A set of 30 phosphate fertilizers and 2 certified reference materials (NIST SRM 695-Trace Elements in Multi-Nutrient Fertilizer, and BCR032-NaturalMoroccan Phosphate Rock)were used formethod development and validation. The laboratory samples of monoammoniumphosphate (MAP), single superphosphate (SSP), triple superphosphate (TSP), and NPK mixtures, were provided by the National Laboratory of Agriculture (LANAGRO, Brazil). The laboratory samples (ca. 100 g,1 mm particle size) were dried in an oven at 65 °C for 10 h up to constant weight, and stored in desiccators prior to analysis. After defining the LIBSmethod, an exploratory study using principal component analysis (PCA)was also performed to verify the possible presence of outliers by selecting the information from the whole spectrum (200–780 nm).
Matlab® 7.0 software was employed for obtaining PCA classifications.
A set of 30 phosphate fertilizers and 2 certified reference materials (NIST SRM 695-Trace Elements in Multi-Nutrient Fertilizer, and BCR032-NaturalMoroccan Phosphate Rock)were used formethod development and validation. The laboratory samples of monoammoniumphosphate (MAP), single superphosphate (SSP), triple superphosphate (TSP), and NPK mixtures, were provided by the National Laboratory of Agriculture (LANAGRO, Brazil). The laboratory samples (ca. 100 g,1 mm particle size) were dried in an oven at 65 °C for 10 h up to constant weight, and stored in desiccators prior to analysis. After defining the LIBSmethod, an exploratory study using principal component analysis (PCA)was also performed to verify the possible presence of outliers by selecting the information from the whole spectrum (200–780 nm).
Matlab® 7.0 software was employed for obtaining PCA classifications.
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