Cutting-edge ammonia emissions monitoring technology for sustainable livestock and poultry breeding: A comprehensive review of the state of the art
文献类型： 外文期刊
作者： Li, Tianling 1 ; Wang, Chenxu 1 ; Ji, Wentao 1 ; Wang, Zhengguo 1 ; Shen, Weishou 1 ; Feng, Yanfang 2 ; Zhou, Ming 3 ;
作者机构： 1.Nanjing Univ Informat Sci & Technol, Sch Environm Sci & Engn, Collaborat Innovat Ctr Atmospher Environm & Equipm, Jiangsu Key Lab Atmospher Environm Monitoring & Po, Nanjing 210044, Peoples R China
2.Jiangsu Acad Agr Sci, Minist Agr & Rural Affairs, Inst Agr Resources & Environm, Key Lab Agroenvironm Downstream Yangtze Plain, Nanjing 210014, Peoples R China
3.Griffith Univ, Ctr Catalysis & Clean Energy, Gold Coast Campus, Southport, Qld 4222, Australia
关键词： Ammonia emissions; Sustainable agriculture; Monitoring technology; Livestock and poultry breeding; Sensors
期刊名称：JOURNAL OF CLEANER PRODUCTION （ 影响因子：11.1； 五年影响因子：11.0 ）
ISSN： 0959-6526
年卷期： 2023 年 428 卷
页码：
收录情况： SCI
摘要： Accurately monitoring ammonia emissions from the most important contributor, i.e., livestock and poultry breeding sources, is crucial for assessing total emissions, understanding the mechanism behind ammonia-related environmental issues, and promoting sustainable agriculture practices. However, developing field-based methods to monitor ammonia emissions in complex and fluctuating environments has always been a significant challenge, hindering the establishment of an accurate ammonia emission profile, necessary for decision-makers to tailor solutions to guide sustainable agricultural practices. This review thus systematically summarizes recent advancements in ammonia emission monitoring technologies for livestock and poultry breeding sources, encompassing three self-classified techniques, namely chemical instrument-based, spectroscopy-based, and sensorbased methods. The review also provides a comparative analysis and discussion of their technical principles, technical characteristics (e.g., sensitivity, accuracy, detection range and response time, etc.), application scenarios, and scopes. Furthermore, this work introduces microfluidics and membrane technologies that can subtly be integrated with sensor-based technology to address gaps in existing monitoring technologies, elaborating their feasibility and application potential in detail for monitoring ammonia emissions from livestock and poultry breeding sources. These insights illuminate future trends in the development of field-based, real-time ammonia emissions monitoring technology for sustainable agriculture.
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