Quantitative NMR Applied to Design of Experiments for Achieving High Yield and Chemical Diversity

In this study, solvent content emerged as the sole statistically significant factor affecting both the yield and chemical diversity of extracts from Hymenaea stigonocarpa Mart. PCA segregated the data into two distinct groups, corresponding to ethanol proportions of 80% and 100%. Notably, the calculated and experimental yields closely aligned at approximately 14.76% and 14.86%, respectively, suggesting the reliability of the model under the evaluated conditions.