Background
Deoxynivalenol (DON), a widespread mycotoxin produced by Fusarium fungi, contaminates grains like wheat and corn, its thermal/chemical resistance prevents full decomposition during food processing. The severe toxicological impacts of DON have instigated scientific vigilance and elevated public apprehension. The International Agency for Research on Cancer (IARC) assigned deoxynivalenol to its Group 3 classification within its chemical carcinogen taxonomy in 2017. Therefore, it is crucial to detect the content of DON contaminants in grains. In this paper we developed a novel electrochemical luminescence immunoassay based on pyrazine ligands for the detection of DON in grains.
Results
This work presents a significant conceptual and methodological advancement in the field of electrochemiluminescence biosensing. The synthesized Eu-MOF, utilizing 2,3,5,6-tetrakis(4-carboxyphenyl) pyrazine as an AIE (aggregation-induced electrochemiluminescence) ligand and Eu3+ as the metal center, exhibited a significantly enhanced and stable ECL emission compared to the ligand alone, which is attributed to the effective "antenna effect". When integrated with Au@Sn3O4 nanoflowers as a co-reaction accelerator, the ECL intensity was further amplified due to improved electron transfer and catalytic efficiency. After optimizing all parameters, the optimal experimental conditions were determined. The constructed immunosensor demonstrated an excellent wide-range linear response to DON concentrations from 0.007 ng mL−1 to 1000 ng mL−1, with an ultra-low detection limit of 2.3 pg mL−1 (S/N = 3). The sensor also showed high selectivity against other common mycotoxins and satisfactory stability.
Significance
The successful implementation of this "AIE-antenna" dual-effect strategy provides a new and general paradigm for designing high-performance ECL materials. Furthermore, the constructed immunosensor demonstrates its practical utility for the ultrasensitive monitoring of mycotoxins in food safety. The outstanding analytical performance, as evidenced by the ultra-low detection limit, underscores the reliability of this platform and its great potential for the detection of various trace-level contaminants in complex sample.
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