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• Green, one-pot synthesis of N-doped CDs from mangosteen peel (agricultural waste). • CDs' fluorescence tuned from blue to greenish-yellow via simple solvent polarity control. • Tuning mechanism revealed: surface functionality and aggregation differences cause PL shift. • CDs act as selective sensors, showing a decrease in fluorescence when exposed to Hg 2+ ions. • Successful detection of Hg 2+ in real wastewater; potential for environmental monitoring. Heavy metal contamination poses serious environmental and health risks, even at trace levels, highlighting the need for efficient and sustainable detection strategies. This study presents a green approach for producing nitrogen-doped carbon dots (CDs) from mangosteen peel extract (MPE)—a widely available agricultural waste—via a one-pot solvothermal method using ethylenediamine as a nitrogen source. By valorizing biomass under mild reaction conditions, this method contributes to the development of sustainable nanomaterials. The effects of solvent polarity (water, ethanol, methanol, and isopropanol) on the structural and optical properties of the resulting CDs were systematically investigated. Solvent-dependent fluorescence behavior was observed, with tunable emissions from blue to greenish-yellow and redshift correlating with decreasing solvent polarity. Comprehensive characterization revealed distinct differences in surface functionalities, aggregation tendencies, and emission profiles, all governed by solvent–precursor interactions. The CDs exhibited selective fluorescence quenching in the presence of Hg 2+ ions, showing a linear detection range of 0–20 μM and detection limits between 2.78 and 3.00 μM. Furthermore, the CDs demonstrated reliable Hg 2+ detection in real wastewater samples, confirming their potential for practical, equipment-free environmental monitoring. These findings underscore the role of solvent environments in modulating the structure-property relationships of biomass-derived carbon nanomaterials, offering design strategies for resource-based sensing platforms and other functional applications.
Mekarun et al. (Thu,) studied this question.
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