Carbon Nanodots-Based Sensors: A Promising Tool for Detecting and Monitoring Toxic Compounds

The increasing prevalence of toxic compounds in food, agriculture, and the environment presents a critical challenge to public health and ecological sustainability. Carbon nanodots (CNDs), with their excellent photoluminescence, biocompatibility, and ease of functionalization, have emerged as highly...

Full description

Saved in:
Bibliographic Details
Main Authors: Duyen H. H. Nguyen, Arjun Muthu, Tamer Elsakhawy, Mohamed H. Sheta, Neama Abdalla, Hassan El-Ramady, József Prokisch
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Nanomaterials
Subjects:
Online Access:https://www.mdpi.com/2079-4991/15/10/725
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The increasing prevalence of toxic compounds in food, agriculture, and the environment presents a critical challenge to public health and ecological sustainability. Carbon nanodots (CNDs), with their excellent photoluminescence, biocompatibility, and ease of functionalization, have emerged as highly promising materials for developing advanced sensors that target hazardous substances. This review provides a comprehensive overview of the synthesis, functionalization, and sensing mechanisms of CND-based sensors, highlighting their versatile application in detecting toxic compounds such as heavy metals, pesticides, mycotoxins, and emerging contaminants. The article outlines recent advancements in fluorescence, electrochemical, and colorimetric detection strategies and presents key case studies that illustrate the successful application of CNDs in real-world monitoring scenarios. Furthermore, it addresses the challenges associated with reproducibility, scalability, selectivity, and sensor stability and explores future directions for integrating CNDs with smart and sustainable technologies. This review emphasizes the transformative potential of CNDs in achieving rapid, cost-effective, and environmentally friendly toxin detection solutions across multiple domains.
ISSN:2079-4991