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<p> A&#xa0;novel paper-based colorimetric sensor was synthesized&#xa0;based on a core–shell metal–organic framework (MOF) coated with dummy molecularly imprinted polymer (DMIP) for detecting organophosphorus pesticides (OPs). The MOF, used as the core, enhances sensor sensitivity owing to its inherent advantages such as high catalytic activity and stability; meanwhile, the introduction of MIP effectively overcomes the limitation of MOFs in single-substrate detection. This sensor shows great on-site detection potential and superior analytical performance owing to the combination of color response and quantitative analysis via a smartphone. Six OPs were successfully detected in agricultural products with a limit of detection as low as 0.5&#xa0;ng/mL. Moreover, the consistency between the sensor and HPLC–MS/MS results was verified, yielding satisfactory agreement&#xa0;ranging from 94.4% to 100%. In conclusion, this method is promising for portable, rapid, and on-site food safety detection.</p> Graphical Abstract <p></p>

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A novel MOF combined with dummy molecularly imprinted polymer paper-based colorimetric sensor equipped with a smartphone detector for sensitive, portable, and on-site detection of organophosphorus pesticides

  • 期刊论文

  • 发表日期：

    2025年10月4日

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  • Yuqing Wang,
  • Jiaxin Chen,
  • Yutong Liu,
  • Ruizhen Zhang,
  • Jing Hong,
  • Yunli Zhao

摘要

A novel paper-based colorimetric sensor was synthesized based on a core–shell metal–organic framework (MOF) coated with dummy molecularly imprinted polymer (DMIP) for detecting organophosphorus pesticides (OPs). The MOF, used as the core, enhances sensor sensitivity owing to its inherent advantages such as high catalytic activity and stability; meanwhile, the introduction of MIP effectively overcomes the limitation of MOFs in single-substrate detection. This sensor shows great on-site detection potential and superior analytical performance owing to the combination of color response and quantitative analysis via a smartphone. Six OPs were successfully detected in agricultural products with a limit of detection as low as 0.5 ng/mL. Moreover, the consistency between the sensor and HPLC–MS/MS results was verified, yielding satisfactory agreement ranging from 94.4% to 100%. In conclusion, this method is promising for portable, rapid, and on-site food safety detection.

Graphical Abstract