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Articles

Dynamic adsorption of dimethyl methyl Phosphonate and 2-chloroethyl ethyl sulfide on zeolite-MOR and its nanocomposites monitored by gas chromatography flame ionized detector (GC-FID)

ORCID Icon, , ORCID Icon, &
Pages 526-539 | Received 23 Mar 2020, Accepted 12 Oct 2020, Published online: 18 Nov 2020
 

Abstract

Present paper highlights the adsorption performances of mordenite (MOR), polyaniline-mordenite (PANI/MOR), copper oxide-mordenite (CuO/MOR) and silver oxide-mordenite (AgO/MOR) nanocomposites toward decontamination of toxic chemical warfare agent’s (CWA)simulant 2-chloroethyl ethyl sulfide (CEES, blistering agent simulant) and dimethyl methyl phosphonate (DMMP, nerve agent simulant) at normal condition of temperature (30 ± 2 °C) and pressure. Composite of MOR zeolite with polyaniline (PANI) was prepared by oxidative polymerization using ammonium per sulfate as an initiator. The composites of MOR zeolite and metal oxide (CuO/MOR) and (AgO/MOR) were prepared by taking aqueous solution of corresponding metal nitrates using ion exchange technique. Adsorption experiments were monitored by gas chromatography – flame ionize detector (GC-FID) to detect ions concentration. Nanocomposites were characterized by techniques such as XRD, FTIR, FESEM-EDX, TGA, UV-Vis and BET. X-ray diffraction (XRD) pattern shows the crystalline nature of parent zeolite and its nanocomposites. Field emission scanning electron microscopy (FESEM) analysis reveals that mordenite, PANI/MOR and AgO/MOR have polyhedron, agglomerated rough and fibrous elongated surfaces, respectively. From SEM analysis, obtained particle size was in the range of 2 to 14.5 μm. Brunauer–Emmett–Teller (BET) analysis depicts that the surface area of MOR, PANI/MOR, AgO/MOR and CuO/MOR were 93.07, 166.49, 120.31and 93.51 m2/g, respectively. AgO/MOR and PANI/MOR nanocomposites were found good adsorbent candidate. The nanocomposite of AgO/MOR was able to decontaminate ∼ 100% in 6 h. We are also able to remove DMMP by PANI/MOR up to ∼ 100%.

Graphical Abstract

Acknowledgements

The authors are highly thankful to DRDE Gwalior for financial support under project no. DRDE/TC/05414/TASK-223/17 and BET analysis. IIT Kanpur for SEM-EDX. Jiwaji University for other characterization (CIF department) and funding support under grant number F/Dev./2019/611.

Credit authorship contribution statement

All authors actively participate in drafting the manuscript and have given approval to the final version of the manuscript.

Declaration of competing interest

No conflicts of interest to report.

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