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

Autor: Samira Ghanbari-Rad, Esmaeil Habibi, Hassan Heidari
Rok vydání: 2020
Předmět:
Zdroj: Journal of Food Composition and Analysis. 87:103389
ISSN: 0889-1575
DOI: 10.1016/j.jfca.2019.103389
Popis: 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 %).
Databáze: OpenAIRE