Weiqi Wang , Jiamu Cao , Rongji Zhang , Liang Chen , Yang Li , Yufeng Zhang
{"title":"Design strategies of semiconductor sensors toward ammonia monitoring in smart agriculture","authors":"Weiqi Wang , Jiamu Cao , Rongji Zhang , Liang Chen , Yang Li , Yufeng Zhang","doi":"10.1016/j.jece.2024.114380","DOIUrl":null,"url":null,"abstract":"<div><div>Semiconductor sensors have great potential in real-time monitoring ammonia emissions in agriculture owing to mall volume, low cost, real-time response and no manual operation. However, the power consumption of semiconductor sensors needs to be further reduced in order to be applicable to smart agriculture. Herein, to provide a basis for researcher to develop high-performance ammonia sensors, this review article summarizes key design strategies of semiconductor sensors to improve the ammonia sensing properties. Besides, to significantly reduce the gas sensors' power consumption, a novel design strategy of sensors based on gas molecule trigging with ultra-low power consumption is also discussed in detail. The current challenges and future opportunities of semiconductor ammonia sensors are put forward finally. The review aims to provide researchers with ideas to develop semiconductor ammonia sensors owing high performance and ultra-low power consumption and encourage the application of these sensors in future smart agriculture.</div></div>","PeriodicalId":15759,"journal":{"name":"Journal of Environmental Chemical Engineering","volume":"12 6","pages":"Article 114380"},"PeriodicalIF":7.4000,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Environmental Chemical Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213343724025119","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Semiconductor sensors have great potential in real-time monitoring ammonia emissions in agriculture owing to mall volume, low cost, real-time response and no manual operation. However, the power consumption of semiconductor sensors needs to be further reduced in order to be applicable to smart agriculture. Herein, to provide a basis for researcher to develop high-performance ammonia sensors, this review article summarizes key design strategies of semiconductor sensors to improve the ammonia sensing properties. Besides, to significantly reduce the gas sensors' power consumption, a novel design strategy of sensors based on gas molecule trigging with ultra-low power consumption is also discussed in detail. The current challenges and future opportunities of semiconductor ammonia sensors are put forward finally. The review aims to provide researchers with ideas to develop semiconductor ammonia sensors owing high performance and ultra-low power consumption and encourage the application of these sensors in future smart agriculture.
期刊介绍:
The Journal of Environmental Chemical Engineering (JECE) serves as a platform for the dissemination of original and innovative research focusing on the advancement of environmentally-friendly, sustainable technologies. JECE emphasizes the transition towards a carbon-neutral circular economy and a self-sufficient bio-based economy. Topics covered include soil, water, wastewater, and air decontamination; pollution monitoring, prevention, and control; advanced analytics, sensors, impact and risk assessment methodologies in environmental chemical engineering; resource recovery (water, nutrients, materials, energy); industrial ecology; valorization of waste streams; waste management (including e-waste); climate-water-energy-food nexus; novel materials for environmental, chemical, and energy applications; sustainability and environmental safety; water digitalization, water data science, and machine learning; process integration and intensification; recent developments in green chemistry for synthesis, catalysis, and energy; and original research on contaminants of emerging concern, persistent chemicals, and priority substances, including microplastics, nanoplastics, nanomaterials, micropollutants, antimicrobial resistance genes, and emerging pathogens (viruses, bacteria, parasites) of environmental significance.