Metal-organic framework-derived porous SnO2 nanosheets with grain sizes comparable to Debye length for formaldehyde detection with high response and low detection limit

Zhu, Xiaojie; Zhang, Xinlu; Chang, Xueting; Li, Junfeng; Pan, Likun; Jiang, Yaojia; Gao, Weixiang; Gao, Chenyang; Sun, Shibin

doi:10.1016/j.snb.2021.130599

Cited by 40 publications

(25 citation statements)

References 57 publications

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“…TEA sensors based on various metal oxide semiconductors (MOSs) have been intensively explored on account of their micro size, low energy consumption and high sensitivity in the past few decades . These MOSs mainly include some binary metal oxides, such as ZnO, , In 2 O 3 , SnO 2 , , WO 3 , α-Fe 2 O 3 , NiO, Co 3 O 4 , Cu X O, , etc.…”

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confidence: 99%

Electrospinning Derived NiO/NiFe₂O₄ Fiber-in-Tube Composite for Fast Triethylamine Detection under Different Humidity

et al. 2022

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Designing high-performance triethylamine gas sensors with the stable gas response and low resistance variation in air under a wide relative humidity range is expected for human health and environmental surveillance. Here, a novel porous NiO/NiFe2O4 fiber-in-tube nanostructure is prepared by the electrospinning process. The characterizations related to microstructure and surface morphology are carried out. Meanwhile, the gas sensing performance of the porous fiber-in-tube NiO/NiFe2O4 materials is evaluated and compared systematically. The results indicate that the introduction of NiO as the second component can not only reduce the baseline resistance of NiFe2O4 gas sensors dramatically but also optimize the gas sensing performance to a significant extent. Especially, the fabricated sensor based on the NiO/NiFe2O4 fiber-in-tube with a Ni/Fe molar ratio of 1.5 exhibits the best performance. The gas response while detecting 50 ppm triethylamine at 300 °C is about 3.6 times higher than that with Ni/Fe molar ratio of 0.5. Moreover, the response values become more stable, and the baseline resistance has a lower variation under a wide relative humidity range, demonstrating the excellent humidity resistance. These phenomena might be ascribed to the distinctive fiber-in-tube nanostructure as well as the heterojunction between NiFe2O4 and NiO.

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confidence: 99%

Electrospinning Derived NiO/NiFe₂O₄ Fiber-in-Tube Composite for Fast Triethylamine Detection under Different Humidity

et al. 2022

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“…The W18O49/Ti3C2T x composite structure on the surface of the flakes had a high response to low concentrations of acetone and long-term stability, making it an ideal choice. Elsewhere, researchers have formed porous SnO 2 nanosheets formed by direct calcination, which imbues the sensor with ideal selectivity, excellent repeatability, and cycling stability [36]. A new 2D/2D-based portable real-time acetone concentration integrated detection system has also proposed, which has the characteristics of the real-time monitoring of acetone concentration and low energy consumption [37].…”

Section: Methodsmentioning

confidence: 99%

“…Among them, tung oxide has been extensively researched due to its excellent chemical, physical stability good structural controllability [34]. A composite gas sensor was proposed based on dimensional W18O49 nanorods (NRs) and two-dimensional Ti3C2Tx Mxene flakes The W18O49/Ti3C2Tx composite structure on the surface of the flakes had a high resp to low concentrations of acetone and long-term stability, making it an ideal ch Elsewhere, researchers have formed porous SnO2 nanosheets formed by direct calcina which imbues the sensor with ideal selectivity, excellent repeatability, and cy stability [36]. A new 2D/2D-based portable real-time acetone concentration integr detection system has also proposed, which has the characteristics of the realmonitoring of acetone concentration and low energy consumption [37].…”

