A review of wearable carbon-based sensors for strain detection: fabrication methods, properties, and mechanisms

Zhang, Yingying; Xiao, Qiyue; Wang, Qiuyan; Zhang, Yan; Wang, Ping; Li, Yuanyuan

doi:10.1177/00405175221148263

Cited by 7 publications

(10 citation statements)

References 77 publications

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“…It is directly proportional to the fermi energy from their mathematical relationship where the proportionality constant is − 1. It is also a suitable indicator that provides a better understanding of the reactivity and sensitivity of nanostructures towards adsorption of different molecules 70 , 71 . From the Table 5 , the work function values ranged from − 3.279 to − 8.191 eV.…”

Section: Resultsmentioning

confidence: 99%

Metals (Ga, In) decorated fullerenes as nanosensors for the adsorption of 2,2-dichlorovinyldimethylphosphate agrochemical based pollutant

Akpe

Okon

Louis

et al. 2023

Sci Rep

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Owing to the fact that the use of 2,2-dichlorovinyldimethylphosphate (DDVP) as an agrochemical has become a matter of concern due to its persistence and potential harm to the environment and human health. Detecting and addressing DDVP contamination is crucial to protect human health and mitigate ecological impacts. Hence, this study focuses on harnessing the properties of fullerene (C60) carbon materials, known for their biological activities and high importance, to develop an efficient sensor for DDVP. Additionally, the sensor's performance is enhanced by doping it with gallium (Ga) and indium (In) metals to investigate the sensing and trapping capabilities of DDVP molecules. The detection of DDVP is carefully examined using first-principles density functional theory (DFT) at the Def2svp/B3LYP-GD3(BJ) level of theory, specifically analyzing the adsorption of DDVP at the chlorine (Cl) and oxygen (O) sites. The adsorption energies at the Cl site were determined as − 57.894 kJ/mol, − 78.107 kJ/mol, and − 99.901 kJ/mol for Cl_DDVP@C60, Cl_DDVP@Ga@C60, and Cl_DDVP@In@C60 interactions, respectively. At the O site, the adsorption energies were found to be − 54.400 kJ/mol, − 114.060 kJ/mol, and − 114.056 kJ/mol for O_DDVP@C60, O_DDVP@Ga@C60, and O_DDVP@In@C60, respectively. The adsorption energy analysis highlights the chemisorption strength between the surfaces and the DDVP molecule at the Cl and O sites of adsorption, indicating that the O adsorption site exhibits higher adsorption energy, which is more favorable according to the thermodynamics analysis. Thermodynamic parameters (∆H and ∆G) obtained from this adsorption site suggest considerable stability and indicate a spontaneous reaction in the order O_DDVP@Ga@C60 > O_DDVP@In@C60 > O_DDVP@C60. These findings demonstrate that the metal-decorated surfaces adsorbed on the oxygen (O) site of the biomolecule offer high sensitivity for detecting the organophosphate molecule DDVP.

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Section: Resultsmentioning

confidence: 99%

Metals (Ga, In) decorated fullerenes as nanosensors for the adsorption of 2,2-dichlorovinyldimethylphosphate agrochemical based pollutant

Akpe

Okon

Louis

et al. 2023

Sci Rep

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“…There has been a lot of research that focuses on the development of carbonbased strain sensors for physiological-signal monitoring. For more details, readers may consult the following recent reviews [16,17]. Strain sensors work by converting signals of mechanical deformation into electrical signals.…”

Section: Carbon-based Textile Sensors For Body Motion Monitoringmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Recently, several reviews have been reported of wearable flexible sensors for physiologicalsignal monitoring [16][17][18]. However, most reviews focus on the development of carbonbased strain sensors for physiological-signal monitoring [16,17]. A detailed overview of wearable flexible sensors combining carbon-based materials and textiles for physiologicalsignal monitoring has not been reported.…”

Section: Introductionmentioning

confidence: 99%

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Carbon-Based Textile Sensors for Physiological-Signal Monitoring

Shao

Cui

et al. 2023

Materials

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As the focus on physical health increases, the market demand for flexible wearable sensors increases. Textiles combined with sensitive materials and electronic circuits can form flexible, breathable high-performance sensors for physiological-signal monitoring. Carbon-based materials such as graphene, carbon nanotubes (CNTs), and carbon black (CB) have been widely utilized in the development of flexible wearable sensors due to their high electrical conductivity, low toxicity, low mass density, and easy functionalization. This review provides an overview of recent advancements in carbon-based flexible textile sensors, highlighting the development, properties, and applications of graphene, CNTs, and CB for flexible textile sensors. The physiological signals that can be monitored by carbon-based textile sensors include electrocardiogram (ECG), human body movement, pulse and respiration, body temperature, and tactile perception. We categorize and describe carbon-based textile sensors based on the physiological signals they monitor. Finally, we discuss the current challenges associated with carbon-based textile sensors and explore the future direction of textile sensors for monitoring physiological signals.

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“…The results show that the biscrolled HGSP yarn exhibits a rapid response time and high sensitivity to flammable H 2 concentrations, and it can even detect H 2 gas leakage in curved and jointed areas in real time. Zhang et al [ 29 ] conducted a review of carbon-based flexible wearable sensors and their fabrication, performance, and working mechanisms. The study concluded that CNTs and graphene can be added to various macrostructures to create flexible sensors in the form of films, fibers, yarns, or fabrics.…”

Section: Introductionmentioning

confidence: 99%

Damage Monitoring of Braided Composites Using CNT Yarn Sensor Based on Artificial Fish Swarm Algorithm

Wang

Jia

et al. 2023

Sensors

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This study aims to enable intelligent structural health monitoring of internal damage in aerospace structural components, providing a crucial means of assuring safety and reliability in the aerospace field. To address the limitations and assumptions of traditional monitoring methods, carbon nanotube (CNT) yarn sensors are used as key elements. These sensors are woven with carbon fiber yarns using a three-dimensional six-way braiding process and cured with resin composites. To optimize the sensor configuration, an artificial fish swarm algorithm (AFSA) is introduced, simulating the foraging behavior of fish to determine the best position and number of CNT yarn sensors. Experimental simulations are conducted on 3D braided composites of varying sizes, including penetration hole damage, line damage, and folded wire-mounted damage, to analyze the changes in the resistance data of carbon nanosensors within the damaged material. The results demonstrate that the optimized configuration of CNT yarn sensors based on AFSA is suitable for damage monitoring in 3D woven composites. The experimental positioning errors range from 0.224 to 0.510 mm, with all error values being less than 1 mm, thus achieving minimum sensor coverage for a maximum area. This result not only effectively reduces the cost of the monitoring system, but also improves the accuracy and reliability of the monitoring process.

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A review of wearable carbon-based sensors for strain detection: fabrication methods, properties, and mechanisms

Cited by 7 publications

References 77 publications

Metals (Ga, In) decorated fullerenes as nanosensors for the adsorption of 2,2-dichlorovinyldimethylphosphate agrochemical based pollutant

Metals (Ga, In) decorated fullerenes as nanosensors for the adsorption of 2,2-dichlorovinyldimethylphosphate agrochemical based pollutant

Carbon-Based Textile Sensors for Physiological-Signal Monitoring

Damage Monitoring of Braided Composites Using CNT Yarn Sensor Based on Artificial Fish Swarm Algorithm

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