Suppr超能文献

硅酸盐矿物洛蒙诺索夫石Na₅Ti₂(Si₂O₇)(PO₄)O₂的振动光谱研究

A vibrational spectroscopic study of the silicate mineral lomonosovite Na₅Ti₂(Si₂O₇)(PO₄)O₂.

作者信息

Frost Ray L, López Andrés, Theiss Frederick L, Graça Leonardo M, Scholz Ricardo

机构信息

School of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty, Queensland University of Technology, GPO Box 2434, Brisbane, Queensland 4001, Australia.

School of Chemistry, Physics and Mechanical Engineering, Science and Engineering Faculty, Queensland University of Technology, GPO Box 2434, Brisbane, Queensland 4001, Australia.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2015 Jan 5;134:53-7. doi: 10.1016/j.saa.2014.06.005. Epub 2014 Jun 24.

Abstract

The mineral lomonosovite has been studied using a combination of scanning electron microscopy with energy dispersive X-ray analysis and vibrational spectroscopy. Qualitative chemical analysis gave Si, P, Na and Ti as the as major elements with small amounts of Mn, Ca, Fe and Al. The mineral lomonosovite has a formula Na₅Ti₂(Si₂O₇)(PO₄)O₂. Raman bands observed at 909, 925 and 939 cm(-1) are associated with phosphate units. Raman bands found at 975, 999, 1070, 1080 and 1084 cm(-1) are attributed to siloxane stretching vibrations. The observation of multiple bands in both the phosphate stretching and bending regions supports the concept that the symmetry of the phosphate anion in the structure of lomonosovite is significantly reduced. Infrared spectroscopy identifies bands in the water stretching and bending regions, thus suggesting that water is involved with the structure of lomonosovite either through adsorption on the surface or by bonding to the phosphate units.

摘要

利用扫描电子显微镜结合能量色散X射线分析和振动光谱对矿物氯铅矿进行了研究。定性化学分析表明,硅、磷、钠和钛是主要元素,还有少量的锰、钙、铁和铝。氯铅矿的化学式为Na₅Ti₂(Si₂O₇)(PO₄)O₂。在909、925和939 cm⁻¹处观察到的拉曼谱带与磷酸盐单元有关。在975、999、1070、1080和1084 cm⁻¹处发现的拉曼谱带归因于硅氧烷的伸缩振动。在磷酸盐伸缩和弯曲区域观察到多个谱带,这支持了氯铅矿结构中磷酸根阴离子对称性显著降低的观点。红外光谱在水的伸缩和弯曲区域识别出谱带,因此表明水通过吸附在表面或与磷酸盐单元结合而参与氯铅矿的结构。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验