Please use this identifier to cite or link to this item:
|Title:||Environmental Stress Evaluation Of Coffea Arabica L. Leaves From Spectrophotometric Fingerprints By Pca And Osc-pls-da|
|Abstract:||The effects of hydric stress and sunlight access conditions on metabolic compounds in coffee leaves were investigated utilizing statistical mixture design extractor solvents. PCA and OSC-PLS-DA chemometric methods were used to analyze UV-visible spectra of irrigated and non-irrigated. Coffea arabica L. leaves from low (<40. cm, self-shaded) and higher (>80. cm, light exposed) strata. The first latent variable of the OSC-PLS-DA score plot perfectly discriminated extracts of 34 calibration and 14 validation samples of irrigated and non-irrigated leaves. Higher spectral signals observed at the 410, 505, 535, 607 and 665. nm wavelengths are attributed to conjugate double bond pigments, mainly pheophytin a, indicating that non-irrigated conditions are more stressful than irrigated ones for this species. No significant difference was found for leaf sample extracts with varying light access conditions. © 2016 The Authors.|
|Subject:||Coffea Arabica L. Leaves|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.