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<p>A cerium ion-modified hemin polymer (Ce-hemin) was synthesized via a facile route, exhibiting photo-responsive oxidase-like activity and excellent stability. The Ce doping effectively prevented hemin aggregation, facilitated electron transfer, enhanced photocatalytic activity, and created a high adsorption capacity for tetracyclines (TCs). Taking advantage of the photo-sensitivity of TCs, a “turn-on” colorimetric sensing platform based on Ce-hemin nanozymes and smartphone-readout was constructed for visual analysis of TCs. This sensor offers a wide detection range and a low limit of detection (0.11&#xa0;μM). The mechanism of the “turn-on” colorimetric performance was systematically discussed, which involves the abundant generation of superoxide radical anion (·O<sub>2</sub><sup>−</sup>) species through photoexcitation of the surface complex between TCs and Ce-hemin. Furthermore, machine learning was employed for the accurate classification and identification of two representative TCs and chloramphenicol. Thus, this work provides an environmentally friendly strategy for the detection of TCs without H<sub>2</sub>O<sub>2</sub>, and also broadens the application of photo-responsive nanozymes in colorimetric sensors.</p> Graphical Abstract <p></p>

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Photo-responsive Ce-hemin nanozyme-based portable colorimetric sensor for tetracyclines assay

  • 期刊论文

  • 发表日期：

    2026年7月3日

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  • Tiance Gu,
  • Haiyan Shi,
  • Dongying Liu,
  • Menghan Wang,
  • Qingqing Wu,
  • Shuting Du,
  • Xueran Shi,
  • Jing Wang,
  • Qian Han

摘要

A cerium ion-modified hemin polymer (Ce-hemin) was synthesized via a facile route, exhibiting photo-responsive oxidase-like activity and excellent stability. The Ce doping effectively prevented hemin aggregation, facilitated electron transfer, enhanced photocatalytic activity, and created a high adsorption capacity for tetracyclines (TCs). Taking advantage of the photo-sensitivity of TCs, a “turn-on” colorimetric sensing platform based on Ce-hemin nanozymes and smartphone-readout was constructed for visual analysis of TCs. This sensor offers a wide detection range and a low limit of detection (0.11 μM). The mechanism of the “turn-on” colorimetric performance was systematically discussed, which involves the abundant generation of superoxide radical anion (·O2−) species through photoexcitation of the surface complex between TCs and Ce-hemin. Furthermore, machine learning was employed for the accurate classification and identification of two representative TCs and chloramphenicol. Thus, this work provides an environmentally friendly strategy for the detection of TCs without H2O2, and also broadens the application of photo-responsive nanozymes in colorimetric sensors.

Graphical Abstract