Suppr超能文献

基于碳纳米管-硅混合结的多功能纳米结构平台:光捕获与气体传感的交汇点。

A cross-functional nanostructured platform based on carbon nanotube-Si hybrid junctions: where photon harvesting meets gas sensing.

机构信息

Surface Science and Spectroscopy Lab @ I-Lamp and Dipartimento di Matematica e Fisica, Università Cattolica del Sacro Cuore, Brescia, Italy.

CNR-INO and Sensor Lab, Dept. of Information Engineering, University of Brescia, Italy.

出版信息

Sci Rep. 2017 Mar 15;7:44413. doi: 10.1038/srep44413.

Abstract

A combination of the functionalities of carbon nanotube (CNT)-Si hybrid heterojunctions is presented as a novel method to steer the efficiency of the photovoltaic (PV) cell based on these junctions, and to increase the selectivity and sensitivity of the chemiresistor gas sensor operated with the p-doped CNT layer. The electrical characteristics of the junctions have been tracked by exposing the devices to oxidizing (NO) and reducing (NH) molecules. It is shown that when used as PV cells, the cell efficiency can be reversibly steered by gas adsorption, providing a tool to selectively dope the p-type layer through molecular adsorption. Tracking of the current-voltage curve upon gas exposure also allowed to use these cells as gas sensors with an enhanced sensitivity as compared to that provided by a readout of the electrical signal from the CNT layer alone. In turn, the chemiresistive response was improved, both in terms of selectivity and sensitivity, by operating the system under illumination, as the photo-induced charges at the junction increase the p-doping of CNTs making them more sensitive to NH and less to NO.

摘要

提出了一种碳纳米管(CNT)-Si 杂化异质结的功能组合,作为一种新方法来控制基于这些结的光伏(PV)电池的效率,并提高与 p 型掺杂 CNT 层一起操作的化学电阻式气体传感器的选择性和灵敏度。通过将器件暴露于氧化(NO)和还原(NH)分子来跟踪结的电特性。结果表明,当用作 PV 电池时,通过气体吸附可以可逆地控制电池效率,从而提供了一种通过分子吸附选择性掺杂 p 型层的工具。在气体暴露时跟踪电流-电压曲线也允许使用这些电池作为气体传感器,与仅从 CNT 层读取电信号提供的灵敏度相比,具有更高的灵敏度。反过来,通过在光照下操作该系统,改善了化学电阻响应的选择性和灵敏度,因为结处的光生电荷增加了 CNT 的 p 掺杂,使它们对 NH 更敏感,对 NO 不那么敏感。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b46e/5353639/5700ded151d0/srep44413-f1.jpg

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