2023
DOI: 10.1016/j.microc.2022.108193
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A high-throughput semi-automated dispersive liquid–liquid microextraction based on deep eutectic solvent for the determination of neonicotinoid pesticides in edible oils

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Cited by 23 publications
(4 citation statements)
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“…In 518 samples from 20 diferent types of vegetables used in this investigation, a total of 32 pesticide residues were found, and the MRLs were exceeded by 7.7% of the observed pesticide residues [116]. For leafy, melon and fruit, and root vegetables, the percentages of residues that exceeded the MRLs were 11.2%, 5.1%, and 1.6%, respectively, and the percentage of samples that exceeded the MRLs for various vegetables did not vary by season [117].…”
Section: Pesticide Residues In Fruits and Vegetablesmentioning
confidence: 82%
“…In 518 samples from 20 diferent types of vegetables used in this investigation, a total of 32 pesticide residues were found, and the MRLs were exceeded by 7.7% of the observed pesticide residues [116]. For leafy, melon and fruit, and root vegetables, the percentages of residues that exceeded the MRLs were 11.2%, 5.1%, and 1.6%, respectively, and the percentage of samples that exceeded the MRLs for various vegetables did not vary by season [117].…”
Section: Pesticide Residues In Fruits and Vegetablesmentioning
confidence: 82%
“…Machine Learning and Predictive Analytics: can predict outbreaks based on various factors such as weather patterns, past infestations, and cropping patterns, enabling preemptive measures [59]. Automated Pesticide Application: can ensure that pesticides are applied in the right amounts and only when necessary, reducing costs, environmental impact, and resistance buildup [60]. Beyond the traditional biological controls, new frontiers are being explored, driven by a deeper understanding of ecology and biotechnology.…”
Section: Future Prospects and Research Directionsmentioning
confidence: 99%
“…Farajzadeh et al [ 27 ] developed a new, simple and efficient method based on evaporation of the sedimented organic phase obtained from DLLME for the analysis of multiclass pesticide residues from some fruit juice samples. Ju et al [ 28 ] applied deep eutectic solvent as the extractant, and the developed DLLME method displayed satisfactory extraction efficiency for the three neonicotinoid pesticides in edible oils, and coupled this with HPLC for the detection. However, this technology is only suitable for several compounds or a class of compounds, and the sample matrix is relatively limited and cannot meet the requirements of high throughput and automatic pretreatment.…”
Section: Introductionmentioning
confidence: 99%