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Green synthesis of fluorescent carbon dots from watermelon peel waste for sensing applications

  • Ganesh Botla ORCID logo EMAIL logo , Praveen BVS ORCID logo EMAIL logo and Mallaiah Mekala ORCID logo EMAIL logo
Published/Copyright: September 3, 2025
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Abstract

Carbon dots (CDs) are versatile nanomaterials valued for their fluorescence, biocompatibility, and potential in bioimaging and drug delivery. Current synthesis methods, such as hydrothermal or microwave techniques, often require specialized equipment and energy-intensive processes, limiting their accessibility. This study presents an efficient, sustainable approach to synthesizing CDs from watermelon peel, an abundant waste biomass, using a round-bottom flask. Watermelon peel was sun-dried, crushed, and boiled with distilled water (1:10 w/v) for 5 h, followed by centrifugation. The resulting CDs exhibited blue fluorescence under a fluorometer, indicative of small particle sizes (<10 nm), and a UV-vis absorption peak at 250 nm, consistent with π-π* transitions of conjugated C=C and C=O bonds. This method leverages simple equipment and a renewable precursor, offering a cost-effective, eco-friendly alternative to conventional techniques. The CDs’ optical properties suggest suitability for biomedical applications, though further optimization (e.g., quantum yield, size distribution) is needed. This work highlights the potential of waste-derived CDs, contributing to sustainable nanotechnology development.


Corresponding authors: Ganesh Botla, Praveen BVS , Mallaiah Mekala, Department of Chemical Engineering, Chaitanya Bharathi Institute of Technology (CBIT), Gandipet, Hyderabad, 500075, India, E-mail: (B. Ganesh), (BVS Praveen), (M. Mekala)

Acknowledgments

The authors thank Chaitanya Bharathi Institute of Technology (CBIT), Hyderabad, for in-house project financial assistance through the CBIT/PROJ-IH/I023/Chemical/D001/2024 grant.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: All authors have accepted responsibility for the entire content of the manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: In-house project financial assistance through the CBIT/PROJ-IH/I023/Chemical/D001/2024 grant.

  7. Data availability: Not applicable.

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Received: 2025-04-03
Accepted: 2025-07-30
Published Online: 2025-09-03

© 2025 Walter de Gruyter GmbH, Berlin/Boston

Downloaded on 12.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/cppm-2025-0071/html
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