Flexible Electrochemical Sensor Based on NiCu(OOH) for Monitoring Urea in Human Sweat

Yoon, Jaesik; Sim, Myeongseok; Oh, Tae-Sik; Yoon, Young Soo; Kim, Dong-Joo

doi:10.1149/1945-7111/ac34ca

Cited by 16 publications

(3 citation statements)

References 49 publications

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“…The sensor can measure 100% large strain, has low detection limit (±0.09%), fast response (12 ms), and high reproducibility (more than 6000 times), and can be assembled into clothes or installed on the skin surface [8]. In the research and analysis, Yoon et al proposed a sensitive and selective sweat sensor based on flexible NICU (ooh)/polystyrene (PS) electrode for the detection of urea biomarkers [9]. Al-Temeemy proposed a descriptor for home health care monitoring system in research and analysis, which is generated by a color method to extract robust features from the image of the monitoring system and is robust to events that usually interfere with the monitoring system [10].…”

Section: State Of the Artmentioning

confidence: 99%

Application of Wireless Sensor Network Model Based on Big Data Ecosystem in Intelligent Health Monitoring System

Tu¹

2022

Journal of Function Spaces

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With the continuous enhancement of people’s health awareness, the awareness of disease prevention began to improve, and the demand for intelligent health status monitoring is also increasing. At present, the health status monitoring mostly depends on hospital equipment, which has high cost and cannot realize remote analysis. Based on this, this paper studies and analyzes the application of wireless sensor network model based on big data ecosystem in intelligent health monitoring. ZigBee protocol is used to realize data transmission, wireless sensor is used to monitor human body temperature, heart rate, blood oxygen saturation, and other physiological indicators, human posture monitoring algorithm is used to monitor posture changes, which is combined with human physiological parameter information, and the long-term and short-term memory model is used to effectively use the time sequence information of data to realize the functions of physiological parameter measurement, wireless positioning, and information fusion. An experiment was designed to test the accuracy of the health monitoring system. The results show that the wireless sensor retention model can meet the design requirements in terms of the monitoring accuracy of body temperature, heart rate, and blood oxygen saturation index in intelligent health monitoring, with low cost and can be combined with human dynamic information.

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Section: State Of the Artmentioning

confidence: 99%

Application of Wireless Sensor Network Model Based on Big Data Ecosystem in Intelligent Health Monitoring System

Tu¹

2022

Journal of Function Spaces

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“…All the other peaks belonging to NiCu(OH) 2 also present lower intensity. Meanwhile, the peaks corresponding to the (002) facet of NiCuOOH could be observed [35,36], demonstrating the partial transformation of NiCu(OH) 2 into NiCuOOH as a result of our pre-treatment process. The XRD pattern of the NiCuOOH-2 sample, which is prepared by a higher concentration of KOH and K 2 S 2 O 8 , was also collected, and it shows peaks exclusively matching the NiCuOOH phase.…”

Section: Characterization Of Catalystsmentioning

confidence: 88%

The Enhanced Performance of NiCuOOH/NiCu(OH)2 Electrode Using Pre-Conversion Treatment for the Electrochemical Oxidation of Ammonia

Yin,

Wen,

Zhao

et al. 2024

Molecules

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Electrochemical oxidation of ammonia is an attractive process for wastewater treatment, hydrogen production, and ammonia fuel cells. However, the sluggish kinetics of the anode reaction has limited its applications, leading to a high demand for novel electrocatalysts. Herein, the electrode with the in situ growth of NiCu(OH)2 was partially transformed into the NiCuOOH phase by a pre-treatment using highly oxidative solutions. As revealed by SEM, XPS, and electrochemical analysis, such a strategy maintained the 3D structure, while inducing more active sites before the in situ generation of oxyhydroxide sites during the electrochemical reaction. The optimized NiCuOOH-1 sample exhibited the current density of 6.06 mA cm−2 at 0.5 V, which is 1.67 times higher than that of NiCu(OH)2 (3.63 mA cm−2). Moreover, the sample with a higher crystalline degree of the NiCuOOH phase exhibited lower performance, demonstrating the importance of a moderate treatment condition. In addition, the NiCuOOH-1 sample presented low selectivity (<20%) towards NO2− and stable activity during the long-term operation. The findings of this study would provide valuable insights into the development of transition metal electrocatalysts for ammonia oxidation.

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“…Kim et al have studied a flexible sensor for electrochemical sweat urea sensing based on a flexible NiCu(OOH)/polystyrene (PS) electrode with a carbon nanotube as the conductive element [ 150 ]. Herein, PS facilitated the effective electron transfer due to the porous structure.…”

Section: Nanomaterials Integrated Wearable Electrochemical Sensors@ N...mentioning

confidence: 99%

Electrochemical Nanosensors for Sensitization of Sweat Metabolites: From Concept Mapping to Personalized Health Monitoring

2023

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Sweat contains a broad range of important biomarkers, which may be beneficial for acquiring non-invasive biochemical information on human health status. Therefore, highly selective and sensitive electrochemical nanosensors for the non-invasive detection of sweat metabolites have turned into a flourishing contender in the frontier of disease diagnosis. A large surface area, excellent electrocatalytic behavior and conductive properties make nanomaterials promising sensor materials for target-specific detection. Carbon-based nanomaterials (e.g., CNT, carbon quantum dots, and graphene), noble metals (e.g., Au and Pt), and metal oxide nanomaterials (e.g., ZnO, MnO2, and NiO) are widely used for modifying the working electrodes of electrochemical sensors, which may then be further functionalized with requisite enzymes for targeted detection. In the present review, recent developments (2018–2022) of electrochemical nanosensors by both enzymatic as well as non-enzymatic sensors for the effectual detection of sweat metabolites (e.g., glucose, ascorbic acid, lactate, urea/uric acid, ethanol and drug metabolites) have been comprehensively reviewed. Along with this, electrochemical sensing principles, including potentiometry, amperometry, CV, DPV, SWV and EIS have been briefly presented in the present review for a conceptual understanding of the sensing mechanisms. The detection thresholds (in the range of mM–nM), sensitivities, linear dynamic ranges and sensing modalities have also been properly addressed for a systematic understanding of the judicious design of more effective sensors. One step ahead, in the present review, current trends of flexible wearable electrochemical sensors in the form of eyeglasses, tattoos, gloves, patches, headbands, wrist bands, etc., have also been briefly summarized, which are beneficial for on-body in situ measurement of the targeted sweat metabolites. On-body monitoring of sweat metabolites via wireless data transmission has also been addressed. Finally, the gaps in the ongoing research endeavors, unmet challenges, outlooks and future prospects have also been discussed for the development of advanced non-invasive self-health-care-monitoring devices in the near future.

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Flexible Electrochemical Sensor Based on NiCu(OOH) for Monitoring Urea in Human Sweat

Cited by 16 publications

References 49 publications

Application of Wireless Sensor Network Model Based on Big Data Ecosystem in Intelligent Health Monitoring System

Application of Wireless Sensor Network Model Based on Big Data Ecosystem in Intelligent Health Monitoring System

The Enhanced Performance of NiCuOOH/NiCu(OH)2 Electrode Using Pre-Conversion Treatment for the Electrochemical Oxidation of Ammonia

Electrochemical Nanosensors for Sensitization of Sweat Metabolites: From Concept Mapping to Personalized Health Monitoring

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