Author : Alexa A. Roberts
Publisher :
Page : 78 pages
File Size : 34,90 MB
Release : 2021
Category :
ISBN :
Nanoparticles have a wide range of applications in biomedicine, catalysis, energy, semiconductors, and consumer products, to name a few. Conventionally, batch synthesis of a variety of nanoparticles is achieved using bottom-up (e.g., wet methods, nucleatedgrowth, microbial synthesis) or top-down (e.g., milling) approaches. However, the reactions, especially in bottom-up approaches, could be time and resource intensive when optimizing for the effects of reaction parameters and their interplay on nanoparticle characteristics and purity. Microfluidic platforms could help overcome these limitations by enabling high-throughput reactions, combinatorial approaches, in situ monitoring capabilities, and utilizing fewer reactant volumes. The aim of this study is to optimize the synthesis of three different types of nanomaterials: poly-lactic-co-glycolic acid (PLGA) nanoparticles, gold (AuNPs) nanoparticles, and lead iodide perovskite nanoplatelets (PNPs), using two types of microfluidic mixers: the reverse staggered herringbone (SHB) mixer and S-shaped Dean mixers. The effect of variables such as the inlet flowrate into the device ports, reactant compositions and mole ratios, and mixer type was investigated to identify the optimal synthesis conditions, i.e., the conditions leading to narrow and uniform size distributions, for each type of nanomaterial in these micromixers. The outcomes from these microfluidic mixers were compared to their counterparts from batch synthesis. Future studies could test the applications of such nanoparticles in targeted imaging and drug encapsulation.