Rank correlation of laser-induced breakdown spectroscopic data for the identification of alloys used in jewelry manufacture

Comparison of univariate and multivariate calibration for the determination of micronutrients in pellets of plant materials by laser induced breakdown spectrometry

“…Quantitative methods employing multivariate calibration, such as those based on partial least squares regression (PLSR) [4][5][6][7]10,[28][29][30][31][32][33][34][35][36][37][38][39][40][41][42], principal component regression (PCR) [7,32,33,41,43,44], multi-linear regression (MLR) [32] or artificial neural networks (ANN) [30,45,46] have been found. PLSR applications were used to predict the main elemental composition [36,37] and characterization [38] of samples of the jewelry industry and its application to study the matrix effects in steel samples [40,41]. Ferreira et al [46] showed that the soil analyses using a portable LIBS system with a relatively low spectral resolution was not able to provide selective lines for Cu determination by univariate calibration.…”

Laser induced breakdown spectroscopy stratigraphic characterization of multilayered painted surfaces

“…Laser induced breakdown spectroscopy (LIBS) has been demonstrated to be a powerful analytical technique for various types of samples: gas, aerosols, soils, minerals, or alloys [1][2][3][4][5]. In the particular case of cultural heritage restoration and conservation it has been demonstrated that LIBS is a suitable technique for pigments identification, for analysis of multilayered paintings, and for quantitative analysis of ancient materials [6][7][8][9][10][11][12][13][14].…”

Progress towards an unassisted element identification from Laser Induced Breakdown Spectra with automatic ranking techniques inspired by text retrieval

“…Multi-element detection based on multivariate analysis methods was also reported [2]. Some methods for classification of materials by comparison of spectra with spectral libraries representing different groups were also proposed [3][4][5][6][7].…”