研究目的
To develop nanostructured gas sensing materials with high response and selectivity towards acetone vapors, addressing the need for environmental monitoring and medical applications such as diabetes detection.
研究成果
Mn-doped ZnO hollow structures, particularly with 1% Mn, significantly enhance acetone sensing performance compared to pure ZnO, with higher response, selectivity, and lower detection limit. This improvement is attributed to structural modifications from Mn doping, such as increased oxygen vacancies and specific surface area. The study successfully addresses the challenge of distinguishing acetone from ethanol, suggesting potential for practical applications in gas sensing.
研究不足
The sensor performance is affected by humidity, with response decreasing as humidity increases. The study does not address long-term stability or real-world environmental conditions. Optimization for humidity resistance is needed.
1:Experimental Design and Method Selection:
The study used a solvothermal reaction followed by annealing to synthesize pure and Mn-doped ZnO hollow structures. Theoretical models include Bragg's law for XRD analysis and semiconductor gas sensing mechanisms involving oxygen adsorption and redox reactions.
2:Sample Selection and Data Sources:
Samples included pure ZnO and Mn-doped ZnO with different Mn concentrations (e.g., 1% and 3% Mn). Data were sourced from laboratory experiments using synthesized materials.
3:List of Experimental Equipment and Materials:
Equipment included X-ray diffraction (XRD, D8 ADVANCE DAVINCI), scanning electron microscopy (SEM, Hitachi S4800), transmission electron microscopy (TEM, JEOL2100), high-resolution TEM (HRTEM, Tecnai F20), BET surface area analyzer (ASAP2020M), BJH pore size analyzer (ASAP2020M), and X-ray photoelectron spectroscopy (XPS, Axis Ultra DLD). Materials included Zn(NO3)2·6H2O, isophthalic acid (H2IPA), N,N-Dimethylformamide, acetone, Mn(NO3)3·4H2O, and Teflon-lined stainless steel autoclave.
4:Experimental Procedures and Operational Workflow:
For synthesis, reagents were dissolved in a mixed solvent, transferred to an autoclave, treated at 160°C for 4 hours, cooled, centrifuged, dried at 60°C for 12 hours, and annealed at 500°C for 1.5 hours. Gas sensors were fabricated as per previous work, with temperature calibrated using infrared ray and gas flow optimized. Sensing tests involved exposing sensors to various gases at different temperatures and concentrations, measuring resistance changes.
5:5 hours. Gas sensors were fabricated as per previous work, with temperature calibrated using infrared ray and gas flow optimized. Sensing tests involved exposing sensors to various gases at different temperatures and concentrations, measuring resistance changes. Data Analysis Methods:
5. Data Analysis Methods: Data were analyzed using XRD for crystal structure, SEM/TEM for morphology, BET/BJH for surface area and pore size, XPS for chemical composition, and resistance measurements (Ra/Rg for n-type sensors) for gas response. Statistical analysis included error bars for reproducibility.
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X-ray diffraction
D8 ADVANCE DAVINCI
Bruker
Characterization of crystal properties of the materials
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Scanning electron microscopy
S4800
Hitachi
Observation of morphologies and microstructure compositions
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Transmission electron microscopy
JEOL2100
JEOL
Observation of morphologies and microstructure compositions
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High-resolution transmission electron microscopy
Tecnai F20
FEI
Observation of high-resolution microstructures
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BET surface area analyzer
ASAP2020M
Micromeritics
Measurement of surface area
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BJH pore size analyzer
ASAP2020M
Micromeritics
Measurement of pore size distribution
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X-ray photoelectron spectroscopy
Axis Ultra DLD
Kratos Analytical
Identification of oxidation states of surface species
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Teflon-lined stainless steel autoclave
Used for solvothermal reactions at high temperature and pressure
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