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Title: 3D MoS2 Aerogel for Ultrasensitive NO2 Detection and Its Tunable Sensing Behavior

Abstract

A high-performance NO2 sensor based on the 3D MoS2 aerogel is introduced. Compared to single- or few-layer MoS2, 3D assemblies of 2D MoS2 provide more surface area per footprint with a simple and scalable synthesis. Integration of the 3D MoS2 aerogel on a low-power microheater platform is demonstrated, and the sensing behavior of the 3D MoS2 aerogel is investigated. A two-step sulfurization treatment is developed to obtain a high-quality MoS2 aerogel with strong sensing performance. The aerogel exhibits low detection limit (50 ppb) toward NO2 at room temperature, while after the two-step sulfurization treatment, it also exhibits fast response and recovery at low heater temperature of 200 °C, with no decrease in sensitivity. The observed p-type sensing behavior of MoS2 aerogel is discussed and identified as being controlled by the defect state (as probed by the S:Mo ratio). Furthermore, annealing in a hydrogen environment changes the defect state of the MoS2 aerogel by creating more sulfur vacancies; concomitantly, a transition from p-type sensing behavior to n-type sensing is observed

Authors:
ORCiD logo [1];  [2];  [2];  [2];  [3];  [3];  [4];  [2];  [5];  [2]
  1. Univ. of California, Berkeley, CA (United States); Huazhong Univ. of Science and Technology, Wuhan (China)
  2. Univ. of California, Berkeley, CA (United States)
  3. Huazhong Univ. of Science and Technology, Wuhan (China)
  4. Univ. of California, Berkeley, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  5. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Publication Date:
Research Org.:
Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA); US Air Force Office of Scientific Research (AFOSR); National Science Foundation (NSF)
OSTI Identifier:
1548333
Alternate Identifier(s):
OSTI ID: 1376745
Report Number(s):
LLNL-JRNL-769872
Journal ID: ISSN 2196-7350; 960996
Grant/Contract Number:  
AC52-07NA27344; AC02‐05CH11231; FA9550‐14‐1‐0323; AC02-05CH11231; KC2207
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Advanced Materials Interfaces
Additional Journal Information:
Journal Volume: 4; Journal Issue: 16; Journal ID: ISSN 2196-7350
Publisher:
Wiley-VCH
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; 77 NANOSCIENCE AND NANOTECHNOLOGY; low power; microheaters; MoS2 aerogel; NO2 detection; p‐type sensing behavior

Citation Formats

Long, Hu, Chan, Leslie, Harley-Trochimczyk, Anna, Luna, Lunet E., Tang, Zirong, Shi, Tielin, Zettl, Alex, Carraro, Carlo, Worsley, Marcus A., and Maboudian, Roya. 3D MoS2 Aerogel for Ultrasensitive NO2 Detection and Its Tunable Sensing Behavior. United States: N. p., 2017. Web. doi:10.1002/admi.201700217.
Long, Hu, Chan, Leslie, Harley-Trochimczyk, Anna, Luna, Lunet E., Tang, Zirong, Shi, Tielin, Zettl, Alex, Carraro, Carlo, Worsley, Marcus A., & Maboudian, Roya. 3D MoS2 Aerogel for Ultrasensitive NO2 Detection and Its Tunable Sensing Behavior. United States. https://doi.org/10.1002/admi.201700217
Long, Hu, Chan, Leslie, Harley-Trochimczyk, Anna, Luna, Lunet E., Tang, Zirong, Shi, Tielin, Zettl, Alex, Carraro, Carlo, Worsley, Marcus A., and Maboudian, Roya. 2017. "3D MoS2 Aerogel for Ultrasensitive NO2 Detection and Its Tunable Sensing Behavior". United States. https://doi.org/10.1002/admi.201700217. https://www.osti.gov/servlets/purl/1548333.
@article{osti_1548333,
title = {3D MoS2 Aerogel for Ultrasensitive NO2 Detection and Its Tunable Sensing Behavior},
author = {Long, Hu and Chan, Leslie and Harley-Trochimczyk, Anna and Luna, Lunet E. and Tang, Zirong and Shi, Tielin and Zettl, Alex and Carraro, Carlo and Worsley, Marcus A. and Maboudian, Roya},
abstractNote = {A high-performance NO2 sensor based on the 3D MoS2 aerogel is introduced. Compared to single- or few-layer MoS2, 3D assemblies of 2D MoS2 provide more surface area per footprint with a simple and scalable synthesis. Integration of the 3D MoS2 aerogel on a low-power microheater platform is demonstrated, and the sensing behavior of the 3D MoS2 aerogel is investigated. A two-step sulfurization treatment is developed to obtain a high-quality MoS2 aerogel with strong sensing performance. The aerogel exhibits low detection limit (50 ppb) toward NO2 at room temperature, while after the two-step sulfurization treatment, it also exhibits fast response and recovery at low heater temperature of 200 °C, with no decrease in sensitivity. The observed p-type sensing behavior of MoS2 aerogel is discussed and identified as being controlled by the defect state (as probed by the S:Mo ratio). Furthermore, annealing in a hydrogen environment changes the defect state of the MoS2 aerogel by creating more sulfur vacancies; concomitantly, a transition from p-type sensing behavior to n-type sensing is observed},
doi = {10.1002/admi.201700217},
url = {https://www.osti.gov/biblio/1548333}, journal = {Advanced Materials Interfaces},
issn = {2196-7350},
number = 16,
volume = 4,
place = {United States},
year = {Mon Jul 10 00:00:00 EDT 2017},
month = {Mon Jul 10 00:00:00 EDT 2017}
}

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Works referencing / citing this record:

MoS 2 -Carbon Nanotube Hybrid Material Growth and Gas Sensing
journal, September 2017


High‐Performance NO 2 Sensors Based on Ultrathin Heterogeneous Interface Layers
journal, November 2019


Gold Decoration and Photoresistive Response to Nitrogen Dioxide of WS 2 Nanotubes
journal, November 2018


Versatile Aerogels for Sensors
journal, September 2019


Synthesis of amorphous MoSx and MoSx/carbon nanotubes composite aerogels as effective hydrogen evolution reaction catalysts
journal, September 2018


On-chip assembly of 3D graphene-based aerogels for chemiresistive gas sensing
journal, January 2020


Novel gas sensing platform based on a stretchable laser-induced graphene pattern with self-heating capabilities
journal, January 2020


Two-Step Exfoliation of WS2 for NO2, H2 and Humidity Sensing Applications
journal, September 2019