دورية أكاديمية

Optimization of texture profile analysis parameters for commercial guava preserve

التفاصيل البيبلوغرافية
العنوان: Optimization of texture profile analysis parameters for commercial guava preserve
المؤلفون: Vieira, Mariele Antunes, Schiass, Maria Cecília Evangelista Vasconcelos, Dias, Ana Clara Costa, Curi, Paula Nogueira, Pereira, Patrícia Aparecida Pimenta, Carneiro, João De Deus Souza, Borges, Soraia Vilela, Queiroz, Fabiana
المصدر: Revista Ceres. December 2021 68(6)
بيانات النشر: Universidade Federal de Viçosa, 2021.
سنة النشر: 2021
مصطلحات موضوعية: design central composite rotational, food quality, testing machines
الوصف: Motivated by the lack of studies that standardize and optimize the parameters of texture tests, this study aimed to determine the operating conditions for TPA to maximize the discrimination among samples of fruit preserves. The texture of the commercial guava preserves was evaluated using a texturometer. The Design Central Composite Rotational (DCCR) method was applied with four independent variables: speed test, sample volume, time between compression cycles and compression percentage. Only the compression percentage and test speed were significantly influenced by the texture parameters evaluated. The optimum operating region of TPA to better discriminate differences in texture parameters depended on the variable to be optimized, and for adhesiveness a compression of 75% and a compression speed of 0.23 mm·s are recommended. To detect differences among the samples for the parameters of cohesiveness, gumminess and resilience, the use of 15% compression and 2.59 mm·s speed is suggested. In both cases, one must employ the shortest time between two cycles and use a smaller sample size to save both the time of analysis and of the sample, respectively. For the parameters of hardness, elasticity and chewiness, optimal regions were not identified.
نوع الوثيقة: article
وصف الملف: text/html
اللغة: English
تدمد: 0034-737X
DOI: 10.1590/0034-737x202168060004
URL الوصول: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2021000600530
حقوق: info:eu-repo/semantics/openAccess
رقم الأكسشن: edssci.S0034.737X2021000600530
قاعدة البيانات: SciELO
الوصف
تدمد:0034737X
DOI:10.1590/0034-737x202168060004