AI Summary & Key Takeaways
AI InsightThis smartphone applicable detection platform that uses carbon nanodots as cheap yet sensitive nanoprobes could lead to more advanced lab-on-site systems for water or food sample analysis that can be performed by anyone, anywhere, anytime.
📌 3 Key Takeaways
Abstract
Chitosan passivated carbon nanodots (C-Dots CHIT ) were synthesized from expired molasses via a simple and green thermal synthesis procedure. As-synthesized C-Dots were nitrogen-doped (NC-Dots CHIT ) by posttreatment with liquid ammonia and used as nanoprobes for uorometric detection of mercury ions (Hg(II) aq: ). Fluorescence response of NC-Dots CHIT in the presence of mercury was evaluated and compared with that of the polyethylene glycol passivated C-Dots PEG . This sensing strategy using NC-Dots CHIT displayed a wide linear working range from 1.25 g/mL to 43.54 g/mL with a detection limit of 1.41 g/mL. The uorescence of C-Dots PEG did not show any signi cant change upon mercury addition. Selectivity of as-synthesized NC-Dots CHIT to Hg(II) aq: was assessed by comparing the level ofuorescence quenching in the presence of four other divalent cations (cadmium(II), zinc(II), nickel(II), and copper(II)). Finally, synthesized nanoprobes were embedded into the cross-linked alginate hydrogels and test strips were formed on the FTO-coated glass. Images captured under a UV light source ( exc: 365 nm) were successfully processed by a smartphone application. Color codes generated by the app showed a close resemblance to the data gathered fromuorescence spectroscopy. The proposed detection system was applied satisfactorily to both a certi ed calibration standard and real water samples. The methodology developed within this study could be a potential candidate for detection of mercury concentration in water samples with high recovery rates reaching up to 98%. This smartphone applicable detection platform that uses carbon nanodots as cheap yet sensitive nanoprobes could lead to more advanced lab-on-site systems for water or food sample analysis that can be performed by anyone, anywhere, anytime.