空气质量指数
语境化
仿形(计算机编程)
环境科学
人类健康
地球仪
空气污染
环境化学
计算机科学
化学
地理
气象学
环境卫生
心理学
医学
操作系统
神经科学
有机化学
程序设计语言
口译(哲学)
作者
Pedro Catalão Moura,Valentina Vassilenko,Jorge M. Fernandes,Paulo Santos
出处
期刊:IFIP advances in information and communication technology
日期:2020-01-01
卷期号:: 437-444
被引量:7
标识
DOI:10.1007/978-3-030-45124-0_43
摘要
Air Quality research is a trending topic that has received increasing attention from scientific community around the globe. Due to the high relevance of recent discoveries in areas like medicine or chemistry, analytical techniques with high sensitivity and selectivity play a crucial role in the characterization of the ambient air composition. This preliminary study intends to evaluate the air quality around a university campus by profiling VOCs from 14 locations with differentiated characteristics, intended for further industrial contextualization. Multiple air samples were collected from each defined location and further analysed with the GC-IMS technique. Totally, 33 compounds were detected, and their intensity peak values, and drift and retention times were used to identify 11 of them. The suitability of GC-IMS to quickly and easily assess air quality become evident. Further detailed studies should include a wider range of locations to identify new VOCs and their eventual consequences to human health.
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