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<p>Iron-cerium co-doped carbon dots (Fe,Ce-CDs) were synthesized by one-step hydrothermal method using tartaric acid and L-tryptophan as ligands. Fe,Ce-CDs shows excellent peroxidase-like (POD) activity and nitrite (NO<sub>2</sub><sup>−</sup>) can promote the oxidation of 3,3′,5,5′-tetramethylbenzidine (TMB) to its blue oxidation product&#xa0;(oxTMB) due to the formation of ∙NO<sub>2</sub> free radical. NO<sub>2</sub><sup>−</sup> further react with oxTMB to form a yellow color via diazotization resulting in the absorbance Change at 450&#xa0;nm. By Fe,Ce-CDs + NO<sub>2</sub><sup>−</sup> + TMB + H<sub>2</sub>O<sub>2</sub> and oxTMB + NO<sub>2</sub><sup>−</sup> systems, a dual-signal colorimetric nanosensor for NO<sub>2</sub><sup>−</sup> detection is developed with lower detection limits (LODs) of 0.272&#xa0;μg/L and 0.019&#xa0;mg/L, respectively. The proposed methods were applied to the detection of NO<sub>2</sub><sup>−</sup> in&#xa0;tobacco samples with good recovery from 91.20 to 110.61%, achieving similar results and indicating their high accuracy and feasibility.</p> Graphical Abstract <p></p>

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Dual-signal colorimetric sensor based on Fe,Ce-CDs for ultra-sensitive detection of nitrite in tobacco

  • 期刊论文

  • 发表日期：

    2025年9月10日

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  • Dongling Meng,
  • Zhiyan Chen,
  • Zhibin Chen,
  • Junrao Cen,
  • Jitao Li,
  • Yaling Yang

摘要

Iron-cerium co-doped carbon dots (Fe,Ce-CDs) were synthesized by one-step hydrothermal method using tartaric acid and L-tryptophan as ligands. Fe,Ce-CDs shows excellent peroxidase-like (POD) activity and nitrite (NO2−) can promote the oxidation of 3,3′,5,5′-tetramethylbenzidine (TMB) to its blue oxidation product (oxTMB) due to the formation of ∙NO2 free radical. NO2− further react with oxTMB to form a yellow color via diazotization resulting in the absorbance Change at 450 nm. By Fe,Ce-CDs + NO2− + TMB + H2O2 and oxTMB + NO2− systems, a dual-signal colorimetric nanosensor for NO2− detection is developed with lower detection limits (LODs) of 0.272 μg/L and 0.019 mg/L, respectively. The proposed methods were applied to the detection of NO2− in tobacco samples with good recovery from 91.20 to 110.61%, achieving similar results and indicating their high accuracy and feasibility.

Graphical Abstract