Material dependent and temperature driven adsorption switching (p- to n- type) using CNT/ZnO composite-based chemiresistive methanol gas sensor

Sinha, Madhumita; Neogi, Subhadip; Mahapatra, Rajat; Krishnamurthy, S.; Ghosh, Ranajit

doi:10.1016/j.snb.2021.129729

Cited by 53 publications

(30 citation statements)

References 46 publications

(49 reference statements)

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“…The identification of these gases is crucial for saving the environment and humans from the dangers posed by the gases generated by the combustion of fossil fuels. In consideration of gas sensor applications, the physical and chemical characteristics of CNTs were discussed critically in many works [ 125 , 126 , 127 , 128 , 129 , 130 ]. Some metallic nanoparticles such as Pd, Pt, Au, Ag, Rh, Pb, and Sn have catalytic properties and allow for the specific binding of gas molecules.…”

Section: Potential Applications Of Cntsmentioning

confidence: 99%

Mechanical Performance and Applications of CNTs Reinforced Polymer Composites—A Review

et al. 2021

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Developments in the synthesis and scalable manufacturing of carbon nanomaterials like carbon nanotubes (CNTs) have been widely used in the polymer material industry over the last few decades, resulting in a series of fascinating multifunctional composites used in fields ranging from portable electronic devices, entertainment and sports to the military, aerospace, and automotive sectors. CNTs offer good thermal and electrical properties, as well as a low density and a high Young’s modulus, making them suitable nanofillers for polymer composites. As mechanical reinforcements for structural applications CNTs are unique due to their nano-dimensions and size, as well as their incredible strength. Although a large number of studies have been conducted on these novel materials, there have only been a few reviews published on their mechanical performance in polymer composites. As a result, in this review we have covered some of the key application factors as well as the mechanical properties of CNTs-reinforced polymer composites. Finally, the potential uses of CNTs hybridised with polymer composites reinforced with natural fibres such as kenaf fibre, oil palm empty fruit bunch (OPEFB) fibre, bamboo fibre, and sugar palm fibre have been highlighted.

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Section: Potential Applications Of Cntsmentioning

confidence: 99%

Mechanical Performance and Applications of CNTs Reinforced Polymer Composites—A Review

et al. 2021

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“…The human brain is a very complex perceptual learning system. , Our nervous system can perceive different types of sensory information including hearing, smell, and vision. − Simulating these sensory learning functions of the human body is of great significance for building neural computing systems and brainlike computers in future. − With the development of the electronic information technology and artificial intelligence, a double-terminal memristor and a multiterminal synaptic transistor have been widely concerned and have been applied in the application of visual sensing and tactile sensing. − Smell is also an important part of the human sensory nervous system, but the relevant research on it is less. At present, the research of gas sensing mainly focuses on the resistance type and transistor type for toxic gas detection. − These resistivity-based and transistor-based sensors simply convert gas concentrations into electrical signals and do not have the same learning and memory functions as synapses, which cannot meet the requirements of artificial intelligence systems. To solve this problem, we propose a new sensing idea to induce synaptic properties of the activated transistor by adjusting the oxygen vacancy in the active layer of the transistor.…”

Section: Introductionmentioning

confidence: 99%

Oxygen-Vacancy-Induced Synaptic Plasticity in an Electrospun InGdO Nanofiber Transistor for a Gas Sensory System with a Learning Function

Lei

et al. 2022

ACS Appl. Mater. Interfaces

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The perceptual learning function of a simulating human body is very important for constructing a neural computing system and a brainlike computer in the future. The sense of smell is an important part of the human sensory nervous system. However, current gas sensors simply convert gas concentrations into electrical signals and do not have the same learning and memory function as synapses. To solve this problem, we propose a new sensing idea to induce and activate the synaptic properties of transistors by adjusting the oxygen vacancy in the active layer. This sensor combines gas detection with synaptic memory and learning and overcomes the disadvantage of the separation of synaptic transistors and sensors, thus greatly reducing the cost of production. This work combines the detection of N,N-dimethylformamide (DMF) gas with the synaptic mechanism of human olfactory nerves. We successfully fabricated an InGdO nanofiber field-effect transistor by electrostatic spinning and simulated the response of human olfactory synapses to target gas by regulating the oxygen vacancy of the InGdO nanofiber. The synaptic transistor response under different concentrations of unmodulated pulses is tested, and the pavlovian conditioned reflex experiment is simulated successfully. This work provides a new idea of a gas sensor device, which is very important for the development of high-performance gas sensors and bionic electronic devices in the future.

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“…Hybridization of MOXs with conductive materials such as graphene derivatives 21,22 and carbon nanotubes 23,24 can improve their gas sensing performances. For instance, reduced graphene oxide (rGO), which possesses excellent electrical conductivity, large specic surface area, and good surface activity, has been wildly utilized to composite with MOXs for gas sensing.…”

Section: Introductionmentioning

confidence: 99%

Ligand-assisted deposition of ultra-small Au nanodots on Fe₂O₃/reduced graphene oxide for flexible gas sensors

et al. 2022

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Material dependent and temperature driven adsorption switching (p- to n- type) using CNT/ZnO composite-based chemiresistive methanol gas sensor

Cited by 53 publications

References 46 publications

Mechanical Performance and Applications of CNTs Reinforced Polymer Composites—A Review

Mechanical Performance and Applications of CNTs Reinforced Polymer Composites—A Review

Oxygen-Vacancy-Induced Synaptic Plasticity in an Electrospun InGdO Nanofiber Transistor for a Gas Sensory System with a Learning Function

Ligand-assisted deposition of ultra-small Au nanodots on Fe₂O₃/reduced graphene oxide for flexible gas sensors

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Material dependent and temperature driven adsorption switching (p- to n- type) using CNT/ZnO composite-based chemiresistive methanol gas sensor

Cited by 53 publications

References 46 publications

Mechanical Performance and Applications of CNTs Reinforced Polymer Composites—A Review

Mechanical Performance and Applications of CNTs Reinforced Polymer Composites—A Review

Oxygen-Vacancy-Induced Synaptic Plasticity in an Electrospun InGdO Nanofiber Transistor for a Gas Sensory System with a Learning Function

Ligand-assisted deposition of ultra-small Au nanodots on Fe2O3/reduced graphene oxide for flexible gas sensors

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Ligand-assisted deposition of ultra-small Au nanodots on Fe₂O₃/reduced graphene oxide for flexible gas sensors