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采用水热法制备氧化镍纳米结构作为H2S气体传感器
Preparation of nickel oxide nanostructure by hydrothermal method as H2S gas sensor
| 作者 | Aparna A. Kulkarni |
| 期刊 | Journal of Materials Science: Materials in Electronics |
| 出版日期 | 2025年1月 |
| 卷/期 | 第 36.0 卷 |
| 技术分类 | 控制与算法 |
| 技术标签 | 工商业光伏 |
| 相关度评分 | ★★★★ 4.0 / 5.0 |
| 关键词 | 气体传感 氧化镍纳米颗粒 水热法 加热时间 气体响应特性 |
语言:
中文摘要
气体传感技术在控制工业和汽车尾气、家居用品安全以及环境管理方面具有重要意义。目前已有不同的工具用于识别CO2、H2S、SO2、CO、H2、O2及多种其他气体。本研究通过水热法合成了未掺杂的NiO纳米颗粒,并系统研究了在聚四氟乙烯内衬高压反应釜中的加热时间对NiO纳米颗粒(NiO NPs)结构、电学性能及气体传感特性的影响。样品S1、S2、S3和S4的反应时间分别为12、24、36和48小时。采用丝网印刷技术将NiO厚膜制备在玻璃基板上,并基于该厚膜进行了气体敏感性测试。所得NiO纳米颗粒通过X射线衍射(XRD)、场发射扫描电子显微镜(FESEM)和能量色散X射线光谱(EDX)进行了表征。对NiO厚膜的气体响应性能进行了检测,以识别多种空气污染物,包括NO2、H2S、C2H5OH、NH3和液化石油气(LPG)。在所选气体中,NiO薄膜对H2S表现出最高的气体响应,其中样品S4在250 °C时响应值最高,最大灵敏度达到72.14%。此外,该薄膜还表现出快速的响应时间和恢复时间。
English Abstract
Gas sensing is beneficial for controlling industrial and vehicle exhaust, house articles security, and environmental management. CO 2 , H 2 S, SO 2 , CO, H 2 , O 2 , and various gases are recognized by different tools. In the present research work, the undoped NiO nanoparticles were synthesized using a hydrothermal technique. The effect of heating time in a Teflon-lined autoclave on the structural, electrical, and gas sensing properties of NiO nanoparticles (NiO NPs) was investigated. The time taken for samples S1, S2, S3, and S4 are 12, 24, 36 and 48 h, respectively. The thick films of NiO were developed on a glass substrate using a screen-printing technique. The gas sensitivity using thick films was reported. The obtained NiO NPs were examined by X-ray diffraction (XRD), Field Emission Scanning Electron Microscopy (FESEM), and EDX. The gas response of NiO thick films was tested to recognize various air pollutants, including NO 2 , H 2 S, C 2 H 5 OH, NH 3 , and LPG. Among these selected gases, NiO films show the highest gas response at 250 °C for H 2 S to sample 4. The maximum sensitivity was recorded at 72.14% at 250 °C. The films also shows the fast response and recovery time.
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SunView 深度解读
该NiO纳米材料H2S气体传感技术对阳光电源储能系统和充电站产品具有重要应用价值。在大型储能电站(PowerTitan系列)中,电池热失控会释放H2S等有害气体,集成高灵敏度气体传感器可实现早期预警,提升安全防护等级。该传感器250°C工作温度适配储能柜内部环境,72.14%灵敏度和快速响应特性可优化iSolarCloud平台的预测性维护算法。同时可应用于充电站密闭空间的环境监测,符合工商业光伏储能一体化项目的安全管理需求,为智能运维系统提供多维度数据支撑。