Highly Conductive and Flexible Dopamine–Graphene Hybrid Electronic Textile Yarn for Sensitive and Selective NO<sub>2</sub> Detection

Lee, Sang Won; Jung, Hyo Gi; Kim, Insu; Lee, Dongtak; Kim, Woong; Kim, Sang Hun; Lee, Jong Heun; Park, Jinsung; Lee, Jeong Hoon; Lee, Gyudo; Yoon, Dae Sung

doi:10.1021/acsami.0c11435

Cited by 34 publications

(26 citation statements)

References 63 publications

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“…In SEM images, both the RGO/F BLG /CYs before and after washing possessed numerous wrinkles and ripples on their surface, exhibiting no significant difference between both of them (Figure S8, Supporting Information). 39 The washed RGO/F BLG /CYs were respectively exposed to 10 ppm NO 2 for 6 min, and their electrical currents were measured by the I−V analyzer. Figure S7b shows the electrical currents of the RGO/F BLG / CYs exposed to 10 ppm NO 2 with respect to the washing cycle.…”

Section: ■ Results and Discussionmentioning

confidence: 99%

“…Accordingly, what type of sensor exhibit more improved conductivity depends on the number of graphene flakes attached to each sensor (Figure S5, Supporting Information). We measured the response characteristics of the e-textile yarns by exposing them to a constant concentration (100 ppm) of NO 2 for 15 min and then plotted the changes in electrical current (Δ I = I – I 0 , where I 0 and I denote the electrical current before and after exposure to the target analyte, respectively) (Figure a). The plots showed that all Δ I s for the five types of e-textile yarns exponentially increased for 15 min.…”

Section: Resultsmentioning

confidence: 99%

“…The washability test was performed by immersing the RGO/F BLG /CYs into soapy water. 39 The soapy water was prepared by soaking a commercial solid soap into distilled water in a glass dish. A magnetic bar was placed in the glass dish and stirred with 500 rpm to evenly wash the RGO/ F BLG /CYs.…”

Section: ■ Experimental Sectionmentioning

confidence: 99%

“…The RGO/F BLG /CY was bent up to 1000 times at a scan rate of 1 cm/s. 39 The electrical conductivity of the RGO/F BLG /CY was measured by the I−V meter every twenty intervals in the bending cycle. Similarly, we also…”

Section: ■ Experimental Sectionmentioning

confidence: 99%

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Bio-Inspired Electronic Textile Yarn-Based NO₂ Sensor Using Amyloid–Graphene Composite

Lee

Kim

et al. 2020

ACS Sens.

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Graphene-based e-textile gas sensors have received significant attention as wearable electronic devices for human healthcare and environmental monitoring. Theoretically, more the attached graphene on the devices, better is the gas-sensing performance. However, it has been hampered by poor adhesion between graphene and textile platforms. Meanwhile, amyloid nanofibrils are reputed for their ability to improve adhesion between materials, including between graphene and microorganisms. Despite that fact, there has been no attempt to apply amyloid nanofibrils to fabricate graphene-based e-textiles. By biomimicking the adhesion ability of amyloid nanofibrils, herein, we developed a graphene−amyloid nanofibril hybrid e-textile yarn (RGO/amyloid nanofibril/CY) for the detection of NO 2 . Compared to traditional e-textile yarn, the RGO/amyloid nanofibril/CY showed better performance in response time, sensing efficiency, sensitivity, and selectivity for NO 2 . Last, we suggested a practical use of RGO/ amyloid nanofibril/CY combined with a light-emitting diode as a wearable e-textile gas sensor.

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Section: ■ Results and Discussionmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: ■ Experimental Sectionmentioning

confidence: 99%

Section: ■ Experimental Sectionmentioning

confidence: 99%

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Bio-Inspired Electronic Textile Yarn-Based NO₂ Sensor Using Amyloid–Graphene Composite

Lee

Kim

et al. 2020

ACS Sens.

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“…Electronic textiles (e-textiles) have attracted signi cant attention in various applications, including chemical gas sensors (Lee et To fabricate the graphene e-textiles, graphene has been attempted to coat on various 1-dimensional textiles (e.g., cotton yarn, nylon-6 yarn, and polyester yarn) (Lee et al 2021b; Lee et al 2020;Yun et al 2013; Ju Yun et al 2015). According to the literature, graphene e-textiles exhibit mechanical exibility, washability, and the ability to sense toxic gases (Lee et al 2020; Lee et al 2021b). Thus, graphene etextiles have the potential to be used as wearable sensors for detecting toxic gases and even for monitoring human health from their breath.…”

Section: Introductionmentioning

confidence: 99%

Bioinspired Lotus Fiber-Based Graphene Electronic Textile For Gas Sensing

Cheong

Lee

Jung

et al. 2021

Preprint

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Graphene electronic textiles (e-textiles) have attracted significant attention in various sensing applications owing to their strong advantages. During the fabrication of these textiles, there are factors to consider, such as electrical conductivity, mechanical flexibility, weight, and applicability in other practical applications. Bioinspired lotus fiber has appropriate advantages to be used as graphene e-textiles, including lightweight (<1 mg), eco-friendliness, crease-resistant, pilling resistance, and flexibility. However, lotus fiber-based graphene e-textiles have not yet been reported. In this study, we developed a reduced graphene oxide‒coated lotus fiber (RGOLF) which was successfully fabricated by the hydrogen interaction between graphene flakes and cellulose fiber. The RGOLF exhibited a higher electrical conductivity (4.63 ± 0.22 μS) and a remarkable sensing performance for hazardous NO2 gas molecules within a short exposure time (~3 min), including a low detection limit (~1 ppm), selectivity, and resistance to relative humidity. Moreover, we verified the mechanical flexibility of RGOLF through a 1,000-cycle bending test. These results suggest that the bioinspired RGOLF could be used as a gas sensor in environmental air with a strong potential for use in various wearable applications.

