Determination of 2,4-Dichlorophenoxyacetic Acid in Water and Edible Seeds Samples Using Salt-Assisted Liquid-Liquid Extraction Coupled with High-Performance Liquid Chromatography

Fluorescence Polarization Immunoassay for Rapid, Sensitive Detection of the Herbicide 2,4-Dichlorophenoxyacetic Acid in Juice and Water Samples

2,4-Dichlorophenoxyacetic acid (2,4-D) is one of the popular herbicides that is widely used in agriculture and can be found in food and water. A rapid and sensitive fluorescence polarization immunoassay (FPIA) was proposed for the detection of 2,4-D in juice and water. New tracers, 2,4-D-buthylenediamin fluoresceinthiocarbamyl (2,4-D-BDF) and 2,4-D-glycine aminofluorescein (2,4-D-GAF), were obtained and characterized. Monoclonal antibodies (MAb) obtained against 2,4-D were used as a recognition reagent. The kinetics of the interaction of MAb and tracers were studied, and the kinetic parameters of their binding were calculated. High specificity of binding of tracers and MAb was shown. In this work, an approach was elaborated on to reduce the detection limit of 2,4-D by the FPIA method by changing the volume of the studied sample. The optimized FPIA in a competitive format was characterized by the LODs of 2,4-D 8 and 0.4 ng/mL and the working ranges 30-3000 ng/mL and 3-300 ng/mL for juice and water, respectively. The entire test cycle (from sample receipt to evaluation of the analysis results) took only 20 min. The test for the recovery of 2,4-D in juice and water gave values from 95 to 120%, which demonstrated the reliability of the herbicide determination in real samples.

A Ratiometric Biosensor Containing Manganese Dioxide Nanosheets and Nitrogen-Doped Quantum Dots for 2,4-Dichlorophenoxyacetic Acid Monitoring

Nanomaterials are desirable for sensing applications. Therefore, MnO2 nanosheets and nitrogen-doped carbon dots (NCDs) were used to construct a ratiometric biosensor for quantification of 2,4-dichlorophenoxyacetic acid. The MnO2 nanosheets drove the oxidation of colorless o-phenylenediamine to OPDox, which exhibits fluorescence emission peaks at 556 nm. The fluorescence of OPDox was efficiently quenched and the NCDs were recovered as the ascorbic acid produced by the hydrolyzed alkaline phosphatase (ALP) substrate increased. Owing to the selective inhibition of ALP activity by 2,4-D and the inner filter effect, the fluorescence intensity of the NCDs at 430 nm was suppressed, whereas that at 556 nm was maintained. The fluorescence intensity ratio was used for quantitative detection. The linear equation was F = 0.138 + 3.863·C 2,4-D (correlation coefficient R2 = 0.9904), whereas the limits of detection (LOD) and quantification (LOQ) were 0.013 and 0.040 μg/mL. The method was successfully employed for the determination of 2,4-D in different vegetables with recoveries of 79%~105%. The fluorescent color change in the 2,4-D sensing system can also be captured by a smartphone to achieve colorimetric detection by homemade portable test kit.

A Highly Selective Analytical Method Based on Salt-Assisted Liquid-Liquid Extraction for Trace-Level Enrichment of Multiclass Pesticide Residues in Cow Milk for Quantitative Liquid Chromatographic Analysis

In this study, a simple, inexpensive, selective, and fast salting-out assisted liquid-liquid extraction (SALLE) technique coupled with high-pressure liquid chromatography-diode array detection (HPLC-DAD) was developed for the extraction, preconcentration, and analysis of trace level seven multiclass pesticide residues in pasteurized and raw cow milk samples. The significant factors that affect the extent to which the target analytes are extracted, such as the type of extraction solvent and its volume, the type and concentration of salting-out salts, the pH of the solution, and the extraction time, have been investigated. Under optimum conditions, the correlation coefficient (r2) was obtained within a range of 0.9982-0.9997 for a broad linear range concentration of 2-1500 ng·mL-1. Reliable sensitivity was achieved with limits of detection (LODs) and limits of quantification (LOQs) ranging from 0.58-2.56 ng·mL-1 and 1.95-8.51 ng·mL-1, respectively. While precision with interday and intraday in terms of relative standard deviations (RSDs) was observed in the range of 1.97 - 7.88% and 4.52 - 8.04%, respectively. The results of the precision studies reveal that good repeatability and reproducibility (RSDs <9) were achieved, thus showing a low variability extraction of the developed method. Finally, the proposed and validated approach was effectively used to extract and determine pesticide residues in real milk matrices; however, the target analytes were not detected in all samples.

An ic-ELISA and immunochromatographic strip assay for the detection of 2,4-dichlorophenoxyacetic acid in bean sprouts and cabbage

The compound 2,4-dichlorophenoxyacetic acid (2,4-D) is a synthetic plant growth regulator, which is widely used in agricultural production. Consequently, it is necessary to establish a rapid and sensitive detection method to monitor its use and prevent the environmental and human health problems caused by overuse. In this study, a monoclonal antibody (mAb) 2D5 against 2,4-D was prepared, and based on it, an ic-ELISA and an immunochromatographic strip assay (ICA) were developed for rapid detection. The 50% inhibitory concentration (IC ₅₀) of the mAb against 2,4-D was 1.7 ng mL^-1 and the mAb showed no cross-reactivity with other plant growth regulators with similar structures to 2,4-D. Under optimum conditions, the ICA showed a visual detection limit (vLOD) of 20 ng mL^-1 and a cut-off value of 200 ng mL^-1 in bean sprouts, and cabbage samples gave the same results. The quantitative detection showed the linear detection ranges for bean sprouts and cabbage samples were 6.3-73.0 and 5.4-132.6 ng mL^-1, respectively. The ICA was successfully applied to detect 2,4-D in bean sprouts and cabbage samples and achieved good recoveries ranging from 94.7% to 104.3% with a coefficient of variation (CV) less than 8.3%. Hence, the ICA provides a sensitive, efficient and reliable detection method, which has broad application prospects in the detection of a large number of samples.

Development of monolith/aminated carbon nanotubes composite-based solid-phase microextraction of phenoxycarboxylic acids herbicides in water and soil samples

In this study, a new adsorbent based on monolith/aminated carbon nanotubes composite was facilely prepared and employed as the extraction phase of multiple monolithic fibers solid-phase microextraction for the capture of phenoxycarboxylic acids herbicides. The adsorbent was fabricated by mingling aminated carbon nanotubes in the poly (allylthiourea-co-ethylene glycol dimethacrylate) monolith. Various techniques were employed to characterize the morphology, structure, and pore size of the prepared adsorbent. The proposed microextraction method displayed satisfactory capture performance towards studied analytes through multi-interactions such as hydrogen-bonding, hydrophobic and π-π interactions. Under the optimized conditions, a sensitive and reliable method to quantify trace analytes in water and soil samples was developed. The limits of detection were in the ranges of 0.13-0.25 μg/L and 0.20-0.61 μg/kg for water and soil samples, respectively. The practicality of the introduced method was demonstrated by applying it to monitor the contents of studied analytes in environmental water and soil samples. Satisfactory fortified recoveries (76.4-119%) and reproducibility were obtained. The achieved results well demonstrated that the suggested microextraction technique can efficiently extract phenoxycarboxylic acids and the developed method exhibits a promising potential for reliable and sensitive quantification of trace analytes in complex samples.