4.7 Article

A Simple and Highly Selective Colorimetric Sensing of Hg2+ Ions Based on Anti-Aggregation of Gold Nanoparticles

Journal

IEEE SENSORS JOURNAL
Volume 22, Issue 23, Pages 22549-22556

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSEN.2022.3213686

Keywords

Detection; estimation; interference; sensor; surface plasmon resonance (SPR)

Funding

  1. Department of Science and Technology [SP/YO/126/2017]

Ask authors/readers for more resources

A highly sensitive and selective colorimetric sensor assay for detecting Hg2+ ions is presented in this study. This approach utilizes an anti-aggregation sensing method with AuNPs and an amine-based sensor (S) to achieve color variation from red to blue, indicating the presence of Hg2+ ions.
In this work, a highly sensitive and selective colorimetric sensor assay for the detection of Hg2+ ions is presented utilizing an anti-aggregation sensing approach with AuNPs and an amine-based sensor (S). The addition of sensor (S) to gold nanoparticles (AuNPs) leads to their aggregation and, thus, color variation from red to blue. Whereas, in the presence of Hg2+ ions, i.e., target analyte, sensor (S) preferably binds with Hg2+ ions over AuNPs, thus inhibiting their aggregation and subsequent color change. This approach is optimized in terms of various analytical parameters, such as incubation time, pH effect, and S titration, to obtain high sensitivity and selectivity. The UV-Visible studies validate the performance of developed approach for Hg2+ ions detection, and the limit of detection was calculated to be 17 nM, which is lesser than its permissible limit (30 nM) in drinking water. The interference studies also confirm the develop approach selectivity for Hg2+ ions even in the presence of coexisting ions in aqueous media. The experimental results were further correlated with the computational density functional theory (DFT) studies. The presented method is not only cost-effective but also eliminates tedious synthetic schemes and need of laborious manpower.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available