Methodology for Determining Phthalate Residues by Ultrasound-Vortex-Assisted Dispersive Liquid-Liquid Microextraction and GC-IT/MS in Hot Drink Samples by Vending Machines

ANALYTICA(2022)

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摘要
In this study, a simple, fast, and effective methodology has been developed for the detection and quantification of seven phthalates potentially released in hot drinks from disposable containers used in vending machines. The authors determined the optimal conditions to be applied during the various steps of extraction of seven phthalates (DMP, DEP, DBP, DiBP, DEHP, DNOP, and DDP) from hot beverages using a model solution. The extraction and preconcentration technique used was ultrasound-vortex-assisted dispersive liquid-liquid microextraction (UVA-DLLME) followed by gas chromatographic analysis obtaining recoveries from 66.7% to 101.2% with precision and reproducibility <6.3% and <11.1%, respectively. The influence of waiting time, from the dispensing of the drink to its actual consumption, for the extraction of molecules was investigated, obtaining a temporal release profile slightly shifted towards the PAEs with higher molecular weight and vice versa for those with low molecular weight. In addition, the best instrumental parameters to be applied during the analysis of the extracts obtained were established. This optimization was carried out using GC-FID, whereas the analysis of real samples was carried out by means of GC-IT/MS for ultra-trace analysis purposes; limits of detection (LODs) ranging between 0.8 ng mL(-1) and 15.4 ng mL(-1) and limits of quantification (LOQs) from 1.6 ng mL(-1) to 35.8 ng mL(-1), both of them lower than those found by FID, were obtained.
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关键词
UVA-DLLME,residuals,phthalates,GC-FID,GC-IT/MS,coffee,tea,espresso,vending machine
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