Issue 1, 2019

β-Cyclodextrin protected gold nanoparticle based cotton swabs as an effective candidate for specific sensing of trace levels of cyanide

Abstract

In this paper, a rapid colorimetric and easy visual determination of cyanide ions (CN ions) in water, based on gold nanoparticles (AuNPs) stabilized with β-cyclodextrin (β-CD), is described. Optical detection of CN ions is carried out using β-CD-AuNPs by tracking the changes in the surface plasmon resonance band and colorimetric nature of the β-CD AuNPs. This colorimetric nanosensor easily and with ultra-sensitivity identifies the CN ions because of their capacity to etch the surface of the β-CD AuNPs and form a stable water soluble Au–CN complex. Under experimental conditions, the colorimetric assay demonstrated a steady response for CN ions over a concentration ranges from 4.50 × 10−6 to 99.00 × 10−6 mol dm−3 with R = 0.994. The lowest limit of detection of this inexpensive, visual with the naked eye, approach is 93.00 × 10−9 mol dm−3, which is under the tolerance limit value (1.90 × 10−6 mol dm−3) set by the World Health Organization for drinking water. The specificity of the β-CD-AuNPs based optical platform for the detection of CN ions is superb when evaluated with various potential interfering anions. Furthermore, the proposed β-CD-AuNPs nanoprobe is effectively applied to quantify the CN ions in tap and drinking water samples. For convenient use, a very stable cotton swab containing the β-CD-AuNPs has been designed and it revealed good sensitivity against CN ions in the environment using the naked eye.

Graphical abstract: β-Cyclodextrin protected gold nanoparticle based cotton swabs as an effective candidate for specific sensing of trace levels of cyanide

Supplementary files

Article information

Article type
Paper
Submitted
13 Sep 2018
Accepted
20 Nov 2018
First published
20 Nov 2018

Anal. Methods, 2019,11, 97-104

β-Cyclodextrin protected gold nanoparticle based cotton swabs as an effective candidate for specific sensing of trace levels of cyanide

R. Rajamanikandan and M. Ilanchelian, Anal. Methods, 2019, 11, 97 DOI: 10.1039/C8AY02013B

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