基于磁性载体技术的生物体系固相萃取新技术研究

来源 :全国生物医药色谱及相关技术学术交流会(2012) | 被引量 : 0次 | 上传用户:janyang256
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In 1973,magnetic carrier technology (MCT) was first reported by Robinson,who immobilized enzyme on the surface of magnetic materials to fulfill bio-separation.Fe3O4 magnetic nanoparticles can be modified by various coatings,including metal,metal oxide,and polymers etc.In recent years,our lab is always devoted to the development of novel method and new materials about MCT.The aim is to establish the method with the advantages of fastness,high efficiency,sensitivity and environmental benignity.Three types of methods were used to analyze bioactive components in Traditional Chinese medicine,beverage,and biological samples.As the following showed: (1) mixed hemimicelles solid phase extraction method was applied to pretreat Rhubarb samples.The method was found based on the electrostatic interactions between cetyltrimethylammonium bromide (CTAB) and Fe3O4 magnetic nanoparticles.The results showed that mixed hemimicelles solid phase extraction method has expanded its applications to Chinese medicine filed.(2) Fe3O4 magnetic retrieval of chitosan was used to extract flavonoids from green tea beverage samples,including quercetin,kaempferol,isorhamnetin and luteolin.First,chitosan was directly spiked into sample solution to extract flavonoids; second,after complete the extraction process,Fe3O4 magnetic nanoparticles were added to retrieve chitosan.The proposed method was reliable and accurate,which was feasible to the analysis of flavonoids in green tea beverage.(3) Preparation of Fe3O4 nanoparticle enclosure hydroxylated multi-walled carbon nanotubes (Fe3O4-EC-MWCNTs-OH) for the determination of aconitines in human serum samples.The method of chemical coprecipitation was used to prepare the material of Fe3O4-EC-MWCNTs-OH,which combined the MWCNTs-OH embracing good adsorptivity with Fe3O4 nanoparticles having the characteristic of easy separation.The results exhibited that Fe3O4-EC-MWCNTs-OH was applied to the biological sample analysis with relatively complicated matrix.
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