Journals Articles Conferences News About CLP
Submit a paper Email Alert
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
2D MaterialsTransformation opticsQuantum PhotonicsSmall lasersSemiconductor UV PhotonicsSupersymmetric microring laser arrays

Chinese Journal of Lasers, Volume. 46, Issue 3, 0311005(2019)

Surface-Enhanced Raman Spectroscopy Quantitative Analysis of Polycyclic Aromatic Hydrocarbons Based on Support Vector Machine Algorithm

Yang Chen*, Xia Yan, Xu Zhang, Xiaofeng Shi, and Jun Ma
Author Affiliations
  • Optics & Optoelectronics Laboratory, Ocean University of China, Qingdao, Shandong 266100, China
    • show less
    AbstractGet PDF(in Chinese)
    Figures&Tables (10)
    Equations (0)
    References (0)
    Cited By (9)
    Tools
    Paper Information
    Topics
    Cited By

    Article index updated: Mar. 11, 2025

    The article is cited by 9 article(s) CLP online library. (Some content might be in Chinese.)
    Tools

    Get Citation

    Copy Citation Text

    Yang Chen, Xia Yan, Xu Zhang, Xiaofeng Shi, Jun Ma. Surface-Enhanced Raman Spectroscopy Quantitative Analysis of Polycyclic Aromatic Hydrocarbons Based on Support Vector Machine Algorithm[J]. Chinese Journal of Lasers, 2019, 46(3): 0311005

    Download Citation

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

    Category: spectroscopy

    Received: Oct. 22, 2018

    Accepted: Dec. 18, 2018

    Published Online: May. 9, 2019

    The Author Email:

    DOI:10.3788/CJL201946.0311005

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology