Literature DB >> 21461623

Characterization and forensic analysis of soil samples using laser-induced breakdown spectroscopy (LIBS).

Sarah C Jantzi1, José R Almirall.   

Abstract

A method for the quantitative elemental analysis of surface soil samples using laser-induced breakdown spectroscopy (LIBS) was developed and applied to the analysis of bulk soil samples for discrimination between specimens. The use of a 266 nm laser for LIBS analysis is reported for the first time in forensic soil analysis. Optimization of the LIBS method is discussed, and the results compared favorably to a laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) method previously developed. Precision for both methods was <10% for most elements. LIBS limits of detection were <33 ppm and bias <40% for most elements. In a proof of principle study, the LIBS method successfully discriminated samples from two different sites in Dade County, FL. Analysis of variance, Tukey's post hoc test and Student's t test resulted in 100% discrimination with no type I or type II errors. Principal components analysis (PCA) resulted in clear groupings of the two sites. A correct classification rate of 99.4% was obtained with linear discriminant analysis using leave-one-out validation. Similar results were obtained when the same samples were analyzed by LA-ICP-MS, showing that LIBS can provide similar information to LA-ICP-MS. In a forensic sampling/spatial heterogeneity study, the variation between sites, between sub-plots, between samples and within samples was examined on three similar Dade sites. The closer the sampling locations, the closer the grouping on a PCA plot and the higher the misclassification rate. These results underscore the importance of careful sampling for geographic site characterization.

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Year:  2011        PMID: 21461623     DOI: 10.1007/s00216-011-4869-7

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  4 in total

1.  Forensic discrimination of three common brands of kitchen knives in China by ICP-AES and infrared absorption.

Authors:  Ru-feng Bai; Shu-hua Ma; Hai-dong Zhang; Lin Chang; Zhong Zhang; Li Liu; Feng-qin Zhang; Zhao-ming Guo; Mei-sen Shi
Journal:  Int J Legal Med       Date:  2013-02-14       Impact factor: 2.686

2.  Incorporation of support vector machines in the LIBS toolbox for sensitive and robust classification amidst unexpected sample and system variability.

Authors:  Narahara Chari Dingari; Ishan Barman; Ashwin Kumar Myakalwar; Surya P Tewari; Manoj Kumar Gundawar
Journal:  Anal Chem       Date:  2012-03-02       Impact factor: 6.986

3.  Bioinformatics Approach to Assess the Biogeographical Patterns of Soil Communities: The Utility for Soil Provenance.

Authors:  Natalie Damaso; Julian Mendel; Maria Mendoza; Eric J von Wettberg; Giri Narasimhan; DeEtta Mills
Journal:  J Forensic Sci       Date:  2018-01-22       Impact factor: 1.832

4.  Effects of sample pretreatment and particle size on the determination of nitrogen in soil by portable LIBS and potential use on robotic-borne remote Martian and agricultural soil analysis systems.

Authors:  Xiu T Yan; Karen M Donaldson; Christine M Davidson; Yichun Gao; Hanling Wu; Andrew M Houston; Aron Kisdi
Journal:  RSC Adv       Date:  2018-10-31       Impact factor: 4.036

  4 in total

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