Improving Calibration Strategy for LIBS Heavy Metals Analysis in Agriculture Applications

Autor: Vasily N. Lednev, Pavel A. Sdvizhenskii, Mikhail Y. Grishin, Evgeny A. Nikitin, Sergey V. Gudkov, Sergey M. Pershin
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Photonics, Vol 8, Iss 12, p 563 (2021)
Druh dokumentu: article
ISSN: 2304-6732
DOI: 10.3390/photonics8120563
Popis: A new calibration procedure, known as mapping conditional-calibration laser-induced breakdown spectroscopy (LIBS), has been suggested to improve analysis results for heterogeneous samples. The procedure is based on LIBS elemental mapping, followed by signal conditioning in every sampling spot to skip signal outliers, then by finalizing the calibration curve construction. The suggested mapping conditional calibration procedure was verified for zinc analysis in soybean grist samples. The laser parameters correspond to those of the hand-held LIBS instrument in order to estimate the influence of sample surface heterogeneity under on-site analysis conditions. The laser spot (60 μm) was equal to or smaller than the typical size of grist particles (40–500 μm) but laser crater dimensions were significantly greater and varied widely (150–450 μm). The LIBS mapping of different spectral signals (atomic and ionic lines for major and minor components) was achieved. Elemental maps were normalized to achieve signal maps that were conditionally spotted to skip signal outliers. It was demonstrated that the suggested mapping conditional-calibration LIBS provided 15 ppm RMSECV for zinc determination in heterogeneous samples, which is typical for agricultural products.
Databáze: Directory of Open Access Journals