Research Articles
Superhydrophobic PEDOT:TFPB: Enabling Calibration-Free, Stable Ion-Selective Sensors for Biomedical Applications
This article explores the groundbreaking development of superhydrophobic Poly(3,4-ethylenedioxythiophene) tetrakis[3,5-bis(1,1,1,3,3,3-hexafluoro-2-methoxy-2-propyl)phenyl]borate (PEDOT:TFPB) as a core material for next-generation ion-selective sensors.
Machine Learning for Electrochemical Biosensor Signal Prediction: A Comprehensive Framework for Enhanced Diagnostics and Optimization
This article provides a comprehensive exploration of machine learning (ML) integration for electrochemical biosensor signal prediction, tailored for researchers, scientists, and drug development professionals.
POEGMA Polymer Brushes: Conquering Signal Drift for Next-Generation Biosensors and Biomedical Devices
This article explores the transformative role of poly(oligo(ethylene glycol) methyl ether methacrylate) (POEGMA) polymer brushes in mitigating the pervasive challenge of signal drift in biomedical interfaces.
Overcoming the Debye Limit: How Donnan Potential Extends Biosensor Capabilities in Physiological Solutions
This article provides a comprehensive review of the Donnan potential effect as a transformative mechanism for extending the Debye length in field-effect transistor (FET) biosensors.
Electrical Double Layer Capacitance and Signal Drift: Mechanisms, Measurement, and Mitigation in Biomedical Sensors
This article provides a comprehensive analysis of the intricate relationship between electrical double layer capacitance (Cdl) and signal drift in electrochemical and transistor-based biosensors.
Unraveling Signal Drift in Electrochemical Biosensors: From Fundamental Origins to Advanced Mitigation Strategies
Signal drift presents a significant challenge to the reliability and long-term stability of electrochemical biosensors, hindering their translation from research to clinical and point-of-care applications.
Systematic Optimization of Biosensor Response Time Using Response Surface Methodology: A Guide for Biomedical Researchers
This article provides a comprehensive guide for researchers and drug development professionals on applying Response Surface Methodology (RSM) to optimize biosensor response time.
Full Factorial vs. Fractional Factorial Designs for Biosensors: A Strategic Guide for Researchers
Optimizing biosensor performance requires the efficient exploration of numerous factors, from biological receptor concentration to physical assay conditions.
Systematic Optimization Strategies for Reproducible and High-Performance Biosensor Fabrication
Biosensor performance and commercial viability are critically dependent on overcoming fabrication variability, a central challenge in translational research.
Optimizing Biosensor Stability and Shelf Life: A Design of Experiments (DoE) Framework for Biomedical Research
Biosensor stability and shelf life are critical determinants of commercial success and reliable performance in clinical diagnostics and drug development.