A wearable electrochemical biosensor for the monitoring of metabolites and nutrients

Wang, Minqiang; Yang, Yiran; Min, June Kee; Song, Yu; Tu, Jiaobing; Mukasa, Daniel; Cui, Ye; Xu, Changhao; Heflin, Nicole; McCune, Jeannine S.; Hsiai, Tzung K.; Li, Zhaoping; Gao, Wei

doi:10.1038/s41551-022-00916-z

Cited by 427 publications

(303 citation statements)

References 52 publications

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“…Interestingly, novel wearable devices are being designed to probe insulin and other metabolites that are impossible to quantify with existing techniques (55, 56), which will clearly benefit the calibration and the extension of our framework. Furthermore, the rapid development in non-invasive wearable devices tremendously increases patients’ compliance to the use of wearable devices (57, 58), and hence provides data with more frequent readouts, higher resolution and diverse modalities, which will obviously enhance the performance of our framework beyond diabetes related research. In summary, by seamlessly integrating real-world data from wearable sensors, systems biology informed numerical models and offline reinforcement learning algorithms, we believe our novel framework could shed light on the translational precision medicine where adequate biological numerical models are established and enough amount of medical data from wearable devices are available.…”

Section: Discussionmentioning

confidence: 99%

Patient-specific deep offline artificial pancreas for blood glucose regulation in type 1 diabetes

Deng

Arao

Mantzoros

et al. 2022

Preprint

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Due to insufficient insulin secretion, patients with type 1 diabetes mellitus (T1DM) are prone to blood glucose fluctuations ranging from hypoglycemia to hyperglycemia. While dangerous hypoglycemia may lead to coma immediately, chronic hyperglycemia increases patients' risks for cardiorenal and vascular diseases in the long run. In principle, an artificial pancreas - a closed-loop insulin delivery system requiring patients manually input insulin dosage according to the upcoming meals - could supply exogenous insulin to control the glucose levels and hence reduce the risks from hyperglycemia. However, insulin overdosing in some type 1 diabetic patients, who are physically active, can lead to unexpected hypoglycemia beyond the control of common artificial pancreas. Therefore, it is important to take into account the glucose decrease due to physical exercise when designing the next-generation artificial pancreas. In this work, we develop a deep reinforcement learning algorithm using a T1DM dataset, containing data from wearable devices, to automate insulin dosing for patients with T1DM. In particular, we build patient-specific computational models using systems biology informed neural networks (SBINN), to mimic the glucose-insulin dynamics for a few patients from the dataset, by simultaneously considering patient-specific carbohydrate intake and physical exercise intensity.

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Section: Discussionmentioning

confidence: 99%

Patient-specific deep offline artificial pancreas for blood glucose regulation in type 1 diabetes

Deng

Arao

Mantzoros

et al. 2022

Preprint

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“…Switch sensors mimic natural bioprocesses using artificial or modified biomolecules to undergo conformational changes upon binding the target molecules. Commonly used biomolecular switches include proteins 56 , oligonucleotides 57 , 58 and synthetic receptors (MIPs) 59 – 61 (Fig. 3a ).…”

Section: Wearable Chemical Sensing Strategiesmentioning

confidence: 99%

“…5d ). Microfluidic wearable sensors can be developed to achieve fully autonomous sweat extraction, sampling and multiplexed sensing 61 . Such microfluidic wearables could minimize sweat evaporation to enable rapid sweat analysis.…”

Section: Materials and Wearable System Designmentioning

confidence: 99%

Wearable chemical sensors for biomarker discovery in the omics era

et al. 2022

Self Cite

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Biomarkers are crucial biological indicators in medical diagnostics and therapy. However, the process of biomarker discovery and validation is hindered by a lack of standardized protocols for analytical studies, storage and sample collection. Wearable chemical sensors provide a real-time, non-invasive alternative to typical laboratory blood analysis, and are an effective tool for exploring novel biomarkers in alternative body fluids, such as sweat, saliva, tears and interstitial fluid. These devices may enable remote at-home personalized health monitoring and substantially reduce the healthcare costs. This Review introduces criteria, strategies and technologies involved in biomarker discovery using wearable chemical sensors. Electrochemical and optical detection techniques are discussed, along with the materials and system-level considerations for wearable chemical sensors. Lastly, this Review describes how the large sets of temporal data collected by wearable sensors, coupled with modern data analysis approaches, would open the door for discovering new biomarkers towards precision medicine.

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“…As the application scenarios of sweat collection are also limited by the volume of sweat, most sweat sensors are only applied after strenuous exercise. In this way, Wang et al presented a new method of wearable electrochemical biosensor based on the unique in situ regeneration and calibration technologies, which enables the sensitive, selective and continuous monitoring of a wide range of trace-level biomarkers including all nine essential amino acids as well as vitamins, metabolites and lipids commonly found in human sweat [77]. Additionally, the continuous and sufficient sweat collection can be achieved by the new strategies of the carbochol iontophoresis-based sweat induction and microfluidic-based surrounding sweat sampling.…”

Section: (D)mentioning

confidence: 99%

Recent Advances in Materials, Designs and Applications of Skin Electronics

Yao

Yang

et al. 2023

IEEE Open J. Nanotechnol.

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As electronic devices get smaller, more portable, and smarter, a new approach of realizing electronics in thin, soft, and even stretchable style that could be worn and attached to the skin, which is called skin electronics, has emerged and attracted much attention. To achieve well compliance, extend the maximum stretchability, promote the comfortability of wearing, and make the most use of the skin electronics, researchers are making efforts in different aspects. In this review, we summarized the recent advances in categories of materials science, design strategies and novel applications. Examples of skin electronics using various functional materials including piezoelectric, thermoelectric, etc., and soft conductive materials including PEDOT: PSS-based conductive polymer, carbon nanomaterials, metal-based materials and hydrogels were given.Different mechanics design strategies for enhancing mechanical performance and comfortability design strategies for better wearing experience were introduced. Lastly, practical applications of skin electronics in fields of smart healthcare and human-machine interface were discussed.Research focused on these aspects all boosted the development of skin electronics in different dimensions, with which combined together may help skin electronics take a leap into truly ubiquitous use in our daily life.

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A wearable electrochemical biosensor for the monitoring of metabolites and nutrients

Cited by 427 publications

References 52 publications

Patient-specific deep offline artificial pancreas for blood glucose regulation in type 1 diabetes

Patient-specific deep offline artificial pancreas for blood glucose regulation in type 1 diabetes

Wearable chemical sensors for biomarker discovery in the omics era

Recent Advances in Materials, Designs and Applications of Skin Electronics

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