Wearable Electrochemical Glucose Sensors in Diabetes Management: A Comprehensive Review

Chemical Reviews, Journal Year: 2023, Volume and Issue: 123(12), P. 7854 - 7889

Published: May 30, 2023

With the rising diabetic population, demand for glucose sensing devices has also been on an increasing trend. Accordingly, field of biosensors diabetes management witnessed tremendous scientific and technological advancements since introduction first enzymatic biosensor in 1960s. Among these, electrochemical hold considerable potential tracking dynamic profiles real time. The recent evolution wearable opened opportunities to use alternative body fluids a pain-free, noninvasive or minimally invasive manner. This review aims present comprehensive report about status promise sensors on-body monitoring. We start by highlighting importance how can contribute toward its effective then discuss mechanisms, such over time, different versions targeting various biofluids, multiplexed optimal management. Finally, we focus commercial aspects biosensors, starting with existing continuous monitors, followed other emerging technologies, concluding key prospects personalized connection autonomous closed-loop artificial pancreas.

Language: Английский

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The Emergence of AI-Based Wearable Sensors for Digital Health Technology: A Review

Sensors, Journal Year: 2023, Volume and Issue: 23(23), P. 9498 - 9498

Published: Nov. 29, 2023

Disease diagnosis and monitoring using conventional healthcare services is typically expensive has limited accuracy. Wearable health technology based on flexible electronics gained tremendous attention in recent years for patient owing to attractive features, such as lower medical costs, quick access data, ability operate transmit data harsh environments, storage at room temperature, non-invasive implementation, mass scaling, etc. This provides an opportunity disease pre-diagnosis immediate therapy. sensors have opened a new area of personalized by accurately measuring physical states biochemical signals. Despite the progress date development wearable sensors, there are still several limitations accuracy collected, precise diagnosis, early treatment. necessitates advances applied materials structures artificial intelligence (AI)-enabled extract target signals accurate clinical decision-making efficient care. In this paper, we review two significant aspects smart sensors. First, offer overview most improving sensor performance physical, chemical, biosensors, focusing materials, structural configurations, transduction mechanisms. Next, use AI combination with big processing, self-learning, power-efficiency, real-time acquisition intelligent sensing platform. Finally, present challenges future opportunities associated

Language: Английский

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Continuous Ketone Monitoring via Wearable Microneedle Patch Platform

ACS Sensors, Journal Year: 2024, Volume and Issue: 9(2), P. 1004 - 1013

Published: Feb. 1, 2024

Ketone bodies (KBs), especially β-hydroxybutyrate (BHB), have gained tremendous attention as potential biomarkers their presence in bodily fluids is closely associated with health and wellness. While a variety of blood fingerstick test strips are available for self-testing BHB, there major needs wearable devices capable continuously tracking changing BHB concentrations. To address these needs, we present here the first demonstration microneedle-based continuous ketone monitoring (CKM) human interstitial fluid (ISF) illustrate its ability to follow intake drinks. ensure highly stable selective detection ISF new enzymatic microneedle sensor relies on gold-coated platinum working electrode modified reagent layer containing toluidine blue O (TBO) redox mediator, dehydrogenase (HBD) enzyme, nicotinamide adenine dinucleotide (NAD+) cofactor, along carbon nanotubes (CNTs), chitosan (Chit), poly(vinyl chloride) (PVC) outer protective layer. The skin-worn sensing device operates miniaturized electrochemical analyzer connected wirelessly mobile electronic capturing, processing, displaying data. Cytotoxicity skin penetration studies indicate absence harmful effects. A pilot study involving multiple subjects evaluated ISF, against gold standard meter measurements, revealing close correlation between two methods. Such CKM offers considerable promise dynamic toward management diabetic ketoacidosis personal nutrition

Language: Английский

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Wearable Vertical Graphene-Based Microneedle Biosensor for Real-Time Ketogenic Diet Management

Analytical Chemistry, Journal Year: 2024, Volume and Issue: 96(21), P. 8713 - 8720

Published: May 15, 2024

Ketogenic diets have attracted substantial interest in the treatment of chronic diseases, but there are health risks with long-term regimes. Despite advancements diagnostic and therapeutic methods modern medicine, is a huge gap personalized management this dietary strategy. Hence, we present wearable microneedle biosensor for real-time ketone glucose monitoring. The array possesses excellent mechanical properties, allowing consistent sampling interstitial biomarkers while reducing pain associated skin puncture. Vertical graphene outstanding electrical conductivity provides resulting sensor high sensitivity 234.18 μA mM–1 cm–2 low limit detection 1.21 μM. When fully integrated was used human volunteers, it displayed an attractive analytical capability tracking dynamic metabolite levels. Moreover, results on-body evaluation established significant correlation commercial blood measurements. Overall, cost-effective efficient sensing platform can accelerate application ketogenic diet personal nutrition wellness management.

