MXene/SnO2 heterojunction based chemical gas sensors

He, Tingting; Liu, Wei; LV, Tingting; Ma, Mengyao; Liu, Zhifu; Vasiliev, Alexey; Li, Xiaogan

doi:10.1016/j.snb.2020.129275

Cited by 219 publications

(111 citation statements)

References 49 publications

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“…Besides varying the morphology, the formation of the MXene-based heterostructures and composites is an effective way of improving their gas sensor performance. To date, several works were conducted on the synthesis of MXene-based composites using the hydrothermal route [ 86 ], wet spinning method [ 24 , 87 ], self-assembly process [ 48 ] and spray pyrolysis [ 88 ] synthesis approaches. The study of gas sensing properties of the obtained compounds showed great perspectives for their applications in this field.…”

Section: Mxenes—novel Two-dimensional Compoundsmentioning

confidence: 99%

“…He et al synthesized MXene structures decorated with SnO 2 nanoparticles, which exhibit excellent sensor performance to the NH 3 with the detection limit at 0.5 ppm at room temperature response/recover time shorter than 30 s [ 86 ]. The authors explained that the superior sensing properties of the fabricated structures by the increased electron numbers on the SnO 2 surface are due to the difference in the Fermi level of the MXene and SnO 2 .…”

Section: Mxenes—novel Two-dimensional Compoundsmentioning

confidence: 99%

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MXene Heterostructures as Perspective Materials for Gas Sensing Applications

Nahirniak

Saruhan

2022

Sensors

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This paper provides a summary of the recent developments with promising 2D MXene-related materials and gives an outlook for further research on gas sensor applications. The current synthesis routes that are provided in the literature are summarized, and the main properties of MXene compounds have been highlighted. Particular attention has been paid to safe and non-hazardous synthesis approaches for MXene production as 2D materials. The work so far on sensing properties of pure MXenes and MXene-based heterostructures has been considered. Significant improvement of the MXenes sensing performances not only relies on 2D production but also on the formation of MXene heterostructures with other 2D materials, such as graphene, and with metal oxides layers. Despite the limited number of research papers published in this area, recommendations on new strategies to advance MXene heterostructures and composites for gas sensing applications can be driven.

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Section: Mxenes—novel Two-dimensional Compoundsmentioning

confidence: 99%

Section: Mxenes—novel Two-dimensional Compoundsmentioning

confidence: 99%

MXene Heterostructures as Perspective Materials for Gas Sensing Applications

Nahirniak

Saruhan

2022

Sensors

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“…However, for a longer time, these optoelectronic devices remained dependent on a costly and sophisticated silicon based technology. In contrast to this, in recent years, metal oxide based hetero-junction devices received significant attention because of their low cost, easy and eco-friendly fabrication technologies [3][4][5][6][7]. Apart from the optoelectronic applications of the metal oxide based hetero-junctions, the gas sensing devices have shown augmented device performances towards many hazardous gases [6,7].…”

Section: Introductionmentioning

confidence: 99%

“…In contrast to this, in recent years, metal oxide based hetero-junction devices received significant attention because of their low cost, easy and eco-friendly fabrication technologies [3][4][5][6][7]. Apart from the optoelectronic applications of the metal oxide based hetero-junctions, the gas sensing devices have shown augmented device performances towards many hazardous gases [6,7]. This includes detection of H2S, chloroform, ammonia, CO2, NO2, NH3 and the most vulnerable hydrogen gas [7,8].…”

Section: Introductionmentioning

confidence: 99%

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Fabrication of n-ZnO/p-Si++ Hetero-junction Devices for Hydrogen Detection: Effect of Annealing Temperature

Kumar

Rawal

Kumar

2021

Preprint

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In the present study, we reports the fabrication of n-ZnO/p-Si++ hetero-junction devices for the detection of hydrogen leakage in ambient air environment. For the fabrication of n-ZnO/p-Si++ hetero-junction devices, high quality ZnO thin films are grown by controlled thermal evaporation technique on the highly doped p-type silicon substrates at 400 oC. The two sets of films deposited at 400 o C are further annealed at 500 and 600 oC to examine the effect of annealing temperature on the structural, morphology, electrical and gas sensing properties of the deposited films. It is revealed from the x-ray diffraction studies that the crystallite size, and the density of the films increase from 22.55 to 24.95 nm, from 5.65 to 5.68 g/cm3, respectively, on increasing the fabrication temperature from 400 to 600 oC. In contrast to it, the grain boundary specific surface area decrease from 8.79 x107 to 7.88 x107 m-1 on changing the fabrication temperature from 400 to 600 oC. The hydrogen gas sensing response of the fabricated devices has also been recorded at different operating temperatures and different hydrogen concentrations (200 to 1000ppm) in air ambient. It is found that the gas sensing response of the fabricated devices increase with increase in operating temperature (up to 100 oC) and decease beyond this temperature. The gas sensing responses of the devices fabricated at 400, 500 and 600 oC are found to be 97.22, 64.23 and 40.77 % at 1000 ppm of hydrogen. A decrease in gas sensing response with fabrication temperature is attributed to the increase in crystallite size (quantum size effect), density of films (i.e. lower penetration) and decrease in grain boundary specific surface area (i.e. active sites) with annealing temperature. The mechanism of the gas sensing in these devices has also been systematically analyzed under different models.

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Machine Learning‐Assisted Research and Development of Chemiresistive Gas Sensors

Yuan,

Luo,

Meng

2024

Adv Eng Mater

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The traditional trial‐and‐error testing to develop high‐performance chemiresistive gas sensors is inefficient and fails to meet the high demand for sensors in various industries. Machine learning can address the limitations of trial‐and‐error testing and can be effectively utilized for enhancing, developing, and designing sensors. This review first discusses the prediction of critical mechanism parameters of gas‐sensitive materials by machine learning, including adsorption energy, band gap, thermal conductivity, and dielectric constant. Secondly, it proposes that machine learning can improve five performance indexes: selectivity, response/recovery time, stability, sensitivity, and accuracy. Machine learning also facilitates the development and structural design of gas‐sensitive new materials. In addition, the potential of machine learning to optimize the sensor arrays is investigated, including reducing the number of sensors, identifying the best array combination, and improving recognition and detection capabilities. Finally, this paper discusses the challenges and limitations of machine‐learning assisted chemiresistive gas sensors in practical applications and envisions their future development.This article is protected by copyright. All rights reserved.

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MXene/SnO2 heterojunction based chemical gas sensors

Cited by 219 publications

References 49 publications

MXene Heterostructures as Perspective Materials for Gas Sensing Applications

MXene Heterostructures as Perspective Materials for Gas Sensing Applications

Fabrication of n-ZnO/p-Si++ Hetero-junction Devices for Hydrogen Detection: Effect of Annealing Temperature

Machine Learning‐Assisted Research and Development of Chemiresistive Gas Sensors

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