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CVD growth of self-assembled 2D and 1D WS2 nanomaterials for the ultrasensitive detection of NO2 - imarina:8505103

Autor/s de la URV:Alagh, Aanchal / Annanouch, Fatima Ezahra / Llobet Valero, Eduard
Autor segons l'article:Alagh, Aanchal; Annanouch, Fatima Ezahra; Umek, Polona; Bittencourt, Carla; Sierra-Castillo, Ayrton; Haye, Emile; Colomer, Jean Francois; Llobet, Eduard
Adreça de correu electrònic de l'autor:fatimaezahra.annanouch@urv.cat
aanchal.alagh@estudiants.urv.cat
aanchal.alagh@estudiants.urv.cat
eduard.llobet@urv.cat
Identificador de l'autor:0000-0003-1533-6482
0000-0003-2466-8219
0000-0003-2466-8219
0000-0001-6164-4342
Any de publicació de la revista:2021
Tipus de publicació:Journal Publications
ISSN:09254005
Referència de l'ítem segons les normes APA:Alagh, Aanchal; Annanouch, Fatima Ezahra; Umek, Polona; Bittencourt, Carla; Sierra-Castillo, Ayrton; Haye, Emile; Colomer, Jean Francois; Llobet, Edua (2021). CVD growth of self-assembled 2D and 1D WS2 nanomaterials for the ultrasensitive detection of NO2. Sensors And Actuators B-Chemical, 326(128813), 128813-. DOI: 10.1016/j.snb.2020.128813
Referència a l'article segons font original:Sensors And Actuators B-Chemical. 326 (128813): 128813-
Resum:© 2020 Elsevier B.V. Herein, we report for the first time on the facile synthesis of 2D layered WS2 nanosheets assembled on 1D WS2 nanostructures by combining the aerosol assisted chemical vapor deposition (AA-CVD) method with H2-free atmospheric pressure CVD, for an ultrasensitive detection of NO2. This synthesis strategy allows us a direct integration of the sensing material onto the sensor transducer with high growth yield and uniform coverage. Two different WS2 morphologies (nanotriangles and nanoflakes) were prepared and investigated. The results show that the assembly of layered WS2 nanosheets on a 3D architecture leads to an improvement in sensing performance by maintaining a high surface area in an accessible porous network. The sensors fabricated show stable, reproducible and remarkable responses towards NO2 at ppb concentration levels. The highest sensitivity was recorded for WS2 NT sensors, with an unprecedented ultra-low detection limit under 5 ppb. Additionally, this material has demonstrated its ability to detect 800 ppb of NO2 even when operated at room temperature (25 °C). Regarding humidity cross-sensitivity, our WS2 sensors remain stable and functional for detecting NO2 at ppb levels (i.e., a moderate response decrease is observed) when ambient humidity is raised to 50%. An 8-month long-term stability study has been conducted, which indicates that WS2-NT sensors show a very stable response to NO2 over time.
DOI de l'article:10.1016/j.snb.2020.128813
Enllaç font original:https://www.sciencedirect.com/science/article/abs/pii/S0925400520311606
Versió de l'article dipositat:info:eu-repo/semantics/acceptedVersion
Accès a la llicència d'ús:https://creativecommons.org/licenses/by/3.0/es/
Departament:Enginyeria Electrònica, Elèctrica i Automàtica
URL Document de llicència:https://repositori.urv.cat/ca/proteccio-de-dades/
Àrees temàtiques:Surfaces, coatings and films
Spectroscopy
Química
Odontología
Nutrição
Metals and alloys
Medicina ii
Medicina i
Materials chemistry
Materiais
Interdisciplinar
Instruments & instrumentation
Instrumentation
Farmacia
Engenharias iv
Engenharias iii
Engenharias ii
Engenharias i
Electronic, optical and magnetic materials
Electrochemistry
Electrical and electronic engineering
Educação física
Educação
Economia
Condensed matter physics
Ciências biológicas iii
Ciências biológicas ii
Ciências biológicas i
Ciências ambientais
Ciências agrárias i
Ciência de alimentos
Ciência da computação
Chemistry, analytical
Biotecnología
Biodiversidade
Astronomia / física
Analytical chemistry
Paraules clau:Ws2
Ws 2
Tmds
Temperature
Sensors
Performance
Monolayer ws2
Humidity
Gas sensor
Gas
Fabrication
Cvd
Aerosol-assisted cvd
Aacvd
2-dimensional sns2
Programa de finançament:H2020- MSCA-RISE-2018
Acció del programa de finançament:SMART SENSING FOR RAPID RESPONSE TO CHEMICAL THREATS ON SOFT TARGETS
Acrònim:SENSOFT
Codi de projecte:Project Nr. 823895
Entitat:Universitat Rovira i Virgili
Data d'alta del registre:2024-07-27
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