Laser & Optoelectronics Progress, Volume. 55, Issue 3, 030004(2018)

Application of Illegal Drugs Detection Based on Surface Enhanced Raman Spectroscopy

Shuhua Lu1,2、*, Zhaoming Wang1, and Fang Tian1
Author Affiliations
  • 1 School of Information Technology and Cyber Security, People's Public Security University of China, Beijing 102623, China
  • 2 Key Laboratory of Security Technology and Risk Assessment, Ministry of Public Security, People's Public Security University of China, Beijing 102623, China
  • show less

    Aim

    ing at the status of an increasing spread of illegal drugs which brings severe threats to public security in recent years, it is pointed that technologies of analysis and detection on illicit materials play a vital role in on-site screening and evidence extraction of illegal drugs related events. The application of surface enhanced Raman spectroscopy (SERS) detection in several typical illegal drugs, such as opiates, cocaines, amphetamines, ketamines, and so on, are summarized. Challenges for in-field and real time detection of illegal drugs are analyzed. The SERS is expected to be one of the most popular detection technologies due to its excellent performances, such as sensitivity, accuracy, simple operation, etc. The future development trend of the technology is predicted to be constructing high quality substrate with good robustness, exploring new surfactants and stabilizers, developing a new portable Raman spectrometer with a high signal-noise ratio, and developing intelligent recognition algorithm with good generalization.

    Tools

    Get Citation

    Copy Citation Text

    Shuhua Lu, Zhaoming Wang, Fang Tian. Application of Illegal Drugs Detection Based on Surface Enhanced Raman Spectroscopy[J]. Laser & Optoelectronics Progress, 2018, 55(3): 030004

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: General

    Received: Aug. 30, 2017

    Accepted: --

    Published Online: Sep. 10, 2018

    The Author Email: Lu Shuhua (luhua1021@126.com)

    DOI:10.3788/LOP55.030004

    Topics