Novel Anthracene-Based Sensor for the Selective Detection of Cyanide Ion Using Relay Recognition, Logic Gate, Real-Sample Analysis and Bioimaging Application

A novel anthracene-based receptor was synthesized via a facile condensation method. The anion-sensing behavior of the receptor was systematically investigated using colorimetric analysis, UV–visible spectroscopy, photoluminescence studies, and binding constant calculations. The synthesized receptor exhibited effective and selective recognition of cyanide (CN−) ions, accompanied by a distinct visual color change from pale yellow to light pink, whereas other tested metal ions produced no appreciable color response. Notably, in the presence of CN− ions, the receptor displayed a pronounced and selective response toward Fe3+ ions, as evidenced by a subsequent color change from light pink to light yellow. Furthermore, the receptor enabled the construction of implication (IMP) and inhibition (INH) logic gates through the selective detection of CN− and Fe3+ ions. The detection limit for CN− ions was determined to be 7.3 × 10−7 M. The practical applicability of the receptor for CN− detection was further demonstrated using sprouted potato samples and optical sensing platforms. In addition, the receptor exhibited excellent sensing performance and was successfully applied for the fluorescence labeling and imaging of CN− ions in living biological cells.

Authors

Institutions

Publication Details

Journal
Chemosensors
Published
2026-08-27
DOI
https://doi.org/10.3390/chemosensors14090194
Primary Topic
Molecular Sensors and Ion Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Novel Anthracene-Based Sensor for the Selective Detection of Cyanide Ion Using Relay Recognition, Logic Gate, Real-Sample Analysis and Bioimaging Application

Ganesan Punithakumari, Govindhasamy Murugadoss, Shaik Ashmath, Tae‐Gwan Lee
Chemosensors
Molecular Sensors and Ion Detection
article

Novel Anthracene-Based Sensor for the Selective Detection of Cyanide Ion Using Relay Recognition, Logic Gate, Real-Sample Analysis and Bioimaging Application

Ganesan Punithakumari, Govindhasamy Murugadoss, Shaik Ashmath, Tae‐Gwan Lee
article en

Abstract

A novel anthracene-based receptor was synthesized via a facile condensation method. The anion-sensing behavior of the receptor was systematically investigated using colorimetric analysis, UV–visible spectroscopy, photoluminescence studies, and binding constant calculations. The synthesized receptor exhibited effective and selective recognition of cyanide (CN−) ions, accompanied by a distinct visual color change from pale yellow to light pink, whereas other tested metal ions produced no appreciable color response. Notably, in the presence of CN− ions, the receptor displayed a pronounced and selective response toward Fe3+ ions, as evidenced by a subsequent color change from light pink to light yellow. Furthermore, the receptor enabled the construction of implication (IMP) and inhibition (INH) logic gates through the selective detection of CN− and Fe3+ ions. The detection limit for CN− ions was determined to be 7.3 × 10−7 M. The practical applicability of the receptor for CN− detection was further demonstrated using sprouted potato samples and optical sensing platforms. In addition, the receptor exhibited excellent sensing performance and was successfully applied for the fluorescence labeling and imaging of CN− ions in living biological cells.

ChemosensorsVol. 14(9)
National Institute of Technology Tiruchirappalli (IN), Sathyabama Institute of Science and Technology (IN), Keimyung University (KR), Karpagam Academy of Higher Education (IN)
Openalex Percentile: Top 19%
Molecular Sensors and Ion Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.