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PEDOTS:PSS@KNF Wire‐Shaped Electrodes for Textile Symmetrical Capacitor

Gibertini

Magagnin

2022

Adv Materials Inter

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represent a more reliable, safer, and longer lifecycle alternative. A number of fibers made of graphene, carbon nanotubes, conductive polymer and, more recently, MXenes were successfully obtained by wet-spinning technique and investigated as 1D electrodes for wearable supercapacitors. [17][18][19][20][21][22][23][24][25][26][27][28][29] However, these materials usually involve complex procedure for their synthesis, harmful dispersant solvent or post-treatment steps to produce fibers with sufficient mechanical resistance and electrochemical performances. Aramid nanofibers (ANFs) have been recently proposed as a new nanoscale building block to design new composite materials. [30] Contrary to standard route based on monomer polymerization, ANFs can be easily and quickly obtained through top-down approach by dissolution of aramid polymeric chains and then re-assembled in macroscopic fibers or film by solution processing. [30,31] Aramid polymer is well-known for its mechanical strength but it's not electrically conductive and must be loaded with conductive fillers to achieve electronic transport. Up to date, ANFs have been mainly investigated as filler for polymers reinforcement, [32,33] matrix for multi-purpose membranes, [34][35][36][37] thermal shields, [38,39] and even additive for separators and solid-state electrolyte for Li-ion batteries. [40,41] However, despite the good wet-spinnability of KNF dispersions, only poor attention was paid to the employment of ANFs for making FSCs. In previous work, Cao et al. fabricated fibers with core-shell structure by co wet-spinning a core carbon nanotube dispersion and a sheath ANFs dispersion. [42] The symmetrical FSCs obtained by infiltration with H 3 PO 4 /PVA gel electrolyte showed a remarkable linear capacity up to 0.75 mF cm −1 . Wang et al. loaded graphene nanoplatelets (GNPs) to a ANF dispersion to obtain a ANFs/GNPs composite wire-shaped electrodes by coagulation in a water/acetic acid solution. [43] However, their results showed that GNPs interfered with the ANFs coagulation by hydrogen bonds restoration between terephthalamide units resulting in a consistent decrease of the tensile strength at high GNPs incorporation in the ANFs matrix.In this work, PEDOT:PSS@KNFs composite fibers were produced by a simple two-step process involving the nanofibrillation of Kevlar to Kevlar nanofibers (KNF), wet-spinning of the KNF fiber and the following soaking into a PEDOT:PSS aqueous dispersion. In this way, electrically conductive fibers were obtained due to the conductive PEDOT:PSS chains percolation keeping almost unaltered the mechanical resistance of the KNF matrix. The PEDOT:PSS@KNF fibers were flexible, knittable and sewable, and by coupling adjacent two fibers, a symmetric FSC couldThe emerging wearable electronics and e-textiles have motivated tremendous interests in textile energy storage microdevices. Among them, fiber-shaped capacitors (FSCs) offer unique properties because of their 1D configuration and reliable energy storage. In recent years, many works focused o...

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Highly Conductive and Flexible Dopamine–Graphene Hybrid Electronic Textile Yarn for Sensitive and Selective NO₂ Detection

Cited by 34 publications

References 63 publications

Bio-Inspired Electronic Textile Yarn-Based NO₂ Sensor Using Amyloid–Graphene Composite

Bio-Inspired Electronic Textile Yarn-Based NO₂ Sensor Using Amyloid–Graphene Composite

Bioinspired Lotus Fiber-Based Graphene Electronic Textile For Gas Sensing

PEDOTS:PSS@KNF Wire‐Shaped Electrodes for Textile Symmetrical Capacitor

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Highly Conductive and Flexible Dopamine–Graphene Hybrid Electronic Textile Yarn for Sensitive and Selective NO2 Detection

Cited by 34 publications

References 63 publications

Bio-Inspired Electronic Textile Yarn-Based NO2 Sensor Using Amyloid–Graphene Composite

Bio-Inspired Electronic Textile Yarn-Based NO2 Sensor Using Amyloid–Graphene Composite

Bioinspired Lotus Fiber-Based Graphene Electronic Textile For Gas Sensing

PEDOTS:PSS@KNF Wire‐Shaped Electrodes for Textile Symmetrical Capacitor

Contact Info

Product

Resources

About

Highly Conductive and Flexible Dopamine–Graphene Hybrid Electronic Textile Yarn for Sensitive and Selective NO₂ Detection

Bio-Inspired Electronic Textile Yarn-Based NO₂ Sensor Using Amyloid–Graphene Composite

Bio-Inspired Electronic Textile Yarn-Based NO₂ Sensor Using Amyloid–Graphene Composite