventions On Student Belonging And Academic Performance In Introductory Physics And Introductory Astronomy College Courses, Shiva Basir

Dissertations

Physics education research (PER) plays an important role in improving teaching strategies and student outcomes in STEM education. This study examined relationships among academic preparedness, sense of belonging, and academic performance in introductory physics and introductory astronomy courses at the University of Missouri–St. Louis (UMSL). Diagnostic assessments, belonging surveys, and academic performance measures were used across multiple instructional phases. The study also explored the implementation of assistant-centered peer interventions model, targeted math reviews, and motivational starts designed to support student engagement and belonging. Findings suggested meaningful relationships among belonging, confidence, and academic performance, while highlighting the importance of supportive instructional …

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Student Worksheets Based On The Local Wisdom Of Besilek Serawai For Sixth-Grade Elementary Science Learning, Mice Agustin, Tomi Hidayat, Irwandi Irwandi Jun 2026

Student Worksheets Based On The Local Wisdom Of Besilek Serawai For Sixth-Grade Elementary Science Learning, Mice Agustin, Tomi Hidayat, Irwandi Irwandi

Jurnal Pendidikan Sains

This study aims to develop a Student Worksheet (Lembar Kerja Peserta Didik [LKPD]) based on the local wisdom of Besilek Serawai for sixth-grade elementary science education and to evaluate its validity. The study employed the ADDIE development model, consisting of five stages: Analyze, Design, Develop, Implement, and Evaluate. The developed LKPD integrates Besilek Serawai, a traditional martial art of the Seluma community, with the concept of the human locomotor system in science instruction. The worksheet was validated by two subject-matter experts and two media experts. Material validation yielded an average score of 4.26, equivalent to a validity percentage of 85.2%, …

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You Mean What? Commognitive Conflict In Resolving Contextual Logarithm Problems, Endrayana Putut Laksminto Emanuel, Fatkul Anam, Radhitya Duta Pradana, Anik Kirana, Sikky El Walida Jun 2026

You Mean What? Commognitive Conflict In Resolving Contextual Logarithm Problems, Endrayana Putut Laksminto Emanuel, Fatkul Anam, Radhitya Duta Pradana, Anik Kirana, Sikky El Walida

Jurnal Pendidikan Sains

Students’ approaches to solving contextual mathematics problems involving logarithms vary significantly due to differences in their prior mathematical understanding. These differences may trigger commognitive conflict during the interpretation and reasoning processes when students attempt to construct mathematical meaning from contextual situations. This qualitative study aimed to explore how commognitive conflict emerges as a mechanism of mathematical interpretation in students’ discourse while solving logarithmic contextual problems. Twenty students participated in the study and were grouped based on their performance. One student was selected as the main research subject for an in-depth analysis. The findings reveal that commognitive conflict appeared in two …

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Ai-Based Metacognitive Tutoring And Its Role In Enhancing Higher-Order Thinking Skills In Biology Learning: A Conceptual And Correlational Study, Ririn Mardiana Saputri, Sekar Juang Adilia Pantarei, Widi Purwianingsih Jun 2026

Ai-Based Metacognitive Tutoring And Its Role In Enhancing Higher-Order Thinking Skills In Biology Learning: A Conceptual And Correlational Study, Ririn Mardiana Saputri, Sekar Juang Adilia Pantarei, Widi Purwianingsih

Jurnal Pendidikan Sains

Higher-order thinking skills (HOTS) are essential competencies in biology learning, yet many students continue to struggle with engaging in analytical, evaluative, and reflective thinking processes during science instruction. This study examines the role of AI-based metacognitive tutoring in supporting the development of HOTS in biology education. Employing a conceptual and correlational research design, this study integrates theoretical analysis with empirical correlational data collected from 85 senior high school students in Lombok, Indonesia. Metacognitive awareness was measured using the Metacognitive Awareness Inventory (MAI), while higher-order thinking skills were assessed using a validated biology HOTS instrument. The findings indicate a strong positive …

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The Effect Of Project-Based Learning Model On Entrepreneurship (Pjbl-E) With A Deep Learning Approach On Students' Problem-Solving And Cognitive Skills, Ricce Oktasari, Irwandi Irwandi, Siti Darwa Suryani Jun 2026

The Effect Of Project-Based Learning Model On Entrepreneurship (Pjbl-E) With A Deep Learning Approach On Students' Problem-Solving And Cognitive Skills, Ricce Oktasari, Irwandi Irwandi, Siti Darwa Suryani

