Literature DB >> 23601869

LIBS analysis of artificial calcified tissues matrices.

M A Kasem1, J J Gonzalez, R E Russo, M A Harith.   

Abstract

In most laser-based analytical methods, the reproducibility of quantitative measurements strongly depends on maintaining uniform and stable experimental conditions. For LIBS analysis this means that for accurate estimation of elemental concentration, using the calibration curves obtained from reference samples, the plasma parameters have to be kept as constant as possible. In addition, calcified tissues such as bone are normally less "tough" in their texture than many samples, especially metals. Thus, the ablation process could change the sample morphological features rapidly, and result in poor reproducibility statistics. In the present work, three artificial reference sample sets have been fabricated. These samples represent three different calcium based matrices, CaCO3 matrix, bone ash matrix and Ca hydroxyapatite matrix. A comparative study of UV (266 nm) and IR (1064 nm) LIBS for these three sets of samples has been performed under similar experimental conditions for the two systems (laser energy, spot size, repetition rate, irradiance, etc.) to examine the wavelength effect. The analytical results demonstrated that UV-LIBS has improved reproducibility, precision, stable plasma conditions, better linear fitting, and the reduction of matrix effects. Bone ash could be used as a suitable standard reference material for calcified tissue calibration using LIBS with a 266 nm excitation wavelength.
Copyright © 2013 Elsevier B.V. All rights reserved.

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Year:  2013        PMID: 23601869     DOI: 10.1016/j.talanta.2013.02.062

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  1 in total

Review 1.  Importance of laser-induced breakdown spectroscopy for hard tissues (bone, teeth) and other calcified tissue materials.

Authors:  Vivek K Singh; Vinay Kumar; Jitendra Sharma
Journal:  Lasers Med Sci       Date:  2014-02-26       Impact factor: 3.161

  1 in total

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