Language: Английский

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Multifunctional Dopamine‐Based Hydrogel Microneedle Electrode for Continuous Ketone Sensing

Advanced Materials, Journal Year: 2024, Volume and Issue: 36(32)

Published: June 7, 2024

Abstract Diabetic ketoacidosis (DKA), a severe complication of type 1 diabetes (T1D), is triggered by production large quantities ketone bodies, requiring patients with T1D to constantly monitor their levels. Here, skin‐compatible hydrogel microneedle (HMN)‐continuous monitoring (HMN‐CKM) device reported. The sensing mechanism relies on the catechol–quinone chemistry inherent dopamine (DA) molecules that are covalently linked polymer structure HMN patch. DA serves dual‐purpose acting as redox mediator for measuring byproduct oxidation 3‐beta‐hydroxybutyrate (β‐HB), primary bodies; while, also facilitating formation crosslinked A universal approach involving pre‐oxidation and detection generated catechol compounds introduced correlate sensor response β‐HB concentrations. It further shown real‐time tracking decrease in levels rat model possible using HMN‐CKM device, conjunction data‐driven machine learning considers potential time delays.

Language: Английский

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Medical Robotics and AI-Assisted Diagnostics Challenges for Smart Sustainable Healthcare

Advances in medical diagnosis, treatment, and care (AMDTC) book series, Journal Year: 2024, Volume and Issue: unknown, P. 304 - 323

Published: Jan. 5, 2024

The healthcare industry is undergoing a momentous transformation with the advent of artificial intelligence (AI) and internet medical things (IoMT), as these technologies are significant in managing patient data, simple surgery, personnel. This development has shown potential to mitigate shortages, health issues, global disasters. Nevertheless, dynamic characteristics system its vulnerability intrusions give rise apprehensions regarding possible compromise endangerment life, reputational harm. study examines influence robots AI-aided diagnostics on smart sustainability.

Language: Английский

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Recent advances and applications of single atom catalysts based electrochemical sensors

Nano Research, Journal Year: 2023, Volume and Issue: 17(4), P. 2994 - 3013

Published: Nov. 17, 2023

Language: Английский

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Deep learning for personalized health monitoring and prediction: A review

Computational Intelligence, Journal Year: 2024, Volume and Issue: 40(3)

Published: June 1, 2024

Abstract Personalized health monitoring and prediction are indispensable in advancing healthcare delivery, particularly amidst the escalating prevalence of chronic illnesses aging population. Deep learning (DL) stands out as a promising avenue for crafting personalized systems adept at forecasting outcomes with precision efficiency. As personal data becomes increasingly accessible, DL‐based methodologies offer compelling strategy enhancing provision through accurate timely prognostications conditions. This article offers comprehensive examination recent advancements employing DL prediction. It summarizes diverse range architectures their practical implementations across various realms, such wearable technologies, electronic records (EHRs), accumulated from social media platforms. Moreover, it elucidates obstacles encountered outlines future directions leveraging monitoring, thereby furnishing invaluable insights into immense potential this domain.

Language: Английский

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Transformative Personalized Oxalate Biomarker Analysis through a Wrist-Worn Microneedle Device Integrated with Duplex Nanozyme Toolbox

Sensors and Actuators B Chemical, Journal Year: 2024, Volume and Issue: 423, P. 136731 - 136731

Published: Oct. 9, 2024

Language: Английский

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Monitoring Ketoacidosis and Ketosis through Electrochemical Sensing of Acetone and Acetoacetate in Biological Fluids after Dilution

Sensors and Actuators B Chemical, Journal Year: 2025, Volume and Issue: unknown, P. 137557 - 137557

Published: March 1, 2025

Language: Английский

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