Impacts of meso-structure and organic loadings of fluoroalcohol derivatives/SBA-15 hybrids on nerve agent simulant sensing
Impacts of meso-structure and organic loadings of fluoroalcohol derivatives/SBA-15 hybrids on nerve agent simulant sensing
复制标题
氟代醇衍生物/SBA-15杂化物的介观结构和有机负载量对神经毒剂模拟传感的影响
DOI：
10.1016/j.snb.2013.04.122
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发表时间：
2013-10-01
影响因子：
8.4
通讯作者：
Xu, Jiaqiang
中科院分区：
文献类型：
--
作者：
Li, Huimin;Zheng, Qi;Xu, Jiaqiang
本文采用石英晶体微天平（QCM）测量方法，研究了氟代醇衍生物/SBA-15（一种有序介孔二氧化硅筛）杂化物的介孔结构和有机负载量对神经毒剂模拟物DMMP（甲基膦酸二甲酯）传感行为的影响。通过 SAXS、TEM、N-2 吸附-解吸等温线和元素分析研究了二氧化硅基介孔杂化材料的介观结构和官能团。结果表明，当杂化材料具有相对较高的孔体积和表面积时，可以获得更高的响应值和灵敏度。然而，这种效应仅在介孔杂化材料具有有序的多孔结构时才会出现，这表明有序的介观结构对于制造高性能DMMP传感器至关重要。原因可能是有序的介观结构不仅提供了更多的可接触的HFIP基团，而且有利于分子在多孔结构中的扩散。另一方面，随着氟代醇衍生物用量的增加，HFIP/SBA-15 杂化物与 DMMP 蒸气之间的特异性相互作用大大增强。因此，有机官能团的加入量在决定传感器的选择性方面起着重要作用。 (C) 2013 Elsevier B.V. 保留所有权利。
This paper employed a measurement of quartz crystal microbalance (QCM) to investigate the effects of mesopore structures and amount of organic loadings of fluoroalcohol derivatives/SBA-15 (a kind of ordered mesoporous silica sieve) hybrids on the sensing behavior of nerve agent simulant DMMP (dimethyl methylphosphonate). The meso-structure and functional groups of silica-based mesoporous hybrids were examined by SAXS, TEM, N-2 adsorption-desorption isotherms and elemental analysis. The results show that much higher response value and sensitivity are achieved when the hybrid materials have relative higher pore volume and surface area. However, this effect only appears when the mesoporous hybrids have well-ordered porous structure, indicating that ordered meso-structure is critical in fabricating high-performance DMMP sensors. The reason is likely that the ordered meso-structure not only provides a larger number of contactable HFIP groups, but also facilitates molecules diffusion in porous structure. On the other hand, the specific interaction between HFIP/SBA-15 hybrids and DMMP vapor is greatly enhanced as the amount of fluoroalcohol derivatives increases. Therefore, the amount of organic functional groups incorporated plays an important role in determining the selectivity of sensors. (C) 2013 Elsevier B.V. All rights reserved.