Electronic nose purging technique for confined space application

Bakar, M.A.A.; Abdullah, Azizi; Saad, Fathinul Syahir Ahmad; Shukor, Shazmin Aniza Abdul; Kamis, M. S.; Razak, A. A. A.; Mustafa, Mahmoud

doi:10.1109/cspa.2017.8064948

Cited by 6 publications

(5 citation statements)

References 12 publications

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“…The circuit voltage was set to V C = 1 V, and the output voltage (V out ) equaled the load resistance voltage [32]. The sensor resistance (R S ) was calculated from the measured value of V out using the relation R s = V C −V out V out .R L [33]. The sensor's working temperature was modified by adjusting the heating voltage (V H ).…”

Section: Gas Sensing Measurementsmentioning

confidence: 99%

SILAR-Deposited CuO Nanostructured Films Doped with Zinc and Sodium for Improved CO2 Gas Detection

Saad,

Ahmed,

Abdelkarem

et al. 2023

Nanomaterials

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Gas sensing is of significant importance in a wide range of disciplines, including industrial safety and environmental monitoring. In this work, a low-cost SILAR (Successive Ionic Layer Adsorption and Reaction) technique was employed to fabricate pure CuO, Zn-doped CuO, and Na-doped CuO nanotextured films to efficiently detect CO2 gas. The structures, morphologies, chemical composition, and optical properties of all films are characterized using different tools. All films exhibit a crystalline monoclinic phase (tenorite) structure. The average crystallite size of pure CuO was 83.5 nm, whereas the values for CuO/Zn and CuO/Na were 73.15 nm and 63.08 nm, respectively. Subsequently, the gas-sensing capabilities of these films were evaluated for the detection of CO2 in terms of sensor response, selectivity, recovery time, response time, and limits of detection and quantification. The CuO/Na film offered the most pronounced sensitivity towards CO2 gas, as evidenced by a sensor response of 12.8% at room temperature and a low limit of detection (LoD) of 2.36 SCCM. The response of this sensor increased to 64.5% as the operating temperature increased to 150 °C. This study thus revealed a brand-new CuO/Na nanostructured film as a highly effective and economically viable sensor for the detection of CO2.

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Section: Gas Sensing Measurementsmentioning

confidence: 99%

SILAR-Deposited CuO Nanostructured Films Doped with Zinc and Sodium for Improved CO2 Gas Detection

Saad,

Ahmed,

Abdelkarem

et al. 2023

Nanomaterials

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“…Intelligent robots equipped with olfactory sensors are designed to perform various search tasks in the chemical field. Bakar et al [195] propose to combine the e-nose with a mobile robot for ambient gas detection in critical areas such as confined spaces. Odor source localization is usually performed by robots with built-in e-noses.…”

Section: Mobile E-nose Systemsmentioning

confidence: 99%

Development of compact electronic noses: a review

Liu

Meng

Lilienthal

et al. 2021

Meas. Sci. Technol.

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An electronic nose (e-nose) is a measuring instrument that mimics human olfaction and outputs ‘fingerprint’ information of mixed gases or odors. Generally speaking, an e-nose is mainly composed of two parts: a gas sensing system (gas sensor arrays, gas transmission paths) and an information processing system (microprocessor and related hardware, pattern recognition algorithms). It has been more than 30 years since the e-nose concept was introduced in the 1980s. Since then, e-noses have evolved from being large in size, expensive, and power-hungry instruments to portable, low cost devices with low power consumption. This paper reviews the development of compact e-nose design and calculation over the last few decades, and discusses possible future trends. Regarding the compact e-nose design, which is related to its size and weight, this paper mainly summarizes the development of sensor array design, hardware circuit design, gas path (i.e. the path through which the mixed gases to be measured flow inside the e-nose system) and sampling design, as well as portable design. For the compact e-nose calculation, which is directly related to its rapidity of detection, this review focuses on the development of on-chip calculation and wireless computing. The future trends of compact e-noses include the integration with the internet of things, wearable e-noses, and mobile e-nose systems.

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“…The system is essential to ensure that all sensors are exposed to the air sample effectively during the sniff cycle. For this confined space application the e-nose has a selfpurging function to ensure that the sensor chamber is purged accordingly [1]. Figure 12 shows a pneumatic system that has been designed as the e-nose self-purging system.…”

Section: Purging Systemmentioning

confidence: 99%

“…This paper is an extension of work originally presented in IEEE 13th International Colloquium on Signal Processing & Its Applications (CSPA 2017) in title of Electronic Nose Purging Technique for Confined Space Application [1]. A confined space is large enough for workers to enter and perform work.…”

Section: Introductionmentioning

confidence: 99%

Development of Application Specific Electronic Nose for Monitoring the Atmospheric Hazards in Confined Space

Bakar¹,

Abdullah²,

Saad³

2019

Adv. sci. technol. eng. syst. j.

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The presence of atmospheric hazards in confined space can contribute towards atmospheric hazards accidents that threaten the worker safety and industry progress. To avoid this, the environment needs to be observed. The air sample can be monitored using the integration of electronic nose (e-nose) and mobile robot. Current technology to monitor the atmospheric hazards is applied before entering confined spaces called pre-entry by using a gas detector. This work aims to develop an instrument to assist workers during pre-entry for atmosphere testing. The developed instrument using specific sensor arrays which were identified based on main hazardous gasses effective value. The instrument utilizes multivariate statistical analysis that is Principal Component Analysis (PCA) for discriminate the different concentrations of gases. The Support Vector Machine (SVM) and Artificial Neural Network (ANN) that is Radial Basis Function Neural Network (RBFNN) are used to classify the acquired data from the air sample. This will increase the instrument capability while the portability will minimize the size and operational complexity as well as increase user friendliness. The instrument was successfully developed, tested and calibrated using fixed concentrations of gases samples. The results proved that the developed instrument is able to discriminate an air sample using PCA with total variation for 99.42%, while the classifier success rate for SVM and RBFNN indicates at 99.28% for train performance and 98.33% for test performance. This will contribute significantly to acquiring a new and alternative method of using the instrument for monitoring the atmospheric hazards in confined space.

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Electronic nose purging technique for confined space application

Cited by 6 publications

References 12 publications

SILAR-Deposited CuO Nanostructured Films Doped with Zinc and Sodium for Improved CO2 Gas Detection

SILAR-Deposited CuO Nanostructured Films Doped with Zinc and Sodium for Improved CO2 Gas Detection

Development of compact electronic noses: a review

Development of Application Specific Electronic Nose for Monitoring the Atmospheric Hazards in Confined Space

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