Optimization deep eutectic solvent-based ultrasound-assisted liquid-liquid microextraction by using the desirability function approach for extraction and preconcentration of organophosphorus pesticides from fruit juice samples
Abstract
A deep eutectic solvent-based ultrasound-assisted liquid-liquid microextraction (DES-UALLME) followed by quantitative analysis using HPLC-UV has been developed for the determination of organophosphorus pesticides (phosalone and chlorpyrifos) in fruit juice samples (red grape juice and sour cherry juice). In DES-UALLME, ultrasonication was applied to transfer the aggregated of DES into tiny droplets. The parameters that influence on extraction efficiency were studied and optimized by central composite design (CCD) in combination with a desirability function approach. The optimum conditions obtained by multivariate optimization were 408 μL of DES, 560 μL of THF, pH of 5.92, and an ultrasonication time of 12.31 min. Under the optimized condition, wide linear range (1–500 ng mL⁻¹), low detection limits (0.070 and 0.096 ng mL⁻¹), high enrichment factors, and good extraction recoveries were obtained. The procedure was successfully applied for the determination of phosalone and chlorpyrifos in red grape juice and sour cherry juice samples with satisfactory relative recoveries (87.3–116.7 %).
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The proposed method revealed lower LODs, a wider linearity range, and satisfactory recoveries compared with other reported methods for OPP detection.
“It could be clearly seen that the proposed method revealed lower LODs, a wider linearity range, and satisfactory recoveries.”
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“…presented method based on DES-UA-DLLME was compared with other reported methods for the detection of OPPs and is listed in Table 4, including magnetic solid phase extraction (MSPE) [29], dispersive liquid–liquid microextraction (DLLME) [30], solid phase extraction (SPE) [31–33], and DES-DLLME [34].”
Method
- Authors
- Heidari, H., Ghanbari-Rad, S., & Habibi, E.
- Affiliations
- Azarbaijan Shahid Madani University (IR)
- Urmia University (IR)
- Corresponding author
- Heidari, Hassan
- ORCID
- Heidari, Hassan
- Venue
- Journal of Food Composition and Analysis
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 87
- Pages
- 103389
- ISSN
- 0889-1575 (ISSN-L)
- OpenAlex
- W2994728476
- Cited by
- 62
- References
- 25
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 8 · 2023: 10 · 2022: 11 · 2021: 11 · 2020: 9
- FWCI
- 4.34
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Food Composition and Analysis (publishedVersion)
- Topics
- Physical Sciences › Chemistry › Analytical Chemistry › Analytical chemistry methods development
- Life Sciences › Agricultural and Biological Sciences › Food Science › Pesticide Residue Analysis and Safety
- Physical Sciences › Chemical Engineering › Catalysis › Ionic liquids properties and applications
- Keywords
- deep eutectic solvents, organophosphorus pesticides, phosalone, chlorpyrifos, fruit juice, red grape juice, sour cherry juice, desirability function, extraction optimization, pesticide preconcentration, food safety
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