Controllable acid vapor oxidation growth of complex SnO2 nanostructures for ultrasensitive ethanol sensing
Controllable assembly from one-dimensional (1-D) and two-dimensional (2-D) nanoscale structures to three-dimensional (3-D) complex nanostructures has attracted great interest. For the first time, nanorods and nanosheets were controllably assembled into 3-D SnO2 nanoflower architectures based on a fa...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Tian, Xin [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2022transfer abstract |
|---|
| Schlagwörter: |
|---|
| Umfang: |
10 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Soil and water bioengineering: Practice and research needs for reconciling natural hazard control and ecological restoration - Rey, F. ELSEVIER, 2018, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:48 ; year:2022 ; number:7 ; day:1 ; month:04 ; pages:9229-9238 ; extent:10 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.ceramint.2021.12.109 |
|---|
| Katalog-ID: |
ELV056930410 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | ELV056930410 | ||
| 003 | DE-627 | ||
| 005 | 20230626044212.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 220808s2022 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.ceramint.2021.12.109 |2 doi | |
| 028 | 5 | 2 | |a /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001721.pica |
| 035 | |a (DE-627)ELV056930410 | ||
| 035 | |a (ELSEVIER)S0272-8842(21)03890-6 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 333.7 |a 610 |q VZ |
| 084 | |a 43.12 |2 bkl | ||
| 084 | |a 43.13 |2 bkl | ||
| 084 | |a 44.13 |2 bkl | ||
| 100 | 1 | |a Tian, Xin |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Controllable acid vapor oxidation growth of complex SnO2 nanostructures for ultrasensitive ethanol sensing |
| 264 | 1 | |c 2022transfer abstract | |
| 300 | |a 10 | ||
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
| 337 | |a nicht spezifiziert |b z |2 rdamedia | ||
| 338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
| 520 | |a Controllable assembly from one-dimensional (1-D) and two-dimensional (2-D) nanoscale structures to three-dimensional (3-D) complex nanostructures has attracted great interest. For the first time, nanorods and nanosheets were controllably assembled into 3-D SnO2 nanoflower architectures based on a facile and shape-controlled acid vapor oxidation (AVO) method from the substrate in a simple reaction system. The as-prepared 3-D SnO2 nanoflowers have diameters ranging from 625 to 875 nm and are self-assembled by many nanorods and nanosheets with diameters and thicknesses of 33 nm. The growth of SnO2 with different morphologies was studied by controlling the reaction temperature and hydrochloric acid concentration. Their application in gas sensing was evaluated, indicating that the 3-D SnO2 nanoflower-based sensor is ultrasensitive to ethanol with a response of 2.54–50 ppb at the optimal working temperature of 230 °C. This work offers a facile, shape-controlled, and efficient route to synthesize complex SnO2 nanoflowers for gas detection with high performance, including ultrahigh sensitivity, good selectivity, and reversibility. | ||
| 520 | |a Controllable assembly from one-dimensional (1-D) and two-dimensional (2-D) nanoscale structures to three-dimensional (3-D) complex nanostructures has attracted great interest. For the first time, nanorods and nanosheets were controllably assembled into 3-D SnO2 nanoflower architectures based on a facile and shape-controlled acid vapor oxidation (AVO) method from the substrate in a simple reaction system. The as-prepared 3-D SnO2 nanoflowers have diameters ranging from 625 to 875 nm and are self-assembled by many nanorods and nanosheets with diameters and thicknesses of 33 nm. The growth of SnO2 with different morphologies was studied by controlling the reaction temperature and hydrochloric acid concentration. Their application in gas sensing was evaluated, indicating that the 3-D SnO2 nanoflower-based sensor is ultrasensitive to ethanol with a response of 2.54–50 ppb at the optimal working temperature of 230 °C. This work offers a facile, shape-controlled, and efficient route to synthesize complex SnO2 nanoflowers for gas detection with high performance, including ultrahigh sensitivity, good selectivity, and reversibility. | ||
| 650 | 7 | |a Nanosheets |2 Elsevier | |
| 650 | 7 | |a Ethanol |2 Elsevier | |
| 650 | 7 | |a AVO |2 Elsevier | |
| 650 | 7 | |a Gas sensing |2 Elsevier | |
| 650 | 7 | |a SnO2 nanoflowers |2 Elsevier | |
| 650 | 7 | |a Nanorods |2 Elsevier | |
| 700 | 1 | |a Cao, Huitong |4 oth | |
| 700 | 1 | |a Wei, Xueyong |4 oth | |
| 700 | 1 | |a Wang, Jiuhong |4 oth | |
| 700 | 1 | |a Wu, Xinyu |4 oth | |
| 700 | 1 | |a Wang, Hairong |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier Science |a Rey, F. ELSEVIER |t Soil and water bioengineering: Practice and research needs for reconciling natural hazard control and ecological restoration |d 2018 |g Amsterdam [u.a.] |w (DE-627)ELV000899798 |
| 773 | 1 | 8 | |g volume:48 |g year:2022 |g number:7 |g day:1 |g month:04 |g pages:9229-9238 |g extent:10 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.ceramint.2021.12.109 |3 Volltext |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a GBV_ELV | ||
