Centro de Documentação da PJ
Monografia
 CD200 |
Application of laser-induced breakdown spectroscopy to forensic science [Documento electrónico] : analysis of paint samples / Michael E. Sigman, Erin M. McIntee, Candice Bridge.- [Orlando, FL] : ed. do a., 2012.- 1 CD-ROM ; 12 cm
Research report submitted to the U.S. Department of Justice - Award ner. 2006-DN-BX-K251. Ficheiro de 1,22 MB em formato PDF (84 p.). Disponível também em. https://www.ncjrs.gov/pdffiles1/nij/grants/237839.pdf. Acedido a 21 de maio de 2012.
ANÁLISE DE TINTAS, ESPECTROSCOPIA, ANÁLISE LABORATORIAL, CIÊNCIA FORENSE
Executive summary. I. Introduction. I.1 Statement of problem. I.2 Literature citations and review. I.2.1 Forensic paint analysis. I.2.2 Laser-induced breakdown spectroscopy (LIBS). II Methods. II.1 Data analysis methods. II.1.1 Multivariate Analysis of Variance (MANOVA). II.1.2 Full spectral comparisons. II.1.2.1 Parametric approaches. II.1.2.1.1 Pearson Correlation Spectral Comparison. II.1.2.1.2 Hit Quality Index (HQI). II.1.2.1.3 Distribution issues: II.1.2.2 Nonparametric approaches. II.1.2.2.1 Nonparametric permutation. II.1.2.2.2 Alternative nonparametric approaches. II.1.2.2.2.1 Spearman Rank Correlation: II.2 Experimental approach. II.2.1 X-ray fluorescence XRF. II.2.2 Laser ablation – Inductively coupled plasma – mass spectrometry (LA-ICP-MS). II.2.3 Scanning Electron Microscopy – Energy Dispersive Spectroscopy (SEM/EDS). II.2.4 Laser induced breakdown spectroscopy (LIBS). II.3 Samples analyzed. III. Results: III.1 XRF discrimination: III.1.1 ANOVA/Tukey HSD Data Analysis: III.2 SEM/EDS discrimination: III.2.1 ANOVA/Tukey HSD Data Analysis. III.2.2 SEM/EDS full spectra discrimination by student’s t-test/HQI. III.3 Laser Ablation – Inductively Coupled Plasma – Mass Spectrometry (LA-ICP-MS). III.4 LIBS discrimination. III.4.1 Laser Induced Breakdown Spectroscopy Discrimination (MANOVA). III.4.2 Laser Induced Breakdown Spectroscopy Discrimination (t-test). III.4.3 Laser Induced Breakdown Spectroscopy Discrimination (nonparametric permutation test). III.4.3.1 Nonparametric permutation discrimination of glass samples. III.4.3.2 Nonparametric permutation discrimination of paint samples. IV Conclusion: IV.1 Discussion of findings. IV.2 Implications for policy and practice. IV. 3 Implications for further research. V References.VI Dissemination of results.