首页> 外文期刊>Biosensors & Bioelectronics: The International Journal for the Professional Involved with Research, Technology and Applications of Biosensers and Related Devices >A novel optical biosensor for direct and selective determination of serotonin in serum by Solid Surface-Room Temperature Phosphorescence
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A novel optical biosensor for direct and selective determination of serotonin in serum by Solid Surface-Room Temperature Phosphorescence

机译:固体表面室温磷光法直接和选择性测定血清中5-羟色胺的新型光学生物传感器

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摘要

This paper describes a novel biosensor which combines the use of nanotechnology (non-woven nano fibre mat) with Solid Surface-Room Temperature Phosphorescence (SS-RTP) measurement for the determination of serotonin in human serum. The developed biosensor is simple and can be directly applied in serum; only requires a simple clean-up protocol. Therefore it is the first time that serotonin is analysed directly in serum with a non-enzymatic technique. This new approach is based on the covalent immobilization of serotonin directly from serum on a functional nanofibre material (Tiss (R)-Link) with a preactivated surface for direct covalent immobilization of primary and secondary amines, and the subsequent measurement of serotonin phosphorescent emission from the solid surface. The phosphorescent detection allows avoiding the interference from any fluorescence emission or scattering light from any molecule present in the serum sample which can be also immobilised on the nanofibre material. The determination of serotonin with this SS-RTP sensor overcomes some limitations, such as large interference from the matrix and high cost and complexity of many of the methods widely used for serotonin analysis.
机译:本文介绍了一种新型生物传感器,该传感器将纳米技术(非织造纳米纤维毡)的使用与固体表面室温磷光(SS-RTP)测量相结合,用于测定人血清中的血清素。开发的生物传感器简单易行,可直接用于血清中。只需要一个简单的清理协议。因此,这是首次使用非酶技术直接在血清中分析血清素。这种新方法的基础是将血清中的血清素直接共价固定在功能纳米纤维材料(Tiss(R)-Link)上,该表面具有预先活化的表面,用于伯胺和仲胺的直接共价固定,并随后测量血清中的血清素磷光固体表面。磷光检测可以避免来自血清样品中存在的任何分子的任何荧光发射或散射光的干扰,这些光也可以固定在纳米纤维材料上。用这种SS-RTP传感器测定5-羟色胺可以克服一些局限性,例如来自基质的大干扰以及许多用于5-羟色胺分析的方法的高成本和复杂性。

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