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<p>Alternaria mycotoxins, alternariol (AOH) and alternariol monomethyl ether (AME), are prevalent contaminants in tomato products posing significant health risks. This work presents a novel fluorometric sensing platform using β-cyclodextrin-functionalized green-emissive carbon dots (β-CD@GCDs) for selective mycotoxin determination through static quenching via host-guest inclusion complex formation. The method exhibited wide linearity (0.5–60.0 ng/mL) with low detection limits (0.15 ng/mL for AOH, 0.18 ng/mL for AME). Practical applicability in tomato paste samples showed excellent recoveries (97.4–100.8%), confirming accuracy in complex matrices. Integration with smartphone-based colorimetric detection enabled rapid on-site screening without sophisticated instrumentation. The validated method successfully monitored AOH and AME levels in tomato paste under varying storage conditions (temperature and time), demonstrating utility as a practical tool for food safety assessment and quality control in the tomato processing industry.</p> Graphical Abstract <p></p>

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β-Cyclodextrin-functionalized green-emissive carbon dots for supramolecular recognition and smartphone detection of major Alternaria mycotoxins in tomato paste

  • 期刊论文

  • 发表日期：

    2026年4月15日

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  • Ali M. Alaseem,
  • Razan Orfali,
  • Glowi Alasiri,
  • Mohamed M. El-Wekil,
  • Ramadan Ali,
  • Jung-Hoon Lee,
  • Mohamed R. Elmasry,
  • Suliman A. Almahmoud,
  • Al-Montaser Bellah H. Ali

摘要

Alternaria mycotoxins, alternariol (AOH) and alternariol monomethyl ether (AME), are prevalent contaminants in tomato products posing significant health risks. This work presents a novel fluorometric sensing platform using β-cyclodextrin-functionalized green-emissive carbon dots (β-CD@GCDs) for selective mycotoxin determination through static quenching via host-guest inclusion complex formation. The method exhibited wide linearity (0.5–60.0 ng/mL) with low detection limits (0.15 ng/mL for AOH, 0.18 ng/mL for AME). Practical applicability in tomato paste samples showed excellent recoveries (97.4–100.8%), confirming accuracy in complex matrices. Integration with smartphone-based colorimetric detection enabled rapid on-site screening without sophisticated instrumentation. The validated method successfully monitored AOH and AME levels in tomato paste under varying storage conditions (temperature and time), demonstrating utility as a practical tool for food safety assessment and quality control in the tomato processing industry.

Graphical Abstract