Fluorescence Sensing Approach for High Specific Detection of 2,4,6-Trinitrophenol Using Bright Cyan Blue Color-Emittive Poly(vinylpyrrolidone)-Supported Copper Nanoclusters as a Fluorophore

38Citations
Citations of this article
22Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In this paper, we illustrate an efficient, convenient, and simplistic fluorescence technique for the specific identification for nitro explosive 2,4,6-trinitrophenol (TNP) in 100% water medium by bright cyan blue color-emitting poly(vinylpyrrolidone)-supported copper nanoclusters (PVP-CuNCs) as a fluorescence probe. PVP-CuNCs exhibited linear fluorescence quenching response toward the increasing concentration of TNP analyte. Surprisingly, TNP only reduces the emission signal of PVP-CuNCs, whereas various nitro explosives cause very slight reducing emission intensity, validating the good specificity of the PVP-CuNC probe toward TNP. The highest Stern-Volmer quenching constant (Ksv) value of 1.03 × 107 dm3 mol-1 and the extremely lowest limit of detection of 81.44 × 10-12 mol dm-3 were achieved solely for TNP in 100% water medium which is astonishing and exclusive for this nanoprobe. The sensing pathway for the high sensitivity of PVP-CuNCs assay to quantify the TNP is expected to combine with the inner filter effect process and static quenching. The static quenching mechanism between TNP and PVP-CuNCs is further verified by fluorescence decay measurements. Furthermore, the developed fluorescence sensing platform is applied for the quantification of a trace amount of TNP in real samples named dam water, sea water, and match stick.

Cite

CITATION STYLE

APA

Rajamanikandan, R., & Ilanchelian, M. (2018). Fluorescence Sensing Approach for High Specific Detection of 2,4,6-Trinitrophenol Using Bright Cyan Blue Color-Emittive Poly(vinylpyrrolidone)-Supported Copper Nanoclusters as a Fluorophore. ACS Omega, 3(12), 18251–18257. https://doi.org/10.1021/acsomega.8b03065

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free