数字农科院2.0

Efficient visual detection of sodium nitrite based on redox-responsive photonic crystal sensors

文献类型： 外文期刊

作者： Juan Wei;Jingjing Xu;Chuyi Wang;Ya Fei Yang;Yue Zhang;Runyan Ni;Yong Quan Xu;Dejian Huang;Lu Li

作者机构：

关键词： Enzyme inhibition;Photonic crystals;Sodium nitrite detection;Structural color

期刊名称： Chemical Engineering Journal

ISSN： 1385-8947

年卷期： 2025 年 515 卷

页码：

收录情况： SCIE（2025版） ; ; EI（2025版）

摘要： Accurate and timely detection of sodium nitrite is critical for ensuring food safety. Current detection methods predominantly rely on large-scale analytical instruments and lack portable systems for rapid, real-time visual analysis in field settings. This study presents a ferrocene-based polymeric photonic crystal sensor for semi-quantitative visual detection of sodium nitrite in food. The sensing mechanism involves a cascade process: sodium nitrite inhibits catalase activity, preventing decomposition of hydrogen peroxide. This alteration affects the redox process of the sensor, resulting in a change in the blue shift of reflection. Distinct structural color transitions (orange-red to green) correlate with different sodium nitrite concentrations, enabling semi-quantitative visual detection at concentrations as low as 5 × 10−5 g/L (0.72 μM). The method is facile, insensitive to pH variations, rapid in response, and exhibits high sensitivity, stability, broad adaptability, and robust anti-interference capability. The preliminary application of the sensing system in real samples displays promising prospects. This research contributes to the advancement of practical applications in the field of food safety.

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