Molecular recognition meets microcontroller: calixarene-based fluorescent sensors for selective detection of 2-nitrobenzaldehyde

Abstract

Fluorescent supramolecular materials have emerged as versatile tools for detecting nitroaromatic compounds (NACs), which are key components of explosives and persistent environmental pollutants. Among these analytes, 2-nitrobenzaldehyde (2-NBZ) warrants particular attention due to its high toxicity, environmental persistence, and industrial relevance. 2-NBZ exhibits ecotoxicity (GHS H412 Harmful to aquatic life with long-lasting effects) and is classified by the US EPA as a priority pollutant because of its persistence and aquatic toxicity. However, selective and sensitive detection of 2-NBZ in complex environmental matrices remains challenging. This study reports a series of 2,6-dihydroxyacetophenone[4]arene based derivatives (DAP-AAQ: S3.1–S3.4). All sensors operate efficiently in aqueous solution at neutral pH and exhibit a selective “turn-on” fluorescence response toward 2-NBZ; among them, S3.1 demonstrated the strongest binding constant (Ka = 2.0 × 105 M−1) and the lowest detection limit (LOD = 0.25 µM), while showing negligible response to other common nitroaromatics. HR-MS titration and density functional theory (DFT) calculations reveal the formation of a 1 : 1 host–guest complex stabilized by hydrogen bonding and dipole–dipole interactions, driving an interamolecular charge-transfer quenching mechanism. Furthermore, the optimized fluorescent sensor was successfully integrated with a microcontroller (Arduino) RGB detection platform. The developed device demonstrated good analytical performance in water samples, with recovery values of 93.5–96.5%, % RSD below 1.5%, while maintaining relative errors below 6% compared to a standard fluorescence spectrometer. Overall, the proposed approach presents a simple, cost-effective, and reliable platform for on-site 2-NBZ detection.

Graphical abstract: Molecular recognition meets microcontroller: calixarene-based fluorescent sensors for selective detection of 2-nitrobenzaldehyde

Supplementary files

Article information

Article type
Paper
Submitted
03 Dec 2025
Accepted
18 Jan 2026
First published
13 Feb 2026

Analyst, 2026, Advance Article

Molecular recognition meets microcontroller: calixarene-based fluorescent sensors for selective detection of 2-nitrobenzaldehyde

R. S. Patel, P. A. Chavda, Z. G. Thakker, D. H. Patel, M. K. Panchal, R. V. Patel and H. M. Parekh, Analyst, 2026, Advance Article , DOI: 10.1039/D5AN01275A

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements