Electrochemical sensors and biosensors

This paper introduces 3D carbon cup electrodes for real-time, chemically selective detection of neurotransmitter release in midbrain organoids, demonstrating dopamine sensing and validating the platform with chemical perturbations.

This paper develops a method for direct electrochemical cortisol detection using a defect-engineered graphene interface and transition-resolved interrogation, achieving sensitive and selective detection in biological fluids.

This paper develops a biosensor using host-pathogen interaction peptides to rapidly detect Listeria monocytogenes with high selectivity and sensitivity.

SMART-NeuroDx is a reagent-free electrochemical biosensor that simultaneously detects four dementia biomarkers in unprocessed blood samples using machine learning for accurate quantification.

This paper develops an AI-guided method to design protein inhibitors that modulate FAD-GDH redox output, demonstrating their effectiveness in reducing GDH-mediated redox activity.

This paper develops a portable, smartphone-compatible electrochemical sensor for serotonin detection in serum, demonstrating high sensitivity, selectivity, and reliability in clinical samples.

This paper develops an ingestible pill for real-time in vivo sensing of serotonin and dopamine in the gut using a fully integrated electrochemical sensor and ASIC.

The paper develops a nicotine biosensor using a microbial-derived redox enzyme, demonstrating detection over a clinically relevant range.

This study develops a flexible PCB potentiostat integrated with a glucose biosensor on polyimide filament for wearable glucose monitoring in artificial sweat.

This paper develops a coreactant-free ECL sensing platform with entwined spiral microelectrodes for sensitive, multiplexed POC diagnostics.

This paper develops a wearable nicotine biosensor using NicA2 and CycN, achieving high sensitivity and selectivity for real-time sweat monitoring.

The paper introduces A-PACE, an open-source toolkit for real-time electrochemical data analysis, improving peak detection, baseline fitting, and data processing efficiency.

This paper develops a covalent conjugation method to attach glucose oxidase to single-walled carbon nanotubes for improved glucose sensing performance and stability.

This paper develops and tests all-diamond boron-doped microelectrodes for neurochemical sensing using fast-scan cyclic voltammetry, showing improved detection of serotonin compared to dopamine.

This study creates a water-stable conductive composite using microbial pilin-based nanowires and demonstrates its use as a sensitive ammonia sensor with tunable response.

This paper develops an electrochemical biosensor for G6PD deficiency detection using polymer nanocomposites and reports high sensitivity and stability.

This paper develops a machine learning approach to improve the accuracy of simultaneous electrochemical detection of interfering analytes by reducing prediction error.

The paper develops a meniscus-guided coating technique using in-situ microscopy and CFD modeling to create high-performance rGO-based biosensors with picomolar detection limits.

This paper develops microimmunoelectrodes for electrochemical detection of dynorphin, showing sensitivity in the attomolar range and selectivity over other opioids.

This paper introduces a machine learning method to concurrently detect dopamine, norepinephrine, and serotonin with sub-second resolution in conscious humans.

This paper introduces a random sensing method for detecting neurotransmitters and pH, achieving fast, high-quality estimates with potential for significant speedups.

This paper reports difficulties in measuring acetylcholine release in awake macaques using amperometry during a cognitive task, highlighting challenges for future research.