利用金属氧化物半导体气体传感器阵列和模式识别方法表征禽舍异味

M. Moufid, C. Tiebe, N. El Bari, M. Bartholmai, B. Bouchikhi
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引用次数: 0

摘要

在这项研究中,对位于摩洛哥梅克内斯(Meknes)和德国柏林(Berlin)的三个家禽养殖场开发的电子鼻分析和监测气味排放的能力进行了评估。事实上,电子鼻(电子鼻)的潜力,以区分硫化氢,氨和乙醇的浓度部分进行了研究。此外,报告了相对湿度值(从15%到67%)对气体传感器响应的影响变化,并显示其影响仍然小于0.6%。此外,相关结果证实了所开发的电子鼻系统能够完美地对家禽养殖场的恶臭空气进行分类和监测。
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Characterization of Unpleasant Odors in Poultry Houses Using Metal Oxide Semiconductor-Based Gas Sensor Arrays and Pattern Recognition Methods
In this study, the ability of an electronic nose developed to analyze and monitor odor emissions from three poultry farms located in Meknes (Morocco) and Berlin (Germany) was evaluated. Indeed, the potentiality of the electronic nose (e-nose) to differentiate the concentration fractions of hydrogen sulfide, ammonia, and ethanol was investigated. Furthermore, the impact change of relative humidity values (from 15% to 67%) on the responses of the gas sensors was reported and revealed that the effect remained less than 0.6%. Furthermore, the relevant results confirmed that the developed e-nose system was able to perfectly classify and monitor the odorous air of poultry farms.
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