Analysis of sulfonylurea herbicides in grain samples using molecularly imprinted polymers on the surface of magnetic carbon nanotubes by extraction coupled with HPLC

You, Xiaoxiao; Chen, Ligang

doi:10.1039/c5ay02759d

Cited by 20 publications

(1 citation statement)

References 38 publications

(45 reference statements)

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“…As an active ingredient belonging to a brand-new type of sulfonylurea herbicide by Monsanto Company, halosulfuron-methyl (molecular formula: C 13 H 15 ClN 6 O 7 S; CAS RN 100784-20-1; molecular mass: 434.81 g·mol –1 ; IUPAC name: methyl 3-chloro-5-([(4,6-dimethoxy-2-pyrimidinyl)carbamoyl]sulfamoyl)-1-methyl-1 H -pyrazole-4-carboxylate; chemical structure shown in Figure S1 of the Supporting Information) is usually used for the control of broadleaf and sedge weeds in corn, rice, wheat, sugar cane, and other gramineous crop fields. − Actually, sulfonylurea herbicides were commercialized by DuPont Co., Ltd., in 1982 first due to its satisfactory herbicidal activity, high efficiency, broad spectrum, and safe to remove perennial gramineous and broadleaved grasses . It is safe for crops due to its rapid metabolism or detoxification into harmless substances.…”

Section: Introductionmentioning

confidence: 99%

Equilibrium Solubility Investigation and Thermodynamic Computational Modeling of Halosulfuron-methyl in a Series of Cosolvent Mixtures at a Temperature Range of 278.15–323.15 K

et al. 2020

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Water as an auxiliary solvent is added to various alcohol solvents (methanol, ethanol, and isopropanol) and N,N-dimethylformamide (DMF) to form a variety of liquid mixtures, which are divided into different types according to different proportions. Starting from pure water, 0.1 mass fraction of organic solvents is added at a time until the ratio of organic solvent is 1. The abovementioned liquid mixtures are used as solvents to dissolve halosulfuron-methyl at 278.15–323.15 K under 101.2 kPa by means of the isothermal static technique. The experimental solubility of halosulfuron-methyl was calculated and validated by using three various computational models, i.e., Jouyban–Acree model, modified Apelblat–Jouyban–Acree model, and van’t Hoff–Jouyban–Acree model. Considering that there are many factors that change the experimental results, this experiment mainly selected temperature and water content as two factors as the main independent variables. From the point of view of temperature, it changes from a low value to a high value, so it is obvious that the solute mole fraction also follows its footsteps. Unlike the temperature, as the organic solvent is continuously diluted by water, the solute solubility changes in the opposite direction to the water content. By controlling the variable method to ensure that the above two variables remain unchanged, DMF has the best dispersion ability for all the selected solvents to dissolve halosulfuron-methyl. The solubility maximum of 2.542 × 10–3 at 323.15 K was found in pure DMF, and four systems followed the descending order as (DMF + water) > (ethanol + water) > (methanol + water) > (isopropanol + water). The largest relative average deviation and root-mean-square deviation values were 5.70 × 10–3 and 6.90 × 10–6, respectively. For drugs with poor water solubility and dissolution rate, measuring their solubility and understanding their dissolution properties could effectively help solve the problem of nonwetting and nondiffusion. The obtained equilibrium solubility and correlation parameters of halosulfuron-methyl in studied cosolvency systems could be favorable for the industrial production, recrystallization, and purification processes of API halosulfuron-methyl.

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Section: Introductionmentioning

confidence: 99%

Equilibrium Solubility Investigation and Thermodynamic Computational Modeling of Halosulfuron-methyl in a Series of Cosolvent Mixtures at a Temperature Range of 278.15–323.15 K

et al. 2020

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Preparation of polydopamine‐coated, graphene oxide/Fe₃O₄‐ imprinted nanoparticles for selective removal of sulfonylurea herbicides in cereals

