2019
DOI: 10.1007/s00604-019-3721-1
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Fluorometric determination of sulfadiazine by using molecularly imprinted poly(methyl methacrylate) nanobeads doped with manganese(II)-doped ZnS quantum dots

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Cited by 12 publications
(2 citation statements)
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“…To evaluate the performance efficiency of the proposed smart QD@MIP in comparison with the QD@NIP, the smart material was applied for the quantification of sulfadiazine in three animal-based food samples: milk, honey and eggs. To conduct this analysis, aliquots of the food samples were pre-treated and enriched with SDZ solutions with known concentrations of 10.0, 30.0 and 60.0 ppm (Table 4); the experiments were performed using a 3.0 mL sample volume and an optimized interaction time and pH [33][34][35][36][37]. The results obtained from the recovery studies were found to be satisfactory for all the food samples investigated.…”
Section: Application Of the Qd@mip In Real Samplesmentioning
confidence: 99%
“…To evaluate the performance efficiency of the proposed smart QD@MIP in comparison with the QD@NIP, the smart material was applied for the quantification of sulfadiazine in three animal-based food samples: milk, honey and eggs. To conduct this analysis, aliquots of the food samples were pre-treated and enriched with SDZ solutions with known concentrations of 10.0, 30.0 and 60.0 ppm (Table 4); the experiments were performed using a 3.0 mL sample volume and an optimized interaction time and pH [33][34][35][36][37]. The results obtained from the recovery studies were found to be satisfactory for all the food samples investigated.…”
Section: Application Of the Qd@mip In Real Samplesmentioning
confidence: 99%
“…This material has many advantages, such as stable chemical properties, special selectivity, high affinity, easy preparation, and so on [11]. In recent decades, MIT has been extensively used in chromatographic separation [12], solid-phase extraction [13], catalysis [14], and binding assays and sensors [15]. Obviously, MIT was the outstanding tool for the separation of active components from Traditional Chinese Medicine.…”
Section: Introductionmentioning
confidence: 99%