Suppr超能文献

在氦纳米液滴中研究的酞菁-氩(n = 1-4)配合物的结构与动力学

Structure and dynamics of phthalocyanine-argonn (n = 1-4) complexes studied in helium nanodroplets.

作者信息

Lehnig Rudolf, Sebree Joshua A, Slenczka Alkwin

机构信息

Institut für Physikalische und Theoretische Chemie, Universität Regensburg, Regensburg, Germany.

出版信息

J Phys Chem A. 2007 Aug 9;111(31):7576-84. doi: 10.1021/jp0708493. Epub 2007 May 12.

Abstract

Van der Waals clusters of phthalocyanine with 1-4 argon atoms formed inside superfluid helium nanodroplets have been investigated by recording fluorescence excitation spectra as well as emission spectra. The excitation spectra feature a multitude of sharp lines when recorded in superfluid helium droplets in contrast to the respective spectra measured in a seeded supersonic beam (Cho et al. Chem. Phys. Lett. 2000, 326, 65). The pickup technique used for doping of the phthalocyanine and the argon into the droplets allows for nondestructive analysis of the cluster sizes. Alternation of the pickup sequence gives information on the binding site of the argon atoms. The investigation of dispersed emission spectra in helium droplets can be used as a special tool for the identification of 0(0)0 transitions within the variety of sharp lines seen in the excitation spectra. Thus, different isomers of the clusters can be distinguished. Moreover, the emission spectra reveal information on dynamic processes such as vibrational predissociation of the van der Waals complexes and interconversion among isomeric species. The binding energy of the phthalocyanine-argon1 complex in helium droplets was estimated to be at most 113 cm-1.

摘要

通过记录荧光激发光谱和发射光谱,对在超流氦纳米液滴内部形成的含有1 - 4个氩原子的酞菁范德华簇进行了研究。与在种子超声束中测量的相应光谱相比,当在超流氦液滴中记录时,激发光谱具有许多尖锐的谱线(Cho等人,《化学物理快报》,2000年,326卷,65页)。用于将酞菁和氩掺杂到液滴中的拾取技术允许对簇尺寸进行无损分析。拾取顺序的改变给出了氩原子结合位点的信息。对氦液滴中分散发射光谱的研究可作为一种特殊工具,用于在激发光谱中看到的各种尖锐谱线内识别0(0)0跃迁。因此,可以区分簇的不同异构体。此外,发射光谱揭示了诸如范德华复合物的振动预解离和异构物种之间的相互转化等动态过程的信息。估计氦液滴中酞菁 - 氩1复合物的结合能至多为113厘米-1。

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