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October 19, 2025Analytical Chemistry5 citations

Low-Potential Electrochemiluminescence Imaging Mediated by Oxygen Vacancy for Sensitive Analysis of Diazinon

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ZRZhuangzhuang RuXSXu SunXDXue Dong

Key Points

  • The ECL imaging biosensor effectively detects diazinon with a low detection limit of 7.6 pM, indicating exceptional sensitivity.
  • Utilizing FeNi layered double hydroxide enriched with oxygen vacancies resulted in strong ECL signals by enhancing radical production.
  • The biosensor shows a wide linear detection range from 0.1 to 5,000 nM, providing effective quantification of diazinon in samples.
  • Mechanistic studies reveal that active sites from oxygen vacancies greatly facilitate radical activation, enhancing detection capabilities.

Abstract

With the prevalence of electrochemiluminescence (ECL) in bioanalysis and clinical diagnostics, the development of efficient low-potential ECL systems has emerged as a research focus. Herein, a novel coreactant acceleration approach was reported based on FeNi layered double hydroxide enriched with oxygen vacancies (FeNi-LDH-VO). The system produced notably strong ECL signals at −0.8 V when integrated with a Zr-porphyrin metal–organic framework (Zr-MOF). Mechanistic investigations revealed that the VO in the FeNi-LDH provided abundant active sites that facilitated peroxydisulfate (S2O82–) adsorption and activation, which triggers the generation of highly reactive sulfate (SO4•–) and hydroxyl (•OH) radicals. Efficient radical production played a key role in enhancing ECL output. Based on this mechanism, an ECL imaging biosensor was designed for visually detecting diazinon (DZN). In the presence of Mg2+, the DNAzyme catalyzed the site-specific cleavage of the ferrocene (Fc)-labeled strand, resulting in the release of Fc quenchers from the electrode surface and an ECL signal that is enhanced in a concentration-dependent manner. The biosensor exhibited a wide linear range (0.1 to 5.0 × 103 nM), a low detection limit (7.6 pM), and excellent specificity and repeatability, showing potential for food marker detection.

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Cite This Study

Ru et al. (2025) studied this question.

synapsesocial.com/papers/68f43ef4854d1061a58abb79https://doi.org/10.1021/acs.analchem.5c05989
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