Synthesis and Characterization of MnO2@Cellulose and Polypyrrole-Decorated MnO2@Cellulose for the Detection of Chemical Warfare Agent Simulantopen access
- Authors
- Lama, Sanjeeb; Subedi, Sumita; Ramesh, Sivalingam; Shin, Kyeongho; Lee, Young-Jun; Kim, Joo-Hyung
- Issue Date
- Oct-2022
- Publisher
- MDPI
- Keywords
- chemical warfare agents (CWAs); quartz crystal microbalance (QCM); surface acoustic wave (SAW); dimethyl methyl phosphonate (DMMP); volatile compounds (VOCs)
- Citation
- Materials, v.15, no.20, pp 1 - 19
- Pages
- 19
- Indexed
- SCIE
SCOPUS
- Journal Title
- Materials
- Volume
- 15
- Number
- 20
- Start Page
- 1
- End Page
- 19
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/2485
- DOI
- 10.3390/ma15207313
- ISSN
- 1996-1944
1996-1944
- Abstract
- Chemical warfare agents (CWAs) have been threatening human civilization and its existence because of their rapid response, toxic, and irreversible nature. The hybrid nanostructured composites were synthesized by the hydrothermal process to detect the dimethyl methyl phosphonate (DMMP), a simulant of G-series nerve agents, especially sarin. Cellulose (CE), manganese oxide cellulose (MnO2@CE), and MnO2@CE/polypyrrole (PPy) exhibited a frequency shift of 0.4, 4.8, and 8.9 Hz, respectively, for a DMMP concentration of 25 ppm in the quartz crystal microbalance (QCM). In surface acoustic wave (SAW) sensor, they exhibited 187 Hz, 276 Hz, and 78 Hz, respectively. A comparison between CE, MnO2@CE, and MnO2@CE/PPy demonstrated that MnO2@CE/PPy possesses excellent linearity with a coefficient of determination (COD or R-2) of 0.992 and 0.9547 in the QCM and SAW sensor. The hybrid composite materials showed a reversible adsorption and desorption phenomenon in the reproducibility test. The response and recovery times indicated that MnO2@CE/PPy showed the shortest response (similar to 23 s) and recovery times (similar to 42 s) in the case of the QCM sensor. Hence, the pristine CE and its nanostructured composites were compared to analyze the sensing performance based on sensitivity, selectivity, linearity, reproducibility, and response and recovery times to detect the simulant of nerve agents.
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Collections - College of Engineering > Department of Energy and Materials Engineering > 1. Journal Articles

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