Section: Methodsmentioning

confidence: 99%

An Improved Dictionary-Based Method for Gas Identification with Electronic Nose

et al. 2022

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The dictionary learning algorithm has been successfully applied to electronic noses because of its high recognition rate. However, most dictionary learning algorithms use l0-norm or l1-norm to regularize the sparse coefficients, which means that the electronic nose takes a long time to test samples and results in the inefficiency of the system. Aiming at accelerating the recognition speed of the electronic nose system, an efficient dictionary learning algorithm is proposed in this paper where the algorithm performs a multi-column atomic update. Meanwhile, to solve the problem that the singular value decomposition of the k-means (K-SVD) dictionary has little discriminative power, a novel classification model is proposed, a coefficient matrix is achieved by a linear projection to the training sample, and a constraint is imposed where the coefficients in the same category should keep a large coefficient and be closer to their class centers while coefficients in the different categories should keep sparsity. The algorithm was evaluated and analyzed based on the comparisons of several traditional classification algorithms. When the dimension of the sample was larger than 10, the average recognition rate of the algorithm was maintained above 92%, and the average training time was controlled within 4 s. The experimental results show that the improved algorithm is an effective method for the development of an electronic nose.

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“…SnO 2 becomes the most practical sensing material because of its excellent inherent characteristics of oxygen exchange with the atmosphere [14]. Pan et al synthesized metal-organic framework-derived porous SnO 2 nanosheets and explained its excellent formaldehyde gas-sensing abilities [15]. Zhang et al prepared porous core-shell SnO 2 spheres and found that core-shell spheres showed enhanced VOC sensing compared to the SnO 2 particles [16].…”

Section: Introductionmentioning

confidence: 99%

Hydrothermal Synthesis of Hierarchical SnO2 Nanostructures for Improved Formaldehyde Gas Sensing

Ren

You

et al. 2022

Nanomaterials

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The indoor environment of buildings affects people’s daily life. Indoor harmful gases include volatile organic gas and greenhouse gas. Therefore, the detection of harmful gas by gas sensors is a key method for developing green buildings. The reasonable design of SnO2-sensing materials with excellent structures is an ideal choice for gas sensors. In this study, three types of hierarchical SnO2 microspheres assembled with one-dimensional nanorods, including urchin-like microspheres (SN-1), flower-like microspheres (SN-2), and hydrangea-like microspheres (SN-3), are prepared by a simple hydrothermal method and further applied as gas-sensing materials for an indoor formaldehyde (HCHO) gas-sensing test. The SN-1 sample-based gas sensor demonstrates improved HCHO gas-sensing performance, especially demonstrating greater sensor responses and faster response/recovery speeds than SN-2- and SN-3-based gas sensors. The improved HCHO gas-sensing properties could be mainly attributed to the structural difference of smaller nanorods. These results further indicate the uniqueness of the structure of the SN-1 sample and its suitability as HCHO- sensing material.

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Metal-organic framework-derived porous SnO2 nanosheets with grain sizes comparable to Debye length for formaldehyde detection with high response and low detection limit

Cited by 40 publications

References 57 publications

Electrospinning Derived NiO/NiFe₂O₄ Fiber-in-Tube Composite for Fast Triethylamine Detection under Different Humidity

Electrospinning Derived NiO/NiFe₂O₄ Fiber-in-Tube Composite for Fast Triethylamine Detection under Different Humidity

An Improved Dictionary-Based Method for Gas Identification with Electronic Nose

Hydrothermal Synthesis of Hierarchical SnO2 Nanostructures for Improved Formaldehyde Gas Sensing

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Metal-organic framework-derived porous SnO2 nanosheets with grain sizes comparable to Debye length for formaldehyde detection with high response and low detection limit

Cited by 40 publications

References 57 publications

Electrospinning Derived NiO/NiFe2O4 Fiber-in-Tube Composite for Fast Triethylamine Detection under Different Humidity

Electrospinning Derived NiO/NiFe2O4 Fiber-in-Tube Composite for Fast Triethylamine Detection under Different Humidity

An Improved Dictionary-Based Method for Gas Identification with Electronic Nose

Hydrothermal Synthesis of Hierarchical SnO2 Nanostructures for Improved Formaldehyde Gas Sensing

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Electrospinning Derived NiO/NiFe₂O₄ Fiber-in-Tube Composite for Fast Triethylamine Detection under Different Humidity

Electrospinning Derived NiO/NiFe₂O₄ Fiber-in-Tube Composite for Fast Triethylamine Detection under Different Humidity