2018
DOI: 10.1016/j.snb.2017.11.166
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Discriminative and rapid detection of ozone realized by sensor array of Zn2+ doping tailored MoS2 ultrathin nanosheets

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Cited by 52 publications
(36 citation statements)
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“…Development of novel materials for the formation of devices optimized for their use for the detection of target gas contaminants while operating in hazardous environments has always been the subject of prime interest. Up to today, many successes on the pollution gas sensors based on low-dimensional nanostructured materials have been achieved and reported [1][2][3][4].…”
Section: Introductionmentioning
confidence: 99%
“…Development of novel materials for the formation of devices optimized for their use for the detection of target gas contaminants while operating in hazardous environments has always been the subject of prime interest. Up to today, many successes on the pollution gas sensors based on low-dimensional nanostructured materials have been achieved and reported [1][2][3][4].…”
Section: Introductionmentioning
confidence: 99%
“…Shao et al developed a chemoresistive gas sensor based on Zn 2+ doped molybdenum disulfide (Zn:MoS 2 ) . Zn:MoS 2 ultrathin nanosheets (UNs) were synthesized by the hydrothermal method using ammonium molybdate tetrahydrate, thiourea, and zinc acetate [Zn(CH 3 COOH) 2 ·2H 2 O] as precursors.…”
Section: Chemoresistive Materials For E‐nosementioning
confidence: 99%
“…C, Sensing responses of the sensor array based on Zn:MoS 2 UNs for five analytes. D, Principal component analysis (PCA) result showing the classifications based on the response of sensor array to seven analytes (Reproduced with the permission of Reference . Copyright Elsevier, 2018)…”
Section: Chemoresistive Materials For E‐nosementioning
confidence: 99%
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“…According to theoretical calculations, MoS 2 and WS 2 can be employed in all‐optical NO 2 sensors . Recently, 20–50 ppb limits of detection (LOD) were experimentally achieved for resistive disulfide‐based NO 2 sensors . These LODs are still higher with respect to other layered materials, for example, graphene metal‐oxide nanosheets .…”
Section: Introductionmentioning
confidence: 99%