Estimation of the post-mortem interval of human skeletal remains using Raman spectroscopy and chemometrics.

An important demand exists in the field of forensic analysis to objectively determine the post-mortem interval (PMI) when human skeletal remains are discovered. It is widely known that bones undergo different chemical and physical processes after death, mainly due to their interaction with the environment in which they are found, although it is not known exactly what these processes consist of. Multiple techniques have been used so far to follow up these and other post-mortem changes and thus establish the time elapsed since the individual's death, but they present important drawbacks in terms of reliability and accuracy. The aim of this research was to propose an analytical methodology capable of determining the PMI by using non-destructive Raman spectroscopy measurements of human skeletal remains. The recorded Raman spectra provided valuable and potentially useful information from which a multivariate study was performed by means of orthogonal partial least squares regression (OPLSR) in order to correlate the PMI with the detected spectral modifications. A collection of 53 real human skeletal remains with known PMI (15 years ≤ PMI ≤ 87 years) was analysed and used for building and validating the OPLS model. The PMI of 10 out of 14 validation samples could be determined with an accuracy error of less than 30%, demonstrating the adequate predictive performance of the OPLS model even in spite of the large inter-individual variability it handled. This opens up the possibility of applying the OPLS model in combination with non-destructive techniques to the determination of the PMI of human skeletal remains that have been buried in conditions similar or equal to those of cemetery niches and in a geographic location with a Mediterranean climate, which is an important achievement for forensic medicine and anthropology.

OPLS multivariate regression of FTIR-ATR spectra of acrylic paints for age estimation in contemporary artworks.

In recent years the interest and demand for artworks has been increasing as they are an interesting commercial investment due to their growing value in the market. This explains the increasing number of counterfeits dealing with artworks that has led to the development of new methodologies for their characterization. The material characterization of these types of works can provide relevant information for both authentication and conservation/restoration. Thus, in this study multivariate chemometric methods were applied to FTIR-ATR spectroscopic data for artwork dating purposes. To that end, ageing prediction models were developed for Liquitex® and Hyplar® brands. Paint samples containing the green synthetic organic pigment (PG7), were exposed to artificial ageing and analysed with FTIR-ATR and Py-GC/MS for characterization and monitorization of the main components (binding medium, pigment and additives). Although the OPLS ageing models were mainly characterized by the modifications suffered by both the binder and the surfactants, a universal model could not be developed due to differences in the modification trends of the different brands. The applicability of the OPLS modelling for artwork dating purposes was tested in artworks provided by internationally recognized contemporary Basque artists. For Liquitex® a significant correlation (p < 0.05) between natural and accelerated ageing could be established, in which approximately 50 h of accelerated ageing under the applied conditions were equivalent to one natural year. This correlation might have possible applications in the dating of artworks for up to at least 22 years. Thus, the study demonstrates that FTIR-ATR combined with chemometrics is a potential method for artwork dating and a valuable source of information about the chemical processes involved in paint ageing, which can be of great help in the conservation and restoration steps.