Highly Sensitive Hybrid Nanostructures for Dimethyl Methyl Phosphonate Detection

Sanjeeb Lama; Jinuk Kim; Sivalingam Ramesh; Young-Jun Lee; Jihyun Kim; Joo-Hyung Kim

doi:10.3390/mi12060648

Micromachines (May 2021)

Highly Sensitive Hybrid Nanostructures for Dimethyl Methyl Phosphonate Detection

Sanjeeb Lama,
Jinuk Kim,
Sivalingam Ramesh,
Young-Jun Lee,
Jihyun Kim,
Joo-Hyung Kim

Affiliations

Sanjeeb Lama: INHA IST and Laboratory of Intelligent Devices and Thermal Control, Department of Mechanical Engineering, Inha University, Incheon 22212, Korea
Jinuk Kim: INHA IST and Laboratory of Intelligent Devices and Thermal Control, Department of Mechanical Engineering, Inha University, Incheon 22212, Korea
Sivalingam Ramesh: Department of Mechanical, Robotics and Energy Engineering, Dongguk University-Seoul, Seoul 04620, Korea
Young-Jun Lee: INHA IST and Laboratory of Intelligent Devices and Thermal Control, Department of Mechanical Engineering, Inha University, Incheon 22212, Korea
Jihyun Kim: INHA IST and Laboratory of Intelligent Devices and Thermal Control, Department of Mechanical Engineering, Inha University, Incheon 22212, Korea
Joo-Hyung Kim: INHA IST and Laboratory of Intelligent Devices and Thermal Control, Department of Mechanical Engineering, Inha University, Incheon 22212, Korea

DOI: https://doi.org/10.3390/mi12060648
Journal volume & issue: Vol. 12, no. 6
p. 648

Abstract

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Nanostructured materials synthesized by the hydrothermal and thermal reduction process were tested to detect the dimethyl methylphosphonate (DMMP) as a simulant for chemical warfare agents. Manganese oxide nitrogen-doped graphene oxide with polypyrrole (MnO2@NGO/PPy) exhibited the sensitivity of 51 Hz for 25 ppm of DMMP and showed the selectivity of 1.26 Hz/ppm. Nitrogen-doped multi-walled carbon nanotube (N-MWCNT) demonstrated good linearity with a correlation coefficient of 0.997. A comparison between a surface acoustic wave and quartz crystal microbalance sensor exhibited more than 100-times higher sensitivity of SAW sensor than QCM sensor.

Published in Micromachines

ISSN: 2072-666X (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Technology: Mechanical engineering and machinery
Website: https://www.mdpi.com/journal/micromachines

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