Suppr超能文献

通过线扫描拉曼显微光谱快速识别微塑料和纳米塑料。

Rapid identification of micro and nanoplastics by line scan Raman micro-spectroscopy.

作者信息

Wu Qingyi, Xiao Dongyang, Wang Nan, Masia Francesco, Langbein Wolfgang, Li Bei

机构信息

State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Changchun, 130033, China; University of Chinese Academy of Sciences, Beijing, 100049, China.

Hooke Instruments, Changchun, 130033, China.

出版信息

Talanta. 2024 Jan 1;266(Pt 2):125067. doi: 10.1016/j.talanta.2023.125067. Epub 2023 Aug 9.

Abstract

Microplastic pollution has become an environmental problem that cannot be ignored in our society. Raman spectroscopy technology has been widely used in the field of microplastics detection due to its non-contact, non-destructive chemical specificity. Traditional point confocal Raman micro-spectroscopy technology uses single-point detection, resulting in long measurement times to scan the large areas of interest of typical samples. In this paper, we present a line scan confocal Raman micro-spectroscopy tool for fast detection and identification of microplastic particles. We show size and composition identification of particles and imaging over large areas. Compared with point confocal Raman imaging, the line scan confocal Raman technology increases the imaging speed by 1-2 orders of magnitude.

摘要

微塑料污染已成为我们社会中一个不可忽视的环境问题。拉曼光谱技术因其非接触、非破坏性的化学特异性,已在微塑料检测领域得到广泛应用。传统的点共焦拉曼显微光谱技术采用单点检测,导致扫描典型样品的大面积感兴趣区域时测量时间较长。在本文中,我们展示了一种用于快速检测和识别微塑料颗粒的线扫描共焦拉曼显微光谱工具。我们展示了颗粒的尺寸和成分识别以及大面积成像。与点共焦拉曼成像相比,线扫描共焦拉曼技术将成像速度提高了1 - 2个数量级。

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