Free-standing conductive hydrogel electrode for potentiometric glucose sensing

Himori, Shogo; Sakata, Toshiya

doi:10.1039/d1ra08956k

Cited by 10 publications

(2 citation statements)

References 41 publications

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“…[ 16 ] This also promotes the fabrication of freestanding hydrogels that do not need substrate support to remain mechanically tough and flexible. [ 119 ] The main motivation for the use of conductive polymers was initially the stimulation of neurons that function in response to electrical stimuli, thereby generating cell lines that are capable of being modulated according to known inputs to the electroactive tissue. Recent advances in the processibility and manufacturing of conductive polymer materials like PEDOT:PSS and PAni have enabled the more widespread use of synthetic scaffolds to host cells in a mechanically tunable and electrically conductive environment for electrochemical sensing applications.…”

Section: In Situ Sensorsmentioning

confidence: 99%

Advances in the Translation of Electrochemical Hydrogel‐Based Sensors

Shafique

Vries

Strauss

et al. 2022

Adv Healthcare Materials

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Novel biomaterials for bio‐ and chemical sensing applications have gained considerable traction in the diagnostic community with rising trends of using biocompatible and lowly cytotoxic material. Hydrogel‐based electrochemical sensors have become a promising candidate for their swellable, nano‐/microporous, and aqueous 3D structures capable of immobilizing catalytic enzymes, electroactive species, whole cells, and complex tissue models, while maintaining tunable mechanical properties in wearable and implantable applications. With advances in highly controllable fabrication and processability of these novel biomaterials, the possibility of bio‐nanocomposite hydrogel‐based electrochemical sensing presents a paradigm shift in the development of biocompatible, “smart,” and sensitive health monitoring point‐of‐care devices. Here, recent advances in electrochemical hydrogels for the detection of biomarkers in vitro, in situ, and in vivo are briefly reviewed to demonstrate their applicability in ideal conditions, in complex cellular environments, and in live animal models, respectively, to provide a comprehensive assessment of whether these biomaterials are ready for point‐of‐care translation and biointegration. Sensors based on conductive and nonconductive polymers are presented, with highlights of nano‐/microstructured electrodes that provide enhanced sensitivity and selectivity in biocompatible matrices. An outlook on current challenges that shall be addressed for the realization of truly continuous real‐time sensing platforms is also presented.

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Section: In Situ Sensorsmentioning

confidence: 99%

Advances in the Translation of Electrochemical Hydrogel‐Based Sensors

Shafique

Vries

Strauss

et al. 2022

Adv Healthcare Materials

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“…Traditional research on arrhythmia classification aims to automate the methods used by human experts in order to identify and classify arrhythmias from ECG signals. The main challenges in traditional arrhythmia classification research lie in the diversity of arrhythmia types, as well as the presence of overlap and confusion, necessitating the optimization and improvement of classification algorithms and feature extraction to enhance accuracy and stability [54,55]. With the continuous development of computers, researchers have explored the direction of machine learning technologies.…”

Section: Introductionmentioning

confidence: 99%

Skin Electrodes Based on TPU Fiber Scaffolds with Conductive Nanocomposites with Stretchability, Breathability, and Washability

Zhao,

Yang,

2024

Micromachines

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In the context of an aging population and escalating work pressures, cardiovascular diseases pose increasing health risks. Electrocardiogram (ECG) monitoring presents a preventive tool, but conventional devices often compromise comfort. This study proposes an approach using Ag NW/TPU composites for flexible and breathable epidermal electronics. In this new structure, TPU fibers are used to support Ag NWs/TPU nanocomposites. The TPU fiber-reinforced Ag NW/TPU (TFRAT) nanocomposites exhibit excellent conductivity, stretchability, and electromechanical durability. The composite ensures high steam permeability, maintaining stable electrical performance after washing cycles. Employing this technology, a flexible ECG detection system is developed, augmented with a convolutional neural network (CNN) for automated signal analysis. The experimental results demonstrate the system’s reliability in capturing physiological signals. Additionally, a CNN model trained on ECG data achieves over 99% accuracy in diagnosing arrhythmias. This study presents TFRAT as a promising solution for wearable electronics, offering both comfort and functionality in long-term epidermal applications, with implications for healthcare and beyond.

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