Bifunctional Carbon Dot Nanozymes for Ratiometric Optical, Photothermal, and Smartphone-Assisted Multimodal Detection of Nitrite

化学 双功能 荧光 光热治疗 亚硝酸盐 三乙醇胺 纳米技术 检出限 选择性 组合化学 催化作用 光学传感 酒石酸 热液循环 柠檬酸 碳纤维 光漂白
作者
Jianan Pei,Jiayi Li,Yuhui Guo,Shaomin Shuang,Dan Chang,Yuan Zhang,Chuan Dong
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:98 (6): 4913-4927 被引量:4
标识
DOI:10.1021/acs.analchem.5c07104
摘要

Accurate and reliable nitrite (NO 2 – ) detection is crucial for food safety but remains challenging. Herein, we develop a triple-signal sensing strategy utilizing bifunctional carbon dot (CD) nanozymes for NO 2 – analysis in diverse food matrices. CDs with blue fluorescence and photoresponsive oxidase-mimicking activity are successfully synthesized by a simple one-step hydrothermal treatment with citric acid monohydrate (CA) and triethanolamine (TEA) as precursors. The oxidase-mimicking property enables efficient catalytic oxidation of 3,3′,5,5′-tetramethylbenzidine (TMB) from colorless to blue ox-TMB. Capitalizing on the specific diazotization reaction between NO 2 – and o -phenylenediamine (OPD)/ox-TMB, the engineered sensor delivers ratiometric fluorescence, ratiometric colorimetric, and photothermal triple-signal outputs, displaying high performance in selectivity and anti-interference capability. The linear detection ranges for NO 2 – are 0.5–400 μM in ratiometric fluorescence sensing, 0.5–100 μM in ratiometric colorimetric sensing, and 5–100 μM in photothermal sensing, with corresponding limits of detection of 0.23 μM, 0.19 μM, and 1.43 μM, respectively. Furthermore, by leveraging the distinct color transitions from ratiometric fluorescence and colorimetric responses, a dual-modality sensing platform assisted by smartphones is engineered to achieve convenient, visual, and on-site NO 2 – detection in food samples. Notably, the integrated photothermal detection specifically overcomes the limitations of conventional optical methods for analyzing colored or autofluorescent samples, while the cross-validation capability of the multimodal strategy ensures reliable and stable results. This synergy provides a comprehensive and promising solution for the accurate and robust monitoring of NO 2 – in multiple types of food matrices.
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