Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 57,
  • Issue 2,
  • pp. 197-207
  • (2003)

Automatic Correction of Continuum Background in Laser-Induced Breakdown and Raman Spectrometry

Not Accessible

Your library or personal account may give you access

Abstract

The goal of this work was the development and evaluation of an algorithm for the approximation and automatic subtraction of continuum backgrounds in laser-induced breakdown and Raman spectra. The background correction algorithm was applied to simple and complex spectra and its effect on identification accuracy was studied. Linear correlation was used for the identification of plastic samples using both laser-induced breakdown and Raman spectra. For both techniques, the algorithm successfully eliminated continuum background without compromising spectral integrity. A significant improvement in the percentage of correct plastic identifications was observed for Raman spectra. The approach should be applicable to a wide range of background correction problems in atomic and molecular spectroscopy.

PDF Article
More Like This
Continuous background correction using effective points selected in third-order minima segments in low-cost laser-induced breakdown spectroscopy without intensified CCD

Jianli Liu, Rui Zhang, Xiaotian Li, Jianjun Chen, Jianan Liu, Jun Qiu, Xun Gao, Jicheng Cui, and Bayan Heshig
Opt. Express 26(13) 16171-16186 (2018)

Experimental investigation on concurrent laser-induced breakdown spectroscopy Raman spectroscopy

F. Matroodi and S. H. Tavassoli
Appl. Opt. 54(3) 400-407 (2015)

Background removal in soil analysis using laser- induced breakdown spectroscopy combined with standard addition method

R. X. Yi, L. B. Guo, X. H. Zou, J. M. Li, Z. Q. Hao, X. Y. Yang, X. Y. Li, X. Y. Zeng, and Y. F. Lu
Opt. Express 24(3) 2607-2618 (2016)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.