High Density Solvent Based Dispersive Liquid-Liquid Microextraction Technique for Simultaneous and Selective Extraction of Multiclass Pesticide Residues in Water and Sugarcane Juice Samples

Tolcha, Teshome; Megersa, Negussie

doi:10.4236/ajac.2018.94018

Cited by 4 publications

(4 citation statements)

References 46 publications

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“…The concern for health of society has led to strict regulation of maximum residue limit of pesticide residues in food [4]. Therefore, monitoring levels of these pesticides in food and environmental samples is imperative for health risk control and environment protection [5].…”

Section: Introductionmentioning

confidence: 99%

SALLE combined with LD-DLLME for pesticides analysis in sugar and soil samples

Tolcha¹,

Gomoro²,

Megersa³

2021

Bull. Chem. Soc. Eth.

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In this study, a modified salting-out-assisted liquid-liquid extraction (SALLE) combined with low density dispersive liquid-liquid microextraction (LD-DLLME) has been developed for quantitative determination of multiclass pesticide residues (atrazine, diazinon, ametryn, terbutryn, chlorpyrifos, dimethametryn, 4,4'-dichlorodiphenyldichloroethylene (4,4'-DDE), 4,4'-dichlorodiphenyldichloroethane (4,4'-DDD) and 4,4'-dichloro- diphenyltrichloroethane (4,4'-DDT)) levels in sugar and soil samples coupled with gas chromatography–mass spectrometry (GC-MS) detection. The extract was enriched after combining SALLE to LD-DLLME and enrichment factor obtained ranged 30-121. Under the optimum conditions, the linearity of the method was in the range of 6.25–100 ng g-1 for atrazine, ametryn, terbutryn, dimethametryn and 4,4'-DDT, and in the range of 2.5–100 ng g-1 for diazinon, chlorpyrifos and 4,4'-DDD, and in the range of 1–100 for 4,4'-DDE with correlation coefficient of 0.992 or better. The limits of detection (LODs) ranged from 0.01–0.25 ng g-1. The precisions as %RSD, were below 10% for both matrices. The recoveries obtained from spiked sugar and soil samples at 5 and 50 ng g-1 ranged from 79 to 111%. The method was subsequently applied to real sugar and soil samples. All the pesticides investigated were not detected in the sugar sample. The soil sample was contaminated by atrazine and ametryn at concentration level of 0.3 and 0.2 ng g-1, respectively. KEY WORDS: SALLE, LD-DLLME, Extraction, Pesticide residues, Sugar, Soil Bull. Chem. Soc. Ethiop. 2021, 35(1), 1-16. DOI: https://dx.doi.org/10.4314/bcse.v35i1.1

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Section: Introductionmentioning

confidence: 99%

SALLE combined with LD-DLLME for pesticides analysis in sugar and soil samples

Tolcha¹,

Gomoro²,

Megersa³

2021

Bull. Chem. Soc. Eth.

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“…It was observed that the peaks of all the target analytes were increased with an increase in pH up to 5 and then lowered at higher pH values (Figure 4). This effect may be explained by the fact that the stability of the target analytes is better enhanced in weakly acidic and weakly alkaline solutions over strongly acidic and strongly alkaline solutions, where they could readily be ionized [3]. Thus, pH 5 was selected as the optimum value for the subsequent experiments.…”

Section: Effect Of the Sample Phmentioning

confidence: 99%

“…They are manufactured from multiple molecule substances obtained from various chemical groups that share some characteristics [1]. Out of the total amount of pesticides sprayed on the plants, only less than 0.1% of the applied pesticides actually reach the targeted pests; the remainder may end up on other environmental compartments and consumables like fruits and vegetables [2][3][4][5]. This has led to the need for discovery of these compounds in food, soil, and water, possibly compromising both human life and health of all other living species [6].…”

Section: Introductionmentioning

confidence: 99%

Fast surface floating organic droplets based dispersive liquid‐liquid microextraction for trace enrichment of multiclass pesticide residues from different fruit juice samples followed by high performance liquid chromatography–diode array detection analysis

Bekele

Megersa

2023

Separation Science Plus

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This study was designed to enable the development of a simple, fast, and environmentally friendly analytical technique utilizing dispersive liquid‐liquid microextraction based on surface floating organic droplets for selective and quantitative enrichment of trace level pesticide contaminants from different fruit juice samples for subsequent detection by high performance liquid chromatography, combined with a diode array detector. The selective extraction was necessitated in order to isolate the seven multiclass pesticide residues frequently occurring in fruit juice samples. The effects of experimental parameters such as pH of sample solution, type and volume of extraction and dispersive solvents, ionic strength and extraction time were optimized. The optimized method was validated using spiked blank sample and satisfactory results for accuracy, with recoveries ranging from 87.23% to 99.45%, with %relative standard deviation between 1.37 and 8.39, precision in terms of %relative standard deviation ≤ 10.78 and linearity at concentration levels from 3 to 1500 ng/ml, which corresponded with correlation coefficients ≥ 0.998. The limits of detection and the limits of quantification were ranged from 1.3×10−2 to 5.3×10−2 and 4.2×10−2 to 1.8×10−1 μg/L, respectively. At the end, the method was successfully applied to analyze real fruit juice samples and target analytes were not detected in real samples.

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“…The main prerequisite is the miscibility of the disperser solvent with the extraction of the organic phase [18]. As a result, three organic solvents (methanol, ethanol, and acetone) were studied as dispersants.…”

Section: Selection Of Dispersing Solventmentioning

confidence: 99%

Increase the Efficiency of Dispersive Liquid-Liquid Microextraction (DLLME) and its Use for the Determination of Lead (II) in Aqueous Solutions

Hassan,

AbdulHassan,

Hameed

2023

IOP Conf. Ser.: Earth Environ. Sci.

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A simple, sensitive, and greener method for green extraction and preconcentration of lead from aqueous media and further assay by UV-Vis spectrophotometer has been developed using 1,5 diphenylthiocarbazone (dithizone). Several factors of dispersive liquid-liquid microextraction (DLLME) including the type and volume of extraction and dispersive solvents, shaking time, the concentration of dithizone as a complexing agent, and pH were optimized. Under optimum selected conditions, the limit of detection (LOD), the limit of quantification (LOQ), the linearity range, the relative standard deviation (RSD), and the Enrichment factor (EF) of the proposed method were obtained at 0.007 ppm, 0.025 ppm, 0.01-0.1 ppm, 4.3% (n = 3) and 40, respectively. This proposed method was successfully applied in the analysis of three synthetic water samples and good spiked recoveries over the range of 96.0–98.5% were obtained.

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High Density Solvent Based Dispersive Liquid-Liquid Microextraction Technique for Simultaneous and Selective Extraction of Multiclass Pesticide Residues in Water and Sugarcane Juice Samples

Cited by 4 publications

References 46 publications

SALLE combined with LD-DLLME for pesticides analysis in sugar and soil samples

SALLE combined with LD-DLLME for pesticides analysis in sugar and soil samples

Fast surface floating organic droplets based dispersive liquid‐liquid microextraction for trace enrichment of multiclass pesticide residues from different fruit juice samples followed by high performance liquid chromatography–diode array detection analysis

Increase the Efficiency of Dispersive Liquid-Liquid Microextraction (DLLME) and its Use for the Determination of Lead (II) in Aqueous Solutions

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