Optimization of texture profile analysis parameters for commercial guava preserve

Motivated by the lack of studies that standardize and optimize parameters texture tests, this study aimed to determine operating conditions for TPA maximize discrimination among samples fruit preserves. The commercial guava preserves was evaluated using a texturometer. Design Central Composite Rotational (DCCR) method applied with four independent variables: speed test, sample volume, time between compression cycles percentage. Only percentage test were significantly influenced evaluated. optimum region better discriminate differences in depended on variable be optimized, adhesiveness 75% 0.23 mm·s are recommended. To detect cohesiveness, gumminess resilience, use 15% 2.59 is suggested. In both cases, one must employ shortest two smaller size save analysis sample, respectively. For hardness, elasticity chewiness, optimal regions not identified.