Version 2 2025-05-04, 06:03Version 2 2025-05-04, 06:03
Version 1 2024-12-03, 06:55Version 1 2024-12-03, 06:55
journal contribution
revised on 2025-05-04, 06:02 and posted on 2025-05-04, 06:03authored byAli S. Mohammed, Gouda A. Ramadan, Ahmed I. Abdelkader, Sohair A. Gadalla, Mohsen M. Ayoub, Najat A. Alabdulmalik, Wasan A. AL Baker
<p dir="ltr">A modified QuEChERS method was employed with LC-MS/MS to evaluate the matrix effects of 12 different vegetables matrices in 57 globally used herbicides. The average recoveries of pesticides at different concentrations varied between 70 and 120%. The reproducibility expressed as relative standard deviation was <25%. The limit of quantitation was (0.005–0.01 mg/kg). The measurement uncertainty is lower than 40%. Three vegetables families: Cucurbitaceae, Solanaceae and leafy vegetables were selectd for study. Among the investigated commodities, leafy green vegetables have the highest matrix effects, MEs percentages ranged between (2 & 282%). The highest suppression in analytes response was observed for parsley with matrix ME (2–19%). Most of tested herbicides showed suppression extent at the lower fortified concentrations. Tomato recorded the highest enhancement in most of studied herbicides of MEs% ranged from (122 to 379%). Butachlor, chlorbromuron, fenoxaprop-p-ethyl, flufenacet, fluzafop-p-butyl, hexythiazox, prosulfocarb and pyriproxyfen showed ion suppresion for all vegetables matrices with MEs% ranged from (5 to 79%). Matrix effects (MEs) were evaluated by comparing the slopes of target analytes to prove reproducibility (n = 5). The current study emphasize using of matrix match calibration with these commodity pesticides combinations, whereas, ME’s were dependent on composition of analyte and co-eluting agents.</p><h2>Other Information</h2><p dir="ltr">Published in: Cogent Food & Agriculture<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1080/23311932.2020.1815287" target="_blank">https://dx.doi.org/10.1080/23311932.2020.1815287</a></p>
Funding
Open Access funding provided by the Qatar National Library.