| 912 | |a SYSFLAG_U | ||
| 912 | |a SSG-OLC-PHA | ||
| 912 | |a SSG-OPC-GGO | ||
| 936 | b | k | |a 43.12 |j Umweltchemie |q VZ |
| 936 | b | k | |a 43.13 |j Umwelttoxikologie |q VZ |
| 936 | b | k | |a 44.13 |j Medizinische Ökologie |q VZ |
| 951 | |a AR | ||
| 952 | |d 48 |j 2022 |e 7 |b 1 |c 0401 |h 9229-9238 |g 10 | ||
| author_variant |
x t xt |
|---|---|
| matchkey_str |
tianxincaohuitongweixueyongwangjiuhongwu:2022----:otolbecdaooiainrwhfopesonnsrcuefrl |
| hierarchy_sort_str |
2022transfer abstract |
| bklnumber |
43.12 43.13 44.13 |
| publishDate |
2022 |
| allfields |
10.1016/j.ceramint.2021.12.109 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001721.pica (DE-627)ELV056930410 (ELSEVIER)S0272-8842(21)03890-6 DE-627 ger DE-627 rakwb eng 333.7 610 VZ 43.12 bkl 43.13 bkl 44.13 bkl Tian, Xin verfasserin aut Controllable acid vapor oxidation growth of complex SnO2 nanostructures for ultrasensitive ethanol sensing 2022transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Controllable assembly from one-dimensional (1-D) and two-dimensional (2-D) nanoscale structures to three-dimensional (3-D) complex nanostructures has attracted great interest. For the first time, nanorods and nanosheets were controllably assembled into 3-D SnO2 nanoflower architectures based on a facile and shape-controlled acid vapor oxidation (AVO) method from the substrate in a simple reaction system. The as-prepared 3-D SnO2 nanoflowers have diameters ranging from 625 to 875 nm and are self-assembled by many nanorods and nanosheets with diameters and thicknesses of 33 nm. The growth of SnO2 with different morphologies was studied by controlling the reaction temperature and hydrochloric acid concentration. Their application in gas sensing was evaluated, indicating that the 3-D SnO2 nanoflower-based sensor is ultrasensitive to ethanol with a response of 2.54–50 ppb at the optimal working temperature of 230 °C. This work offers a facile, shape-controlled, and efficient route to synthesize complex SnO2 nanoflowers for gas detection with high performance, including ultrahigh sensitivity, good selectivity, and reversibility. Controllable assembly from one-dimensional (1-D) and two-dimensional (2-D) nanoscale structures to three-dimensional (3-D) complex nanostructures has attracted great interest. For the first time, nanorods and nanosheets were controllably assembled into 3-D SnO2 nanoflower architectures based on a facile and shape-controlled acid vapor oxidation (AVO) method from the substrate in a simple reaction system. The as-prepared 3-D SnO2 nanoflowers have diameters ranging from 625 to 875 nm and are self-assembled by many nanorods and nanosheets with diameters and thicknesses of 33 nm. The growth of SnO2 with different morphologies was studied by controlling the reaction temperature and hydrochloric acid concentration. Their application in gas sensing was evaluated, indicating that the 3-D SnO2 nanoflower-based sensor is ultrasensitive to ethanol with a response of 2.54–50 ppb at the optimal working temperature of 230 °C. This work offers a facile, shape-controlled, and efficient route to synthesize complex SnO2 nanoflowers for gas detection with high performance, including ultrahigh sensitivity, good selectivity, and reversibility. Nanosheets Elsevier Ethanol Elsevier AVO Elsevier Gas sensing Elsevier SnO2 nanoflowers Elsevier Nanorods Elsevier Cao, Huitong oth Wei, Xueyong oth Wang, Jiuhong oth Wu, Xinyu oth Wang, Hairong oth Enthalten in Elsevier Science Rey, F. ELSEVIER Soil and water bioengineering: Practice and research needs for reconciling natural hazard control and ecological restoration 2018 Amsterdam [u.a.] (DE-627)ELV000899798 volume:48 year:2022 number:7 day:1 month:04 pages:9229-9238 extent:10 https://doi.org/10.1016/j.ceramint.2021.12.109 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 43.12 Umweltchemie VZ 43.13 Umwelttoxikologie VZ 44.13 Medizinische Ökologie VZ AR 48 2022 7 1 0401 9229-9238 10 |
| spelling |
10.1016/j.ceramint.2021.12.109 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001721.pica (DE-627)ELV056930410 (ELSEVIER)S0272-8842(21)03890-6 DE-627 ger DE-627 rakwb eng 333.7 610 VZ 43.12 bkl 43.13 bkl 44.13 bkl Tian, Xin verfasserin aut Controllable acid vapor oxidation growth of complex SnO2 nanostructures for ultrasensitive ethanol sensing 2022transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Controllable assembly from one-dimensional (1-D) and two-dimensional (2-D) nanoscale structures to three-dimensional (3-D) complex nanostructures has attracted great interest. For the first time, nanorods and nanosheets were controllably assembled into 3-D SnO2 nanoflower architectures based on a facile and shape-controlled acid vapor oxidation (AVO) method from the substrate in a simple reaction system. The as-prepared 3-D SnO2 nanoflowers have diameters ranging from 625 to 875 nm and are self-assembled by many nanorods and nanosheets with diameters and thicknesses of 33 nm. The growth of SnO2 with different morphologies was studied by controlling the reaction temperature and hydrochloric acid concentration. Their application in gas sensing was evaluated, indicating that the 3-D SnO2 nanoflower-based sensor is ultrasensitive to ethanol with a response of 2.54–50 ppb