Influence of sample preparation methods on FTIR spectra for taxonomic identification of tropical trees in the Atlantic forest

• DOI: 10.1016/j.heliyon.2024.e27232
• Publication Date: 2024-02-27T17:29:46Z
• Authors: Douglas Cubas Per...; Breno Pupin; Laura de Simone B...
• Keywords: Biome; Chemometrics

The Atlantic forest is one of the world's major tropical biomes due to its rich biodiversity. Its vast diversity plant species poses challenges in floristic surveys. Fourier transform infrared spectroscopy (FTIR) enables rapid and residue-free data collection, providing diverse applications organic sample analysis. FTIR spectra quality depends on preparation methodology. However, no research methodology for taxonomy has been conducted with tree species. Hence, this study addresses influence taxonomic classification 12 collected Serra do Mar State Park (PESM) - Cunha Nucleus – São Paulo State, Brazil. Spectra were obtained from intact fresh (FL), dried (DL), heat-dried ground (GL) leaves. evaluated through chemometrics using Principal Component Analysis (PCA), Hierarchical Cluster (HCA), Linear Discriminant (LDA) validation by LDA-PCA. results demonstrate that directly influences categorization capability. best result all techniques, validated LDA-PCA, was GL. evaluation PCA, HCA, LDA allow observation phylogenetic relationships among proves be a viable technique exploration which can complement traditional tools used studies.