An acetone gas sensor based on nanosized Pt-loaded Fe2O3 nanocubes

Zhang, Shendan; Yang, Mingjie; Liang, Kunyu; Turak, Ayse; Zhang, Bingxue; Meng, Dong; Wang, Chuanxi; Qu, Fengdong; Cheng, Wenlong; Yang, Minghui

doi:10.1016/j.snb.2019.03.082

Cited by 195 publications

(52 citation statements)

References 30 publications

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“…In an acetone atmosphere, the height of the Schottky barrier significantly decreased, leading to an enhanced response to acetone. Furthermore, it was reported that in air, some PtO x can be formed and the resultant p-n heterojunctions can enhance resistance modulation in the presence of air [127].…”

Section: Decorated/loaded Acetone Gas Sensorsmentioning

confidence: 99%

Nanostructured Metal Oxide-Based Acetone Gas Sensors: A Review

Amiri

Roshan

Mirzaei

et al. 2020

Sensors

165

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Acetone is a well-known volatile organic compound that is widely used in different industrial and domestic areas. However, it can have dangerous effects on human life and health. Thus, the realization of sensitive and selective sensors for recognition of acetone is highly important. Among different gas sensors, resistive gas sensors based on nanostructured metal oxide with high surface area, have been widely reported for successful detection of acetone gas, owing to their high sensitivity, fast dynamics, high stability, and low price. Herein, we discuss different aspects of metal oxide-based acetone gas sensors in pristine, composite, doped, and noble metal functionalized forms. Gas sensing mechanisms are also discussed. This review is an informative document for those who are working in the field of gas sensors.

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Section: Decorated/loaded Acetone Gas Sensorsmentioning

confidence: 99%

Nanostructured Metal Oxide-Based Acetone Gas Sensors: A Review

Amiri

Roshan

Mirzaei

et al. 2020

Sensors

165

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“…This method mainly depends on the electron sensitization and chemical catalysis of noble metals on the interface of materials [48,49]. Noble metal decorating can validly enhance the responsivity and selectivity of MOS sensors [50][51][52][53][54].…”

Section: Noble Metal Decoratingmentioning

confidence: 99%

“…Considering the structural stability, the noble metal is more easily destroyed than the host-sensitive nanostructure owing to the size of nanoparticles. Thus, we should pay attention to the preparation process of the noble metal decorating, the operation temperature, and the thermal stability of gas sensors [49,53,56,60].…”

Section: Noble Metal Decoratingmentioning

confidence: 99%

Improving Gas-Sensing Performance Based on MOS Nanomaterials: A Review

et al. 2021

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In order to solve issues of air pollution, to monitor human health, and to promote agricultural production, gas sensors have been used widely. Metal oxide semiconductor (MOS) gas sensors have become an important area of research in the field of gas sensing due to their high sensitivity, quick response time, and short recovery time for NO2, CO2, acetone, etc. In our article, we mainly focus on the gas-sensing properties of MOS gas sensors and summarize the methods that are based on the interface effect of MOS materials and micro–nanostructures to improve their performance. These methods include noble metal modification, doping, and core-shell (C-S) nanostructure. Moreover, we also describe the mechanism of these methods to analyze the advantages and disadvantages of energy barrier modulation and electron transfer for gas adsorption. Finally, we put forward a variety of research ideas based on the above methods to improve the gas-sensing properties. Some perspectives for the development of MOS gas sensors are also discussed.

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“…To date, various materials have been developed and used for resistive-type sensing, such as carbon materials (graphene/reduced graphene oxide (rGO) [15][16][17][18], carbon nanotubes (CNTs) [9,19], carbon and graphene dots [20][21][22], three-dimensional (D) graphene [23,24], etc. ), 2D transition metal dichalcogenides (TMDCs) [25,26], metal oxides (zinc oxide (ZnO) [27], tin oxide (SnO 2 ) [28], tita-nium oxide (TiO 2 ) [29], tungsten oxide (WO 3 ) [30], indium oxide (In 2 O 3 ) [31,32], nickel oxide (NiO) [33], iron oxide (Fe 2 O 3 ) [34][35][36], etc.) [6,37,38], and noble metal catalysts (pallidum (Pd), platinum (Pt), gold (Au), silver (Ag), aluminum (Al), rhodium (Rh), etc.)…”

Section: Introductionmentioning

confidence: 99%

Chemical Gas Sensors: Recent Developments, Challenges, and the Potential of Machine Learning—A Review

Yaqoob

Younis

2021

Sensors

132

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Nowadays, there is increasing interest in fast, accurate, and highly sensitive smart gas sensors with excellent selectivity boosted by the high demand for environmental safety and healthcare applications. Significant research has been conducted to develop sensors based on novel highly sensitive and selective materials. Computational and experimental studies have been explored in order to identify the key factors in providing the maximum active location for gas molecule adsorption including bandgap tuning through nanostructures, metal/metal oxide catalytic reactions, and nano junction formations. However, there are still great challenges, specifically in terms of selectivity, which raises the need for combining interdisciplinary fields to build smarter and high-performance gas/chemical sensing devices. This review discusses current major gas sensing performance-enhancing methods, their advantages, and limitations, especially in terms of selectivity and long-term stability. The discussion then establishes a case for the use of smart machine learning techniques, which offer effective data processing approaches, for the development of highly selective smart gas sensors. We highlight the effectiveness of static, dynamic, and frequency domain feature extraction techniques. Additionally, cross-validation methods are also covered; in particular, the manipulation of the k-fold cross-validation is discussed to accurately train a model according to the available datasets. We summarize different chemresistive and FET gas sensors and highlight their shortcomings, and then propose the potential of machine learning as a possible and feasible option. The review concludes that machine learning can be very promising in terms of building the future generation of smart, sensitive, and selective sensors.

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An acetone gas sensor based on nanosized Pt-loaded Fe2O3 nanocubes

Cited by 195 publications

References 30 publications

Nanostructured Metal Oxide-Based Acetone Gas Sensors: A Review

Nanostructured Metal Oxide-Based Acetone Gas Sensors: A Review

Improving Gas-Sensing Performance Based on MOS Nanomaterials: A Review

Chemical Gas Sensors: Recent Developments, Challenges, and the Potential of Machine Learning—A Review

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