Abstract
Introduction: Herein we report the green synthesis and characterization of silver-reduced graphene oxide nanocomposites (Ag-rGO) using Acacia nilotica gum for the first time. Experimental: We demonstrate the Hg 2+ ions sensing ability of the Ag-rGO nanocomposites form aqueous medium. The developed colorimetric sensor method is simple, fast and selective for the detection of Hg 2+ ions in aqueous media in presence of other associated ions. A significant color change was noticed with naked eye upon Hg 2+ addition. The color change was not observed for cations including Sr 2+ , Ni 2+ , Cd 2+ , Pb 2+ , Mg 2+ , Ca 2+ , Fe 2+ , Ba 2+ and Mn 2+ indicating that only Hg 2+ shows a strong interaction with Ag-rGO nanocomposites. Under the most suitable condition, the calibration plot (A 0 -A) against concentration of Hg 2+ was linear in the range of 0.1-1.0 ppm with a correlation coefficient (R 2 ) value 0.9998. Results & Conclusion: The concentration of Hg 2+ was quantitatively determined with the Limit of Detection (LOD) of 0.85 ppm. Also, this method shows excellent selectivity towards Hg 2+ over nine other cations tested. Moreover, the method offers a new cost effective, rapid and simple approach for the detection of Hg 2+ in water samples.
Original language | English |
---|---|
Pages (from-to) | 101-108 |
Number of pages | 8 |
Journal | Nanoscience and Nanotechnology - Asia |
Volume | 9 |
Issue number | 1 |
DOIs | |
State | Published - 2019 |
Externally published | Yes |
Funding
Authors are thankful to SAIF, Shilong (India) for providing the TEM micrographs and DST, New Delhi for sanctioning the grant under DST-FIST program (No. SR/FST/ col-lege-151/2013 (C)) to Jaysingpur College, Jaysingpur. Author (SRS) is thankful to UGC, New-Delhi for the grants under Major Research project [File No: 43-219/2014 (SR) Dt. 18.08.2015]. XYY thanks for the MS3 Initiative at the Pacific Northwest National Laboratory (PNNL) for support.
Keywords
- Acacia nilotica gum
- Ag-rGO Nanocomposites
- Green synthesis
- Hg sensing
- Limit of Detection (LOD)