A5066280817- Spectroscopy and Chemometric Analyses
- Coffee research and impacts
- Heavy Metals in Plants
- Advanced Chemical Sensor Technologies
- Phytochemicals and Antioxidant Activities
- Metabolomics and Mass Spectrometry Studies
- Bee Products Chemical Analysis
- Biochemical and biochemical processes
- Plant responses to elevated CO2
- Saffron Plant Research Studies
- Identification and Quantification in Food
- Sensory Analysis and Statistical Methods
- GABA and Rice Research
- Heavy metals in environment
Universidade Estadual de Londrina
2018-2023
The first metabolic study of the impact elevated CO2 (590 µL L-1) levels on leaves and buds Coffea arabica L. plants is reported. A novel sequential statistical mixture design strategy allowed optimization both extraction mobile phase solvent systems to increase differences detected in metabolites buds. Factor analysis showed that 227 273 nm bands 1:1:1 ternary ethyl ether - dichloromethane methanol spectra resulted discrimination extract samples from those obtained grown a current level...
The effects of water-deficit stress on irrigated and unirrigated field plants Coffea arabica L. genotype IAPAR 59 were investigated.Plant extracts obtained following an ethanoldichloromethane-hexane statistical mixture design.Proton nuclear magnetic resonance ( 1 H NMR) fingerprints the discriminated using factor analysis (FA) hierarchical clustering techniques.Extracts from 1:1:1 ternary presented largest discriminations compared with those pure solvents or their 1:1 binary...
The effects of experimental repetitions and solvent extractors on the 1H NMR fingerprinting yerba mate extracts, obtained from two genders light environments, were analyzed in-depth by ANOVA–simultaneous component analysis (ASCA). Different solvents used according to a mixture design based ethanol, dichloromethane, hexane their combinations. number significantly affected ASCA results. Increasing led decreases in percentage effect variance values an increase residual variance. However,...