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<p>In this study, cerium-containing organophyllosilicate (CeAC) was constructed via one-step sol–gel method. The synthesized CeAC exhibited exceptional peroxide-like catalytic activity, facilitating the oxidation of colorless 3,3′,5,5′-tetramethylbenzidine (TMB) to the blue-colored TMB<sub>ox</sub> in the presence of hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>). Subsequently, CeAC-TMB-H<sub>2</sub>O<sub>2</sub> colorimetric system was employed for the determination of nitrite (NO<sub>2</sub><sup>−</sup>) in food. A good linear relationship between A652/A445 and the logarithm of NO<sub>2</sub><sup>−</sup>concentration in the range of 10–200&#xa0;μM was achieved, as well as an extremely low limit of detection at 0.365&#xa0;μM. Moreover, the accuracy and precision determined in spiked samples through quantitative visualization is in the range of 92.4–118.4% with a coefficient of variation below 8.25%, representing a significant advantage over other reported systems. Finally, the CeAC catalytic system was applied to determine the nitrite in real food, it showed a similar but more accurate result compared to the commercial kit. Overall, this study presents a high-specificity, accurate, and precise online visual method for the determination of nitrite in food.</p>

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Construction of cerium-containing organophyllosilicate nanozyme for colorimetric determination of nitrite in food

  • 期刊论文

  • 发表日期：

    2025年5月26日

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  • Rui Lv,
  • Fengyan Xi,
  • Ning Chen,
  • Yanlei Wu,
  • Jinfeng Fang,
  • Yan Liu,
  • Qin Zhu,
  • Lin Hu,
  • Jiahui Hu,
  • Zhenyu Chen,
  • Xiaofei Tu

摘要

In this study, cerium-containing organophyllosilicate (CeAC) was constructed via one-step sol–gel method. The synthesized CeAC exhibited exceptional peroxide-like catalytic activity, facilitating the oxidation of colorless 3,3′,5,5′-tetramethylbenzidine (TMB) to the blue-colored TMBox in the presence of hydrogen peroxide (H2O2). Subsequently, CeAC-TMB-H2O2 colorimetric system was employed for the determination of nitrite (NO2−) in food. A good linear relationship between A652/A445 and the logarithm of NO2−concentration in the range of 10–200 μM was achieved, as well as an extremely low limit of detection at 0.365 μM. Moreover, the accuracy and precision determined in spiked samples through quantitative visualization is in the range of 92.4–118.4% with a coefficient of variation below 8.25%, representing a significant advantage over other reported systems. Finally, the CeAC catalytic system was applied to determine the nitrite in real food, it showed a similar but more accurate result compared to the commercial kit. Overall, this study presents a high-specificity, accurate, and precise online visual method for the determination of nitrite in food.