NER: Novel, High Throughput Continuous Nanoparticle Classifier (CNC)

建议书编号CTS-0210534首席研究员：拉吉夫·K·辛胡，佛罗里达州，盖恩斯维尔传统的颗粒分类方法，如超声波筛分和旋风分离器，不能在亚微米范围内运行。PI提出了一种在纳米范围内进行粒度分类的新方法。该方法是基于在非水悬浮液中同时对带电金属颗粒施加脉冲和连续直流电场。在此设置中，在垂直方向上施加连续的直流场，而在水平方向上施加脉冲直流场。由于带电粒子对脉冲场和连续场的电泳响应不同，粒子速度场将取决于粒子的大小。这一原理被用来对亚微米级颗粒进行分类。

Proposal No. CTS-0210534 Principal Investigator: Rajiv K. SinghU Florida, GainesvilleTraditional methods of particle classification such as ultrasonic sieves and cyclones do not operate in the submicron range. The PI proposes deelopment of a novel method for particle size classification in the nanoscale range. The method is based on simultaneous application of pulsed and continuous DC electric fields on charged metallic particles in non-acqueous suspensions. In this setup, continuous DC fields are applied in the vertical direction, while pulsed DC field is applied in the horizontal direction. because of the difference in the electrophoretic response of charged particles to pulsed and continuous fields, the particle velocity field will be dependent on the particle size. This principle is used to classify submicron size particles.