Sauter C, Emin M A, Schuchmann H P, Tavman S
Institute of Process Engineering in Life Sciences, Department of Food Process Engineering, Karlsruhe University (TH), Kaiserstrasse 12, D-76131 Karlsruhe, Germany.
Food Engineering Department, Faculty of Engineering, Ege University, 35100 Izmir, Turkey.
Ultrason Sonochem. 2008 Apr;15(4):517-523. doi: 10.1016/j.ultsonch.2007.08.010. Epub 2007 Sep 19.
In most applications, nanoparticles are required to be in a well-dispersed state prior to commercialisation. Conventional technology for dispersing particles into liquids, however, usually is not sufficient, since the nanoparticles tend to form very strong agglomerates requiring extremely high specific energy inputs in order to overcome the adhesive forces. Besides conventional systems as stirred media mills, ultrasound is one means to de-agglomerate nanoparticles in aqueous dispersions. In spite of several publications on ultrasound emulsification there is insufficient knowledge on the de-agglomeration of nanoparticulate systems in dispersions and their main parameters of influence. Aqueous suspensions of SiO2-particles were stressed up to specific energies EV of 10(4) kJ/m3 using ultrasound. Ultrasonic de-agglomeration of nanoparticles in aqueous solution is considered to be mainly a result of cavitation. Both hydrostatic pressure of the medium and the acoustic amplitude of the sound wave affect the intensity of cavitation. Furthermore, the presence of gas in the dispersion medium influences cavitation intensity and thus the effectiveness of the de-agglomeration process. In this contribution both, the influence of these parameters on the result of dispersion and the relation to the specific energy input are taken into account. For this, ultrasound experiments were carried out at different hydrostatic pressure levels (up to 10 bars) and amplitude values (64-123 microm). Depending on the optimisation target (time, energy input,...) different parameters limit the dispersion efficiency and result. All experimental results can be explained with the specific energy input that is a function of the primary input parameters of the process.
在大多数应用中,纳米颗粒在商业化之前需要处于良好分散的状态。然而,将颗粒分散到液体中的传统技术通常并不充分,因为纳米颗粒往往会形成非常强的团聚体,需要极高的比能量输入才能克服粘附力。除了像搅拌介质磨这样的传统系统外,超声是使纳米颗粒在水性分散体中解聚的一种方法。尽管有几篇关于超声乳化的出版物,但对于分散体中纳米颗粒系统的解聚及其主要影响参数仍缺乏足够的了解。使用超声对SiO2颗粒的水性悬浮液施加高达10(4) kJ/m3的比能量EV。纳米颗粒在水溶液中的超声解聚被认为主要是空化作用的结果。介质的静水压力和声波的声幅都会影响空化强度。此外,分散介质中气体的存在会影响空化强度,从而影响解聚过程的有效性。在本论文中,考虑了这些参数对分散结果的影响以及与比能量输入的关系。为此,在不同的静水压力水平(高达10巴)和声幅值(64 - 123微米)下进行了超声实验。根据优化目标(时间、能量输入等),不同的参数会限制分散效率和结果。所有实验结果都可以用比能量输入来解释,比能量输入是该过程主要输入参数的函数。