at the optimal working temperature of 230 °C. This work offers a facile, shape-controlled, and efficient route to synthesize complex SnO2 nanoflowers for gas detection with high performance, including ultrahigh sensitivity, good selectivity, and reversibility. Controllable assembly from one-dimensional (1-D) and two-dimensional (2-D) nanoscale structures to three-dimensional (3-D) complex nanostructures has attracted great interest. For the first time, nanorods and nanosheets were controllably assembled into 3-D SnO2 nanoflower architectures based on a facile and shape-controlled acid vapor oxidation (AVO) method from the substrate in a simple reaction system. The as-prepared 3-D SnO2 nanoflowers have diameters ranging from 625 to 875 nm and are self-assembled by many nanorods and nanosheets with diameters and thicknesses of 33 nm. The growth of SnO2 with different morphologies was studied by controlling the reaction temperature and hydrochloric acid concentration. Their application in gas sensing was evaluated, indicating that the 3-D SnO2 nanoflower-based sensor is ultrasensitive to ethanol with a response of 2.54–50 ppb at the optimal working temperature of 230 °C. This work offers a facile, shape-controlled, and efficient route to synthesize complex SnO2 nanoflowers for gas detection with high performance, including ultrahigh sensitivity, good selectivity, and reversibility. Nanosheets Elsevier Ethanol Elsevier AVO Elsevier Gas sensing Elsevier SnO2 nanoflowers Elsevier Nanorods Elsevier Cao, Huitong oth Wei, Xueyong oth Wang, Jiuhong oth Wu, Xinyu oth Wang, Hairong oth Enthalten in Elsevier Science Rey, F. ELSEVIER Soil and water bioengineering: Practice and research needs for reconciling natural hazard control and ecological restoration 2018 Amsterdam [u.a.] (DE-627)ELV000899798 volume:48 year:2022 number:7 day:1 month:04 pages:9229-9238 extent:10 https://doi.org/10.1016/j.ceramint.2021.12.109 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 43.12 Umweltchemie VZ 43.13 Umwelttoxikologie VZ 44.13 Medizinische Ökologie VZ AR 48 2022 7 1 0401 9229-9238 10 |
| allfields_unstemmed |
10.1016/j.ceramint.2021.12.109 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001721.pica (DE-627)ELV056930410 (ELSEVIER)S0272-8842(21)03890-6 DE-627 ger DE-627 rakwb eng 333.7 610 VZ 43.12 bkl 43.13 bkl 44.13 bkl Tian, Xin verfasserin aut Controllable acid vapor oxidation growth of complex SnO2 nanostructures for ultrasensitive ethanol sensing 2022transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Controllable assembly from one-dimensional (1-D) and two-dimensional (2-D) nanoscale structures to three-dimensional (3-D) complex nanostructures has attracted great interest. For the first time, nanorods and nanosheets were controllably assembled into 3-D SnO2 nanoflower architectures based on a facile and shape-controlled acid vapor oxidation (AVO) method from the substrate in a simple reaction system. The as-prepared 3-D SnO2 nanoflowers have diameters ranging from 625 to 875 nm and are self-assembled by many nanorods and nanosheets with diameters and thicknesses of 33 nm. The growth of SnO2 with different morphologies was studied by controlling the reaction temperature and hydrochloric acid concentration. Their application in gas sensing was evaluated, indicating that the 3-D SnO2 nanoflower-based sensor is ultrasensitive to ethanol with a response of 2.54–50 ppb at the optimal working temperature of 230 °C. This work offers a facile, shape-controlled, and efficient route to synthesize complex SnO2 nanoflowers for gas detection with high performance, including ultrahigh sensitivity, good selectivity, and reversibility. Controllable assembly from one-dimensional (1-D) and two-dimensional (2-D) nanoscale structures to three-dimensional (3-D) complex nanostructures has attracted great interest. For the first time, nanorods and nanosheets were controllably assembled into 3-D SnO2 nanoflower architectures based on a facile and shape-controlled acid vapor oxidation (AVO) method from the substrate in a simple reaction system. The as-prepared 3-D SnO2 nanoflowers have diameters ranging from 625 to 875 nm and are self-assembled by many nanorods and nanosheets with diameters and thicknesses of 33 nm. The growth of SnO2 with different morphologies was studied by controlling the reaction temperature and hydrochloric acid concentration. Their application in gas sensing was evaluated, indicating that the 3-D SnO2 nanoflower-based sensor is ultrasensitive to ethanol with a response of 2.54–50 ppb at the optimal working temperature of 230 °C. This work offers a facile, shape-controlled, and efficient route to synthesize complex SnO2 nanoflowers for gas detection with high performance, including ultrahigh sensitivity, good selectivity, and reversibility. Nanosheets Elsevier Ethanol Elsevier AVO Elsevier Gas sensing Elsevier SnO2 nanoflowers Elsevier Nanorods Elsevier Cao, Huitong oth Wei, Xueyong oth Wang, Jiuhong oth Wu, Xinyu oth Wang, Hairong oth Enthalten in Elsevier Science Rey, F. ELSEVIER Soil and water bioengineering: Practice and research needs for reconciling natural hazard control and ecological restoration 2018 Amsterdam [u.a.] (DE-627)ELV000899798 volume:48 year:2022 number:7 day:1 month:04 pages:9229-9238 extent:10 https://doi.org/10.1016/j.ceramint.2021.12.109 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 43.12 Umweltchemie VZ 43.13 Umwelttoxikologie VZ 44.13 Medizinische Ökologie VZ AR 48 2022 7 1 0401 9229-9238 10 |
