Hyperspectral depth-profiling with deep Raman spectroscopy for detecting chemicals in building materials,Analyst

当前位置： X-MOL 学术 › Analyst › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

Hyperspectral depth-profiling with deep Raman spectroscopy for detecting chemicals in building materials
Analyst ( IF 3.6 ) Pub Date : 2017-08-15 00:00:00 , DOI: 10.1039/c7an00894e
Youngho Cho _{1,

2,

3,

4} , Si Won Song _{1,

2,

3,

4} , Jiha Sung _{3,

4,

5,

6} , Young-Su Jeong _{4,

7,

8,

9,

10} , Chan Ryang Park _{1,

2,

3,

4} , Hyung Min Kim _{1,

2,

3,

4}

Affiliation

Toxic chemicals inside building materials have long-term harmful effects on human bodies. To prevent secondary damage caused by the evaporation of latent chemicals, it is necessary to detect the chemicals inside building materials at an early stage. Deep Raman spectroscopy is a potential candidate for on-site detection because it can provide molecular information about subsurface components. However, it is very difficult to spectrally distinguish the Raman signal of the internal chemicals from the background signal of the surrounding materials and to acquire the geometric information of chemicals. In this study, we developed hyperspectral wide-depth spatially offset Raman spectroscopy coupled with a data processing algorithm to identify toxic chemicals, such as chemical warfare agent (CWA) simulants in building materials. Furthermore, the spatial distribution of the chemicals and the thickness of the building material were also measured from one-dimensional (1D) spectral variation.

中文翻译：

用深拉曼光谱进行高光谱深度分析以检测建筑材料中的化学物质

建筑材料中的有毒化学物质会对人体产生长期有害影响。为防止潜在化学物质蒸发造成的二次损坏，必须及早检测建筑材料内部的化学物质。深度拉曼光谱法可用于现场检测，因为它可以提供有关地下成分的分子信息。然而，很难从光谱上区分内部化学物质的拉曼信号与周围材料的背景信号，以及获取化学物质的几何信息。在这项研究中，我们开发了高光谱宽深度空间偏移拉曼光谱，结合数据处理算法来识别有毒化学物质，例如建筑材料中的化学战剂（CWA）模拟物。此外，

更新日期：2017-09-25

点击分享查看原文

点击收藏

阅读更多本刊最新论文本刊介绍/投稿指南11