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<p>Glyphosate is a common non-selective herbicide that targets parasitic weeds and safeguards the crops. It is widely used in agriculture, so its residues are often found in water, soil, and food. This makes its detection very important for protecting human health and the environment. But its persistence in ecosystems, notably aquatic ones, is the primary problem. To detect the presence of glyphosate, a rapid one-pot sol–gel polymerisation strategy was employed for the fabrication of the sensor. The prepared sensor exhibits an emission spectrum at 514&#xa0;nm with an excitation wavelength of 326&#xa0;nm. The prepared sensor was specific for the targeted analyte and capable of detecting glyphosate within less than one minute by quenching the fluorescence of MIP NPs based sensor, not giving a response to other herbicides tested. This selective detection is validated by DFT calculations, which show that the interaction between FITC and glyphosate is 2.82 Kcal/mol, which is quite good compared to the FITC interaction energy with other herbicides, this provides molecular-level insight into the selective recognition mechanism. Moreover, we have optimized various experimental conditions to enhance the sensitivity of the developed sensors. At optimised conditions, the limit of detection (LOD) was 1.404 nM, with an imprinting factor (IF) of 2.8, indicating the highly sensitive nature of the developed sensor. The practical applicability of the sensor was confirmed by analysing glyphosate in food and water samples, with adequate recovery, demonstrating the feasibility of the sensor for real-sample analysis. Finally, the developed sensor was easy to prepare, exhibited strong fluorescence, and was capable of selectively detecting glyphosate at very low levels in water and food samples.</p>

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Selective Detection of Glyphosate Pesticide Using Molecularly Imprinted Polymeric Nanoparticle Based Optical Sensor

  • 期刊论文

  • 发表日期：

    2026年5月22日

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  • Shahida Rashid,
  • Shakeel Ahmad Shah,
  • Jigneshkumar V. Rohit

摘要

Glyphosate is a common non-selective herbicide that targets parasitic weeds and safeguards the crops. It is widely used in agriculture, so its residues are often found in water, soil, and food. This makes its detection very important for protecting human health and the environment. But its persistence in ecosystems, notably aquatic ones, is the primary problem. To detect the presence of glyphosate, a rapid one-pot sol–gel polymerisation strategy was employed for the fabrication of the sensor. The prepared sensor exhibits an emission spectrum at 514 nm with an excitation wavelength of 326 nm. The prepared sensor was specific for the targeted analyte and capable of detecting glyphosate within less than one minute by quenching the fluorescence of MIP NPs based sensor, not giving a response to other herbicides tested. This selective detection is validated by DFT calculations, which show that the interaction between FITC and glyphosate is 2.82 Kcal/mol, which is quite good compared to the FITC interaction energy with other herbicides, this provides molecular-level insight into the selective recognition mechanism. Moreover, we have optimized various experimental conditions to enhance the sensitivity of the developed sensors. At optimised conditions, the limit of detection (LOD) was 1.404 nM, with an imprinting factor (IF) of 2.8, indicating the highly sensitive nature of the developed sensor. The practical applicability of the sensor was confirmed by analysing glyphosate in food and water samples, with adequate recovery, demonstrating the feasibility of the sensor for real-sample analysis. Finally, the developed sensor was easy to prepare, exhibited strong fluorescence, and was capable of selectively detecting glyphosate at very low levels in water and food samples.