| allfieldsGer |
10.1016/j.ceramint.2021.12.109 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001721.pica (DE-627)ELV056930410 (ELSEVIER)S0272-8842(21)03890-6 DE-627 ger DE-627 rakwb eng 333.7 610 VZ 43.12 bkl 43.13 bkl 44.13 bkl Tian, Xin verfasserin aut Controllable acid vapor oxidation growth of complex SnO2 nanostructures for ultrasensitive ethanol sensing 2022transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Controllable assembly from one-dimensional (1-D) and two-dimensional (2-D) nanoscale structures to three-dimensional (3-D) complex nanostructures has attracted great interest. For the first time, nanorods and nanosheets were controllably assembled into 3-D SnO2 nanoflower architectures based on a facile and shape-controlled acid vapor oxidation (AVO) method from the substrate in a simple reaction system. The as-prepared 3-D SnO2 nanoflowers have diameters ranging from 625 to 875 nm and are self-assembled by many nanorods and nanosheets with diameters and thicknesses of 33 nm. The growth of SnO2 with different morphologies was studied by controlling the reaction temperature and hydrochloric acid concentration. Their application in gas sensing was evaluated, indicating that the 3-D SnO2 nanoflower-based sensor is ultrasensitive to ethanol with a response of 2.54–50 ppb at the optimal working temperature of 230 °C. This work offers a facile, shape-controlled, and efficient route to synthesize complex SnO2 nanoflowers for gas detection with high performance, including ultrahigh sensitivity, good selectivity, and reversibility. Controllable assembly from one-dimensional (1-D) and two-dimensional (2-D) nanoscale structures to three-dimensional (3-D) complex nanostructures has attracted great interest. For the first time, nanorods and nanosheets were controllably assembled into 3-D SnO2 nanoflower architectures based on a facile and shape-controlled acid vapor oxidation (AVO) method from the substrate in a simple reaction system. The as-prepared 3-D SnO2 nanoflowers have diameters ranging from 625 to 875 nm and are self-assembled by many nanorods and nanosheets with diameters and thicknesses of 33 nm. The growth of SnO2 with different morphologies was studied by controlling the reaction temperature and hydrochloric acid concentration. Their application in gas sensing was evaluated, indicating that the 3-D SnO2 nanoflower-based sensor is ultrasensitive to ethanol with a response of 2.54–50 ppb at the optimal working temperature of 230 °C. This work offers a facile, shape-controlled, and efficient route to synthesize complex SnO2 nanoflowers for gas detection with high performance, including ultrahigh sensitivity, good selectivity, and reversibility. Nanosheets Elsevier Ethanol Elsevier AVO Elsevier Gas sensing Elsevier SnO2 nanoflowers Elsevier Nanorods Elsevier Cao, Huitong oth Wei, Xueyong oth Wang, Jiuhong oth Wu, Xinyu oth Wang, Hairong oth Enthalten in Elsevier Science Rey, F. ELSEVIER Soil and water bioengineering: Practice and research needs for reconciling natural hazard control and ecological restoration 2018 Amsterdam [u.a.] (DE-627)ELV000899798 volume:48 year:2022 number:7 day:1 month:04 pages:9229-9238 extent:10 https://doi.org/10.1016/j.ceramint.2021.12.109 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 43.12 Umweltchemie VZ 43.13 Umwelttoxikologie VZ 44.13 Medizinische Ökologie VZ AR 48 2022 7 1 0401 9229-9238 10 |
| allfieldsSound |
10.1016/j.ceramint.2021.12.109 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001721.pica (DE-627)ELV056930410 (ELSEVIER)S0272-8842(21)03890-6 DE-627 ger DE-627 rakwb eng 333.7 610 VZ 43.12 bkl 43.13 bkl 44.13 bkl Tian, Xin verfasserin aut Controllable acid vapor oxidation growth of complex SnO2 nanostructures for ultrasensitive ethanol sensing 2022transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Controllable assembly from one-dimensional (1-D) and two-dimensional (2-D) nanoscale structures to three-dimensional (3-D) complex nanostructures has attracted great interest. For the first time, nanorods and nanosheets were controllably assembled into 3-D SnO2 nanoflower architectures based on a facile and shape-controlled acid vapor oxidation (AVO) method from the substrate in a simple reaction system. The as-prepared 3-D SnO2 nanoflowers have diameters ranging from 625 to 875 nm and are self-assembled by many nanorods and nanosheets with diameters and thicknesses of 33 nm. The growth of SnO2 with different morphologies was studied by controlling the reaction temperature and hydrochloric acid concentration. Their application in gas sensing was evaluated, indicating that the 3-D SnO2 nanoflower-based sensor is ultrasensitive to ethanol with a response of 2.54–50 ppb at the optimal working temperature of 230 °C. This work offers a facile, shape-controlled, and efficient route to synthesize complex SnO2 nanoflowers for gas detection with high performance, including ultrahigh sensitivity, good selectivity, and reversibility. Controllable assembly from one-dimensional (1-D) and two-dimensional (2-D) nanoscale structures to