کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5009552 1462051 2017 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Quantitative detection of formaldehyde and ammonia gas via metal oxide-modified graphene-based sensor array combining with neural network model
ترجمه فارسی عنوان
تشخیص کمی فرمالدئید و گاز آمونیاک از طریق آرایشگر مبتنی بر گرافن مبتنی بر اکسید فلز با استفاده از مدل شبکه عصبی
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
چکیده انگلیسی


- Metal oxide (MOx)-decorated graphene-based sensor array was presented.
- Sensing properties of MOx/graphene composite toward ammonia and formaldehyde were investigated.
- Neural network-based model was used for the detection of formaldehyde and ammonia mixture.

This paper reports metal oxide (MOx)-decorated graphene-based sensor array combining with back-propagation (BP) neural network toward the detection of indoor air pollutant exposure. Tin dioxide (SnO2) nanospheres and copper oxide (CuO) nanoflowers-decorated graphene were used as candidates for formaldehyde and ammonia gas sensing, respectively. The as-synthesized sensing materials were characterized in terms of their nanostructural, morphological and compositional features by SEM, Raman spectra, and XRD. The sensor array was fabricated via one-step hydrothermal route and layer-by-layer (LbL) self-assembly technique on the substrate with interdigital microelectrodes. The sensing properties of MOx/graphene composite toward the mixture gas of ammonia and formaldehyde, such as dynamic response, sensitivity, response/recovery time, and stability, were investigated at room temperature. And furthermore, this work successfully achieved the recognition and quantitative prediction of components in the gas mixture of formaldehyde and ammonia through the combination of MOx/graphene-based sensor array and neural network-based signal processing technologies.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Sensors and Actuators B: Chemical - Volume 240, March 2017, Pages 55-65
نویسندگان
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