Rational construction and triethylamine sensing performance of foam shaped α-MoO3@SnS2 nanosheets

Dong, Xian-Hui; Han, Qing; Kang, Ya-Ru; Li, Haidong; Huang, Xinyu; Fang, Zheng-Tao; Yuan, Huan; Elzatahry, Ahmed A.; Chi, Zongtao; Wu, Guanglei; Xie, Wanfeng

doi:10.1016/j.cclet.2021.06.022

Cited by 40 publications

(9 citation statements)

References 65 publications

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“…The appropriate doping is conducive to improving the sensitivity and response–recovery speed. − In addition, the cross-sensitivity defect can be overcome by combining the response signals of sensing arrays . In this work, four composite sensitive materials (10 wt % WO 3 -10% SnCl 2 –In 2 O 3 , 5 wt % NiO-10% SnCl 2 –In 2 O 3 , 10 wt % TiO 2 -10% SnCl 2 –In 2 O 3 , and 5 wt % SnO 2 -10% SnCl 2 –In 2 O 3 ) are loaded into the sensor array to obtain diverse response signals.…”

Section: Methodsmentioning

confidence: 99%

Real-Time Monitoring of Air Discharge in a Switchgear by an Intelligent NO₂ Sensor Module

Wang,

Li,

Chu

et al. 2023

ACS Sens.

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An air-insulated power equipment adopts air as the insulating medium and is widely implemented in power systems. When discharge faults occur, the air produces decomposition products represented by NO 2 . The efficient NO 2 sensor enables the identification of electrical equipment faults. However, singlesensor-dependent NO 2 detection is vulnerable to interfering gases. Implementing the sensor array could reduce the interference and improve detection efficiency. In the field of NO 2 detection, In 2 O 3 sensors have exhibited tremendous advantages. In our work, four composites based on In 2 O 3 are integrated into sensor arrays, which could detect 250 ppb of NO 2 and exhibit excellent selectivity when simultaneously exposed to CO. To further reduce the impact of humidity on gas-sensing performance, a convolutional neural network and a long short-term memory model equipped with an attention mechanism are proposed to evaluate NO 2 concentration within 1 ppm, and the detection error is 63.69 ppb. In addition, the NO 2 concentration estimation platform based on a microgas sensor is established to detect air discharge faults. The average concentration of NO 2 generated by 10 consecutive discharge faults at 15 kV is 726.58 ppb, which indicates severe discharge in the switchgear. Our NO 2 estimation method has great potential for largescale deployment in low-and medium-voltage switchgears.

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Section: Methodsmentioning

confidence: 99%

Real-Time Monitoring of Air Discharge in a Switchgear by an Intelligent NO₂ Sensor Module

Wang,

Li,

Chu

et al. 2023

ACS Sens.

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“…Flexible multifunctional sensors have attracted significant attention due to their potential applications in motion detection, health monitoring, human-machine interface, electronic skin, artificial intelligence, etc. [1][2][3][4][5][6] Desirable flexible multifunctional DOI: 10.1002/adsr.202300048 sensors are capable of detecting and differentiating between physical stimuli (e.g., strain and stress) and chemical stimuli (e.g., chemical gas molecules). [7][8][9][10][11][12] And the flexible sensors, generally, are composed of conductive materials and flexible substrates.…”

Section: Introductionmentioning

confidence: 99%

Flexible PANI/Lotus Stemmed Fiber Sensor for Bifunctional Sensing of Physical and Chemical Stimuli

Cheng

et al. 2023

Advanced Sensor Research

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In recent times, high‐performance flexible sensors that can be fabricated environmentally friendly and low‐costly have received considerable attention owing to their potential applications in wearable health monitoring. The combination of biocompatibility, degradability, and recyclability between the substrate and sensor layer remains a challenge. Here, a highly sensitive multifunctional sensor is developed using a polyaniline (PANI)‐coated lotus stem fabric (PANI/LSF) for body physical and chemical stimuli in a simple way. The lotus stem fabric has excellent breathability, skin compatibility, and lightweight as a flexible substrate. Its high sensitivity at low pressure is experimentally verified, which can reach 0.3 kPa−1 in the 0–1.5 kPa range. In addition, the sensor has low detection limitation and good linearity of response to water molecules and short response and recovery times for water in N2 or normal atmosphere at the range of 3.7–70.5% relative humidity (RH) and 19.6–66.8% RH, respectively. This can be successfully used in the recognition of various breathing behaviors. Therefore, the study has developed a breathable and skin‐friendly bifunctional sensor based on PANI and natural fabrics, which has great potential for application in human health care.

