Laser-induced breakdown spectroscopy analysis of alloying elements in steel: Partial least squares modeling based on the low-resolution spectra and their first derivatives

التفاصيل البيبلوغرافية
العنوان: Laser-induced breakdown spectroscopy analysis of alloying elements in steel: Partial least squares modeling based on the low-resolution spectra and their first derivatives
المؤلفون: Sehoon Jung, Yonghoon Lee, Song-Hee Han, Sang-Ho Nam, Hyang Kim
المصدر: Optics & Laser Technology. 112:117-125
بيانات النشر: Elsevier BV, 2019.
سنة النشر: 2019
مصطلحات موضوعية: Analyte, Materials science, Spectrometer, Cost effectiveness, 010401 analytical chemistry, Analytical chemistry, Laser, 01 natural sciences, Atomic and Molecular Physics, and Optics, 0104 chemical sciences, Electronic, Optical and Magnetic Materials, law.invention, 010309 optics, Matrix (chemical analysis), law, 0103 physical sciences, Partial least squares regression, Laser-induced breakdown spectroscopy, Electrical and Electronic Engineering, Spectroscopy, Computer Science::Databases
الوصف: One of the unique laser-induced breakdown spectroscopy (LIBS) platforms, a compact device, has been considered for use in various applications because of portability and cost effectiveness. The performance of a simple LIBS device assembled with a compact, low-power, diode-pumped solid-state laser and a miniature, non-gated spectrometer was investigated for analysis of low-alloy steel samples. The low spectral resolution (∼0.9 nm) precluded observation of any single resolved analyte lines for Mn, Cr, Ni, and Ti. However, partial least squares-regression modeling extracted the unresolved spectral features correlated to the analyte concentrations successfully. For the highly congested wavelength regions selected for modeling Ni and Ti concentrations, finding reliable location of baseline to be subtracted was very difficult. This could be circumvented by using the first derivatives of LIBS spectra. Our results indicate that the first derivation of LIBS spectra can be used to further improve the analytical performance of a simple, low-resolution LIBS device. Additionally, this implies that appropriate data preprocessing can assist in downsizing a LIBS spectrometer, especially for the sample with matrix elements showing dense rich emission-line structure.
تدمد: 0030-3992
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::6b2b538a812c97afcc888fe9781d7a26
https://doi.org/10.1016/j.optlastec.2018.11.002
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........6b2b538a812c97afcc888fe9781d7a26
قاعدة البيانات: OpenAIRE