Rapid Determination of Copper(II) Ions in Drinking Water Using Plant-Derived Fluorescent Carbon Dots

Main Article Content

Aslanli Nazli Rafiq

Abstract

This methodological article proposes a rapid fluorescence -quenching assay for Cu(II) in drinking water using plant-derived carbon dots. Studies from 2023–2026 guide precursor selection, synthesis, signal processing and validation. The workflow integrates hydrothermal preparation, purification, controlled fluorescence measurement, matri x-matched calibration and reference -method confirmation. No original measurements are claimed; analytical performance remains a validation requirement. The design is intended for green analytical -chemistry research and preliminary screening.

Downloads

Download data is not yet available.

Article Details

Data Availability Statement

All data supporting the findings of this study are presented in the text of the scientific work.

Section

Chemistry and Materials science

Author Biography

Aslanli Nazli Rafiq, Baku State University

Student, Faculty of Chemistry

How to Cite

Aslanli, N. (2026). Rapid Determination of Copper(II) Ions in Drinking Water Using Plant-Derived Fluorescent Carbon Dots. Scientific Collection «InterConf», 311, 136–141. https://interconf.openpubarchive.com/index.php/proceeding/article/view/118

References

Toprak, Y. E., et al. (2026). Sensitive detection of copper(II) ions in water using nitrogen -doped carbon quantum dots synthesized from pine cone lignin and lysine. ACS Omega, 11(25), 37790 –37800. https://doi.org/10.1021/acsomega.6c02895

Chen, C.-S., Lin, M.-W., & Wan, C.-F. (2026). Copper ion detection using green precursor -derived carbon dots in aqueous media. Chemosensors, 14(1), 21. https://doi.org/10.3390/chemosensors14010021

Sun, J., et al. (2025). A dual -emissive carbon dot -functionalized paper-based analytical device for copper ion detection in foods. Sensors and Actuators B: Chemical, 443, 138176. https://doi.org/10.1016/j.snb.2025.138176

Venkatesan, G., & Sathiyan, G. (2025). Recent trends in use of plant- derived carbon dot -based fluorescent probes for heavy metal ion detection and their biological applications. Trends in Environmental Analytical Chemistry, 46, e00259. https://doi.org/10.1016/j.teac.2025.e00259

El-Azazy, M., et al. (2024). Mandarin peels -derived carbon dots: A multifaceted fluorescent probe for Cu(II) detection in tap and drinking water samples. Nanomaterials, 14(20), 1666. https://doi.org/10.3390/nano14201666

Su, J., Wu, L., Zhu, Y., Xiong, Z., & Zhao, L. (2024). Nitrogen– silicon co-doped carbon dots synthesized based on lemon peel for copper(II) detection via a dynamic quenching mechanism. Optical Materials, 155, 115800. https://doi.org/10.1016/j.optmat.2024.115800

Ren, H., et al. (2024). Transforming bio -waste lignin into amine functionalized carbon quantum dots for selective detection of trace Cu2+ in aqueous system. International Journal of Biological Macromolecules, 273, 133118. https://doi.org/10.1016/j.ijbiomac.2024.133118

Pan, Y., et al. (2024). Red dual -emissive carbon dots for Cu2+ selective detection and dynamical monitoring. ACS Applied Nano Materials, 7(9), 10731–10738. https://doi.org/10.1021/acsanm.4c01257

Zhang, Y., et al. (2024). Bifunctional magnetic carbon dots for the rapid fluorescent detection and the efficient adsorptive removal of copper ion. Microchemical Journal, 206, 111424. https://doi.org/10.1016/j.microc.2024.111424

Soni, H., et al. (2024). From structure to sensing: Molecular mechanistic insights into plant-derived carbon dots for heavy metal ion detection. Nanomaterials, 14(21), 1766. https://doi.org/10.3390/nano14211766

Zhang, D., et al. (2023). Red-to-blue colorimetric probe based on biomass carbon dots for smartphone-integrated optosensing of Cu(II) and L -cysteine. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 290, 122285. https://doi.org/10.1016/j.saa.2022.122285

Singh, P., et al. (2023). Assessment of biomass -derived carbon dots as highly sensitive and selective templates for the sensing of hazardous ions. Nanoscale, 15(40), 16241 –16267. https://doi.org/10.1039/D3NR01966G