Development of MOX Gas Sensors Module for Indoor Air Contaminant Measurement

Abdullah, Abdulnasser Nabil; Kamarudin, Kamarulzaman; Zakaria, Syed Muhammad Mamduh Syed; Adom, Abdul Hamid

doi:10.1088/1757-899x/705/1/012029

Cited by 6 publications

(7 citation statements)

References 8 publications

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“…In addition, the characteristics and response of the MOX sensor are highly affected by the temperature of the metal oxide layer. The temperature range of the layer is said to lie between 200 • C and 500 • C [26][27][28] and is achieved using a built-in heater resistor. This temperature range is essential for stimulating the relevant chemical reaction and improving its selectivity and response rate [26].…”

Section: Metal Oxide Gas Sensormentioning

confidence: 99%

See 1 more Smart Citation

Correction Model for Metal Oxide Sensor Drift Caused by Ambient Temperature and Humidity

Abdullah

Kamarudin

Adom

et al. 2022

Sensors

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For decades, Metal oxide (MOX) gas sensors have been commercially available and used in various applications such as the Smart City, gas monitoring, and safety due to advantages such as high sensitivity, a high detection range, fast reaction time, and cost-effectiveness. However, several factors affect the sensing ability of MOX gas sensors. This article presents the results of a study on the cross-sensitivity of MOX gas sensors toward ambient temperature and humidity. A gas sensor array consisting of temperature and humidity sensors and four different MOX gas sensors (MiCS-5524, GM-402B, GM-502B, and MiCS-6814) was developed. The sensors were subjected to various relative gas concentrations, temperatures (from 16 °C to 30 °C), and humidity levels (from 75% to 45%), representing a typical indoor environment. The results proved that the gas sensor responses were significantly affected by the temperature and humidity. The increased temperature and humidity levels led to a decreased response for all sensors, except for MiCS-6814, which showed the opposite response. Hence, this work proposed regression models for each sensor, which can correct the gas sensor response drift caused by the ambient temperature and humidity variations. The models were validated, and the standard deviations of the corrected sensor response were found to be 1.66 kΩ, 13.17 kΩ, 29.67 kΩ, and 0.12 kΩ, respectively. These values are much smaller compared to the raw sensor response (i.e., 18.22, 24.33 kΩ, 95.18 kΩ, and 2.99 kΩ), indicating that the model provided a more stable output and minimised the drift. Overall, the results also proved that the models can be used for MOX gas sensors employed in the training process, as well as for other sets of gas sensors.

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Section: Metal Oxide Gas Sensormentioning

confidence: 99%

“…A sensor array module was developed that consisted of sensor arrays and was covered by a partially closed chamber, as shown in Figure 2 [27,28]. Four sensors were studied in response to ethanol.…”

Section: Sensor Array Module and Partially Closed Chambermentioning

confidence: 99%

Correction Model for Metal Oxide Sensor Drift Caused by Ambient Temperature and Humidity

Abdullah

Kamarudin

Adom

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…Figure 3(b) shows the resistance value of R1 of 130 Ω in series with the heating resistance of the OX sensor to obtain the correct heating element temperature. When the circuit is given a single 5V power supply, the voltage generated on the heating element (VH) is 1.7 V. A single resistance value R6 of 56 kΩ (resistance load), which is connected with the internal resistance of the RS sensor (resistance when there is a gas target) [24]. Therefore, the OX sensor signal output path marked "NO2_VALUE" is connected to the 10-bit ADC microcontroller based on the voltage divider principle [25].…”

Section: Microcontroller and Driver Circuitrymentioning

confidence: 99%

Low-cost nitrogen dioxide monitoring station based on metal oxide sensor and cellular network

Purbakawaca¹,

Yuwono²,

Alatas³

et al. 2022

IJEECS

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Air pollution has a negative impact on the environment and human health. Meanwhile, the number of conventional air quality monitoring stations is minimal due to high procurement and operational costs. This study proposes a nitrogen dioxide (NO2) pollutant measurement system using the metal oxide sensor (MOX) sensor and cellular network for data transmission in the measurement area. A calibration curve is used to measure NO2 levels based on the sensor's internal resistance changes. Measurement data of NO2 concentration, air temperature, relative humidity, and geospatial information are compiled and sent via global positioning system (GSM), general packet radio service (GPRS) radio communication with transmission intervals of every minute. The database server processes the data and displays it on the web application. System testing results at the Tugu Kujang Bogor at 15:38:00-16:38:00 September 23, 2021, showed that the concentration of NO2 ranged from 0.16-0.52ppm with an average of 270 ppb with an AQI of 133 in the unhealthy category for the sensitive group. The measured NO2 levels are outside the range of the NO2 concentration database in the industrial areas of Bogor and Jakarta for the 2016-2020 period. Therefore, this system provides an excellent opportunity to obtain real-time measurement data in the field.

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“…Due to the rapid development of the Internet of Things (IoT) [1,2], there is an increasing demand for gas sensors used for indoor [3,4] or outdoor [5][6][7][8][9] air quality monitoring. Airborne dust particles typically carry a certain degree of charge or other attached substances.…”

Section: Introductionmentioning

confidence: 99%

A Novel Packaging of the MEMS Gas Sensors Used for Harsh Outdoor and Human Exhale Sampling Applications

Chen

Chang

Chien

et al. 2023

Sensors

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Dust or condensed water present in harsh outdoor or high-humidity human breath samples are one of the key sources that cause false detection in Micro Electro-Mechanical System (MEMS) gas sensors. This paper proposes a novel packaging mechanism for MEMS gas sensors that utilizes a self-anchoring mechanism to embed a hydrophobic polytetrafluoroethylene (PTFE) filter into the upper cover of the gas sensor packaging. This approach is distinct from the current method of external pasting. The proposed packaging mechanism is successfully demonstrated in this study. The test results indicate that the innovative packaging with the PTFE filter reduced the average response value of the sensor to the humidity range of 75~95% RH by 60.6% compared to the packaging without the PTFE filter. Additionally, the packaging passed the High-Accelerated Temperature and Humidity Stress (HAST) reliability test. With a similar sensing mechanism, the proposed packaging embedded with a PTFE filter can be further employed for the application of exhalation-related, such as coronavirus disease 2019 (COVID-19), breath screening.

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Development of MOX Gas Sensors Module for Indoor Air Contaminant Measurement

Cited by 6 publications

References 8 publications

Correction Model for Metal Oxide Sensor Drift Caused by Ambient Temperature and Humidity

Correction Model for Metal Oxide Sensor Drift Caused by Ambient Temperature and Humidity

Low-cost nitrogen dioxide monitoring station based on metal oxide sensor and cellular network

A Novel Packaging of the MEMS Gas Sensors Used for Harsh Outdoor and Human Exhale Sampling Applications

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