Sensors and Sensor Networks: Design, Synthesis and Performance Evaluation of Nanocomposite Semiconductor Gas Sensors

传感器和传感器网络:纳米复合半导体气体传感器的设计、合成和性能评估

基本信息

项目摘要

The primary objective of the proposed research program is to successfully demonstrate dramatically improved performance of nanocomposite SnO2 sensors made using a novel synthesis approach. Staged nucleation of nanoparticles will be used to make high-value-added SnO2 sensor materials doped with noble metal additives using a multi-element diffusion burner. In particular, gold nano-islands are expected to yield remarkable increases in sensor sensitivity due to the extremely high catalytic activity of Au demonstrated in previous studies. Therefore, the Au/SnO2 system will be the primary focus of the research effort. The effects of particle size, Au loading and relative particle morphologies on sensor performance will be quantitatively determined. High-resolution microscope imaging (e.g. scanning and transmission electron microscopy coupled with elemental analysis methods) will be used to characterize the materials properties. Performance of the powders in gas sensor applications will be quantified in terms of sensor time response, sensitivity, selectivity and stability. Outcomes of the research include the potential to create mechanically simple, rapid time response, sensitive, selective, stable, toxic-gas sensors that can be operated over a large temperature range. NOx sensors with these properties are a specific focus of the research program due to applications in internal combustion engine systems. The broader impacts therefore include more precise design of automotive exhaust gas catalysts and corresponding materials and costs savings.
提出的研究计划的主要目标是成功地证明使用一种新的合成方法制成的纳米复合SnO2传感器的性能显着提高。利用多元素扩散燃烧器,利用纳米颗粒的分级成核制备掺杂贵金属添加剂的高附加值SnO2传感器材料。特别是,由于在先前的研究中证明了金的极高催化活性,预计金纳米岛将显著提高传感器的灵敏度。因此,Au/SnO2体系将是研究工作的主要重点。颗粒大小、Au负载和相对颗粒形态对传感器性能的影响将被定量确定。高分辨率显微镜成像(如扫描和透射电子显微镜结合元素分析方法)将用于表征材料的性质。粉末在气体传感器应用中的性能将根据传感器时间响应、灵敏度、选择性和稳定性进行量化。这项研究的成果包括创造机械简单、时间响应快速、敏感、选择性、稳定、可在大温度范围内工作的有毒气体传感器的潜力。由于在内燃机系统中的应用,具有这些特性的NOx传感器是研究计划的重点。因此,更广泛的影响包括更精确地设计汽车废气催化剂和相应的材料,并节省成本。

项目成果

期刊论文数量(0)
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Margaret Wooldridge其他文献

Highly Turbocharged Gasoline Engine and Rapid Compression Machine Studies of Super-Knock
高涡轮增压汽油机及超爆震快速压缩机研究
  • DOI:
    10.4271/2016-01-0686
  • 发表时间:
    2016-04
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Hui Liu;Zhi Wang;Margaret Wooldridge;Mohammad Fatouraie;Zhichao Jia;Yunliang Qi;Xin He;Mengke Wang;Jianxin Wang
  • 通讯作者:
    Jianxin Wang
Quantitative longitudinal assessment of volatile organic silicon compounds in biogas from landfills and wastewater treatment plants
对来自垃圾填埋场和废水处理厂的沼气中挥发性有机硅化合物的定量纵向评估
  • DOI:
    10.1016/j.wasman.2025.114950
  • 发表时间:
    2025-08-01
  • 期刊:
  • 影响因子:
    7.100
  • 作者:
    Qinghui Meng;Matthew Solar;Nanta Sophonrat;Margaret Wooldridge
  • 通讯作者:
    Margaret Wooldridge

Margaret Wooldridge的其他文献

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{{ truncateString('Margaret Wooldridge', 18)}}的其他基金