three-dimensional (3-D) complex nanostructures has attracted great interest. For the first time, nanorods and nanosheets were controllably assembled into 3-D SnO2 nanoflower architectures based on a facile and shape-controlled acid vapor oxidation (AVO) method from the substrate in a simple reaction system. The as-prepared 3-D SnO2 nanoflowers have diameters ranging from 625 to 875 nm and are self-assembled by many nanorods and nanosheets with diameters and thicknesses of 33 nm. The growth of SnO2 with different morphologies was studied by controlling the reaction temperature and hydrochloric acid concentration. Their application in gas sensing was evaluated, indicating that the 3-D SnO2 nanoflower-based sensor is ultrasensitive to ethanol with a response of 2.54–50 ppb at the optimal working temperature of 230 °C. This work offers a facile, shape-controlled, and efficient route to synthesize complex SnO2 nanoflowers for gas detection with high performance, including ultrahigh sensitivity, good selectivity, and reversibility. Nanosheets Elsevier Ethanol Elsevier AVO Elsevier Gas sensing Elsevier SnO2 nanoflowers Elsevier Nanorods Elsevier Cao, Huitong oth Wei, Xueyong oth Wang, Jiuhong oth Wu, Xinyu oth Wang, Hairong oth Enthalten in Elsevier Science Rey, F. ELSEVIER Soil and water bioengineering: Practice and research needs for reconciling natural hazard control and ecological restoration 2018 Amsterdam [u.a.] (DE-627)ELV000899798 volume:48 year:2022 number:7 day:1 month:04 pages:9229-9238 extent:10 https://doi.org/10.1016/j.ceramint.2021.12.109 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 43.12 Umweltchemie VZ 43.13 Umwelttoxikologie VZ 44.13 Medizinische Ökologie VZ AR 48 2022 7 1 0401 9229-9238 10 |
| language |
English |
| source |
Enthalten in Soil and water bioengineering: Practice and research needs for reconciling natural hazard control and ecological restoration Amsterdam [u.a.] volume:48 year:2022 number:7 day:1 month:04 pages:9229-9238 extent:10 |
| sourceStr |
Enthalten in Soil and water bioengineering: Practice and research needs for reconciling natural hazard control and ecological restoration Amsterdam [u.a.] volume:48 year:2022 number:7 day:1 month:04 pages:9229-9238 extent:10 |
| format_phy_str_mv |
Article |
| bklname |
Umweltchemie Umwelttoxikologie Medizinische Ökologie |
| institution |
findex.gbv.de |
| topic_facet |
Nanosheets Ethanol AVO Gas sensing SnO2 nanoflowers Nanorods |
| dewey-raw |
333.7 |
| isfreeaccess_bool |
false |
| container_title |
Soil and water bioengineering: Practice and research needs for reconciling natural hazard control and ecological restoration |
| authorswithroles_txt_mv |
Tian, Xin @@aut@@ Cao, Huitong @@oth@@ Wei, Xueyong @@oth@@ Wang, Jiuhong @@oth@@ Wu, Xinyu @@oth@@ Wang, Hairong @@oth@@ |
| publishDateDaySort_date |
2022-01-01T00:00:00Z |
| hierarchy_top_id |
ELV000899798 |
| dewey-sort |
3333.7 |
| id |
ELV056930410 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV056930410</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626044212.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220808s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.ceramint.2021.12.109</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001721.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV056930410</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0272-8842(21)03890-6</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">333.7</subfield><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">43.12</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">43.13</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.13</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Tian, Xin</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Controllable acid vapor oxidation growth of complex SnO2 nanostructures for ultrasensitive ethanol sensing</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">10</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Controllable assembly from one-dimensional (1-D) and two-dimensional (2-D) nanoscale structures to three-dimensional (3-D) complex nanostructures has attracted great interest. For the first time, nanorods and nanosheets were controllably assembled into 3-D SnO2 nanoflower architectures based on a facile and shape-controlled acid vapor oxidation (AVO) method from the substrate in a simple reaction system. The as-prepared 3-D SnO2 nanoflowers have diameters ranging from 625 to 875 nm and are self-assembled by many nanorods and nanosheets with diameters and thicknesses of 33 nm. The growth of SnO2 with different morphologies was studied by controlling the reaction temperature and hydrochloric acid concentration. Their application in gas sensing was evaluated, indicating that the 3-D SnO2 nanoflower-based sensor is ultrasensitive to ethanol with a response of 2.54–50 ppb at the optimal working temperature of 230 °C. This work offers a facile, shape-controlled, and efficient route to synthesize complex SnO2 nanoflowers for gas detection with high performance, including ultrahigh sensitivity, good selectivity, and reversibility.