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This research aims to develop a precise and efficient dispersive solid-phase microextraction (DSPE) technique using third-generation polyamidoamine (PAMAM) dendrimer-grafted nanoparticles to quantify benzoylurea pesticides in green tea, black tea, and oolong tea infusions. The extraction efficiency is optimized through single-factor adjustments of key parameters, including adsorbent quantity (5-20 mg), adsorption duration (5-20 min), desorbent identity (methanol, acetonitrile), volume (100-600 μL), sodium chloride concentration (0-10%, m/v), and sample solution pH (3-8). The optimized method demonstrates linearity in the range of 2-500 μg L-1, with limits of detection (LODs) ranging from 0.6-1.5 μg L-1 and limits of quantification (LOQs) from 2.0 5.0 μg L-1. Recovery rates of 81.2-96.0% are achieved, with intra-day relative standard deviations (RSDs) of 1.4-2.8% and inter-day relative standard deviations of 2.0-3.9%, indicating high accuracy and repeatability. The successful application of detecting residues in commercial tea samples underscores the strong potential of the technique to determine benzoylurea analyte levels. solidphase solid phase DSPE (DSPE thirdgeneration third generation PAMAM (PAMAM dendrimergrafted dendrimer grafted infusions singlefactor single factor parameters 520 5 20 (5-2 mg, mg , mg) min, min min) methanol, methanol (methanol acetonitrile, acetonitrile acetonitrile) 100600 100 600 (100-60 μL, μL μL) 010%, 010 0 10%, 10 (0-10% m/v, mv m/v m v m/v) 38. 38 3 8 . (3-8) 2500 2 500 2-50 L1, L1 L 1, 1 LODs (LODs 0.61.5 0615 0.6 1.5 6 0.6-1. L- LOQs (LOQs 2. 50 5. L1. 1. 81.296.0% 812960 81.2 96.0% 81 96 81.2-96.0 achieved intraday intra day RSDs (RSDs 1.42.8% 1428 1.4 2.8% 4 1.4-2.8 interday inter 2.03.9%, 2039 3.9%, 9 2.0-3.9% repeatability levels 52 (5- 10060 60 (100-6 010% 01 10% (0-10 (3-8 250 2-5 61 0.61. 061 06 0. 15 0.6-1 296 81.296.0 81296 812 81. 960 96.0 81.2-96. 42 1.42.8 142 14 28 2.8 1.4-2. 03 2.03.9% 203 39 3.9% 2.0-3.9 (5 1006 (100- (0-1 (3- 25 2- 0.61 0.6- 29 81.296. 8129 96. 81.2-96 1.42. 1.4-2 2.03.9 3.9 2.0-3. ( (100 (0- (3 81.296 81.2-9 1.42 1.4- 2.03. 3. 2.0-3 (10 (0 81.29 81.2- 2.03 2.0- (1