Methodology for the optimization of LIBS analysis of soft tissues

conference proceedings

en

Biological tissues contain essential trace elements, such as Zn, Cu, Fe, which are known to have an important role in various metabolic processes taking place in the human body. The optimum level of concentration of these elements is needed to maintain the proper function and health of the human body [1]. In this work, we focused on the optimization of laserinduced breakdown spectroscopy (LIBS) methods used for a detection of these elements in soft tissues. Analysis of such samples using LIBS could be used for numerous biological applications in the future, such as the utilization of listed trace metals as the potential biomarkers for cancer tissue diagnostics [2, 3]. Laser-induced breakdown spectroscopy was applied to perform the elemental analysis of soft tissue samples – mouse kidneys. In order to get the optimum signal in the multi-element LIBS measurements of kidneys, the following experimental parameters: side input slit, grating, central wavelength, gate delay, laser energy, and wavelength were adjusted and the signal dependence was studied. The process of optimization of experimental settings and conditions was described. The main goal was to achieve the highest possible signal to noise ratio data. Due to the different sample size, a system of unification and mutual comparison was proposed. All the parameters were tested for zinc and the limits of detection (LOD) were estimated. The analysis accuracy and repeatability were further demonstrated by the determination of the concentration of detected elements. Obtained results suggest the ideal experimental parameters settings in order to obtain the best possible signal to noise ratio to analyze soft tissues using LIBS. References [1] C. G. Fraga, Relevance, essentiality and toxicity of trace elements in human health. Mol. Asp. of Med., 2005, 26(4-5), 235–244. [2] B. Busser, Elemental imaging using laser-induced breakdown spectroscopy: A new and promising approach for biological and medical applications. Coord. Chem. Rev., 2018, 358, 70-79. [3] R. González de Vega, Quantitative bioimaging of Ca, Fe, Cu and Zn in breast cancer tissues by LA-ICP-MS. Journal of Analyt. Atom. Spec., 2017, 32(3), 671–677.

Biological tissues contain essential trace elements, such as Zn, Cu, Fe, which are known to have an important role in various metabolic processes taking place in the human body. The optimum level of concentration of these elements is needed to maintain the proper function and health of the human body [1]. In this work, we focused on the optimization of laserinduced breakdown spectroscopy (LIBS) methods used for a detection of these elements in soft tissues. Analysis of such samples using LIBS could be used for numerous biological applications in the future, such as the utilization of listed trace metals as the potential biomarkers for cancer tissue diagnostics [2, 3]. Laser-induced breakdown spectroscopy was applied to perform the elemental analysis of soft tissue samples – mouse kidneys. In order to get the optimum signal in the multi-element LIBS measurements of kidneys, the following experimental parameters: side input slit, grating, central wavelength, gate delay, laser energy, and wavelength were adjusted and the signal dependence was studied. The process of optimization of experimental settings and conditions was described. The main goal was to achieve the highest possible signal to noise ratio data. Due to the different sample size, a system of unification and mutual comparison was proposed. All the parameters were tested for zinc and the limits of detection (LOD) were estimated. The analysis accuracy and repeatability were further demonstrated by the determination of the concentration of detected elements. Obtained results suggest the ideal experimental parameters settings in order to obtain the best possible signal to noise ratio to analyze soft tissues using LIBS. References [1] C. G. Fraga, Relevance, essentiality and toxicity of trace elements in human health. Mol. Asp. of Med., 2005, 26(4-5), 235–244. [2] B. Busser, Elemental imaging using laser-induced breakdown spectroscopy: A new and promising approach for biological and medical applications. Coord. Chem. Rev., 2018, 358, 70-79. [3] R. González de Vega, Quantitative bioimaging of Ca, Fe, Cu and Zn in breast cancer tissues by LA-ICP-MS. Journal of Analyt. Atom. Spec., 2017, 32(3), 671–677.

Laser-induced breakdown spectroscopy, soft tissues analysis, optimization

07.09.2019

Spektroskopická společnost Jana Marka Marci, Ioannes Marcus Marci Spectroscopic Society

Ke Karlovu 2027/3, 120 00 Praha 2 - Nové Město Czech Republic

ISBN 978-80-88195-13

EMSLIBS 2019 Book of abstracts

150–151

293