A multi-residue method for determining twenty-four endocrine disrupting chemicals in vegetables and fruits using ultrasound-assisted solid–liquid extraction and continuous solid-phase extraction. (January 2021)

• Record Type: Journal Article
• Authors: Hejji, Lamia; Azzouz, Abdelmonaim; Colón, Laura Palacios; Souhail, Badredine; Ballesteros, Evaristo
• Is Part Of: Chemosphere. Volume 263(2021)
• Publication Date: 2021-01
• Subjects: Ultrasound-assisted extraction -- Continuous SPE -- GC–MS -- Endocrine disrupting chemicals -- Vegetables and fruits; Pollution -- Periodicals; Pollution -- Physiological effect -- Periodicals; Environmental sciences -- Periodicals; Atmospheric chemistry -- Periodicals; 551.511
• DOI: 10.1016/j.chemosphere.2020.128158
• Languages: English
• ISSNs: 0045-6535

Abstract

Abstract: In this work, we developed an analytical approach using an ultrasound-assisted extraction (UAE) followed by continuous solid-phase extraction (SPE) and gas chromatography–mass spectrometry (GC–MS) detection in order to determine simultaneously 24 endocrine disrupting chemicals such as alkylphenols, organophosphorus pesticides, parabens, phenylphenols, triclosan and bisphenol A in vegetable and fruit samples. Different variables influencing UAE and SPE performance were optimized in order to maximize removal of the sample matrix and preconcentration of the analytes. The optimized extraction and GC–MS quantitation conditions provided acceptable sensitivity, selectivity, accuracy and precision. Limits of detection spanned the range 0.6–25 ng kg −1, recoveries were near-quantitative and relative standard deviations ranged from 4.5 to 7.6%. The proposed method was used to analyse 11 vegetable samples and 7 fruit samples purchased at various Spanish and Moroccan supermarkets. Most samples contained more than three of the analytes, at levels between 5.8 and 580 ng kg −1 . Graphical abstract: Image 1 Highlights: Monitoring of 24 endocrine disrupting chemicals (EDCs) in fruit and vegetables samples is proposed. This approach is an effective tool to analyse different classes of EDCs in fruits and vegetables. Sample treatment is optimized using a multivariate optimization strategy. Most of the 19 samples analyzed contain some of the EDCs studied. The levels of EDCs found in the samples vary between 5.8 and 580 ng kg −1 .