2016
DOI: 10.1016/j.snb.2015.08.128
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A novel spectrum analysis technique for odor sensing in optical electronic nose

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Cited by 24 publications
(18 citation statements)
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“…However, these sensors have some demerits such as expensive, very complex, and low portability due to difficulty of miniaturization. 94,98,115 Several successful attempts regarding the application of e-nose for monitoring the spoilage of meat and meat products prove the efficacy of this analytical method. Incorporation of various sensing elements to sensor arrays will enable e-noses to offer novel prospects for detecting specific markers.…”
Section: Electronic Nosementioning
confidence: 98%
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“…However, these sensors have some demerits such as expensive, very complex, and low portability due to difficulty of miniaturization. 94,98,115 Several successful attempts regarding the application of e-nose for monitoring the spoilage of meat and meat products prove the efficacy of this analytical method. Incorporation of various sensing elements to sensor arrays will enable e-noses to offer novel prospects for detecting specific markers.…”
Section: Electronic Nosementioning
confidence: 98%
“…Currently, different types of sensing systems including metal oxide semiconductors, conducting polymers, and piezoelectric crystal sensors are used to observe the spoilage of meat. Besides these conductive sensors, there are surface acoustic wave sensors, chemoresistor sensors, quartz crystal microbalance, and optical sensors for detecting odors. Among all these sensors, the metal oxide semiconductor and conducting sensors are widely used for monitoring the quality of meat .…”
Section: Sensors Used In Meat Industrymentioning
confidence: 99%
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“…Other studies in different institutions have done some projects that apply temperature modulation through metal-oxide sensors [5][6][7][8][9]. On the other hand, some works have been focused on researching frequency spectrum analysis in order to improve the gas sensor performance, discriminating odors of similar response under noisy conditions, and modulation techniques using processing methods such as: cluster analysis, principal components, and neural networks, where a signal from a device for data acquisition was acquired and afterwards the gas sensor response was analyzed [10,11]. The work done by Anindita and Kanak about "A Temperature Modulation Circuit for Metal Oxide Semiconductor Gas Sensor" was taken as reference in this research in order to try to apply equivalent procedures, but obtaining different results [12].…”
Section: Introductionmentioning
confidence: 99%