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Smartphone-Integrated Ratiometric Fluorescent Sensing Platform Based on Carbon Dots for One-Step Detection of

Tingting Lei1, Yating Xu1, Siyi Tan2

  • 1College of Chemistry and Chemical Engineering, Central South University, Changsha, China.

Luminescence : the Journal of Biological and Chemical Luminescence
|October 29, 2025
PubMed
Summary

A new ratiometric fluorescent sensor using blue and red carbon dots (CDs) enables rapid, visual, and on-site detection of glyphosate residues. This smartphone-compatible platform offers a sensitive and selective method for environmental and food safety monitoring.

Keywords:
carbon dotdetectionglyphosateone‐stepratiometric fluorescence

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Area of Science:

  • Analytical Chemistry
  • Materials Science
  • Environmental Science

Background:

  • On-site detection of glyphosate residues in food and the environment is a significant challenge.
  • Existing methods often lack speed, visual output, or on-site applicability.

Purpose of the Study:

  • To develop a rapid, visual, and quantitative sensing platform for glyphosate detection.
  • To utilize a ratiometric fluorescent approach for enhanced sensitivity and reliability.

Main Methods:

  • Fabrication of blue fluorescent carbon dots (B-CDs) and red fluorescent carbon dots (R-CDs).
  • Development of a ratiometric sensing platform leveraging B-CDs for glyphosate-induced quenching and R-CDs as an internal reference.
  • Integration with smartphone RGB analysis for on-site visual detection.

Main Results:

  • The sensor achieved rapid detection of glyphosate within 20 seconds.
  • A low detection limit of 2.87 μM was established.
  • The system demonstrated high selectivity for glyphosate in complex matrices, including water samples, with good recovery rates (81.8%-96.6%).
  • Visual color change from blue to red indicated glyphosate presence.

Conclusions:

  • The developed ratiometric fluorescent sensor offers a promising solution for on-site glyphosate monitoring.
  • Its rapid response, smartphone compatibility, and robustness make it suitable for agricultural and environmental applications.
  • This platform addresses the need for efficient and accessible glyphosate residue detection.