Matches in SemOpenAlex for { <https://semopenalex.org/work/W4311549593> ?p ?o ?g. }
- W4311549593 endingPage "133140" @default.
- W4311549593 startingPage "133140" @default.
- W4311549593 abstract "The elegant two-dimensional (2D) graphitic carbon nitride (GCN) holds great promise in the detection of hazardous toxic gases especially NO2, for environmental protection and public health safety. However, the poor sensitivity and low surface area of bulk 2D GCN restrains its practical applicability of room temperature (RT) NO2 sensing. Herein, we present the fabrication of boron-doped GCN quantum dots ([email protected] QD) coated langasite (LGS) based surface acoustic wave (SAW) sensor for the RT NO2 gas detection, and applied UV activation energy (365 nm) as an effective strategy to further enhance the NO2 sensing. Fascinatingly, under UV light, the [email protected] QD/LGS SAW sensor showed an enhanced gas sensing performance to the NO2 gas (500 ppb - 50 ppm) with high sensitivity (Δf=35.97 kHz/50 ppm), good selectivity, ultra-low detection limit (DL∼7.9 ppb), fast response/recovery times (35 s/43 s), excellent long-term stability as compared to dark condition. This could be attributed to the generation of abundant photoinduced charge carriers under UV activation, which leads to the significant enhancement in conductivity and enlarged mass loading effect, also, the device showed robust sensitivity responses to NO2 gas at various temperatures (RT-200 °C) and relative humidity (20–80%) conditions. Moreover, the effective doping of B to the GCN QD exhibited a typical p-type behavior which is good in agreement with density functional theory predictions that can induce structural defects, vacancies, and amine functional groups leading to a high specific surface area, which can remarkably enhance the sensitivity and selectivity of NO2 gas. This work may provide insights into the design and development of 2D GCN nanostructure-based SAW RT gas sensors for environmental monitoring." @default.
- W4311549593 created "2022-12-27" @default.
- W4311549593 creator A5000766340 @default.
- W4311549593 creator A5006985025 @default.
- W4311549593 creator A5022367744 @default.
- W4311549593 creator A5027444361 @default.
- W4311549593 creator A5055070987 @default.
- W4311549593 creator A5075602269 @default.
- W4311549593 creator A5082869236 @default.
- W4311549593 date "2023-03-01" @default.
- W4311549593 modified "2023-10-10" @default.
- W4311549593 title "Boron doped g-C3N4 quantum dots based highly sensitive surface acoustic wave NO2 sensor with faster gas kinetics under UV light illumination" @default.
- W4311549593 cites W1829828248 @default.
- W4311549593 cites W1983058250 @default.
- W4311549593 cites W2119832103 @default.
- W4311549593 cites W2120989712 @default.
- W4311549593 cites W2197322134 @default.
- W4311549593 cites W2312573052 @default.
- W4311549593 cites W2322445441 @default.
- W4311549593 cites W2406732376 @default.
- W4311549593 cites W2581291138 @default.
- W4311549593 cites W2610303104 @default.
- W4311549593 cites W2619214319 @default.
- W4311549593 cites W2741791008 @default.
- W4311549593 cites W2767874588 @default.
- W4311549593 cites W2801401136 @default.
- W4311549593 cites W2804929560 @default.
- W4311549593 cites W2806564750 @default.
- W4311549593 cites W2888487052 @default.
- W4311549593 cites W2894819055 @default.
- W4311549593 cites W2898564503 @default.
- W4311549593 cites W2904457043 @default.
- W4311549593 cites W2907132522 @default.
- W4311549593 cites W2911258427 @default.
- W4311549593 cites W2913737506 @default.
- W4311549593 cites W2914646901 @default.
- W4311549593 cites W2964524028 @default.
- W4311549593 cites W3000700286 @default.
- W4311549593 cites W3015662904 @default.
- W4311549593 cites W3020517496 @default.
- W4311549593 cites W3040992200 @default.
- W4311549593 cites W3043365338 @default.
- W4311549593 cites W3080219577 @default.
- W4311549593 cites W3081882051 @default.
- W4311549593 cites W3086362548 @default.
- W4311549593 cites W3086755488 @default.
- W4311549593 cites W3088519745 @default.
- W4311549593 cites W3123766027 @default.
- W4311549593 cites W3133356702 @default.
- W4311549593 cites W3142327808 @default.
- W4311549593 cites W3167377735 @default.
- W4311549593 cites W3173641654 @default.
- W4311549593 cites W3182006671 @default.
- W4311549593 cites W3182486342 @default.
- W4311549593 cites W3193289099 @default.
- W4311549593 cites W3214023844 @default.
- W4311549593 cites W3216098569 @default.
- W4311549593 cites W4200513924 @default.
- W4311549593 cites W4212866944 @default.
- W4311549593 cites W4221064086 @default.
- W4311549593 cites W4223429892 @default.
- W4311549593 cites W4281852156 @default.
- W4311549593 cites W4283728727 @default.
- W4311549593 doi "https://doi.org/10.1016/j.snb.2022.133140" @default.
- W4311549593 hasPublicationYear "2023" @default.
- W4311549593 type Work @default.
- W4311549593 citedByCount "11" @default.
- W4311549593 countsByYear W43115495932023 @default.
- W4311549593 crossrefType "journal-article" @default.
- W4311549593 hasAuthorship W4311549593A5000766340 @default.
- W4311549593 hasAuthorship W4311549593A5006985025 @default.
- W4311549593 hasAuthorship W4311549593A5022367744 @default.
- W4311549593 hasAuthorship W4311549593A5027444361 @default.
- W4311549593 hasAuthorship W4311549593A5055070987 @default.
- W4311549593 hasAuthorship W4311549593A5075602269 @default.
- W4311549593 hasAuthorship W4311549593A5082869236 @default.
- W4311549593 hasConcept C120665830 @default.
- W4311549593 hasConcept C121332964 @default.
- W4311549593 hasConcept C124657808 @default.
- W4311549593 hasConcept C158960510 @default.
- W4311549593 hasConcept C161790260 @default.
- W4311549593 hasConcept C162954803 @default.
- W4311549593 hasConcept C171250308 @default.
- W4311549593 hasConcept C185592680 @default.
- W4311549593 hasConcept C192562407 @default.
- W4311549593 hasConcept C201645281 @default.
- W4311549593 hasConcept C2776798109 @default.
- W4311549593 hasConcept C2778835725 @default.
- W4311549593 hasConcept C2780243435 @default.
- W4311549593 hasConcept C49040817 @default.
- W4311549593 hasConcept C55493867 @default.
- W4311549593 hasConcept C57863236 @default.
- W4311549593 hasConcept C65165184 @default.
- W4311549593 hasConcept C97355855 @default.
- W4311549593 hasConceptScore W4311549593C120665830 @default.
- W4311549593 hasConceptScore W4311549593C121332964 @default.
- W4311549593 hasConceptScore W4311549593C124657808 @default.
- W4311549593 hasConceptScore W4311549593C158960510 @default.