Integrated Chemometric Approach to Optimize Sample Preparation for Detecting Metabolic Changes Provoked by Abiotic Stress in Coffea arabica L. Leaf Fingerprints

Autor: Miroslava Rakocevic, Sabrina Afonso, Roy E. Bruns, Gustavo Galo Marcheafave, Cláudia Domiciano Tormena, Ieda Spacino Scarminio
Rok vydání: 2019
Předmět:
Zdroj: Journal of the Brazilian Chemical Society v.30 n.10 2019
Journal of the Brazilian Chemical Society
Sociedade Brasileira de Química (SBQ)
instacron:SBQ
Journal of the Brazilian Chemical Society, Volume: 30, Issue: 10, Pages: 2085-2094, Published: 21 OCT 2019
ISSN: 0103-5053
DOI: 10.21577/0103-5053.20190068
Popis: The effects of water-deficit stress on irrigated and unirrigated field plants of Coffea arabica L. genotype IAPAR 59 were investigated. Plant extracts were obtained following an ethanol-dichloromethane-hexane statistical mixture design. Proton nuclear magnetic resonance (1H NMR) fingerprints of the extracts were discriminated using factor analysis (FA) and hierarchical clustering techniques. Extracts from the 1:1:1 ternary mixture presented the largest discriminations compared with those from the pure solvents or their 1:1 binary mixtures. Metabolites resulting from fermentation processes and nutritional deficiencies as well as senescence and abscission precursors such as lactate, arginine and methionine were prevalent in unirrigated plants that can provoke expressive decreases in bean productivity as well as premature plant aging. Amino acids that control regulatory, physiological processes and soil salinization have higher concentrations in the irrigated plants. The NMR assignments of eighteen substances observed here were confirmed by electrospray ionization mass spectrometry.
Databáze: OpenAIRE