Graphene Porous Foams for Capacitive Pressure Sensing

Kurup, Lekshmi A.; Cole, Cameron M.; Arthur, Joshua N.; Yambem, Soniya D.

doi:10.1021/acsanm.2c00247

Cited by 36 publications

(38 citation statements)

References 40 publications

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“…This is because the starting sugar template in our previous work is different from this work. Calculations of porosity are discussed in our previous work …”

Section: Resultssupporting

confidence: 89%

“…P1, which has only pores in the smaller size range, is the densest and least porous, and P3, which has the widest range of pore size, lies in between P1 and P2 (Table S3). Even though P2 has the highest porosity, its density is lower than that of our earlier graphene-coated PDMS foams, which had a porosity of ∼80% . This is because the starting sugar template in our previous work is different from this work.…”

Section: Resultsmentioning

confidence: 99%

“…With the advancement of technology, smart wearable devices have become a normal part of essential health monitoring systems. Various materials such as cotton fabrics, paper, nonwoven fabrics, poly-urethane foams, salt, sugar, Mxene, etc. and fabrication methods including coating, spinning, printing, templating, drawing, etc.…”

Section: Introductionmentioning

confidence: 99%

“…Various materials such as cotton fabrics, paper, nonwoven fabrics, poly-urethane foams, salt, sugar, Mxene, etc. and fabrication methods including coating, spinning, printing, templating, drawing, etc. have been reported for the development of wearable devices.…”

Section: Introductionmentioning

confidence: 99%

“…The dielectric constant values with and without graphene in PDMS at 1 kHz are reported as 3.21 and 2.69, respectively . Our recent investigation revealed that coating the pores of the PDMS foam with graphene results in higher sensitivities compared to graphene embedded in the PDMS foam . The PDMS foams were fabricated using a sugar templating method, which is one of the simplest techniques.…”

Section: Introductionmentioning

confidence: 99%

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Highly Sensitive Capacitive Low-Pressure Graphene Porous Foam Sensors

Kurup

Arthur

Yambem

2022

ACS Appl. Electron. Mater.

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Flexible pressure sensors are becoming increasingly popular due to their potential applications in multifunctional wearable devices. Among flexible pressure sensors, capacitive pressure sensors based on porous foams of poly(dimethylsiloxane) (PDMS) are widely investigated. In this work, we develop highly sensitive capacitive pressure sensors operating in a low-pressure range (<10 kPa) using graphene-coated PDMS foams with different ranges of pore sizes, obtained either by sugar templating or a combination of sugar templating and emulsion templating. Our analysis reveals that pressure sensors with the highest variation in pore sizes over a wide pore size range are the most sensitive and reach a high sensitivity of ∼3.7 kPa −1 (for a range of 2−6 kPa). These pressure sensors have a low limit of detection of ∼20 Pa and are able to detect small changes in pressure in many situations, demonstrating potential applications in wearable biomedical sensors. Our result shows future pathways for developing pressure sensors with higher sensitivities and, therefore, highly relevant for research in pressure sensors based on conductive foams.

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“…This is because the starting sugar template in our previous work is different from this work. Calculations of porosity are discussed in our previous work …”

Section: Resultssupporting

confidence: 89%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Highly Sensitive Capacitive Low-Pressure Graphene Porous Foam Sensors

Kurup

Arthur

Yambem

2022

ACS Appl. Electron. Mater.

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Intercalation Engineering of 2D Materials at Macroscale for Smart Human–Machine Interface and Double‐Layer to Faradaic Charge Storage for Ions Separation

Patil

Dutta

2023

Adv Materials Inter

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2D materials have attracted considerable attention in the past decade for their superlative physical properties. Lightweight foam from 2D materials can reduce the use of raw materials, save energy in processing the material and downregulate the carbon emission. Self‐assembling of graphene nanosheets results in 3D porous lightweight foam resembling hydrogels, aerogels, and xerogels. Hierarchical graphene architecture provides an uninterrupted path to electrons and phonon transport conforms to eligibility for developing sensor, energy storage, and energy conversion devices. Artificial intelligence (AI) originates from human–machine interaction and physiological signal reception which requires a large sensing range that illustrates to healthcare surveillance with wearable devices. Spongy architectures with flexibility and reversible compressibility act as a good candidate for pressure sensing for a wide range of real‐time human health monitoring systems by using artificial intelligence. In this review, the new perspective of emerging 2D materials (such as MXene, and borophene) along with the investigation of the graphene foam structure is demonstrated. Electrosorption of salt‐ions under foam electrode are reviewed in the context of electrochemical stability recycling ability, and efficiency of adsorption‐desorption. Beyond these, remaining challenges are depicted for emerging 2D‐materials of interest for health monitoring sensors and flexible supercapacitors for promising research directions.

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Template‐free Formation of Hybrid Dielectric for Flexible Capacitive Sensors with Wide‐Pressure‐Range Linear Detection

Lei,

Ji,

Ding

et al. 2023

Adv Materials Technologies

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Wearable and flexible capacitive pressure sensors have recently attracted significant attention in the fields of healthcare monitoring and intelligent human‐machine interaction. While considerable progress is made in achieving high‐pressure resolution over a wide linearity range, practical implementation still faces significant challenges due to complex manufacturing processes, as well as limited accuracy and stability for information transmission. To address these issues, inspiration is drawn from human skin and develop a new hybrid dielectric comprising a low‐permittivity (low‐k) micro‐cilia array and a high‐permittivity (high‐k) foam. Without assistance from an elaborate fabrication methodology, the template‐free method provides a cost‐effective and convenient way to realize the functional dielectric for flexible capacitive sensors. The hybrid dielectric exhibits a pressure‐induced series‐parallel conversion mechanism, enabling effective manipulation of the linear effective dielectric constant and controlled initial/resultant capacitance. Through systematic optimization, the sensor demonstrates a high sensitivity of 0.236 kPa−1 within an ultrabroad linearity range of up to 1100 kPa. Thanks to the unique characteristics of the hybrid dielectric, this device showcases potential applications in various domains including human joint motion analysis, healthcare monitoring, accurate message transmission, and convenient Morse code communication utilizing non‐overlapping capacitance signals.

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Graphene Porous Foams for Capacitive Pressure Sensing

Cited by 36 publications

References 40 publications

Highly Sensitive Capacitive Low-Pressure Graphene Porous Foam Sensors

Highly Sensitive Capacitive Low-Pressure Graphene Porous Foam Sensors

Intercalation Engineering of 2D Materials at Macroscale for Smart Human–Machine Interface and Double‐Layer to Faradaic Charge Storage for Ions Separation

Template‐free Formation of Hybrid Dielectric for Flexible Capacitive Sensors with Wide‐Pressure‐Range Linear Detection

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