近红外应力发光材料研究进展

杨秀霞; 涂东

doi:10.37188/CJL.20200364

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近红外应力发光材料研究进展

特邀综述 | 更新时间：2021-02-08

- 近红外应力发光材料研究进展
- Recent Advances of Near-infrared Mechanoluminescent Materials
- 发光学报 2021年42卷第2期页码：136-152
- 作者机构：
  
  1.武汉大学物理科学与技术学院, 湖北武汉 430072
  2.武汉大学苏州研究院, 江苏苏州 215123
- 作者简介：
  
  [ "杨秀霞(1994-), 女, 河南新乡人, 硕士, 2020年于昆明理工大学获得硕士学位, 主要从事长余辉发光材料及应力发光材料的开发及机理的研究。E-mail:xiuxia941129@163.com" ]
  [ "涂东(1986-), 男, 湖北武汉人, 博士, 研究员, 2015年于日本九州大学获得博士学位, 主要从事应力发光材料合成、表征和机理解析等的研究。E-mail:tu-dong@whu.edu.cn" ]
- 基金信息：
  
  江苏省自然科学基金(BK20190212);国家自然科学基金(11804255);国家自然科学基金(12074298)
- DOI：10.37188/CJL.20200364
  中图分类号： O482.31
- 收稿：2020-11-30，
  
  录用：2020-12-14，
  
  纸质出版：2021-02
- 稿件说明：
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杨秀霞, 涂东. 近红外应力发光材料研究进展[J]. 发光学报, 2021,42(2):136-152.

Xiu-xia YANG, Dong TU. Recent Advances of Near-infrared Mechanoluminescent Materials[J]. Chinese Journal of Luminescence, 2021, 42(2): 136-152.
杨秀霞, 涂东. 近红外应力发光材料研究进展[J]. 发光学报, 2021,42(2):136-152. DOI： 10.37188/CJL.20200364.

Xiu-xia YANG, Dong TU. Recent Advances of Near-infrared Mechanoluminescent Materials[J]. Chinese Journal of Luminescence, 2021, 42(2): 136-152. DOI： 10.37188/CJL.20200364.

摘要

应力发光材料因在应力传感、光学信息存储、生物成像显示、防伪等领域的潜在应用，引起了广大科研工作者的关注。但是，目前已知该材料的发光大多集中在可见光波段范围，这极大地限制了其更广阔的应用；而近红外应力发光材料由于不受明亮环境的干扰以及具有良好的生物组织透过性，逐渐步入科研工作者的视野，成为一类重要的应力发光材料。本文主要综述了近红外应力发光材料的最新研究进展，并对其未来研究方向提出了展望。

Abstract

Mechanoluminescent(ML) materials have extensively applications in stress sensing

optical information storage

bioimaging display

anti-counterfeiting and other fields. Thus

they have drawn increasing attention of the researchers over the world. Up to now

the development of ML materials has mostly focused on the visible range

which greatly limited the relative applications and development. Near-infrared(NIR) ML materials can avoid the interference of ambient light and have good biological tissue permeability

which gradually attract the attention of researchers and have become an important class of ML materials. This paper mainly discusses on the emission mechanism and current progress of NIR ML materials

and proposes prospects for their future research directions.

关键词

Keywords

references

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