Determination of imidacloprid and acetamiprid in bottled juice by a new DLLME-HPLC

Tursen, Janar; Yang, Ting; Bai, Lu; Li, Deqiang; Tan, Rui‐Kang

doi:10.1007/s11356-021-13540-2

Cited by 19 publications

(9 citation statements)

References 26 publications

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“…The results obtained for recovery studies were in the acceptable range [46] indicating that the matrices of different real samples have no significant effect on the performance of the proposed method. Similar results were also reported by other workers, both for accuracy and precision analysis of pesticides in fruit juices [12,20].…”

Section: Applications Of Dllme−sfod To Real Fruit Juice Analysessupporting

confidence: 91%

“…Most pesticides are volatile and thermally stable, making them suitable for GC [8][9][10][11][12][13]. On the other hand, HPLC coupled with a diode array detector (DAD) is also frequently used to determine polar and thermally unstable pesticide compounds [7,[14][15][16][17][18][19][20][21]. Both LC−MS and LC−MS/MS procedures, providing high sensitivity and better levels of selectivity, have increased the interest of researchers these days [4,22].…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Applications Of Dllme−sfod To Real Fruit Juice Analysessupporting

confidence: 91%

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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“…The LOB, LOD and LOQ were found to 0.0478, 0.0489 and 0.158 μg mL -1 for acetamiprid, respectively (Table 1). The LOD and LOQ found were 0.83 -1.7 μg L −1 for acetamiprid in black currant juice samples by Tursen et al (2021).…”

Section: Resultsmentioning

confidence: 88%

Spectrophotometric detection and quantification limits of fipronil and neonicotinoids in acetonitrile

Fouad

2022

International Journal of Family Studies, Food Science and Nutri

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Spectrophotometer is a commonly used and basic analytical technique that can be used for both quantitative and qualitative examination in chemical, pesticides and other materials. In this work, it was studied that spectral-density (S-D) curve, calibration density (C-D) curve and quantification limits for fipronil and neonicotinoids insecticides in acetonitrile solvent on UV-Vis Spectrophotometer (Thermo Corporation, Nicolet, evolution 100) were maximum absorption (λ max ) equal 208, 256, 269 and 246 nm for fipronil, thiamethoxam, imidacloprid and acetamiprid, respectively. The slope and R2 were 0.059 and 0.9545 for fipronil, 0.044 and 0.9989 for thiamethoxam, 0.046 and 0.999 for imidacloprid and 0.249 and 0.9996 for acetamiprid, respectively. The limit of blank (LOB), limits of detection (LOD), and quantification (LOQ) were found to be 0.

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“…Consequently, it is vital to develop a simple, rapid, sensitive, and cost-effective approach for monitoring IDP residue in agricultural products and environmental samples. Traditional detection methods for IDP include high-performance liquid chromatography (HPLC) [ 11 , 12 ], gas chromatography–mass spectroscopy (GC-MS) [ 13 ], surface-enhanced Raman scattering (SERS) [ 14 , 15 ], colorimetry [ 16 ], fluorescence [ 17 ], immunoassays [ 18 ], and electrochemical methods [ 19 ]. Although immunoassays have the advantages of high specificity, sensitivity, and simplicity, they are limited by their high cost, poor stability, and the demanding conditions necessary for the preservation and chemical modification of antibodies [ 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

Molecularly Imprinted Polymer-Modified Microneedle Sensor for the Detection of Imidacloprid Pesticides in Food Samples

Mugo¹,

Lu²,

Robertson³

2022

Sensors

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A portable, molecularly imprinted polymer (MIP)-based microneedle (MN) sensor for the electrochemical detection of imidacloprid (IDP) has been demonstrated. The MN sensor was fabricated via layer-by-layer (LbL) in-tube coating using a carbon nanotube (CNT)/cellulose nanocrystal (CNC) composite, and an IDP-imprinted polyaniline layer co-polymerized with imidazole-functionalized CNCs (PANI-co-CNC-Im) as the biomimetic receptor film. The sensor, termed MIP@CNT/CNC MN, was analyzed using both cyclic voltammetry (CV) and differential pulse voltammetry (DPV) and showed excellent electrochemical performance for the detection of IDP. The CV detection range for IDP was 2.0–99 µM, with limits of detection (LOD) of 0.35 µM, while the DPV detection range was 0.20–92 µM with an LOD of 0.06 µM. Additionally, the MIP@CNT/CNC MN sensor showed excellent reusability and could be used up to nine times with a 1.4 % relative standard deviation (% RSD) between uses. Lastly, the MIP@CNT/CNC MN sensor successfully demonstrated the quantification of IDP in a honey sample.

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Determination of imidacloprid and acetamiprid in bottled juice by a new DLLME-HPLC

Cited by 19 publications

References 26 publications

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

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

Spectrophotometric detection and quantification limits of fipronil and neonicotinoids in acetonitrile

Molecularly Imprinted Polymer-Modified Microneedle Sensor for the Detection of Imidacloprid Pesticides in Food Samples

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