2019
DOI: 10.1016/j.foodchem.2019.124958
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Diagnostic detection systems and QuEChERS methods for multiclass pesticide analyses in different types of fruits: An overview from the last decade

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Cited by 46 publications
(16 citation statements)
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“…cicla (Swiss chard), and Solanum tuberosum (potato) were analyzed for the presence of 16 selected organochlorine pesticide residues using the Quick Easy Cheap Effective Rugged and Safe (QuEChERS) extraction technique followed by determination/quantitation using gas chromatography coupled to high‐resolution time‐of‐flight mass spectrometry (GC‐HRT/MS). The QuEChERS method is the most effective method in analysis of pesticides in food sources (Alcântara et al, 2019 ; Lehotay et al, 2010 ; Musarurwa et al., 2019 ; Santana‐Mayor et al., 2019 ). Human risk assessment studies were also done to determine any potential risks to an average person consuming the vegetables.…”
Section: Introductionmentioning
confidence: 99%
“…cicla (Swiss chard), and Solanum tuberosum (potato) were analyzed for the presence of 16 selected organochlorine pesticide residues using the Quick Easy Cheap Effective Rugged and Safe (QuEChERS) extraction technique followed by determination/quantitation using gas chromatography coupled to high‐resolution time‐of‐flight mass spectrometry (GC‐HRT/MS). The QuEChERS method is the most effective method in analysis of pesticides in food sources (Alcântara et al, 2019 ; Lehotay et al, 2010 ; Musarurwa et al., 2019 ; Santana‐Mayor et al., 2019 ). Human risk assessment studies were also done to determine any potential risks to an average person consuming the vegetables.…”
Section: Introductionmentioning
confidence: 99%
“…In 2003, Anastassiades et al developed a fast, reliable, and relatively easy extraction method that uses little solvent and minimal collection vessels to provide acceptable analyte recovery for a wide range of pesticides in various foods, using QuEChERS (An et al, 2020;Anastassiades et al, 2003;Budak et al, 2020;Cao et al, 2015;Costa et al, 2014;He et al, 2015;Lima et al, 2017;Rejczak & Tuzimski, 2017;Rizzetti et al, 2016;. This method mainly involves salting-out assisted Liquid-liquid extraction (LLE) with acetonitrile followed by a dispersive solid-phase extraction (d-SPE) cleanup (Alcantara et al, 2019;Martinez-Dominguez et al, 2015). The 'd-SPE' step is very important because it can remove co-extractives, minimizes matrix effects (MEs), and helps ensure the integrity of the chromatographic system (Musarurwa et al, 2019;Varela-Martinez et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…For pesticides, this trend has been initiated about 20 years ago, whereas in the last 10 years, this approach has been more and more applied also in the field of veterinary drugs and mycotoxins. [1][2][3][4][5][6] The next step seems to be the optimization of multi-group procedures encompassing, for example, environmental pollutants and veterinary drugs in food at one time. The higher number of analytes (from dozens to hundreds) and the very different types of involved matrices (e.g., food of animal and vegetal origin) hamper at present the possibility that multi-group methods can also assure quantitative results that are needed to verify the product compliance with the relevant specification limits.…”
Section: Introductionmentioning
confidence: 99%
“…Accordingly, a remarkable effort has been made to progressively replace single class with multiclass protocols, because this is a cost‐effective way to improve the efficiency and efficacy of the current official system of residue control, ensuring the determination of a wide number of compounds with only few methods. For pesticides, this trend has been initiated about 20 years ago, whereas in the last 10 years, this approach has been more and more applied also in the field of veterinary drugs and mycotoxins 1–6 . The next step seems to be the optimization of multi‐group procedures encompassing, for example, environmental pollutants and veterinary drugs in food at one time.…”
Section: Introductionmentioning
confidence: 99%