Design and optimization strategies of metal oxide semiconductor nanostructures for advanced formaldehyde sensors

التفاصيل البيبلوغرافية
العنوان: Design and optimization strategies of metal oxide semiconductor nanostructures for advanced formaldehyde sensors
المؤلفون: Guanglu Lei, Xianghong Liu, Wei Zheng, Jiayue Xie, Jun Zhang, Zishuo Li, Neeraj Goel, Mahesh Kumar, Chengming Lou
المصدر: Coordination Chemistry Reviews. 452:214280
بيانات النشر: Elsevier BV, 2022.
سنة النشر: 2022
مصطلحات موضوعية: Inorganic Chemistry, chemistry.chemical_compound, Low energy, Oxide semiconductor, Nanostructure, chemistry, Materials Chemistry, Formaldehyde, Nanotechnology, Physical and Theoretical Chemistry, Work life, Leakage (electronics)
الوصف: Formaldehyde sensors are essential devices in the indoor air quality monitoring and gas leakage detection in industrial areas. Enormous efforts are made to promote the development of sensitive formaldehyde sensors with fast response and recovery, low manufacture cost, low energy consumption and long work life. The progress in fundamental research of metal oxide semiconductors (MOS) nanomaterials has enabled significant development of high performance formaldehyde sensors. This review focuses on the most recent advances of formaldehyde sensors utilizing MOS nanostructures. The design and synthesis principles of MOS nanostructures that hold a great potential for real sensor applications have been summarized. Particular emphasis is given to the structure–property relationships of some typical n-type and p-type MOS for efficient detection of formaldehyde. The optimization strategies to enhance the formaldehyde sensor performances are also discussed. Finally, we discuss the perspectives and challenges in the future development of the formaldehyde sensors.
تدمد: 0010-8545
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::4ff8194f9896d0752248de8ead1b5c1cTest
https://doi.org/10.1016/j.ccr.2021.214280Test
حقوق: CLOSED
رقم الانضمام: edsair.doi...........4ff8194f9896d0752248de8ead1b5c1c
قاعدة البيانات: OpenAIRE