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

Accurate and reliable nitrite (NO<sub>2</sub><sup>-</sup>) 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<sub>2</sub><sup>-</sup> 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<sub>2</sub><sup>-</sup> and <i>o</i>-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<sub>2</sub><sup>-</sup> 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<sub>2</sub><sup>-</sup> 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<sub>2</sub><sup>-</sup> in multiple types of food matrices.

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Journal
Analytical Chemistry
Published
2026-02-02
DOI
https://doi.org/10.1021/acs.analchem.5c07104
Citations
1
Primary Topic
Advanced Nanomaterials in Catalysis
Type
article
Field-Weighted Citation Impact
16.08
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article

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

Jianan Pei, Yuan Zhang, Chuan Dong, Dan Chang et al.
1 citations
Analytical Chemistry
Advanced Nanomaterials in Catalysis
16.08
article

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

Jianan Pei, Yuan Zhang, Chuan Dong, Dan Chang, Jiayi Li, Yuhui Guo, Shaomin Shuang
article en
1 citations

Abstract

Accurate and reliable nitrite (NO<sub>2</sub><sup>-</sup>) 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<sub>2</sub><sup>-</sup> 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<sub>2</sub><sup>-</sup> and <i>o</i>-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<sub>2</sub><sup>-</sup> 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<sub>2</sub><sup>-</sup> 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<sub>2</sub><sup>-</sup> in multiple types of food matrices.

Analytical ChemistryVol. 98(6)
Shanxi University of Traditional Chinese Medicine (CN), Institute of Information Science (SI), Taiyuan University of Science and Technology (CN)
Openalex Percentile: Top 2%
Advanced Nanomaterials in Catalysis
16.08
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