电子鼻
污染物
微电子机械系统
一氧化碳
工作(物理)
环境科学
灵敏度(控制系统)
硫化氢
材料科学
均方误差
分析化学(期刊)
计算机科学
汽车工程
工艺工程
化学
机械工程
光电子学
纳米技术
电子工程
环境化学
工程类
统计
数学
催化作用
有机化学
冶金
硫黄
生物化学
作者
Tushar Gawande,Raghavendra B. Deshmukh,S. B. Deshmukh
标识
DOI:10.1088/1361-6501/ace073
摘要
Abstract This work explores the use of microelectromechanical system (MEMS) sensors in electronic nose systems for the measurement of prominent industrial pollutants and proposes a methodology for the correction of drift induced in sensors during prolonged use for measurement of corrosive compounds. MEMS sensors have the advantages of low recovery and response time, lower power consumption and improved sensitivity. An electronic nose system is developed to quantify the four major pollutants emitted from various process industries, i.e. hydrogen sulfide (H 2 S), carbon monoxide (CO), ammonia (NH 3 ) and ethanol (C 2 H 5 OH). All four pollutants represent major environmental and human health hazards and rapid quantification is vital. A drift correction algorithm was developed using experimental design and robust regression to correct the drift induced in the sensors. The experiments consisted of eight experimental sets with mixtures of H 2 S, CO, NH 3 and C 2 H 5 OH measured on the same sensor array at the start and after a gap of 1 year. The methodology consisted of mapping the response of sensors after 1 year compared with that observed at the very start (day 1) of the experiment. The results showed successful implementation of the methodology, with the root mean square error values being significantly reduced at 0.235, 0.354, 0.145 and 0.651, respectively, for the four studied odorants (H 2 S, NH 3 , CO, and C 2 H 5 OH).
科研通智能强力驱动
Strongly Powered by AbleSci AI