Quarry identification of historical building materials by means of laser induced breakdown spectroscopy, X-ray fluorescence and chemometric analysis

Multivariate analysis of multi-sensor data for assessment of timber structures: Principles and applications

“…The prediction of a probable class membership for new samples/observations is performed by determination of best fitting to the respective class (local model). SIMCA has been successfully used for classification of treated wooden samples [34], identification of historical building materials [35] and discrimination of wood biological decay [36].…”

Laser-induced breakdown spectroscopy application in environmental monitoring of water quality: a review

“…In 1990s, commercialization of LIBS for engineering applications became common, and the number of LIBS-based instrumentations grew rapidly. LIBS now has become an irreplaceable analysis method and has been used extensively in many fields including online monitoring of industrial process (Gurell et al 2012;Legnaioli et al 2012;Werheit et al 2011), archeological identification (Staicu et al 2012;Kasem et al 2011;Colao et al 2010), environmental monitoring (Ayyalasomayajula et al 2012;Dell'Aglio et al 2011;Awan et al 2013), geological exploration (Rakovsky et al 2012;Pace et al 2011;Lui and Koujelev 2011), national defense Moros et al 2012), and space exploration (McCanta et al 2013;Wiens et al 2013;Fabre et al 2011).…”

Source provenance of carbonate grains in the Wahiba Sand Sea, Oman, using a new LIBS method

“…SIMCA is a supervised classification method of pattern recognition based on principal components analysis and is a widely accepted method of classification within chemometrics (Gemperline and Webber, 1989;Brereton, 2003;Vanden Branden and Hubert, 2005;Lavine and Davidson, 2006). Given the large spectral data sets generated by the LIBS analysis, SIMCA provides a robust and accurate modeling method for this study (Naftz, 1996;Odden and Kvalheim, 2000;Colao et al, 2010;Myakalwar et al, 2011). SIMCA is also a logical method for this project because our goal is not to ascertain the precise composition of the individual grains, but to identify populations of grains useful in determining mineral sources.…”