| Texto completo | |
| Autor(es): |
de Almeida, Andressa Gomes
;
Pauli, Elis Daiane
;
Tormena, Claudia Domiciano
;
Wendling, Ivar
;
Rakocevic, Miroslava
;
Bruns, Roy Edward
;
Scarminio, Ieda Spacino
;
Marcheafave, Gustavo Galo
Número total de Autores: 8
|
| Tipo de documento: | Artigo Científico |
| Fonte: | FOOD ANALYTICAL METHODS; v. N/A, p. 9-pg., 2022-12-07. |
| Resumo | |
Yerba mate plants are part of the ombrophilous mixed forest with araucaria trees. Genetically improved yerba mate clones are classified into two groups of interest to a selective consumer public, decaffeinated and high caffeine plants. Quality control strategies for this type of food are essential, and multivariate tools can help in this procedure. Partial least squares-discriminant analysis (PLS-DA) was used to identify chemically differentiated yerba mate plants together with reflectance measurement (900-1700 nm) near-infrared spectroscopy (NIRS) in direct analysis of plant material. Yerba mate plants were cultivated in the semi-hydroponic system under five plant shading levels (0%, 40%, 51%, 76%, and 82%). Robustness of the mathematical model was verified for plants with all these shading levels. The PLS-DA model showed a sensitivity of 96.52% for the training set and 93.33% for the test set. Specificity greater than 97.12% was found for both sets, with an efficiency rate of 96.82% for the training set and 95.31% for the test set. Wilcoxon signed classification, sign classification in pairs, and randomization t-tests showed an excellent model fit. Principal component analysis of the NIR spectra demonstrated that shading affected the chemical composition more in high-caffeine clones than in decaffeinated ones. This indicates that the caffeine synthesis in yerba mate plants represents an adaptative strategy to elevated light conditions. (AU) | |
| Processo FAPESP: | 20/11463-5 - Otimização do solvente extrator-detector das respostas metabólicas da planta aos impactos ambientais: uma estratégia integrada de planejamento fatorial, planejamento de misturas e ANOVA: análise de componentes simultânea |
| Beneficiário: | Gustavo Galo Marcheafave |
| Modalidade de apoio: | Bolsas no Brasil - Pós-Doutorado |