基于超分子主体的电化学及荧光传感体系的构建及其在农药和药物分子检测中的应用研究

发布时间：2018-04-27 17:07

本文选题：荧光传感器 + 电化学传感器　；参考：《云南大学》2016年硕士论文

【摘要】：荧光传感器和电化学传感器作为分析检测的方法,与传统的高效液相色谱分析法、气相色谱分析法相比,有其很大的优点,如操作简单、成本低廉、易于设备微型化,可用于实际监测,并且还具有检测快速、灵敏、选择性好等优点,目前已经成为痕量快速检测领域的研究热点,近年来广泛应用于分析检测的各个领域。本文通过利用β-环糊精(β-CD)和磺酸化杯[6]芳烃(SCX6)的超分子识别作用,以及石墨烯(RGO)纳米材料的荧光猝灭特性和吸附及高导电性,制备出超分子与石墨烯的复合物,通过制备的复合物构建出检测农药烯酰吗啉和药物他达拉非及拉贝洛尔的荧光分析传感器和电化学传感器。本论文主要研究内容如下：(1)通过湿法制备SS-β-CD与石墨烯的复合物,并通过二维核磁ROESY谱确定SS-p-CD对烯酰吗啉的包合模式。利用主客体分子识别机理,选用染料ST和SS-p-CD功能化的石墨烯作为信号转化媒介,建立了检测烯酰吗啉的荧光分析方法,并通过分子对接技术确定了主客体识别的机制。此荧光分析传感器的线性范围为0.50-20.0μM和20.0-32.0μM,该方法检测烯酰吗啉的检出限为0.125μM。(2)比较了SCX6和p-CD功能化的石墨烯纳米材料对他达拉非的识别能力。在此研究中,β-CD和SCX6芳烃作为主体分子,而他达拉非作为客体分子。SCX6和β-CD功能化的石墨烯纳米材料通过湿化学法制备。对于他达拉非分子,由于SCX6比β-CD具有更高的识别能力,所以SCX6@RGO的电化学响应高于β-CD@RGO。本文利用了RGO和SCX6的优点,通过SCX6@RGO建立一种灵敏检测他达拉非的电化学传感器。该方法的线性范围为0.1-50.0μM和50.0-1000.0μM,检出限为0.045μM。(3)通过一种简单加热回流的方法制备出石墨烯、二氧化锰(Mn02)和SCX6三种物质的复合物,其中石墨烯、MnO2和SCX6三者都具有荧光猝灭的特性,SCX6还具有对拉贝洛尔的分子识别作用,并通过二维核磁分析和分子对接技术确定了拉贝洛尔与SCX6的包合模式。本文利用主客体识别机理,以荧光染料R6G、MnO2@RGO-SCX6构建起检测拉贝洛尔的荧光分析方法。该方法的线性范围为1.0-12.0μM和12.0-18.0μM,其检出限为0.251μM。本论文研究的结果为农药和药物分子的快速检测提供了新的方法
[Abstract]:Compared with traditional high performance liquid chromatography and gas chromatographic analysis, fluorescence sensor and electrochemical sensor have many advantages, such as simple operation, low cost and easy to miniaturize. It can be used in practical monitoring, and has the advantages of fast detection, sensitivity, good selectivity and so on. At present, it has become a hot spot in the field of trace rapid detection. In recent years, it has been widely used in various fields of analysis and detection. The complex of supramolecular and graphene was prepared by using the supramolecular recognition of 尾 -cyclodextrin (尾 -CD) and calix [6] arene sulfonic acid (SCX6) as well as the fluorescence quenching, adsorption and high conductivity of graphene RGO-based materials. The fluorimetric and electrochemical sensors for the detection of pesticide enylmorpholine, tadalafil and Labe lol were constructed. The main contents of this thesis are as follows: (1) the complex of SS- 尾 -CD and graphene was prepared by wet method, and the inclusion mode of SS-p-CD for allyl morpholine was determined by two-dimensional NMR ROESY spectra. Based on the molecular recognition mechanism of host and guest, the graphene functionalized by dye St and SS-p-CD was selected as the signal transformation medium, and the fluorescence analysis method for the detection of allyl morpholine was established, and the recognition mechanism of host and guest was determined by molecular docking technique. The linear range of the fluorescence sensor is 0.50-20.0 渭 M and 20.0-32.0 渭 M. the detection limit of the method is 0.125 渭 M. the ability of SCX6 and p-CD functionalized graphene nanomaterials to recognize tadalafil is compared. In this study, 尾 -CD and SCX6 aromatics were used as host molecules, while tadalafil as guest molecules. SCX6 and 尾 -CD functionalized graphene nanomaterials were prepared by wet chemical method. For tadalafil, the electrochemical response of SCX6 is higher than that of 尾 -CDR because of its higher recognition ability than 尾 -CD. Based on the advantages of RGO and SCX6, a sensitive electrochemical sensor for the detection of tadalafil was developed by SCX6@RGO. The linear range of this method is 0.1-50.0 渭 M and 50.0-1000.0 渭 M, and the detection limit is 0.045 渭 M. ~ (3). The complexes of graphene, manganese dioxide Mn02) and SCX6 were prepared by a simple reflux method. Among them, both graphene MNO _ 2 and SCX6 have the characteristics of fluorescence quenching. SCX6 also has molecular recognition to Labe Lorol. The inclusion mode of Labe Lorol and SCX6 is determined by two-dimensional NMR analysis and molecular docking technique. Based on the mechanism of host and guest recognition, a fluorescence analysis method for the detection of Labe Lorol was constructed by using fluorescent dye R6GUMNO 2 @ RGO-SCX6. The linear ranges of the method are 1.0-12.0 渭 M and 12.0-18.0 渭 M, and the detection limit is 0.251 渭 M. The results of this paper provide a new method for rapid detection of pesticides and drug molecules.
【学位授予单位】：云南大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：O657

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