Noble and transition metal nanomaterials are widely used in glucose sensing. However, the fabrication of these sensors still suffers from complex nanomaterial synthesis process and unstable nanomaterial loading on sensing surfaces. Herein, a Cu-Au bimetallic microelectrode array was prepared via local electrochemical deposition and electrochemical reduction without the need for templates and additional nanomaterial preparation processes. Based on the COMSOL computational fluid study, the obtained microelectrode arrays combined with microfluidic channels allow the continuous and rapid detection of glucose. Large number of active sites on the surface of 3D nano-arrays contributes to excellent sensing performance for glucose, with good linear detection ranges in 10 µM to 4 × 10 µM and 4 × 10 µM to 4 × 10 µM, and a low detection limit of 284 nM. The feasibility of sensor in real sample was verified by detecting glucose in beverages with good recoveries ranging from 95.50% to 104.31%.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.foodchem.2023.137229 | DOI Listing |
ACS Sens
December 2024
Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China.
Three-dimensional (3D) cardiomyocyte spheroids are essential models to replicate cardiac structural and functional features in vitro. However, conventional planar and rigid microelectrode arrays (MEAs) suffer from low-quality electrophysiological recording of 3D cultures, due to limited contact areas and weak coupling between cells and MEA chips. Herein, we developed a PEDOT: PSS-modified organic flexible and implantable MEA (OFI-MEA) coupled with a self-developed integrated biosensing platform to achieve high-throughput, long-term, and stable bidirectional internal electrophysiology in 3D cardiomyocyte spheroids.
View Article and Find Full Text PDFNeurobiol Dis
December 2024
Oscar Langendorff Institute of Physiology, University Medical Centre Rostock, Rostock, Germany. Electronic address:
Background: Deep brain stimulation (DBS) targeting globus pallidus internus (GPi) is a recognised therapy for drug-refractory dystonia. However, the mechanisms underlying this effect are not fully understood. This study explores how pallidal DBS alters spatiotemporal pattern formation of neuronal dynamics within the cerebellar cortex in a dystonic animal model, the dt hamster.
View Article and Find Full Text PDFHum Brain Mapp
December 2024
Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Intracortical microstimulation (ICMS) is a method for restoring sensation to people with paralysis as part of a bidirectional brain-computer interface (BCI) to restore upper limb function. Evoking tactile sensations of the hand through ICMS requires precise targeting of implanted electrodes. Here we describe the presurgical imaging procedures used to generate functional maps of the hand area of the somatosensory cortex and subsequent planning that guided the implantation of intracortical microelectrode arrays.
View Article and Find Full Text PDFEpilepsia
December 2024
Department of Neurology, University of Virginia, Charlottesville, Virginia, USA.
Objective: Focal cortical seizures travel long distances from the onset zone, but the long-distance propagation pathways are uncertain. In vitro and in vivo imaging techniques have investigated the local spread of seizures but did not elucidate long-distance spread. Furthermore, classical studies in slices suggested seizure spread locally along deep cortical layers, whereas more recent in vivo imaging studies posit a role for superficial cortical layers in local spread.
View Article and Find Full Text PDFJ Neural Eng
December 2024
Stanford University, 452 Lomita Mall, Stanford, California, 94305, UNITED STATES.
Objective: Neural interfaces are designed to evoke specific patterns of electrical activity in populations of neurons by stimulating with many electrodes. However, currents passed simultaneously through multiple electrodes often combine nonlinearly to drive neural responses, making evoked responses difficult to predict and control. This response nonlinearity could arise from the interaction of many excitable sites in each cell, any of which can produce a spike.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!