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Oxidase-mimic Fe-co-Ce oxide embellished chitosan fiber for quantitative degradation of luminol and visual detection of m-aminophenol

Journal 2025 · IF 6 · 发表于 2025 年 7 月 8 日
作者: Lei Hu,Junkai Hao,Ruhui Shang,Huitian Zhi,Xujie Wang,Yingchao Yang,Hanning Song,Chenxi Li,Juan Yu,Zhengquan Yan
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摘要

Background Environmental safety and protection is accordingly one of the hottest issues to be concerned nowadays. Among all the chemicals to be monitored urgently, aminophenol and luminol are both quite hazardous but widely utilized in the fields of chemical industry, medicine, scientific research, chemical sensing, and so on. Although some reported ways could detect them satisfactorily, few reports could be found for portable visual monitoring and degradation of aminophenol and luminol, using only one sensor to judge the degradation degree as well. Results Fe-doped-Ce oxide modified chitosan fiber (Fe–Ce ox@CF) was developed by microwave-assisted hydrothermal method. By virtue of the excellent physical and chemical performance of carboxylated chitosan and its synergistic effect, Fe–Ce ox@CF possessed prominent oxidase-mimic activity to catalyze over 94 % luminescent luminol into dicarboxylic acid at room temperature. When utilized to accelerate the oxidization of ABTS, K m / V max were 0.0403 mM/2.327 × 10 −8  M s −1 . Especially, ultra-trace m -aminophenol ( m -AP) could exclusively alter the color of Fe–Ce ox@CF-ABTS from green to purple-red with remarkable visibility. Under the optimized conditions, there exhibited an excellent ratiometric colorimetric linear relationship between lg( A 515 / A 730 )/lg( A 515 / A 415 ) and c m -AP , and a fluorescent one between ΔF 427 and c luminol with detection limits (LOD) of 2.0 × 10 −9  M and 5.6 × 10 −9  M respectively. Especially, the red-green-blue (RGB) values got by a common smartphone also possessed good linear relationships with LODs of 1.7 × 10 −8  M and 1.34 × 10 −8  M. Significance This work represents the first oxidase-mimic based sensing system for potable and quantitative degradation of luminol and visual detection of m -aminophenol as well with the help of smartphones. It will also shed promising light on modified natural carbohydrate polymer-based sensors by non-destructive self-assembly and further application in practices.

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