The quantification of pesticides from oil matrices is a challenging analytical task because of the high triglyceride content of the samples (100%) and the possible presence of lipophilic analytes. The most often used techniques for extraction and clean-up are liquid–liquid partitioning with acetonitrile or an acetonitrile-hexane mixture, followed by gel-permeation chromatography or solid-phase extraction (SPE) (Li et al., 2009; Muccio et al., 2006). However, in recent times, pesticide analysis has seen an increasing need for multi-residue methods, leading to the development of versatile multi-analyte sample preparation methodologies.
Several multi-residue methods have been reported for the measurement of pesticides, particularly in fruits and vegetables (Soler et al., 2005; Kmell et al., 2008; Zhao et al., 2004). The QuEChERS method, which stands for Quick, Easy, Cheap, Effective, Rugged, and Safe, was introduced in 2003 by Anastassiades et al. (2003) for the determination of pesticide residues in various food products. The method was mainly based on a salt-out acetonitrile extraction followed by a dispersive solid-phase extraction (d-SPE) clean-up procedure using a primary-secondary amine (PSA) sorbent and anhydrous MgSO₄.
The European Union Standards (EU), Food and Agriculture Organization of the United Nations (FAO), and the World Health Organization (WHO) have defined Maximum Residue Limits (MRL) in edible oils for various pesticide residues in the range of 0.002–2.0 mg/kg. However, MRL values for pesticides in edible oils have not yet been formulated in several countries, including India (Pragney et al., 2014).
According to the International Union of Pure and Applied Chemistry (IUPAC, 2009), recovery is defined as the proportion of the amount of analyte present in or added to the analytic portion of the test material that is extracted and presented for measurement. In pesticide analysis, recovery values are considered acceptable between 70-120% for routine analysis, as recommended by the Codex Alimentarius guidelines (Khay et al., 2009) and EU Commission guidelines. Poor recovery and high recovery values have been reported in some studies due to the interference of the food matrix and the high-fat content of samples (Argauer et al., 1997; Przybylski and Segard, 2009).
Some authors (Doong and Lee, 1999; Serrano R et al., 2003) have reported that matrix interference can be reduced through clean-up procedures, leading to good recoveries even from high-fat foods. Subsequently, the QuEChERS method was modified for the analysis of high oil-content matrices, particularly avocado or olive oils (Cunha et al., 2007). However, a literature survey reveals that vegetable oils (with the exception of olive oil) have not been thoroughly investigated using the QuEChERS approach (Ferreret et al., 2005; Cunha et al., 2007).
The evaluation of different combinations of sorbents, such as PSA, C18, and GCB, for the dispersive SPE (d-SPE) step of the QuEChERS procedure has been reported (Rajski et al., 2013). The aim of the present study is to evaluate the analytical performance and applicability of the proposed modified QuEChERS method on sunflower oil matrices using dispersive-SPE (d-SPE) clean-up sorbent combinations and their effects on method performance parameters such as recovery studies and limit of detection (LOD).
However, for sunflower oil matrices containing large amounts of pigment and fats, which can interfere with the analysis, activated charcoal could play a significant role in eliminating pigments in the extract. In the present work, the QuEChERS method was further modified in the d-SPE clean-up step by using activated charcoal to improve recovery values.