Bhagat B, Gupta Santosh K, Mandal D, Gor Abhishek A, Bandyopadhyay R, Mukherjee K
Department of Chemistry, School of Energy Technology, Pandit Deendayal Energy University, Gandhinagar, 382426, Gujarat, India.
Radiochemistry Division, Bhabha Atomic Research Centre, Mumbai, 400085, India.
Chem Asian J. 2024 Jan 15;19(2):e202300841. doi: 10.1002/asia.202300841. Epub 2023 Dec 15.
Detection of gas molecules and volatile organic compounds (VOCs) using efficient, low cost sensors has fetched significant attention in environmental monitoring, safety measures and medical diagnosis. In the present work, nickel ferrite (NFO) nanoparticles are explored as p-type semiconducting metal oxide (SMO) sensor for detection of five different organic vapors namely methanol, ethanol, n-propanol, iso-propanol and acetone which often cause severe damage to human body under prolonged exposure. The sensing studies in presence of the aforementioned five vapors are carried out by varying the sensor operating temperature (225-300 °C) and vapor concentrations (10-1000 ppm). Developed NFO sensor demonstrated best performance in terms of sensing (~10 ppm), response time (<10 s), excellent repeatability and selectivity towards ethanol among all other considered gas species. The repeatability of the sensor response is verified and the underlying reasons for the variation in the response of NFO sensor due to the change of operating temperature, analyte type and concentrations has been discussed. The synthesis of NFO through auto combustion method and study on their formation behaviour, oxygen vacancy evolution, band gap calculation, crystalline nature as well as microstructural features provides here the comprehensive information about the potential application of NFO nanoparticles as gas sensor.
利用高效、低成本的传感器检测气体分子和挥发性有机化合物(VOCs)在环境监测、安全措施及医学诊断领域已引起广泛关注。在本研究中,探索了镍铁氧体(NFO)纳米颗粒作为p型半导体金属氧化物(SMO)传感器,用于检测甲醇、乙醇、正丙醇、异丙醇和丙酮这五种不同的有机蒸汽,长期接触这些蒸汽通常会对人体造成严重损害。通过改变传感器工作温度(225 - 300°C)和蒸汽浓度(10 - 1000 ppm),对上述五种蒸汽存在时的传感特性进行了研究。在所有考虑的气体种类中,所研制的NFO传感器在传感性能(~10 ppm)、响应时间(<10 s)、对乙醇具有优异的重复性和选择性方面表现出最佳性能。验证了传感器响应的重复性,并讨论了由于工作温度、分析物类型和浓度变化导致NFO传感器响应变化的潜在原因。通过自燃法合成NFO,并对其形成行为、氧空位演变、带隙计算、晶体性质以及微观结构特征进行研究,为NFO纳米颗粒作为气体传感器的潜在应用提供了全面信息。