A New Approach for Experimental Study of Fundamental Combustion Chemistry
基础燃烧化学实验研究的新方法
  • 批准号:
    1701343
  • 财政年份:
    2017
  • 资助金额:
    $ 27.26万
  • 项目类别:
    Standard Grant
Support for the 6th U.S. National Combustion Meeting
支持第六届美国全国燃烧会议
  • 批准号:
    0848013
  • 财政年份:
    2008
  • 资助金额:
    $ 27.26万
  • 项目类别:
    Standard Grant
GOALI: Fast, Quantitatve Interrogation of Adavanced Internal Combustion Engine Technologies
目标:对先进内燃机技术进行快速、定量研究
  • 批准号:
    0457224
  • 财政年份:
    2005
  • 资助金额:
    $ 27.26万
  • 项目类别:
    Standard Grant
Research Equipment Grant: Laser System to Study the Chemical and Physical Aspects of Particle Nucleation and Growth
研究设备补助金:研究粒子成核和生长的化学和物理方面的激光系统
  • 批准号:
    9905581
  • 财政年份:
    1999
  • 资助金额:
    $ 27.26万
  • 项目类别:
    Standard Grant
CAREER: Determination of Particle Composition in Combustion Synthesis Flames via Laser Spark Spectroscopy
职业:通过激光火花光谱法测定燃烧合成火焰中的颗粒成分
  • 批准号:
    9734259
  • 财政年份:
    1998
  • 资助金额:
    $ 27.26万
  • 项目类别:
    Standard Grant
Development of a Chemical Kinetic Mechanism for Modeling Silane Combustion Systems
硅烷燃烧系统建模化学动力学机制的开发
  • 批准号:
    9896273
  • 财政年份:
    1998
  • 资助金额:
    $ 27.26万
  • 项目类别:
    Standard Grant
CAREER: Determination of Particle Composition in Combustion Synthesis Flames via Laser Spark Spectroscopy
职业:通过激光火花光谱法测定燃烧合成火焰中的颗粒成分
  • 批准号:
    9896272
  • 财政年份:
    1998
  • 资助金额:
    $ 27.26万
  • 项目类别:
    Standard Grant
Development of a Chemical Kinetic Mechanism for Modeling Silane Combustion Systems
硅烷燃烧系统建模化学动力学机制的开发
  • 批准号:
    9618190
  • 财政年份:
    1997
  • 资助金额:
    $ 27.26万
  • 项目类别:
    Standard Grant

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人类NADPH sensor蛋白HSCARG调控机制研究
  • 批准号:
    30930020
  • 批准年份:
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  • 资助金额:
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基于sensor agent的营养液组分动态测量与建模研究
  • 批准号:
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The Use of Low-Cost Air Quality Sensors and Sensor Networks for Understanding Air Pollutant Levels and Human Health Impacts
使用低成本空气质量传感器和传感器网络了解空气污染物水平和人类健康影响
  • 批准号:
    2459182
  • 财政年份:
    2020
  • 资助金额:
    $ 27.26万
  • 项目类别:
    Studentship
Measures of Robustness for Wireless Sensor Networks composed of Sensors with Identical Shapes and Orientations
由具有相同形状和方向的传感器组成的无线传感器网络的鲁棒性测量
  • 批准号:
    459911-2014
  • 财政年份:
    2015
  • 资助金额:
    $ 27.26万
  • 项目类别:
    Postgraduate Scholarships - Doctoral
Spectral Multiplexing of Fiber Bragg Grating Sensors for Low-Power Optical Sensor Networks
用于低功率光学传感器网络的光纤布拉格光栅传感器的光谱复用
  • 批准号:
    1536936
  • 财政年份:
    2015
  • 资助金额:
    $ 27.26万
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    Standard Grant
Measures of Robustness for Wireless Sensor Networks composed of Sensors with Identical Shapes and Orientations
由具有相同形状和方向的传感器组成的无线传感器网络的鲁棒性测量
  • 批准号:
    459911-2014
  • 财政年份:
    2014
  • 资助金额:
    $ 27.26万
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    Postgraduate Scholarships - Doctoral
Artificial intelligence meets wireless sensor networks: filling the gaps between sensors using spatial reasoning
人工智能遇上无线传感器网络:利用空间推理填补传感器之间的空白
  • 批准号:
    DP120103758
  • 财政年份:
    2012
  • 资助金额:
    $ 27.26万
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    Discovery Projects
bridge monitoring system development integrating hybrid synchronized wireless sensor networks and non-contact sensors
集成混合同步无线传感器网络和非接触式传感器的桥梁监测系统开发
  • 批准号:
    23686066
  • 财政年份:
    2011
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    $ 27.26万
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    Grant-in-Aid for Young Scientists (A)
CIF: Large: Sensing Sensors: Compressed sampling with Co-design of Hardware and Algorithms Across Multiple Layers in Wireless Sensor Networks
CIF:大型:传感传感器:无线传感器网络中跨多个层的硬件和算法的压缩采样和协同设计
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    0910765
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    2009
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    $ 27.26万
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    Standard Grant
SBIR Phase I: Improving the Efficiency and the Environmental Impacts of Large-Scale Manufacturing - using Wireless Sensor Networks (WSNs), Ambiently-powered Sensors, and Model-base
SBIR 第一阶段:提高大规模制造的效率和环境影响 - 使用无线传感器网络 (WSN)、环境供电传感器和模型库
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    0637333
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    2007
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    $ 27.26万
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    Standard Grant
U.S.-Egypt Workshop on: Ubiquitous Computing: Sensors and Wireless Sensor Networks, December, 2007, Cairo, Egypt
美国-埃及研讨会:无处不在的计算:传感器和无线传感器网络,2007 年 12 月,埃及开罗
  • 批准号:
    0723952
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    2007
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    $ 27.26万
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    Standard Grant
CAREER: Towards turnkey sensor networks for the Sciences: Software tools for designing and managing networks of sensors
职业:迈向科学领域的交钥匙传感器网络:用于设计和管理传感器网络的软件工具
  • 批准号:
    0546648
  • 财政年份:
    2006
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    $ 27.26万
  • 项目类别:
    Continuing Grant
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