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Fabrications of volatile organic compound detector systems based on semiconductor materials SnO2 nanostructure
Yuliarto B.a, Mulyadi M.a, Iqbal M.a, Nugraha N.a
a Advanced Functional Materials Laboratory, Engineering Physics Department, Institut Teknologi Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]Volatile organic compounds (VOCs) could be categorized as the one of air pollution source. They are hazardous to human’s health if they were exposed to human above the allowed threshold level value (TLV). Some of them are odorless and colorless so they were difficult to be detected by human senses. Therefore, the presence of VOCs gas sensor device is required. One of semiconductor materials that usually utilized in sensor applications is SnO2 due to some reasons, i.e. reactive, ease to adsorb gas, and relatively low-cost. SnO2 based VOCs gas sensor could be synthesized with Chemical Bath Deposition (CBD) method that is cost effective, low process temperature and simple. This work would study the sensing performance of SnO2 based VOCs sensor which the kind of VOCs used in this work are ethanol, isopropyl alcohol (IPA) and acetone. The synthesis of SnO2 via CBD method conducted using stannous chloride (SnCl2·2H2O) as precursor and deionized water as solvent. Precursor solutions were prepared with concentration of 0.15 M, ratio of catalyst (urea) and solvent was 1:15. Substrate used in this work was alumina (Al2O3) and it was immersed in precursor solution as long as 48 hours at 60°C. Furthermore, substrate was calcined at 575°C. Synthesized SnO2 thin films were characterized using X-Ray Diffractometer (XRD), Energy Dispersive Spectroscope (EDS) and Scanning Electron Microscope (SEM). Characterization results show that SnO2 thin film successfully formed with morphology in the form of small grains with 90-120 nm in size. From testing result data, optimum performance of sensor has been obtained at operating temperature of 300°C for 500 ppm ethanol with sensitivity level of 99.57%. The sensor is more selective to isopropyl alcohol among others, with highest sensitivity level of 99.94%, response time of 0.15 minutes and recovery time of 7.3 minutes. © 2013 IEEE.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Air pollution sources,Chemical-bath deposition,Low process temperature,Operating temperature,sensitivity,Sensor applications,X ray diffractometers[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]chemical bath deposition,selectivity,sensitivity,VOC[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/ICA.2013.6734083[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]