2020
DOI: 10.1039/c9tb02518a
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Nanomaterial-based gas sensors used for breath diagnosis

Abstract: Gas-sensing applications commonly use nanomaterials (NMs) because of their unique physicochemical properties, including a high surface-to-volume ratio, enormous number of active sites, controllable morphology, and potential for miniaturisation.

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Cited by 173 publications
(129 citation statements)
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“…According to the research carried out by Clemens et al, compounds like isoprene, acetone and methanol are expelled in the normal exhalation of breath. However in the case of certain disorders, these three main components show abnormally high or low concentration as compared to healthy volunteers [130] , [131] . Therefore high sensitivity of graphene towards gaseous molecules led to the fabrication of a gas based sensor, which can be utilized for the detection of ethanol, NH 3 , NO 2 , and O 2 [132] .…”
Section: Application Of Different Types Of Graphene Based Sensorsmentioning
confidence: 90%
“…According to the research carried out by Clemens et al, compounds like isoprene, acetone and methanol are expelled in the normal exhalation of breath. However in the case of certain disorders, these three main components show abnormally high or low concentration as compared to healthy volunteers [130] , [131] . Therefore high sensitivity of graphene towards gaseous molecules led to the fabrication of a gas based sensor, which can be utilized for the detection of ethanol, NH 3 , NO 2 , and O 2 [132] .…”
Section: Application Of Different Types Of Graphene Based Sensorsmentioning
confidence: 90%
“…Therefore, the operating temperature optimization according to the target gases is essential for the semiconducting gas sensors. We selected CH 3 COCH 3 , NO 2 , and H 2 S as representative biomarkers of diabetes, asthma, and halitosis, respectively [26]. Figure 5a-c show the 2 × 4 sensors' response to CH 3 COCH 3 , NO 2 , and H 2 S gas over a temperatures range of 150-350 • C with a setting span of 50 • C for the precise temperature classification and efficient experimentation.…”
Section: Resultsmentioning
confidence: 99%
“…The correlation between the concentration of methyl mercaptan and ammonia produced by the bacteria derived from the tongue and dental plague was found in [15]. Abnormal concentrations of ammonia in exhaled air are mainly attributed to the malfunctioning of the kidneys [17]. Kearney et al [18] used the analysis of ammonia in exhaled breath in order to detect an infection caused by the presence of Helicobacter Pylori using a fiber optic sensor.…”
Section: Introductionmentioning
confidence: 99%