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A Portable Spark-Induced Breakdown Spectroscopic (SIBS) Instrument and its Analytical Performance.

Authors
  • Doh, Iyll-Joon1
  • Gondhalekar, Carmen2, 3
  • Patsekin, Valery3
  • Rajwa, Bartek3, 4
  • Hernandez, Keegan5
  • Bae, Euiwon1
  • Paul Robinson, J2, 3
  • 1 1 Applied Optics Laboratory, School of Mechanical Engineering, Purdue University, West Lafayette, IN, USA.
  • 2 2 Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
  • 3 3 Basic Medical Sciences, Purdue University, West Lafayette, IN, USA.
  • 4 4 Bindley Bioscience Center, Purdue University, West Lafayette, IN, USA.
  • 5 5 Miftek Corp, West Lafayette, IN, USA.
Type
Published Article
Journal
Applied Spectroscopy
Publisher
SAGE Publications
Publication Date
Jun 01, 2019
Volume
73
Issue
6
Pages
698–708
Identifiers
DOI: 10.1177/0003702819844792
PMID: 30990055
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

A compact spark-induced plasma spectroscopic device was developed to detect elements used in a variety of applications. The system consists of a spark generator connected to tungsten electrodes, a custom-built delay generator, and two spectrometers that together cover the ultraviolet visible (UV-Vis) range (214-631 nm). The system was evaluated by qualitatively and quantitatively sampling copper standards. Prominent spectral peaks were identified using the NIST database for atomic emissions. The effectiveness of the proposed system was also tested with a lanthanide sample (gadolinium) and provided qualitative identification of the characteristic peaks. A semi-quantitative measurement for silicon and gold was performed using variable amounts of each particulate. Silica microbeads in solution were applied to paper wafers, while gold nanoparticles were sputter-coated onto silicon wafers. Results showed a positive correlation between the intensity of the signal and the concentration of each type of particulate. The variation of signal intensity was investigated to determine the repeatability, and the coefficient of variation was lowered from 60% to 25% after averaging measurements of multiple ablations per observation.

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