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Surfactant-Template/Ultrasound-Assisted Method for the Preparation of Porous Nanoparticle Lithium Zirconate

超声 吸附 化学工程 材料科学 吸附剂 吸附 肺表面活性物质 多孔性 纳米颗粒 锂(药物) 粒径 纳米技术 化学 有机化学 复合材料 医学 工程类 内分泌学
作者
Hamid R. Radfarnia,Maria Cornelia Iliuta
出处
期刊:Industrial & Engineering Chemistry Research [American Chemical Society]
卷期号:50 (15): 9295-9305 被引量:49
标识
DOI:10.1021/ie102417q
摘要

Porous nanoparticle lithium zirconate (Li 2 ZrO 3 ) was prepared using an ultrasound-assisted surfactant-template method in the liquid-state reaction. The CO 2 adsorption performance of the prepared materials was tested under various conditions and compared with that of Li 2 ZrO 3 prepared by the simple surfactant-template method (porous, without sonication) and the conventional soft-chemistry route. The results indicated a better adsorption rate and capacity of porous nanopowders, whether assisted with ultrasound or not, in comparison with the traditional sample. This behavior is mainly due to a less aggregated powder structure and porous framework, facilitating gas and ion diffusion to and from the particle layers. However, the porous adsorbent prepared without sonication exhibited instability during cyclic operation, limiting its application for long-time use. Sonication time and surfactant concentration were found to be key parameters for controlling the crystallite size and the BET surface area. The porous Li 2 ZrO 3 sample prepared with less surfactant and a shorter irradiation time (sample A) had the most favorable sorption kinetics and capacity among all studied samples. The maximum uptake capacity of 22 wt % for sample A compared to 15.2 wt % for the conventional sample (sample J, fabricated by the soft-chemistry method), obtained under a 100% CO 2 stream, suggested a noticeable improvement in sorption behavior of the proposed adsorbents compared with traditional Li 2 ZrO 3 . Moreover, the adequate cyclic stability of porous powders prepared by sonication identify these materials as promising CO 2 acceptors, particularly for integrated sorbent/catalyst systems such as that used for sorption-enhanced steam methane reforming (SESMR). CO 2 adsorption experimental data for sample A were successfully modeled at various CO 2 partial pressures using a double-exponential equation.
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