2023
DOI: 10.1016/j.jece.2022.109211
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Highly sensitive In2O3/PANI nanosheets gas sensor for NO2 detection

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Cited by 46 publications
(11 citation statements)
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“…Amu-Darko et al 220 developed a PANI-doped In 2 O 3 nanosheet heterojunction using a hydrothermal method for NO 2 sensing applications. The porous sheets provided numerous surface adsorption sites and gas diffusion paths, enhancing the gas-sensing properties.…”
Section: Strategies To Boost Gas Sensing Performance Of In2o3mentioning
confidence: 99%
“…Amu-Darko et al 220 developed a PANI-doped In 2 O 3 nanosheet heterojunction using a hydrothermal method for NO 2 sensing applications. The porous sheets provided numerous surface adsorption sites and gas diffusion paths, enhancing the gas-sensing properties.…”
Section: Strategies To Boost Gas Sensing Performance Of In2o3mentioning
confidence: 99%
“…Therefore, to reduce and control such issues, the development of NO x -based sensors is highly desirable. Several efforts have been devoted for the design of high sensitive and selective materials and methods for the detection of NO x gases. …”
Section: Introductionmentioning
confidence: 99%
“…Several efforts have been devoted for the design of high sensitive and selective materials and methods for the detection of NO x gases. 11 15 …”
Section: Introductionmentioning
confidence: 99%
“…In photocatalytic applications, the efficiency of doped TiO 2 materials depends on their shape and surface area. The use of porous nanostructured materials such as nanofibers, nanotubes, nanoparticles, and nanosheets with different properties provides advantages in many different application areas such as gas sensors, supercapacitors, and water treatment applications. ,, Nanostructured materials, especially TiO 2 in the nanoparticle form or thin films, were used to achieve the best water treatment performance . Although TiO 2 nanoparticles have a large surface area, their fixation and recovery are hardly difficult, and it causes secondary pollution in water.…”
Section: Introductionmentioning
confidence: 99%