Field determination of hazardous chemicals in public security by using a hand-held Raman spectrometer and a deep architecture-search network | |
Dong, Ronglu1,2; Wang, Jinghong3; Weng, Shizhuang3; Yuan, Hecai3; Yang, Liangbao1 | |
刊名 | SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY |
2021-09-05 | |
卷号 | 258 |
关键词 | Raman spectroscopy Hazardous chemical Deep architecture-search network Deep learning Substance identification |
ISSN号 | 1386-1425 |
DOI | 10.1016/j.saa.2021.119871 |
通讯作者 | Weng, Shizhuang(weng_1989@126.com) ; Yang, Liangbao(lbyang@iim.ac.cn) |
英文摘要 | With the advanced development of miniaturization and integration of instruments, Raman spectroscopy (RS) has demonstrated its great significance because of its non-invasive property and fingerprint identification ability, and extended its applications in public security, especially for hazardous chemicals. However, the fast and accurate RS analysis of hazardous chemicals in field test by non-professionals is still challenging due to the lack of an effective and timely spectral-based chemical-discriminating solution. In this study, a platform was developed for the field determination of hazardous chemicals in public security by using a hand-held Raman spectrometer and a deep architecture-search network (DASN) incorporated into a cloud server. With the Raman spectra of 300 chemicals, DASN stands out with identification accuracy of 100% and outweighs other machine learning and deep learning methods. The network feature maps for the spectra of methamphetamine and ketamine focus on the main peaks of 1001 and 652 cm-1, which indicates the powerful feature extraction capability of DASN. Its receiver operating characteristic (ROC) curve completely encloses the other models, and the area under the curve is up to 1, implying excellent robustness. With the well-built platform combining RS, DASN, and cloud server, one test process including Raman measurement and identification can be performed in tens of seconds. Hence, the developed platform is simple, fast, accurate, and could be considered as a promising tool for hazardous chemical identification in public security on the scene. (C) 2021 Published by Elsevier B.V. |
资助项目 | National Science Foundation of China[21974142] ; National Science Foundation of China[32001421] ; Sci-tech Police Project of Anhui Province[201904d07020009] ; Key Research and Development Program of Anhui Province[202004a06020032] ; National Engineering Research Center for AgroEcological Big Data Analysis Application[AE2018004] |
WOS关键词 | ION MOBILITY SPECTROMETRY ; SPECTROSCOPY ; EXPLOSIVES ; DRUGS ; MACHINE |
WOS研究方向 | Spectroscopy |
语种 | 英语 |
出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
WOS记录号 | WOS:000652383800001 |
资助机构 | National Science Foundation of China ; Sci-tech Police Project of Anhui Province ; Key Research and Development Program of Anhui Province ; National Engineering Research Center for AgroEcological Big Data Analysis Application |
内容类型 | 期刊论文 |
源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/122650] |
专题 | 中国科学院合肥物质科学研究院 |
通讯作者 | Weng, Shizhuang; Yang, Liangbao |
作者单位 | 1.Chinese Acad Sci, Hefei Inst Phys Sci, Inst Hlth & Med Technol, Hefei 230031, Peoples R China 2.Univ Sci & Technol China, Hefei 230026, Anhui, Peoples R China 3.Anhui Univ, Natl Engn Res Ctr Agroecol Big Data Anal & Applic, Hefei 230601, Peoples R China |
推荐引用方式 GB/T 7714 | Dong, Ronglu,Wang, Jinghong,Weng, Shizhuang,et al. Field determination of hazardous chemicals in public security by using a hand-held Raman spectrometer and a deep architecture-search network[J]. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY,2021,258. |
APA | Dong, Ronglu,Wang, Jinghong,Weng, Shizhuang,Yuan, Hecai,&Yang, Liangbao.(2021).Field determination of hazardous chemicals in public security by using a hand-held Raman spectrometer and a deep architecture-search network.SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY,258. |
MLA | Dong, Ronglu,et al."Field determination of hazardous chemicals in public security by using a hand-held Raman spectrometer and a deep architecture-search network".SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 258(2021). |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论