Jurnal Pendidikan Sains

This study aims to examine the effect of the Entrepreneurship-based Project Based Learning (PjBL-E) model integrated with a pedagogical Deep Learning approach on students’ problem-solving skills and cognitive learning outcomes in biology learning. The novelty of this study lies in the integration of entrepreneurship values and pedagogical deep learning principles into Project Based Learning to create contextual and meaningful learning experiences. Entrepreneurship integration encourages students to develop innovative products, identify real-world problems, and apply biological concepts in practical and socio-economic contexts. Meanwhile, the pedagogical Deep Learning approach promotes reflective thinking, conceptual understanding, critical analysis, and the ability to connect theory …

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The Relationship Between Musical Aptitude And Multiple Intelligences In High School Music Students, Rachel Connor Jun 2026

The Relationship Between Musical Aptitude And Multiple Intelligences In High School Music Students, Rachel Connor

Masters Theses

This quantitative correlational study examines the relationship between musical aptitude, measured by Edwin Gordon’s GIA assessments, and students’ predominant multiple intelligences (MIs), as defined by Howard Gardner. Although MI has been widely researched, little is known about how intelligence strengths relate specifically to musically adept students. High school music students at Fayetteville Christian School in Fayetteville, NC, were first assessed using the GIA to identify those demonstrating musical aptitude. Eligible students then completed the AMI R/ARCH Profile to determine their strongest MI. A correlational analysis examined whether specific intelligence strengths are commonly associated with musical aptitude. Grounded in Gardner’s MI …

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Learning In Infants Using Intrinsically Motivated Goal Conditioned Reinforcement Learning, T I Darsan Jun 2026

Learning In Infants Using Intrinsically Motivated Goal Conditioned Reinforcement Learning, T I Darsan

Master’s Dissertations

Traditional artificial intelligence models learn by passively digesting large datasets. In contrast, human infants discover skills by actively interacting with their bodies and environments without explicit external rewards. This thesis introduces the Composer Architecture, a machine learning framework designed to mimic this autonomous, open-ended development. The Composer architecture operates in a multi-stage loop, the latent model using Contrastive Learning Through Time (CLTT) to compress high-dimensional raw data from visual, proprioceptive, and touch sensors into a low-dimensional space. To preserve data relationships and prevent topological collapse, a Softmax activation forces these latent representations to lie smoothly on a probability simplex. A …

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Design And Evaluation Of A Code-Switching-Aware Multilingual Conversational Ai System Using Advanced Rag Architectures, Ashutosh Juvale Jun 2026

Design And Evaluation Of A Code-Switching-Aware Multilingual Conversational Ai System Using Advanced Rag Architectures, Ashutosh Juvale

Master’s Dissertations

Conversational artificial intelligence has become the primary interface through which hundreds of millions of users in India seek information and customer support. Yet the way these users actually write and speak is fundamentally at odds with the monolingual assumptions baked into most retrieval and generation systems: they code-switch, fluidly mixing one or more of the twenty-two scheduled languages of India with English, frequently typing Indic words in the Roman script ("mera refund kab tak aayega"). Standard Retrieval-Augmented Generation (RAG) pipelines silently fail on such input — the retriever returns off-topic passages because the query and the knowledge base live in …

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An Efficient Hierarchical Deployment Of Sensors For K-Coverage In Planner Wireless Sensor Network, Abhay Raj Singh Jun 2026

An Efficient Hierarchical Deployment Of Sensors For K-Coverage In Planner Wireless Sensor Network, Abhay Raj Singh

Master’s Dissertations

Ensuring reliable sensing coverage is a fundamental challenge in wireless sensor networks (WSNs), particularly when multiple sensors are monitoring each location to provide robustness against node failures. In this work, we address the problem of deterministic k-coverage in planar WSN by proposing a hierarchical triangular lattice-based deployment strategy that organizes sensor locations across di↵erent refinement levels and guarantees coverage of every point in the sensing domain by at least k sensors. Each lattice is three-colorable, and selective activation of color classes ensures adjustable coverage guarantees. We prove that activating a single color class at refinement level t guarantees at least …

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Telluric Correction Of M-Dwarf Stars Using Machine Learning, Sayak Rana Jun 2026

Telluric Correction Of M-Dwarf Stars Using Machine Learning, Sayak Rana

Master’s Dissertations

The study of M-dwarf stars is of prime scientific interest to us because of their closer habitable zones and the favorable conditions they offer for exoplanet detection. However, telluric contamination of the ground-based spectra results in sharp absorption lines, which makes their study cumbersome. Removing this contamination is necessary for estimating key stellar parameters. The central contribution is a one-dimensional Convolutional Neural Network (CNN) that retrieves the four atmospheric parameters governing telluric absorption: pressure, temperature, humidity, and airmass. These predicted parameters are passed to Telfit which produces an estimated telluric spectrum. The observed spectrum is then divided by this estimated …

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Examining Technology Integration In Teaching Science In Secondary Schools In Nigeria, Williams Ahupa Iyango Jun 2026

Examining Technology Integration In Teaching Science In Secondary Schools In Nigeria, Williams Ahupa Iyango

Walden Dissertations and Doctoral Studies

No abstract provided.

