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A 2-D nanoparticle sorter: towards an 'on-chip' quantification and full characterization of nanoparticles

机译:2-D纳米粒子分选机:朝向“片上”的量化和纳米颗粒的全部表征

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In the context of the extensive use of engineered nanomaterials (ENMs) in consumer products, industrial applications and nanomedicine, there is an important need of new methods for an exhaustive characterization of their physico-chemical properties. Among them, surface hydrophobicity is considered as a key factor to be controlled, in particular for nanomedicine applications. The proposed study demonstrates the proof-of-concept of an inexpensive characterization process, enabling the sorting of ENMs according to their hydrophobicity and surface charge, together with the classical characterization of size and shape. The detection platform is based on the use of a surface modified through plasma polymer and layer-by-layer polyelectrolyte deposition in order to generate areas of tuned surface properties to bind ENMs selectively by hydrophobic forces and electrostatic interactions. The key advantages of such a device is the decrease of time and assay costs thanks to the all-in-one characterization process and the multiplexing that could replace the use of different methods and expensive equipment to give equivalent results. In this way, the full characterization of NP could be expanded in all the areas covering NP-related applications.
机译:在消费品,工业应用和纳米医生中广泛使用工程纳米材料(ENMS)的背景下,对其物理化学性质的详尽表征具有重要的方法。其中,表面疏水性被认为是待控制的关键因素,特别是对于纳米胺类应用。该拟议的研究表明了廉价表征过程的概念证据,使得根据其疏水性和表面电荷能够与尺寸和形状的经典表征一起排序enm。检测平台基于通过血浆聚合物和层 - 逐层聚电解质沉积的表面使用,以便通过疏水力和静电相互作用产生调节表面性质的区域以选择性地结合益智。由于一体化表征过程和多路复用可以取代不同方法和昂贵设备来提供等效结果,因此这种装置的主要优点是时间和测定成本降低。以这种方式,可以在涵盖NP相关应用的所有区域扩展NP的完整表征。

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