Computational-based volatile organic compounds discrimination: An experimental low-cost setup

Lecce, Vincenzo Di; Calabrese, Marco; Dario, Rita

doi:10.1109/cimsa.2010.5611763

Cited by 9 publications

(5 citation statements)

References 21 publications

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“…In the presence of a volatile compound, the MOx sensor reacts with the compound, reducing the oxygen on the surface of the metal oxide. Thus, the electrical current flow increases, which is coupled with the resistance values decreasing [19]. The data were then plotted with the axes reversed, as in Figure 1b, and this enabled obtaining a predictive expression to be later used in the model development (Section 3.4), whereby the injected volume amount could be deduced from the resistance measurement.…”

Section: Single Volatile Organic Compoundmentioning

confidence: 99%

Sensing and Delineating Mixed-VOC Composition in the Air Using a Single Metal Oxide Sensor

Thakor

Zhang

2021

Clean Technol.

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Monitoring volatile organic compounds (VOCs) places a crucial role in environmental pollutants control and indoor air quality. In this study, a metal-oxide (MOx) sensor detector (used in a commercially available monitor) was employed to delineate the composition of air containing three common VOCs (ethanol, acetone, and hexane) under various concentrations. Experiments with a single component and double components were conducted to investigate how the solvents interact with the metal oxide sensor. The experimental results revealed that the affinity between VOC and sensor was in the following order: acetone > ethanol > n-hexane. A mathematical model was developed, based on the experimental findings and data analysis, to convert the output resistance value of the sensor into concentration values, which, in turn, can be used to calculate a VOC-based air quality index. Empirical equations were established based on inferences of vapour composition versus resistance trends, and on an approach of using original and diluted air samples to generate two sets of resistance data per sample. The calibration of numerous model parameters allowed matching simulated curves to measured data. Therefore, the predictive mathematical model enabled quantifying the total concentration of sensed VOCs, in addition to estimating the VOC composition. This first attempt to obtain semiquantitative data from a single MOx sensor, despite the remaining selectivity challenges, is aimed at expanding the capability of mobile air pollutants monitoring devices.

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Section: Single Volatile Organic Compoundmentioning

confidence: 99%

Sensing and Delineating Mixed-VOC Composition in the Air Using a Single Metal Oxide Sensor

Thakor

Zhang

2021

Clean Technol.

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“…In the presence of a volatile compound, the MOx sensor reacts with the compound, reducing the oxygen on the surface of the metal oxide. As such, the electrical current flow increases, which is coupled with the resistance values decreasing [9]. The data were then plotted with the axes reversed, as in Figure 1b, and this enabled obtaining a predictive expression to be later used in the model development (Section 3.4), whereby the injected volume amount could be deduced from the resistance measurement.…”

Section: Single Volatile Organic Compoundmentioning

confidence: 99%

“…Among the various sensors, metal oxide (MOx) sensors have been widely used for sensing and monitoring of VOCs [8]. The main structure of a MOx sensor is that a layer of semiconducting metal oxide, usually SnO2, is deposited onto a substrate, and two metal electrodes measure the electrical resistance of the active layer as it contacts the contaminated air above it [9]. The working principle of a MOx sensor is the variation of conductivity in presence of oxidizing and reducing gases [8].…”

Section: Introductionmentioning

confidence: 99%

“…The adsorption and desorption of Oand O2 -changes the electron density at the semiconductor surface. Adsorbed oxygen gives rise to potential barriers at grain boundaries, and thus increases the resistance of the sensor surface, while reducing gases, such as VOCs, decrease the adsorbed oxygen concentration, decreasing the sensor resistance [9]. Many factors influence the reactions on the surface of the semiconductor surface, including natural properties of the base materials and surface areas, the microstructure of sensing layers, surface additives, temperature and humidity [5].…”

Section: Introductionmentioning

confidence: 99%

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Sensing and Delineating Mixed-VOC Composition in Air Using a Single Metal-Oxide Sensor

Thakor¹,

Zhang²

2021

Preprint

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Monitoring volatile organic compounds (VOCs) places a crucial role in environmental pollutants control and indoor air quality. In this study, a metal-oxide (MOx) sensor detector (uRAD A3 mobile air quality monitor) was employed to delineate the composition of air containing three common VOCs (ethanol, acetone and hexane) under various concentrations. Experiments with a single component and double components were conducted to investigate how the solvents interact with the metal oxide sensor. The experimental results revealed that the affinity between VOC and sensor was in the following order: acetone > ethanol > n-hexane. A mathematical model was developed, based on the experimental findings and data analysis, to convert the output resistance value of the sensor into concentration values, which in turn can be used to calculate a VOC-based air quality index. Empirical equations were established based on inferences of vapor composition versus resistance trends, and on an approach of using original and diluted air samples to generate two sets of resistance data per sample. The calibration of numerous model parameters allowed matching simulated curves to measured data. As such, the predictive mathematical model enabled quantifying not only the total concentration of sensed VOCs, but also estimating the VOC composition. This first attempt to obtain semi-quantitative data from a single MOx sensor is aimed at expanding the capability of mobile air pollutants monitoring devices.

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“…Data quality objectives (DQOs) of environment must be considered as part of technology development and a focus should be made on the most urgent problems. It depends on sensors' sensitivity and selectivity [6]. Sensitivity is used to refer either to the lowest level of chemical concentration that can be detected or to the smallest increment of concentration that can be detected in the sensing environment.…”

Section: Introductionmentioning

confidence: 99%

Development of Electronic Nose and Program for Monitoring Air Pollutions and Alarm in Industrial Area

Srinonchat¹

2013

IJCEE

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This article presents the development of electronicnose and program for monitoring air pollutions and alarm inindustrial area. The design of electronic nose depends onphysical connectivity of the sensors, relating to the datamanagement, computing management and informationmanagement. Therefore, the sampling, filtering and sensorsmodule, signal transducers and acquisition, data preprocessing,feature extraction and feature classification are applied in thedesign of an electronic nose. There are 4 sensors areinvestigated to use as electronic nose in this experiment whichconsist of TGS2620, TGS2620, TGS2442 and TGS832. Thesesensors are operated with LabVIEW program. The experimentresults show that these sensors can classify and sensitive to thedifferent gas such as Methanol n-Propanol, Hexane andDichloromethane. The PCA is also used to classify group of gassensor. The system also performs the warning and alarm systemwhen the gas is leak

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Computational-based volatile organic compounds discrimination: An experimental low-cost setup

Cited by 9 publications

References 21 publications

Sensing and Delineating Mixed-VOC Composition in the Air Using a Single Metal Oxide Sensor

Sensing and Delineating Mixed-VOC Composition in the Air Using a Single Metal Oxide Sensor

Sensing and Delineating Mixed-VOC Composition in Air Using a Single Metal-Oxide Sensor

Development of Electronic Nose and Program for Monitoring Air Pollutions and Alarm in Industrial Area

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