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Controllable assembly from one-dimensional (1-D) and two-dimensional (2-D) nanoscale structures to three-dimensional (3-D) complex nanostructures has attracted great interest. For the first time, nanorods and nanosheets were controllably assembled into 3-D SnO2 nanoflower architectures based on a facile and shape-controlled acid vapor oxidation (AVO) method from the substrate in a simple reaction system. The as-prepared 3-D SnO2 nanoflowers have diameters ranging from 625 to 875 nm and are self-assembled by many nanorods and nanosheets with diameters and thicknesses of 33 nm. The growth of SnO2 with different morphologies was studied by controlling the reaction temperature and hydrochloric acid concentration. Their application in gas sensing was evaluated, indicating that the 3-D SnO2 nanoflower-based sensor is ultrasensitive to ethanol with a response of 2.54–50 ppb at the optimal working temperature of 230 °C. This work offers a facile, shape-controlled, and efficient route to synthesize complex SnO2 nanoflowers for gas detection with high performance, including ultrahigh sensitivity, good selectivity, and reversibility.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Nanosheets</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Ethanol</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">AVO</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Gas sensing</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">SnO2 nanoflowers</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Nanorods</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cao, Huitong</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wei, Xueyong</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Jiuhong</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wu, Xinyu</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Hairong</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Rey, F. ELSEVIER</subfield><subfield code="t">Soil and water bioengineering: Practice and research needs for reconciling natural hazard control and ecological restoration</subfield><subfield code="d">2018</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV000899798</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:48</subfield><subfield code="g">year:2022</subfield><subfield code="g">number:7</subfield><subfield code="g">day:1</subfield><subfield code="g">month:04</subfield><subfield code="g">pages:9229-9238</subfield><subfield code="g">extent:10</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.ceramint.2021.12.109</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">43.12</subfield><subfield code="j">Umweltchemie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">43.13</subfield><subfield code="j">Umwelttoxikologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.13</subfield><subfield code="j">Medizinische Ökologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">48</subfield><subfield code="j">2022</subfield><subfield code="e">7</subfield><subfield code="b">1</subfield><subfield code="c">0401</subfield><subfield code="h">9229-9238</subfield><subfield code="g">10</subfield></datafield></record></collection>
|
| author |
Tian, Xin |
| spellingShingle |
Tian, Xin ddc 333.7 bkl 43.12 bkl 43.13 bkl 44.13 Elsevier Nanosheets Elsevier Ethanol Elsevier AVO Elsevier Gas sensing Elsevier SnO2 nanoflowers Elsevier Nanorods Controllable acid vapor oxidation growth of complex SnO2 nanostructures for ultrasensitive ethanol sensing |
| authorStr |
Tian, Xin |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV000899798 |
| format |
electronic Article |
| dewey-ones |
333 - Economics of land & energy 610 - Medicine & health |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
elsevier |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
333.7 610 VZ 43.12 bkl 43.13 bkl 44.13 bkl Controllable acid vapor oxidation growth of complex SnO2 nanostructures for ultrasensitive ethanol sensing Nanosheets Elsevier Ethanol Elsevier AVO Elsevier Gas sensing Elsevier SnO2 nanoflowers Elsevier Nanorods Elsevier |
| topic |
ddc 333.7 bkl 43.12 bkl 43.13 bkl 44.13 Elsevier Nanosheets Elsevier Ethanol Elsevier AVO Elsevier Gas sensing Elsevier SnO2 nanoflowers Elsevier Nanorods |
| topic_unstemmed |
ddc 333.7 bkl 43.12 bkl 43.13 bkl 44.13 Elsevier Nanosheets Elsevier Ethanol Elsevier AVO Elsevier Gas sensing Elsevier SnO2 nanoflowers Elsevier Nanorods |
| topic_browse |
ddc 333.7 bkl 43.12 bkl 43.13 bkl 44.13 Elsevier Nanosheets Elsevier Ethanol Elsevier AVO Elsevier Gas sensing Elsevier SnO2 nanoflowers Elsevier Nanorods |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
h c hc x w xw j w jw x w xw h w hw |
| hierarchy_parent_title |
Soil and water bioengineering: Practice and research needs for reconciling natural hazard control and ecological restoration |
| hierarchy_parent_id |
ELV000899798 |
| dewey-tens |
330 - Economics 610 - Medicine & health |
| hierarchy_top_title |
Soil and water bioengineering: Practice and research needs for reconciling natural hazard control and ecological restoration |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)ELV000899798 |
| title |
Controllable acid vapor oxidation growth of complex SnO2 nanostructures for ultrasensitive ethanol sensing |
| ctrlnum |
(DE-627)ELV056930410 (ELSEVIER)S0272-8842(21)03890-6 |
| title_full |
Controllable acid vapor oxidation growth of complex SnO2 nanostructures for ultrasensitive ethanol sensing |
