Issue 3, 2025

ICT-based fluorescent nanoparticles for selective cyanide ion detection and quantification in apple seeds

Abstract

In this report, we successfully engineered a novel probe based on an acceptor–donor–acceptor (A–D–A) architecture featuring dicyanovinyl-substituted thieno[3,2-b]thiophene, termed DCVTT. The designed probe self-assembles into luminous nanoparticles (DCVTT NPs) upon introducing mixed aqueous solutions. These fluorescent nanostructures served as a ratiometric probe for detecting cyanide (CN) ions in aqueous-based environments, owing to the robust Intramolecular Charge Transfer (ICT) characteristics of DCVTT. The A–D–A substituents in DCVTT significantly enhanced ICT behavior by promoting more efficient electron transfer between the donor and acceptor groups. This improved electron transfer process leads to heightened sensitivity in detection applications. In the case of cyanide (CN) sensing, this enhanced ICT behavior manifests as a strong colorimetric response, allowing for a visible color change before and after interaction with cyanide. Speculation regarding the interaction mechanism between DCVTT and CN is proposed based on the findings of various experimental analyses. The detection limit (LOD) for DCVTT in identifying CN is 0.83 nM, significantly lower than the CN concentration thresholds deemed safe by the World Health Organization (WHO) and the United States Environmental Protection Agency (EPA). Time-Dependent Density Functional Theory (TD-DFT) has been utilized to theoretically analyze the optical properties of DCVTT both before and after the introduction of the CN ions. A paper-based test strip was developed to demonstrate its practical application to enable efficient qualitative CN detection by visual inspection. Furthermore, this sensing platform demonstrates highly accurate quantitative detection of CN in apple seeds. No prior reports have utilized fluorescence techniques to estimate apple seeds’ CN levels.

Graphical abstract: ICT-based fluorescent nanoparticles for selective cyanide ion detection and quantification in apple seeds

Supplementary files

Article information

Article type
Paper
Submitted
27 Sep 2024
Accepted
03 Dec 2024
First published
04 Dec 2024

Analyst, 2025,150, 489-497

ICT-based fluorescent nanoparticles for selective cyanide ion detection and quantification in apple seeds

U. R. Gandra, R. Lo, P. B. Managutti, A. M. Butt, P. S. Reddy, A. U. H. Qurashi, S. Mohamed and M. I. H. Mohideen, Analyst, 2025, 150, 489 DOI: 10.1039/D4AN01265H

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