Zhao

et al. 2020

J Sci Food Agric

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BACKGROUNDSulfonylureas are potentially toxic broad‐spectrum herbicides. They pose a persistent threat to food safety and the environment. It is therefore important to develop a rapid and efficient pretreatment and detection method to prevent their harmful effects on human health.RESULTSIn the present work, a novel and highly selective absorbent for chlorosulfuron (CS) detection was prepared by the simple self‐polymerization of dopamine on the surface of magnetic graphene oxide using a CS template. The resultant imprinted nanoparticles (MGO@PDA‐MIPs) were characterized by transmission electron microscopy, X‐ray diffraction, vibrating‐sample magnetometry, thermogravimetric analysis, and nitrogen adsorption–desorption. The adsorption experiments demonstrated that the MGO@PDA‐MIPs have excellent selectivity with regard to CS, with a high imprinting factor of 3.41 compared with a non‐imprinted polymer. The nanoparticles rapidly achieve adsorption equilibrium and efficient desorption because there are numerous binding sites on the thin polydopamine imprinting layer. Under optimized conditions, the MGO@PDA‐MIPs can be used to detect sulfonylurea residues in cereal samples by magnetic solid phase extraction coupled with high performance liquid chromatography (HPLC). The nanoparticles have a satisfactory recovery rate (80.65–101.01%) with a relative standard deviation (RSD) of less than 7.15%, and a limit of detection with regard to CS of 1.61 μg kg−1 (S/N = 3). They can also be re‐used at least seven times.CONCLUSIONThe MGO@PDA‐MIPs have outstanding recognition performance, and can be prepared by a facile, single‐step, and environmentally friendly process. They therefore have excellent potential for the recognition and separation of trace sulfonylurea herbicides in complex matrices. © 2020 Society of Chemical Industry

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A Water‐Stable Tb(III) Metal‐Organic Framework with Multiple Fluorescent Centers for Efficient Self‐Calibration Sensing Pesticides

Gao

Liu

et al. 2021

ChemistrySelect

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Traditional single-fluorescence sensors have certain limitations in selectivity and sensitivity, and developing novel selfcalibration probes is highly required. Herein, a novel waterstabilized lanthanide metal-organic framework (MOF) sensor (Tb-BDOA) was selected, and its multiple emission peaks were used to self-calibrate sensing pesticide. Tb-BDOA emits green fluorescence at 445 nm,488 nm,545 nm,587 nm and 621 nm under the excitation of 280 nm. Different pesticides will cause different changes in the emission peaks of Tb-BDOA, so as to conveniently distinguish different pesticides and displays selfcalibration fluorescent response to nicosulfuron (NSF) and thiamethoxam (TMT). Besides the unique combination of each pesticide and ligand!Tb(III) emission intensity ratio showed significant correlation, which realized specific two-dimensional fingerprint recognition. At the same time, 3D code recognition is realized by drawing the changes of two ratios under different concentrations. As a result, the novel self-calibration sensor demonstrates effective recognition of NSF and TMT with excellent sensitivity and selectivity as well as great recycling ability. This provides a promising strategy for the development of new self-calibrating sensors.

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Analysis of sulfonylurea herbicides in grain samples using molecularly imprinted polymers on the surface of magnetic carbon nanotubes by extraction coupled with HPLC

Abstract: A polymerization process for magnetic molecularly imprinted polymers.

Cited by 20 publications

References 38 publications

Equilibrium Solubility Investigation and Thermodynamic Computational Modeling of Halosulfuron-methyl in a Series of Cosolvent Mixtures at a Temperature Range of 278.15–323.15 K

Equilibrium Solubility Investigation and Thermodynamic Computational Modeling of Halosulfuron-methyl in a Series of Cosolvent Mixtures at a Temperature Range of 278.15–323.15 K

Preparation of polydopamine‐coated, graphene oxide/Fe₃O₄‐ imprinted nanoparticles for selective removal of sulfonylurea herbicides in cereals

A Water‐Stable Tb(III) Metal‐Organic Framework with Multiple Fluorescent Centers for Efficient Self‐Calibration Sensing Pesticides

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Analysis of sulfonylurea herbicides in grain samples using molecularly imprinted polymers on the surface of magnetic carbon nanotubes by extraction coupled with HPLC

Abstract: A polymerization process for magnetic molecularly imprinted polymers.

Cited by 20 publications

References 38 publications

Equilibrium Solubility Investigation and Thermodynamic Computational Modeling of Halosulfuron-methyl in a Series of Cosolvent Mixtures at a Temperature Range of 278.15–323.15 K

Equilibrium Solubility Investigation and Thermodynamic Computational Modeling of Halosulfuron-methyl in a Series of Cosolvent Mixtures at a Temperature Range of 278.15–323.15 K

Preparation of polydopamine‐coated, graphene oxide/Fe3O4‐ imprinted nanoparticles for selective removal of sulfonylurea herbicides in cereals

A Water‐Stable Tb(III) Metal‐Organic Framework with Multiple Fluorescent Centers for Efficient Self‐Calibration Sensing Pesticides

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Preparation of polydopamine‐coated, graphene oxide/Fe₃O₄‐ imprinted nanoparticles for selective removal of sulfonylurea herbicides in cereals