Efficient visual detection of sodium nitrite based on redox-responsive photonic crystal sensors
文献类型： 外文期刊
作者： Wei, Juan 1 ; Xu, Jingjing 5 ; Wang, Chuyi 3 ; Yang, Ya-Fei 2 ; Zhang, Yue 2 ; Ni, Runyan 2 ; Xu, Yong-Quan 1 ; Huang, Dejian 2 ; Li, Lu 5 ;
作者机构： 1.Chinese Acad Agr Sci, Tea Res Inst, Natl Key Lab Tea Plant Germplasm Innovat & Resourc, Key Lab Biol Genet & Breeding Special Econ Anim &, Hangzhou 310008, Peoples R China
2.Natl Univ Singapore, Suzhou Res Inst, Suzhou 215123, Jiangsu, Peoples R China
3.Natl Univ Singapore, Fac Sci, Dept Food Sci & technol, Sci Dr 2, Singapore 117542, Singapore
4.Hebei Lan Sheng Biotech Co Ltd, Shijiazhuang 052260, Hebei, Peoples R China
5.Shaanxi Univ Sci & Technol, Key Lab Auxiliary Chem & Technol Chem Ind, Minist Educ, Xian 710021, Peoples R China
关键词： Photonic crystals; Sodium nitrite detection; Enzyme inhibition; Structural color
期刊名称：CHEMICAL ENGINEERING JOURNAL （ 影响因子：13.2； 五年影响因子：13.5 ）
ISSN： 1385-8947
年卷期： 2025 年 515 卷
页码：
收录情况： SCI
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 x 10-5 g/L (0.72 mu M). 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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