A 3D scaffold for ultra-sensitive reduced graphene oxide gas sensors

Yun, Yong Ju; Hong, Won G.; Choi, Nak-Jin; Park, Hyung Ju; Moon, Seung Eon; Kim, Byung Hoon; Song, Ki Bong; Jun, Yongseok; Lee, Hyung-Kun

doi:10.1039/c4nr00332b

Cited by 69 publications

(36 citation statements)

References 39 publications

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“…Graphene‐based gas and vapor sensors have been drawn significant attentions from scientific community for a range of practical applications including human health, public safety, environmental monitoring, and so on . Self‐assembled graphene structures are considered as promising candidates for high‐performance sensing, and they will potentially replace traditional analysis instruments based on semiconductors and gas chromatography mass spectrometry . Gas/vapor sensors can be classified mainly into chemoresistors, field‐effect transistors (FETs), surface work function change transistors, surface acoustic wave sensors, and optical fiber sensors based upon their detection methods .…”

Section: Graphene Assemblies For Gas and Vapor Sensorsmentioning

confidence: 99%

Recent Advances in Sensing Applications of Graphene Assemblies and Their Composites

Tùng

Nine

Krebsz

et al. 2017

Adv Funct Materials

242

139

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Development of next-generation sensor devices is gaining tremendous attention in both academia and industry because of their broad applications in manufacturing processes, food and environment control, medicine, disease diagnostics, security and defense, aerospace, and so forth. Current challenges include the development of low-cost, ultrahigh, and user-friendly sensors, which have high selectivity, fast response and recovery times, and small dimensions. The critical demands of these new sensors are typically associated with advanced nanoscale sensing materials. Among them, graphene and its derivatives have demonstrated the ideal properties to overcome these challenges and have merged as one of the most popular sensing platforms for diverse applications. A broad range of graphene assemblies with different architectures, morphologies, and scales (from nano-, micro-, to macrosize) have been explored in recent years for designing new high-performing sensing devices. Herein, this study presents and discusses recent advances in synthesis strategies of assembled graphene-based superstructures of 1D, 2D, and 3D macroscopic shapes in the forms of fibers, thin films, and foams/aerogels. The fabricated state-of-the-art applications of these materials in gas and vapor, biomedical, piezoresistive strain and pressure, heavy metal ion, and temperature sensors are also systematically reviewed and discussed, and their sensing performance is compared.

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Section: Graphene Assemblies For Gas and Vapor Sensorsmentioning

confidence: 99%

Recent Advances in Sensing Applications of Graphene Assemblies and Their Composites

Tùng

Nine

Krebsz

et al. 2017

Adv Funct Materials

242

139

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“…However, emission of harmful byproducts and pollutants, such as nitrogen oxides (NO x ), carbon oxides (CO x ), sulfur oxides (SO x ), ammonia (NH 3 ) and so on, have also increased signifi cantly and endangered our health and environment over the long term. To monitor chemical materials exhibited many interesting advantages, such as increasing surface-to-volume ratio, mass transport, reactive site density over a specifi c device area, [ 26,27 ] for supercapacitor [ 28,29 ] and other electrochemical applications.…”

Section: Introductionmentioning

confidence: 99%

High Performance Three‐Dimensional Chemical Sensor Platform Using Reduced Graphene Oxide Formed on High Aspect‐Ratio Micro‐Pillars

Duy

Kim

Trung

et al. 2014

Adv Funct Materials

171

174

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The sensing performance of chemical sensors can be achieved not only by modification or hybridization of sensing materials but also through new design in device geometry. The performance of a chemical sensing device can be enhenced from a simple three‐dimensional (3D) chemiresistor‐based gas sensor platform with an increased surface area by forming networked, self‐assembled reduced graphene oxide (R‐GO) nanosheets on 3D SU8 micro‐pillar arrays. The 3D R‐GO sensor is highly responsive to low concentration of ammonia (NH3) and nitrogen dioxide (NO2) diluted in dry air at room temperature. Compared to the two‐dimensional planar R‐GO sensor structure, as the result of the increase in sensing area and interaction cross‐section of R‐GO on the same device area, the 3D R‐GO gas sensors show improved sensing performance with faster response (about 2%/s exposure), higher sensitivity, and even a possibly lower limit of detection towards NH3 at room temperature.

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“…In one research, NO 2 sensors were fabricated using electrospun nylon nanofibers which were coated with reduced graphene oxide on surface [28]. As shown in Fig.…”

Section: Sensorsmentioning

confidence: 99%

Applications of Electrospun Nanofibers for Electronic Devices

Fang¹,

Shao²,

Niu³

et al. 2015

Handbook of Smart Textiles

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In recent decades, electrospinning of nanofibers has progressed very rapidly in both scientific and technological aspects, and electrospun nanofibers have shown enormous potential for various applications. In particular, electrospun nanofibers have significantly enhanced the application performance of many electronic devices, such as solar cells, mechanical-to-electric energy harvesters, rechargeable batteries, supercapacitors, sensors, field-effect transistors, diodes, photodetectors, and electrochromic devices. This chapter provides a comprehensive summary on the recent progress in the application of electrospun nanofibers in electronic devices.

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A 3D scaffold for ultra-sensitive reduced graphene oxide gas sensors

Cited by 69 publications

References 39 publications

Recent Advances in Sensing Applications of Graphene Assemblies and Their Composites

Recent Advances in Sensing Applications of Graphene Assemblies and Their Composites

High Performance Three‐Dimensional Chemical Sensor Platform Using Reduced Graphene Oxide Formed on High Aspect‐Ratio Micro‐Pillars

Applications of Electrospun Nanofibers for Electronic Devices

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