2019
DOI: 10.3390/s19173760
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Review on Smart Gas Sensing Technology

Abstract: With the development of the Internet-of-Things (IoT) technology, the applications of gas sensors in the fields of smart homes, wearable devices, and smart mobile terminals have developed by leaps and bounds. In such complex sensing scenarios, the gas sensor shows the defects of cross sensitivity and low selectivity. Therefore, smart gas sensing methods have been proposed to address these issues by adding sensor arrays, signal processing, and machine learning techniques to traditional gas sensing technologies. … Show more

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Cited by 225 publications
(144 citation statements)
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“…It imitates the human brain, and solves several practical problems in different fields [36]. ANN performs its tasks as follows: As shown in Figure 2, each neuron receives and adds the signal from the previous layer that has a weight relation, compares weighted sum to threshold values and generates outputs by activation function such as sigmoid function, radial basis [37]. There are two simple separate single layer and multilayer versions.…”
Section: Non-linear Classification Methodsmentioning
confidence: 99%
“…It imitates the human brain, and solves several practical problems in different fields [36]. ANN performs its tasks as follows: As shown in Figure 2, each neuron receives and adds the signal from the previous layer that has a weight relation, compares weighted sum to threshold values and generates outputs by activation function such as sigmoid function, radial basis [37]. There are two simple separate single layer and multilayer versions.…”
Section: Non-linear Classification Methodsmentioning
confidence: 99%
“…Apart from the competing advantages of those sensing materials, polymers-based SAW structures demonstrated improved performance in gas sensing, owing to their low density and shear velocity. Additionally, polymers also have high sensitivity at room temperature (as opposed to semiconducting metal oxides) and report good cost-effectiveness (compared to carbon based materials) [6,11]. Among various types of SAW structures (e.g., Rayleigh, shear horizontal SAW, Love, leaky), those based on Love waves (L-SAW) have been identified to have high mass sensitivity, generally, due to the surface confinement of energy in the thin guiding layer, which makes the surface extremely sensitive to any perturbations [12].…”
Section: Introductionmentioning
confidence: 99%
“…Although breath contains many kinds of gas species, including water (H 2 O), carbon monoxide (CO), carbon dioxide (CO 2 ), nitrogen (N 2 ), ammonia (NH 3 ), nitrogen monoxide (NO), hydrogen sulfide (H 2 S), and more than 1,000 kinds of volatile organic compounds (VOC) [13], the simple molecular structures of these low molecular compounds make it difficult to achieve specific molecular recognition compared with biomarkers having complex molecular structures, such as proteins. Therefore, a recent strategy is based on chemometrics, which are comprised of pattern-recognition protocols of multiple signals obtained from sensor arrays with different selectivities [14].…”
Section: Introductionmentioning
confidence: 99%
“…To fabricate a sensor array with different selectivities, an effective strategy is to change the materials of the sensing interface. Various materials have been utilized as components of sensor arrays, including ionic liquids [15], single-stranded DNAs [16], reduced graphene oxide [17], and metalloporphyrin [14]. In particular, metalloporphyrin with different metal ligands has been preferably utilized as a sensing interface because of the ligands' different reactivities toward gas molecules in spite of their similar structures.…”
Section: Introductionmentioning
confidence: 99%