Smart fluorometric sensing of metal contaminants in canned foods: a carbon dot-based dual-response system for quantifying aluminum and cobalt ions

罐头食品中金属污染物的智能荧光传感:基于碳点的双响应系统用于定量分析铝和钴离子

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Abstract

The leaching of aluminum and cobalt ions into canned foods, such as aluminum from canned tomato sauce and cobalt from canned tuna, raises concerns about potential health risks, making their accurate detection essential for food safety. In this study, we developed a novel ratiometric fluorometric sensor based on dual-emission carbon dots capable of selectively detecting aluminum (Al(3+)) and cobalt (Co(2+)) ions after a single excitation. The sensor exhibits distinct fluorescence responses: cobalt ions enhance the emission at 403 nm due to interactions with nitrogen and sulfur groups on the carbon dot surface, while Al(3+) enhance the emission at 532 nm through binding with oxygen-rich groups such as carboxyl and hydroxyl. This differential response stems from the varying affinities of these metal ions for different functional groups, as confirmed through mechanistic studies and comprehensive characterization of the carbon dots, including TEM, UV-Vis, FTIR, and fluorescence lifetime analyses. The method demonstrates excellent sensitivity, with limits of detection (LOD) of 0.012 μM for Co(2+) and 0.06 μM for Al(3+). The sensor's performance was validated with real food samples, successfully determining Al(3+) in canned tomato sauce and Co(2+) in canned tuna. The method exhibited high selectivity with minimal interference, achieving recovery rates of 97.50-100.67% for Al(3+) and 97.01-98.02% for Co(2+). These findings underscore the robustness and practical applicability of the proposed sensor as a reliable tool for monitoring Al(3+) and Co(2+) in canned foods, ensuring food safety and compliance with regulatory standards.

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