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K–3 General Education Teachers’ Experiences On Their Roles In Supporting English Language Learners, Sylvia Pollard-Ware Jun 2026

K–3 General Education Teachers’ Experiences On Their Roles In Supporting English Language Learners, Sylvia Pollard-Ware

Walden Dissertations and Doctoral Studies

No abstract provided.

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Relationship Between The Use Of A Personalized Learning System And English Language Arts Proficiency In Grades Three Through Five At A New Jersey School, Rolanda Monique Terry Jun 2026

Relationship Between The Use Of A Personalized Learning System And English Language Arts Proficiency In Grades Three Through Five At A New Jersey School, Rolanda Monique Terry

Walden Dissertations and Doctoral Studies

No abstract provided.

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Examining Teachers' Perceptions On How To Close The Ela Achievement Gap Among Black And White Students In Elementary Title I Schools In A Northwest Florida District, Caressa Renae Richardson Jun 2026

Examining Teachers' Perceptions On How To Close The Ela Achievement Gap Among Black And White Students In Elementary Title I Schools In A Northwest Florida District, Caressa Renae Richardson

Walden Dissertations and Doctoral Studies

No abstract provided.

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A Link Between Emotional Intelligence, Age, And Diverse Learners, Christina Jedlicka Blake Jun 2026

A Link Between Emotional Intelligence, Age, And Diverse Learners, Christina Jedlicka Blake

Doctoral Dissertations and Projects

This quantitative comparative study explored the complex relationship between emotional intelligence (EQ) and Learning Differences (LDs), focusing on academic, social, and emotional development of adolescents diagnosed with specific learning disabilities (SLDs), attention deficit hyperactivity disorder (ADHD), and high- functioning autism spectrum disorder (ASD). The study investigated whether differences in EQ exist between students with and without LDs and whether age influences EQ development. The 102 participants included male and female students in grades 6-12, ages 11-18, attending a Christ-centered college preparatory school. Students completed a 30-question EQ questionnaire during the researcher’s class time, and online surveys were coded to identify …

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Toward Defining Vulnerability For The Field Of Communication, Adrian Osman Jun 2026

Toward Defining Vulnerability For The Field Of Communication, Adrian Osman

Doctoral Dissertations and Projects

Vulnerability, a common human experience, is still not well-theorized within the field of communication and lacks a clear, discipline-specific definition. This qualitative study examined how vulnerability shapes interpersonal communication, using general systems theory and social exchange theory as guiding frameworks. Through in-depth interviews with individuals who identify obesity as a lived vulnerability, five central themes emerged: awareness and acceptance of vulnerability, experiencing weight-based dismissal in healthcare, weight-related communication in familial and everyday interactions, avoidance and situational disengagement, and support systems – what works and what does not. Findings show that vulnerability acts as a dynamic communicative force, shaping engagement, withdrawal, …

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Merleau-Ponty On The Crisis Of Natural Philosophy: A Critique Of The Metaphysical Foundations Of Natural Science And Investigations Into The Ontology Of Nature, Kevin Mager Jun 2026

Merleau-Ponty On The Crisis Of Natural Philosophy: A Critique Of The Metaphysical Foundations Of Natural Science And Investigations Into The Ontology Of Nature, Kevin Mager

Dissertations

In this dissertation, I show that Merleau-Ponty’s philosophy of nature is also a radical critique of the metaphysical foundations of natural science. This critique leads us to a new ontology for science, grounded in the lifeworld. I focus on how his philosophy offers a detailed critique of both physicalism and mechanism. For Merleau-Ponty, mechanism is not just the strict adherence to classical causality, but any view that asserts that classical causality has any role to play in reality at all. To replace mechanistic causality, Merleau-Ponty argues that we must conceive of nature as grounded in meaningful possibility. Merleau-Ponty's emphasis on …