| author_sort |
Tian, Xin |
| journal |
Soil and water bioengineering: Practice and research needs for reconciling natural hazard control and ecological restoration |
| journalStr |
Soil and water bioengineering: Practice and research needs for reconciling natural hazard control and ecological restoration |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
300 - Social sciences 600 - Technology |
| recordtype |
marc |
| publishDateSort |
2022 |
| contenttype_str_mv |
zzz |
| container_start_page |
9229 |
| author_browse |
Tian, Xin |
| container_volume |
48 |
| physical |
10 |
| class |
333.7 610 VZ 43.12 bkl 43.13 bkl 44.13 bkl |
| format_se |
Elektronische Aufsätze |
| author-letter |
Tian, Xin |
| doi_str_mv |
10.1016/j.ceramint.2021.12.109 |
| dewey-full |
333.7 610 |
| title_sort |
controllable acid vapor oxidation growth of complex sno2 nanostructures for ultrasensitive ethanol sensing |
| title_auth |
Controllable acid vapor oxidation growth of complex SnO2 nanostructures for ultrasensitive ethanol sensing |
| abstract |
Controllable assembly from one-dimensional (1-D) and two-dimensional (2-D) nanoscale structures to three-dimensional (3-D) complex nanostructures has attracted great interest. For the first time, nanorods and nanosheets were controllably assembled into 3-D SnO2 nanoflower architectures based on a facile and shape-controlled acid vapor oxidation (AVO) method from the substrate in a simple reaction system. The as-prepared 3-D SnO2 nanoflowers have diameters ranging from 625 to 875 nm and are self-assembled by many nanorods and nanosheets with diameters and thicknesses of 33 nm. The growth of SnO2 with different morphologies was studied by controlling the reaction temperature and hydrochloric acid concentration. Their application in gas sensing was evaluated, indicating that the 3-D SnO2 nanoflower-based sensor is ultrasensitive to ethanol with a response of 2.54–50 ppb at the optimal working temperature of 230 °C. This work offers a facile, shape-controlled, and efficient route to synthesize complex SnO2 nanoflowers for gas detection with high performance, including ultrahigh sensitivity, good selectivity, and reversibility. |
| abstractGer |
Controllable assembly from one-dimensional (1-D) and two-dimensional (2-D) nanoscale structures to three-dimensional (3-D) complex nanostructures has attracted great interest. For the first time, nanorods and nanosheets were controllably assembled into 3-D SnO2 nanoflower architectures based on a facile and shape-controlled acid vapor oxidation (AVO) method from the substrate in a simple reaction system. The as-prepared 3-D SnO2 nanoflowers have diameters ranging from 625 to 875 nm and are self-assembled by many nanorods and nanosheets with diameters and thicknesses of 33 nm. The growth of SnO2 with different morphologies was studied by controlling the reaction temperature and hydrochloric acid concentration. Their application in gas sensing was evaluated, indicating that the 3-D SnO2 nanoflower-based sensor is ultrasensitive to ethanol with a response of 2.54–50 ppb at the optimal working temperature of 230 °C. This work offers a facile, shape-controlled, and efficient route to synthesize complex SnO2 nanoflowers for gas detection with high performance, including ultrahigh sensitivity, good selectivity, and reversibility. |
| abstract_unstemmed |
Controllable assembly from one-dimensional (1-D) and two-dimensional (2-D) nanoscale structures to three-dimensional (3-D) complex nanostructures has attracted great interest. For the first time, nanorods and nanosheets were controllably assembled into 3-D SnO2 nanoflower architectures based on a facile and shape-controlled acid vapor oxidation (AVO) method from the substrate in a simple reaction system. The as-prepared 3-D SnO2 nanoflowers have diameters ranging from 625 to 875 nm and are self-assembled by many nanorods and nanosheets with diameters and thicknesses of 33 nm. The growth of SnO2 with different morphologies was studied by controlling the reaction temperature and hydrochloric acid concentration. Their application in gas sensing was evaluated, indicating that the 3-D SnO2 nanoflower-based sensor is ultrasensitive to ethanol with a response of 2.54–50 ppb at the optimal working temperature of 230 °C. This work offers a facile, shape-controlled, and efficient route to synthesize complex SnO2 nanoflowers for gas detection with high performance, including ultrahigh sensitivity, good selectivity, and reversibility. |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO |
| container_issue |
7 |
| title_short |
Controllable acid vapor oxidation growth of complex SnO2 nanostructures for ultrasensitive ethanol sensing |
| url |
https://doi.org/10.1016/j.ceramint.2021.12.109 |
| remote_bool |
true |
| author2 |
Cao, Huitong Wei, Xueyong Wang, Jiuhong Wu, Xinyu Wang, Hairong |
| author2Str |
Cao, Huitong Wei, Xueyong Wang, Jiuhong Wu, Xinyu Wang, Hairong |
| ppnlink |
ELV000899798 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth oth oth oth |
| doi_str |
10.1016/j.ceramint.2021.12.109 |
| up_date |
2024-07-06T21:48:02.722Z |
| _version_ |
