期刊
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
卷 166, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.trac.2023.117197
关键词
Laser -induced breakdown spectroscopy (LIBS); Explosives analysis; Standoff explosive detection; Explosives performance prediction
Laser-induced breakdown spectroscopy (LIBS) has various applications in explosive analysis, including substance identification, rapid analysis speed, and standoff detection. This review summarizes the basic principles, recent development, and applications of LIBS in hazardous explosives, as well as the identification of inorganic and organic explosives, fingerprint identification, and standoff detection.
Explosives analysis has a significant practical application in the areas of national public security, anti-terrorism, stability maintenance, criminal investigation, national defense and military industry, and environmental protection. There may be some restrictions for conventional explosive detection and analytical techniques, such as excessive sample preparation complexity or specific security issues. However, laser-induced breakdown spectroscopy (LIBS) has several promising advantages, including easy sample pretreatment, trace substance identification, rapid analysis speed and standoff detection, and has been used in explosive analysis. This review summarizes the basic principles of LIBS and its development and application in the field of hazardous explosives in recent years. In more detail, it introduces the identification of inorganic and organic explosives under the interference of various substances, fingerprint identification of explosives, and standoff detection of explosives. It also includes using LIBS and laser-induced air shock from energetic materials technique to predict the potential performance of explosives (detonation velocity, the heat of combustion, detonation energy, detonation pressure, etc.). Finally, some future directions for LIBS are proposed. It will help readers to better understand the current research status of the LIBS technique in explosive analysis.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据