罐头食品中金属污染物的智能荧光传感:用于量化铝和钴离子†的碳点双响应系统

IF 4.6 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
RSC Advances Pub Date : 2025-03-04 DOI:10.1039/D5RA00448A
Al-Montaser Bellah H. Ali, Mohamed R. Elmasry, Yousef A. Bin Jardan and Mohamed M. El-Wekil
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引用次数: 0

摘要

铝和钴离子浸出到罐头食品中,如罐装番茄酱中的铝和罐装金枪鱼中的钴,引起了对潜在健康风险的担忧,因此对它们的准确检测对食品安全至关重要。在这项研究中,我们开发了一种新型的基于双发射碳点的比例荧光传感器,能够在单次激发后选择性地检测铝(Al3+)和钴(Co2+)离子。该传感器表现出不同的荧光响应:钴离子通过与碳点表面的氮和硫基团相互作用增强403 nm处的发射,而Al3+通过与羧基和羟基等富氧基团结合增强532 nm处的发射。这种差异反应源于这些金属离子对不同官能团的不同亲和力,这一点通过碳点的机理研究和综合表征得到证实,包括TEM、UV-Vis、FTIR和荧光寿命分析。该方法灵敏度高,对Co2+和Al3+的检出限分别为0.012 μM和0.06 μM。用实际食品样品验证了传感器的性能,成功地测定了罐装番茄酱中的Al3+和罐装金枪鱼中的Co2+。该方法选择性高,干扰小,Al3+的回收率为97.50 ~ 100.67%,Co2+的回收率为97.01 ~ 98.02%。这些发现强调了所提出的传感器作为监测罐装食品中Al3+和Co2+的可靠工具的稳健性和实用性,确保食品安全和符合监管标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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 (Al3+) and cobalt (Co2+) 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 Al3+ 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 Co2+ and 0.06 μM for Al3+. The sensor's performance was validated with real food samples, successfully determining Al3+ in canned tomato sauce and Co2+ in canned tuna. The method exhibited high selectivity with minimal interference, achieving recovery rates of 97.50–100.67% for Al3+ and 97.01–98.02% for Co2+. These findings underscore the robustness and practical applicability of the proposed sensor as a reliable tool for monitoring Al3+ and Co2+ in canned foods, ensuring food safety and compliance with regulatory standards.

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来源期刊
RSC Advances
RSC Advances chemical sciences-
CiteScore
7.50
自引率
2.60%
发文量
3116
审稿时长
1.6 months
期刊介绍: An international, peer-reviewed journal covering all of the chemical sciences, including multidisciplinary and emerging areas. RSC Advances is a gold open access journal allowing researchers free access to research articles, and offering an affordable open access publishing option for authors around the world.
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