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基于分子印迹模拟新型受体及其在 2,4-二氯苯酚作为食品污染物的电位评估中的应用。

Mimicking new receptors based on molecular imprinting and their application to potentiometric assessment of 2,4-dichlorophenol as a food taint.

机构信息

Department of Pharmaceutical Analytical Chemistry, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt.

Department of Chemistry, Faculty of Science, Ain Shams University, 11566 Abbasia, Cairo, Egypt.

出版信息

Food Chem. 2018 Jun 1;250:188-196. doi: 10.1016/j.foodchem.2018.01.014. Epub 2018 Jan 6.

DOI:10.1016/j.foodchem.2018.01.014
PMID:29412910
Abstract

Innovative host-tailored polymers were prepared, characterized and used as recognition elements in potentiometric transducers for the selective quantification of 2,4-dichlorophenol (DCP).The polymer beads were synthesized using DCP as a template molecule, acrylamide (AM),methacrylic acid (MAA) and ethyl methacrylate (EMA) as functional monomers and divinylbenzene (DVB) and ethylene glycol dimethacrylate (EGDMA) as cross-linkers. The sensors were fabricated by the inclusion of MIPs in plasticized polyvinyl chloride (PVC) matrix. Response characteristics of the proposed sensors revealed anionic slopes of -59.2, -49.7 and -80.6 mV/decade with detection limits of 5.6 × 10,5.9 × 10 and 13.2 × 10 mol/L for MIP/AM/DVB, MIP/MAA/DVB and MIP/EMA/EGDMA membrane based sensors, respectively. Good selectivity was observed over common inorganic/organic anions. Validation of the assay method according to IUPAC recommendations was justified ensuring the synthesis of good reliable novel sensors for DCP determination. The method was successfully applied for routine analysis of food taint in fish and fish farms water samples.

摘要

制备了创新的宿主定制聚合物,并对其进行了表征,将其用作用于选择性定量测定 2,4-二氯苯酚(DCP)的电势传感器中的识别元件。使用 DCP 作为模板分子,丙烯酰胺(AM),甲基丙烯酸(MAA)和乙基甲基丙烯酸酯(EMA)作为功能单体,二乙烯基苯(DVB)和乙二醇二甲基丙烯酸酯(EGDMA)作为交联剂合成聚合物珠。通过将 MIP 包含在增塑聚氯乙烯(PVC)基质中来制造传感器。所提出的传感器的响应特性显示出阴离子斜率为-59.2、-49.7 和-80.6 mV/decade,检测限分别为 5.6×10、5.9×10 和 13.2×10 mol/L,用于 MIP/AM/DVB、MIP/MAA/DVB 和 MIP/EMA/EGDMA 膜基传感器。在常见的无机/有机阴离子中观察到良好的选择性。根据 IUPAC 建议验证分析方法是合理的,确保合成了用于 DCP 测定的可靠新型传感器。该方法成功地应用于鱼类和鱼类养殖场水样中食品污染的常规分析。

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