Department of Chemistry, Saveh Branch, Islamic Azad University, Saveh, Iran.
Department of Materials Science and Engineering, K.N. Toosi University of Technology, Tehran, Iran.
Talanta. 2017 May 15;167:470-485. doi: 10.1016/j.talanta.2017.02.049. Epub 2017 Feb 22.
Since the introduction of the molecularly imprinting technology (MIT) in the 1970s, it becomes an emerging technology with the potential for wide-ranging applications in drug determination. With the rise of green chemistry, many researchers began to focus on the application and development of green materials which led to the breakthrough of molecularly imprinted polymers (MIPs) in the green chemistry. Because of the low concentration levels in the human matrices, almost adequate analytical methods should be used for quantification of drugs at the trace levels. In recent years there have been reported benefits of combining MIPs with additional features, e.g. magnetic properties, through the build-up of this type of material on magnetite particles. Magnetic molecularly imprinted polymer (MMIP) is a new material which is composed of magnetic material and non-magnetic polymer material and shares the characteristics of high adsorption capacity to template molecule, special selective recognition ability, and the magnetic adsorption property. These materials have been widely used in the different fields such as chemical, biological and medical science. This review describes the novel configurations and progressive applications of magnetic molecularly imprinted polymers to the drug analysis. Also, the advantages and drawbacks of each methodology, as well as the future expected trends, are evaluated.
自 20 世纪 70 年代分子印迹技术（MIT）问世以来，它已成为一种具有广泛应用潜力的新兴技术，在药物测定方面得到了广泛应用。随着绿色化学的兴起，许多研究人员开始关注绿色材料的应用和开发，这导致了分子印迹聚合物（MIPs）在绿色化学中的突破。由于人类基质中的浓度水平较低，几乎应使用足够的分析方法来定量痕量水平的药物。近年来，已有报道称，通过在磁铁矿颗粒上构建这种材料，可以将 MIPs 与附加特性（例如磁性）结合使用，从而带来好处。磁性分子印迹聚合物（MMIP）是一种新型材料，由磁性材料和非磁性聚合物材料组成，具有对模板分子的高吸附能力、特殊的选择性识别能力和磁性吸附性能等特点。这些材料已广泛应用于化学、生物和医学科学等不同领域。本文综述了磁性分子印迹聚合物在药物分析中的新型结构和渐进应用。此外，还评估了每种方法的优缺点以及未来预期的趋势。
