Chemoresistive gas sensors made from SnO, ZnO, WO, and InO have been prepared by flame spray pyrolysis. The sensors' response to CO and NO in darkness and under illumination at different wavelengths, using commercially available LEDs, was investigated. Operation at room temperature turned out to be impractical due to the condensation of water inside the porous sensing layers and the irreversible changes it caused. Accordingly, for sensors operated at 70 °C, a characterization procedure was developed and proven to deliver consistent data. The resulting data set was so complex that usual univariate data analysis was intricate and, consequently, was investigated by correlation and principal component analysis. The results show that light of different wavelengths affects not only the resistance of each material, both under exposure to the target gases in humidity and in its absence, but also the sensor response to humidity and the target gases. It was found that each of the materials behaves differently under light exposure, and it was possible to identify conditions that need further investigations.
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http://dx.doi.org/10.1021/acssensors.4c00078 | DOI Listing |
ACS Appl Mater Interfaces
January 2025
Nanomaterials Laboratory, Department of Polymers and Functional Materials, CSIR-Indian Institute of Chemical Technology, Uppal Road, Tarnaka, Hyderabad 500 007, India.
Herein, porous SnO microspheres in a three-dimensional (3D) hierarchical architecture were successfully synthesized via a facile hydrothermal route utilizing d-(+)-glucose and cetyltrimethylammonium bromide (CTAB), which act as reducing and structure-directing agents, respectively. Controlled adjustment of the CTAB to glucose mole ratio, reaction temperature, reaction time, and the calcination parameters all provided important clues toward optimizing the final morphologies of SnO with exceptional structural stability and reasonable monodispersity. Electron microscopy analysis revealed that microspheres formed were hierarchical self-assemblies of numerous primary SnO nanoparticles of ∼3-8 nm that coalesce together to form nearly monodispersed and ordered spherical structures of sizes in the range of 230-250 nm and are appreciably porous.
View Article and Find Full Text PDFACS Sens
January 2025
College of Artificial Intelligence, Southwest University, Chongqing 400715, China.
Greenhouse gases (GHGs) have caused great harm to the ecological environment, so it is necessary to screen gas sensor materials for detecting GHGs. In this study, we propose an ideal gas sensor design strategy with high screening efficiency and low cost targeting four typical GHGs (CO, CH, NO, SF). This strategy introduces machine learning (ML) methods based on density functional theory (DFT) to achieve accurate and rapid screening from a large number of candidate gas sensor materials.
View Article and Find Full Text PDFHeliyon
December 2024
Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Propofol, a widely used intravenous anesthetic agent, requires accurate monitoring to ensure therapeutic efficacy and prevent oversedation. Recent developments in modern analytical instrumentation have led to significant breakthroughs in on-line analysis of exhaled breath. This review discusses several sophisticated analytical methods that have been explored for noninvasive, real-time monitoring of propofol concentrations, including proton transfer reaction mass spectrometry, selected ion flow tube mass spectrometry, ion mobility spectrometry, and gas chromatography coupled to surface acoustic wave sensors.
View Article and Find Full Text PDFACS Omega
December 2024
China University of Petroleum-Beijing, Changping, Beijing 102249, China.
One of the key points in the construction of smart oil and gas fields is the effective utilization of data. Virtual Flow Metering (VFM), as one of the representative research directions for digital transformation, can obtain real-time production from oil and gas wells without the need for additional field instrumentation, utilizing pressure and temperature data obtained from sensors and employing multiphase flow mechanism models. The data-driven VFM demonstrates a commendable capacity in capturing the nonlinear relationship between sensor data and flow rates, while circumventing the necessity for rigorous analysis of the underlying mechanistic processes.
View Article and Find Full Text PDFNano Lett
January 2025
School of Optical and Electronic Information, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China.
Achieving high flexibility, breathability, and sensitivity in inorganic semiconductor gas sensors remains a substantial challenge, especially for wearable applications in high-humidity environments. This study develops a hyper-flexible, thermally stable, and highly breathable full-inorganic, self-supporting InGaO-AlO/AlO nanofiber membrane sensor, fabricated using a dual-spinneret electrospinning method with an interlocking design. This innovative sensor has a bilayer structure with an amorphous AlO nanofiber substrate layer supporting an active layer of high-aspect-ratio interwoven InGaO and AlO nanofibers, providing outstanding flexibility, elevated breathability, and strong thermal stability.
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