First application of microwave-assisted extraction in the analysis of polybrominated diphenyl ethers in human milk

Dvoršćak, Marija; Jagić, Karla; Besednik, Lucija; Šimić, Iva; Klinčić, Darija

doi:10.1016/j.microc.2022.107447

Cited by 6 publications

(1 citation statement)

References 45 publications

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“…Studies on MAE applied to milk and cheeses were carried out for the extraction and determination of aflatoxins and pesticides [28,29], biogenic amines [30], bioactive peptides [31], and organic acids [32]. Moreover, Dvoršćak et al described for the first time the use of MAE for organic pollutants from human milk samples, highlighting the influence of sample preparation and pretreatment [33]. Pombal et al developed a simple and rapid method for fast quantitation of total fat in cheese samples using a new method based on an innovative MAE [34].…”

Section: Introductionmentioning

confidence: 99%

Microwave-Assisted Extraction/UHPLC-Q-Orbitrap-MS-Based Lipidomic Workflow for Comprehensive Study of Lipids in Soft Cheese

Campaniello,

Nardelli,

Zianni

et al. 2024

Foods

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In this work, Microwave-Assisted Extraction (MAE) was proposed as an alternative and environmentally friendly technique in lipidomics to study the lipid fingerprint of soft cheeses, such as mozzarella. For method development, a first step concerning an evaluation of extraction solvents was carried out via testing three different mixtures, including methanol/ethyl acetate, isopropanol/ethyl acetate, and ethanol/ethyl acetate, at a 1:2 v/v ratio. The latter was chosen as a solvent mixture for subsequent method optimization. MAE conditions, in terms of solvent volume, time, and temperature, were explored to define their effects on extraction capability through a full factorial experimental design. The best compromise to extract more lipids at the same time was obtained with 24 mL g−1 for solvent-to-solid ratio, 65 °C for temperature, and 18 min for time. Lipid analyses were conducted by UHPLC-Q-Orbitrap-MS associated with multivariate statistics. The developed lipidomic workflow allowed for the extraction of over 400 lipids grouped into 18 different subclasses. The results confirmed that MAE is a suitable technique for lipid extraction in the omics approach with high efficiency, even using low-cost and less toxic solvents. Moreover, a comprehensive structure characterization of extracted lipids, in terms of fatty acid composition and regiochemistry, was carried out.

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