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Articulating The Future: How The Techno-Optimist Manifesto Constructs Ai Hegemony, Christian Noel Yeomans Jun 2026

Articulating The Future: How The Techno-Optimist Manifesto Constructs Ai Hegemony, Christian Noel Yeomans

Master's Theses

This paper analyzes two recently published digital manifestos—the Techno-Optimist Manifesto (TOM) by Marc Andreessen and the Bitcoin Whitepaper (BW) by Satoshi Nakamoto—and how they articulate political visions for the respective rising technologies of artificial intelligence (AI) and cryptocurrency. I apply Laclau and Mouffe’s discursive articulation theory to both manifestos, analyzing how they contribute to the formation of hegemonic ideological visions among the elites of these two technological sectors. In the context of AI elites, TOM transforms an existing Silicon Valley ideology, techno-optimism, into a radical new form of accelerationism, which I coin t/opt. This shift is examined within the context …

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The Interplay Between Deficit Spending And Financial Instability: An Examination Of Fiscal And Monetary Policy Interactions, Heidie Jean George Jun 2026

The Interplay Between Deficit Spending And Financial Instability: An Examination Of Fiscal And Monetary Policy Interactions, Heidie Jean George

Doctoral Dissertations and Projects

This study investigates the impact of fiscal and monetary policy on financial stability and fragility, focusing on how government spending and deficits contribute to the economic and financial system. Drawing on Minsky’s Financial Instability Hypothesis (FIH) and Financial Fragility Hypothesis (FFH), the research examines the dynamic relationship between fiscal policy, financial stability, and economic stability. The study focuses on understanding how government spending and deficits affect the economic and financial system in context of private and public debt and policy interactions and the role of system risk factors. The study uses Principal Component Analysis (PCA), Vector Autoregression (VAR), Impulse Response …

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State Government, The Forgotten Cyber Actor, Joshua D. Strubel Jun 2026

State Government, The Forgotten Cyber Actor, Joshua D. Strubel

Doctoral Dissertations and Projects

Cyber incidents are among the most pervasive threats facing the United States, with the FBI recording over 859,000 reported attacks and an estimated $16.6 billion in losses in 2024 alone. Despite widespread recognition that effective cyber defense requires a whole-nation approach, the existing research literature overwhelmingly focuses on federal policy, leaving state governments as largely overlooked actors. This study addresses that gap by examining the research question: How does state cybersecurity policy affect malicious cyber actors' frequency of operations? Drawing on multilinear regression analysis augmented by Random Forest machine learning models, this study evaluates the relationship between state-level cyber deterrence …

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Recommendations For Improving Soft Skills Training In The Career And Technical Education Curriculum At Sumter Career And Technology Center In South Carolina, Walter Robertson Iii Jun 2026

Recommendations For Improving Soft Skills Training In The Career And Technical Education Curriculum At Sumter Career And Technology Center In South Carolina, Walter Robertson Iii

Doctoral Dissertations and Projects

The purpose of this study was to improve soft skills training in the Career and Technical Education curriculum at the Sumter Career and Technology Center in South Carolina. The problem was that 8% of the Sumter Career and Technology Center's students participating in work-based learning opportunities, apprenticeships, or internships lack the soft skills required by participating employers. The rationale for this study was that it is critical to improve soft skills training in the curriculum at Sumter Career and Technology Center to improve students' performance in work-based learning opportunities to boost employer confidence and lead to permanent future employment opportunities …

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High-Throughput Optical Analysis To Inform Design Of Electrochemical Biosensors, Nathan J. Ricks, Michael A. Pence, Monica Brachi, Shelley D. Minteer Jun 2026

High-Throughput Optical Analysis To Inform Design Of Electrochemical Biosensors, Nathan J. Ricks, Michael A. Pence, Monica Brachi, Shelley D. Minteer

Chemistry Faculty Research & Creative Works

Electrochemical biosensors are central to wearable diagnostics, point-of-care testing, and continuous health monitoring due to their low power requirements, compatibility with miniaturized electronics, and proven clinical impact. Despite these advantages, the development of new electrochemical biosensors remains slow, constrained by limited throughput, complex electrode–biomolecule interfaces, and challenges associated with selectivity and performance in chemically complex environments. This perspective outlines how the next generation of electrochemical biosensors can be enabled by decoupling high-throughput front-end discovery and optimization from electrochemical readouts using nonelectrochemical surrogate assays. Optical, affinity, and cell-sorting platforms, including SELEX, fluorescence-activated cell sorting, and chemically coupled fluorescence assays, allow orders-of-magnitude …

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