Kumar Rahul, Binetti Leonardo, Nguyen T Hien, Alwis Lourdes S M, Agrawal Arti, Sun Tong, Grattan Kenneth T V
School of Mathematics, Computer Science and Engineering, City University of London, London, EC1V 0HB, United Kingdom.
School of Engineering and The Built Environment, Edinburgh Napier University, Edinburgh, EH10 5DT, United Kingdom.
Sci Rep. 2019 Nov 25;9(1):17469. doi: 10.1038/s41598-019-53621-4.
Knowledge of the distribution of the aspect ratios (ARs) in a chemically-synthesized colloidal solution of Gold Nano Rods (GNRs) is an important measure in determining the quality of synthesis, and consequently the performance of the GNRs generated for various applications. In this work, an algorithm has been developed based on the Bellman Principle of Optimality to readily determine the AR distribution of synthesized GNRs in colloidal solutions. This is achieved by theoretically fitting the longitudinal plasmon resonance of GNRs obtained by UV-visible spectroscopy. The AR distribution obtained from the use of the algorithm developed have shown good agreement with those theoretically generated one as well as with the previously reported results. After bench-marking, the algorithm has been applied to determine the mean and standard deviation of the AR distribution of two GNRs solutions synthesized and examined in this work. The comparison with experimentally derived results from the use of expensive Transmission Electron Microscopic images and Dynamic Light Scattering technique shows that the algorithm developed offers a fast and thus potentially cost-effective solution to determine the quality of the synthesized GNRs specifically needed for many potential applications for the advanced sensor systems.
了解化学合成的金纳米棒(GNRs)胶体溶液中纵横比(ARs)的分布情况,是衡量合成质量的一项重要指标,进而也能反映出为各种应用所制备的GNRs的性能。在这项工作中,基于贝尔曼最优性原理开发了一种算法,用于快速确定胶体溶液中合成的GNRs的AR分布。这是通过对紫外可见光谱法获得的GNRs纵向等离子体共振进行理论拟合来实现的。使用所开发算法得到的AR分布与理论生成的分布以及先前报道的结果显示出良好的一致性。经过基准测试后,该算法已被应用于确定在这项工作中合成并检测的两种GNRs溶液的AR分布的均值和标准差。与使用昂贵的透射电子显微镜图像和动态光散射技术得出的实验结果进行比较表明,所开发的算法为确定先进传感器系统许多潜在应用中特别需要的合成GNRs的质量提供了一种快速且因此可能具有成本效益的解决方案。