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远程LIBS结合拉曼光谱探测系统检测物质成分分布

祝铭 王梦涵 屈军乐

深圳大学学报(理工版)2019,Vol.36Issue(5):538-543,6.
深圳大学学报(理工版)2019,Vol.36Issue(5):538-543,6.DOI:10.3724/SP.J.1249.2019.05538

远程LIBS结合拉曼光谱探测系统检测物质成分分布

A laser induced breakdown spectroscopy and Raman spectroscopy combined remote detection system for material composition analysis

祝铭 1王梦涵 2屈军乐1

作者信息

  • 1. 深圳大学物理与光电工程学院,光电子器件与系统教育部/广东省重点实验室,广东深圳518060
  • 2. 中国科学院深圳先进技术研究院光电工程技术中心,广东深圳518055
  • 折叠

摘要

Abstract

We develop a laser induced breakdown spectroscopy (LIBS) and Raman spectroscopy (RS) combined detection system for remote detection of substance composition.It can scan a 2-dimensional region with scanning accuracy of 2 mm and detect element contents and elementary surface distribution in samples at the maximum distance of 30 m away from the detector.Using our 2-dimensional scanning system,we analyze Fe element distribution on the surface of wollastonite at a distance of 30 m.According to the time difference between LIBS signal and Raman signal,both LIBS and Raman spectrum signals are collected by a gated intensified CCD (ICCD) camera.The experimental result shows that the system can be applied to identify the type of aluminum alloys and also be used in alloy sorting process to save resources and energy.The system can also be applied in remote mineral identification.Molecular information such as C-O,S-O and Si-O stretching patterns can be obtained from Raman spectroscopy analysis of minerals and rocks,thus distinguishing minerals and rocks,i.e.carbonates,sulphates and silicates.

关键词

光学工程/激光诱导击穿光谱/拉曼光谱/远程检测/二维元素分布/矿石成分分析

Key words

optical engineering/laser induced breakdown spectroscopy (LIBS)/Raman spectroscopy (RS)/remote detection/2-dimensional mapping/mineral composition analysis

分类

数理科学

引用本文复制引用

祝铭,王梦涵,屈军乐..远程LIBS结合拉曼光谱探测系统检测物质成分分布[J].深圳大学学报(理工版),2019,36(5):538-543,6.

基金项目

国家自然科学基金资助项目(41603059,31771584) (41603059,31771584)

国家重点研发计划资助项目(2016YFC14000701) (2016YFC14000701)

深圳市基础研究资助项目(JCYJ20160428092445411)National Natural Science Foundation of China (41603059,31771584) (JCYJ20160428092445411)

National Key Research and Development Program of China (2016YFC14000701) (2016YFC14000701)

Shenzhen Basic Research Project (JCYJ20160428092445411) (JCYJ20160428092445411)

深圳大学学报(理工版)

OA北大核心CSCDCSTPCD

1000-2618

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