Suppr超能文献

有机多环芳烃作为半导体纳米粒子的敏化模型染料。

Organic polyaromatic hydrocarbons as sensitizing model dyes for semiconductor nanoparticles.

机构信息

Department of Chemistry, Rutgers, the State University of New Jersey, Newark, NJ 07102,USA.

出版信息

ChemSusChem. 2010 Apr 26;3(4):410-28. doi: 10.1002/cssc.200900233.

Abstract

The study of interfacial charge-transfer processes (sensitization) of a dye bound to large-bandgap nanostructured metal oxide semiconductors, including TiO(2), ZnO, and SnO(2), is continuing to attract interest in various areas of renewable energy, especially for the development of dye-sensitized solar cells (DSSCs). The scope of this Review is to describe how selected model sensitizers prepared from organic polyaromatic hydrocarbons have been used over the past 15 years to elucidate, through a variety of techniques, fundamental aspects of heterogeneous charge transfer at the surface of a semiconductor. This Review does not focus on the most recent or efficient dyes, but rather on how model dyes prepared from aromatic hydrocarbons have been used, over time, in key fundamental studies of heterogeneous charge transfer. In particular, we describe model chromophores prepared from anthracene, pyrene, perylene, and azulene. As the level of complexity of the model dye-bridge-anchor group compounds has increased, the understanding of some aspects of very complex charge transfer events has improved. The knowledge acquired from the study of the described model dyes is of importance not only for DSSC development but also to other fields of science for which electronic processes at the molecule/semiconductor interface are relevant.

摘要

染料与宽带隙纳米结构金属氧化物半导体(包括 TiO(2)、ZnO 和 SnO(2))之间的界面电荷转移过程(敏化)的研究继续在可再生能源的各个领域引起关注,特别是对于染料敏化太阳能电池(DSSC)的开发。本综述的范围是描述过去 15 年来,如何使用从有机多芳烃烃类制备的选定模型敏化剂,通过各种技术阐明半导体表面非均相电荷转移的基本方面。本综述不关注最新或最高效的染料,而是关注芳烃类制备的模型染料在半导体非均相电荷转移的关键基础研究中随着时间的推移是如何被使用的。特别是,我们描述了从蒽、芘、苝和薁制备的模型生色团。随着模型染料-桥-锚化合物的复杂程度的增加,对一些非常复杂的电荷转移事件的某些方面的理解得到了提高。从所描述的模型染料研究中获得的知识不仅对 DSSC 的发展很重要,而且对其他与分子/半导体界面的电子过程相关的科学领域也很重要。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验