1803867896124801024 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV056930410</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626044212.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220808s2022 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.ceramint.2021.12.109</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001721.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV056930410</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0272-8842(21)03890-6</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">333.7</subfield><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">43.12</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">43.13</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.13</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Tian, Xin</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Controllable acid vapor oxidation growth of complex SnO2 nanostructures for ultrasensitive ethanol sensing</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">10</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Controllable assembly from one-dimensional (1-D) and two-dimensional (2-D) nanoscale structures to three-dimensional (3-D) complex nanostructures has attracted great interest. For the first time, nanorods and nanosheets were controllably assembled into 3-D SnO2 nanoflower architectures based on a facile and shape-controlled acid vapor oxidation (AVO) method from the substrate in a simple reaction system. The as-prepared 3-D SnO2 nanoflowers have diameters ranging from 625 to 875 nm and are self-assembled by many nanorods and nanosheets with diameters and thicknesses of 33 nm. The growth of SnO2 with different morphologies was studied by controlling the reaction temperature and hydrochloric acid concentration. Their application in gas sensing was evaluated, indicating that the 3-D SnO2 nanoflower-based sensor is ultrasensitive to ethanol with a response of 2.54–50 ppb at the optimal working temperature of 230 °C. This work offers a facile, shape-controlled, and efficient route to synthesize complex SnO2 nanoflowers for gas detection with high performance, including ultrahigh sensitivity, good selectivity, and reversibility.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Controllable assembly from one-dimensional (1-D) and two-dimensional (2-D) nanoscale structures to three-dimensional (3-D) complex nanostructures has attracted great interest. For the first time, nanorods and nanosheets were controllably assembled into 3-D SnO2 nanoflower architectures based on a facile and shape-controlled acid vapor oxidation (AVO) method from the substrate in a simple reaction system. The as-prepared 3-D SnO2 nanoflowers have diameters ranging from 625 to 875 nm and are self-assembled by many nanorods and nanosheets with diameters and thicknesses of 33 nm. The growth of SnO2 with different morphologies was studied by controlling the reaction temperature and hydrochloric acid concentration. Their application in gas sensing was evaluated, indicating that the 3-D SnO2 nanoflower-based sensor is ultrasensitive to ethanol with a response of 2.54–50 ppb at the optimal working temperature of 230 °C. This work offers a facile, shape-controlled, and efficient route to synthesize complex SnO2 nanoflowers for gas detection with high performance, including ultrahigh sensitivity, good selectivity, and reversibility.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Nanosheets</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Ethanol</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">AVO</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Gas sensing</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">SnO2 nanoflowers</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Nanorods</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cao, Huitong</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wei, Xueyong</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Jiuhong</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wu, Xinyu</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Hairong</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Rey, F. ELSEVIER</subfield><subfield code="t">Soil and water bioengineering: Practice and research needs for reconciling natural hazard control and ecological restoration</subfield><subfield code="d">2018</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV000899798</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:48</subfield><subfield code="g">year:2022</subfield><subfield code="g">number:7</subfield><subfield code="g">day:1</subfield><subfield code="g">month:04</subfield><subfield code="g">pages:9229-9238</subfield><subfield code="g">extent:10</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.ceramint.2021.12.109</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">43.12</subfield><subfield code="j">Umweltchemie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">43.13</subfield><subfield code="j">Umwelttoxikologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.13</subfield><subfield code="j">Medizinische Ökologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">48</subfield><subfield code="j">2022</subfield><subfield code="e">7</subfield><subfield code="b">1</subfield><subfield code="c">0401</subfield><subfield code="h">9229-9238</subfield><subfield code="g">10</subfield></datafield></record></collection>
|
| score |
7.4004793 |