Examination of multilayer paint coats by the use of infrared, Raman and XRF spectroscopy for forensic purposes

Ziȩba‐Palus, Janina; Borusiewicz, Rafał

doi:10.1016/j.molstruc.2006.03.072

Cited by 65 publications

(36 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To obtain the greatest extent of information on the morphology and chemical composition from paint collected as forensic evidence, several techniques such as optical microscopy, 1 infrared spectroscopy (IR) 2 and elemental analysis 3 are typically applied in modern forensic laboratories. 8,9 Current methods of paint comparison are usually carried out using visual comparisons of binder components and/or inspections of the pyrogram proles. However, it is rather difficult to assess the similarities among samples when there exists little difference, or they belong to the same group of paint recipes, and so more sensitive and better discriminating analytical methods, such as pyrolysis-gas chromatography/mass spectrometry (Py-GC/MS), were introduced and developed.…”

Section: Introductionmentioning

confidence: 99%

Differentiation of vehicle top coating paints using pyrolysis-gas chromatography/mass spectrometry and multivariate chemometrics with statistical comparisons

et al. 2015

View full text Add to dashboard Cite

The aim of this work was to evaluate the capabilities and feasibility of using the averaged mass spectra obtained from pyrograms for assessing the group distributions and similarities of vehicle paint samples.To achieve this, all the profiles of averaged mass spectra were examined using hierarchical cluster analysis and principal component analysis after data processing. The pyrograms of 54 vehicle top coating samples were characterized by mass fragments chosen from 15 major paint constituents commonly used in the paint industry and multivariate chemometric analysis based on 76 variables, used as indicators for the classification of paint samples. Not only the characteristics of the variables were discussed, but the discriminating power among the samples was also evaluated by adding six blind test samples. In addition, validation of this method was accomplished by mixing three sets of international proficiency test samples and 23 randomly selected paired samples for comparison purposes, and the results of these gave the expected discriminating capability of the technique developed. The results indicated that this method was a promising, efficient and time saving tool for examining top-coating paint traces, with the application of combined pyrolysis-gas chromatography/mass spectroscopy with multivariate chemometrics for forensic purposes.

show abstract

Section: Introductionmentioning

confidence: 99%

Differentiation of vehicle top coating paints using pyrolysis-gas chromatography/mass spectrometry and multivariate chemometrics with statistical comparisons

et al. 2015

View full text Add to dashboard Cite

show abstract

“…This technique is currently being explored for the identification and classification of drugs [5], gunshot residue [6], fibers [7], paint [8][9][10] and ink [11] samples. When a laser is applied to a sample, light will be scattered resulting in photons with an initial (elastic scattering) or changed energy.…”

Section: Introductionmentioning

confidence: 99%

Spectroscopic Discrimination of Bone Samples from Various Species

McLaughlin¹,

Lednev²

2012

AJAC

View full text Add to dashboard Cite

Determining the species of origin of skeletal remains is critical in a forensic and anthropologic context. However, there are very few methods that use a chemical approach to assist in this determination. In this study, Raman spectroscopy was used to discriminate bone samples originating from four different species (bovine, porcine, turkey and chicken). Spectra were obtained using a near infrared laser at 785-nm. All spectra were combined in a single matrix and processed using partial least squares discriminate analysis (PLS-DA) with leave-one-out cross-validation. Three components were found to adequately describe the system. The first two components which contributed over 85% of spectral data was seen to completely separate the four species of origin in a two dimensional scores plot. A 95% confidence interval was draw around score points of each species class with very slight overlap. The first two components were seen to have large contributions from bioapatite and collagen, the main components of bone. This study serves as a preliminary investigation to evaluate the effectiveness of Raman spectroscopy to discriminate the species of origin of bone tissue.

show abstract

“…It has already been tested in forensic examination of paint [6][7][8][9][10] and fibre dyes [11][12][13][14], though interpretation of the obtained results is still very difficult.…”

Section: Introductionmentioning

confidence: 99%

An investigation into the use of micro-Raman spectroscopy for the analysis of car paints and single textile fibres

Ziȩba‐Palus¹,

Wąs-Gubała²

2011

Journal of Molecular Structure

Self Cite

View full text Add to dashboard Cite

Examination of multilayer paint coats by the use of infrared, Raman and XRF spectroscopy for forensic purposes

Cited by 65 publications

References 17 publications

Differentiation of vehicle top coating paints using pyrolysis-gas chromatography/mass spectrometry and multivariate chemometrics with statistical comparisons

Differentiation of vehicle top coating paints using pyrolysis-gas chromatography/mass spectrometry and multivariate chemometrics with statistical comparisons

Spectroscopic Discrimination of Bone Samples from Various Species

An investigation into the use of micro-Raman spectroscopy for the analysis of car paints and single textile fibres

Contact Info

Product

Resources

About