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“…[30,31] Incorporation of nanoparticles into epoxy may positively or negatively affect the mechanical properties and thermal degradation temperature depending on polymer-particle interfacial adhesion. [32][33][34] Surface and bulk treatment of bio-based nanoparticles added to epoxy or bio-epoxy is also of crucial importance. [15,35,36] Typically, state of dispersion of nanoparticles in the epoxy matrix can be changed in three general ways: in situ polymerization, melt mixing, and solution mixing.…”

Section: Introductionmentioning

confidence: 99%

Thermally conductive and mechanically strengthened bio‐epoxy/boron nitride nanocomposites: The effects of particle size, shape, and combination

et al. 2022

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Bio-epoxy composites containing boron nitride (BN) particles with different size and shape (0D spherical micro-and nanoparticles, 1D nanotubes (T), and 2D nanosheets (S)) are prepared and revealed appropriate thermal conductivity, thermal stability, and mechanical properties. Systems containing one or two BN nanoparticles showed evenly dispersed structures because of applying high-shear, ultrasonic, or combination of these methods. Microscopic analysis proved that high-shear assisted ultrasonic technique ended up in an homogeneously dispersed BN nanoparticles in the epoxy matrix. The combination of platelet-like and tubular nanoparticles synergistically enhanced both the thermal stability and thermal conductivity of epoxy. Differential scanning calorimetry (DSC) thermographs appeared a sharp peak demonstrating excessive thermal energy released because of network formation of BN conductive fillers. The bi-oepoxy containing equal weight fractions of T and S (1:1 w/w ratio) showed the highest thermal conductivity and tensile strength values of 2.21 W/m.K and 80 MPa, respectively. In conclusion, properties of epoxy nanocomposites are affected by the filler network formation, such that conductive incorporation of 3 wt.% of BN platelet-like and nanotubes increased thermal conductivity up to 1400% and mechanical properties up to 50% with respect to the neat epoxy.

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Rational construction and triethylamine sensing performance of foam shaped α-MoO3@SnS2 nanosheets

Cited by 40 publications

References 65 publications

Real-Time Monitoring of Air Discharge in a Switchgear by an Intelligent NO₂ Sensor Module

Real-Time Monitoring of Air Discharge in a Switchgear by an Intelligent NO₂ Sensor Module

Flexible PANI/Lotus Stemmed Fiber Sensor for Bifunctional Sensing of Physical and Chemical Stimuli

Thermally conductive and mechanically strengthened bio‐epoxy/boron nitride nanocomposites: The effects of particle size, shape, and combination

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Rational construction and triethylamine sensing performance of foam shaped α-MoO3@SnS2 nanosheets

Cited by 40 publications

References 65 publications

Real-Time Monitoring of Air Discharge in a Switchgear by an Intelligent NO2 Sensor Module

Real-Time Monitoring of Air Discharge in a Switchgear by an Intelligent NO2 Sensor Module

Flexible PANI/Lotus Stemmed Fiber Sensor for Bifunctional Sensing of Physical and Chemical Stimuli

Thermally conductive and mechanically strengthened bio‐epoxy/boron nitride nanocomposites: The effects of particle size, shape, and combination

Contact Info

Product

Resources

About

Real-Time Monitoring of Air Discharge in a Switchgear by an Intelligent NO₂ Sensor Module

Real-Time Monitoring of Air Discharge in a Switchgear by an Intelligent NO₂ Sensor Module