CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 13446 > Article
Paper
12 December 2024 Nanoparticle-enhanced laser-induced breakdown spectroscopy combined with support vector regression on the quantification of sr element
Xu Xu, Yingying Li, Xiaolin Yin, Yan Meng, Fang Dong
Author Affiliations +
Proceedings Volume 13446, Sixth International Conference on Optoelectronic Science and Materials (ICOSM 2024); 1344615 (2024) https://doi.org/10.1117/12.3053035
Event: 6th International Conference on Optoelectronic Science and Materials (ICOSM 2024), 2024, Hefei, China
Abstract
To improve the precision of laser-induced breakdown spectroscopy (LIBS) for detecting Sr in solutions, the study employs nanoparticle-enhanced laser-induced breakdown spectroscopy (NELIBS) technique. Nanogold particles (Au NPs) are introduced into the test solution, and their impact on the LIBS is analyzed. The study investigates the influence of Au NPs on various parameters such as spectral intensity, plasma electron temperature, electron density, etc. The results indicated that by incorporating gold nanoparticles, the enhancement factor reached 10 at low concentrations and 2.5 at higher concentrations, thereby improving the spectral signal intensity of Sr elements. The coefficient of determination (R2) of the calibration curve improved from 0.925 to 0.963. The spectral intensity's RSD underwent a notable reduction, shifting from 40.808% to 17.394%, and the root mean square error (RMSEP) of the predicted concentration improved, falling from 7.859 to 4.082. Therefore, NELIBS improves the accuracy of R2 of the calibration curve and the quantitative analysis results. Support vector regression (SVR) is employed for the quantitative analysis of Sr element content in NELIBS samples, yielding an R2 of 0.984 and RMSEP of 3.949. Compared to the external standard method, the relative error between the predicted concentration and the true concentration of the samples is reduced under SVR.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Xu Xu, Yingying Li, Xiaolin Yin, Yan Meng, and Fang Dong "Nanoparticle-enhanced laser-induced breakdown spectroscopy combined with support vector regression on the quantification of sr element", Proc. SPIE 13446, Sixth International Conference on Optoelectronic Science and Materials (ICOSM 2024), 1344615 (12 December 2024); https://doi.org/10.1117/12.3053035
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 10 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Strontium
Laser induced breakdown spectroscopy
Nanoparticles
Plasma
Chemical elements
Quantitative analysis
Gold nanoparticles
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top