Adjustment of mathematical models in the drying of cagaita pulp in foam-layer

Cavalcante, Maisa Dias; Belisário, Celso Martins; Oliveira, Daniel Emanuel Cabral de; Maia, Geisa Priscilla Araújo Gomes; Júnior, Weder Nunes Ferreira; Resende, Osvaldo

doi:10.1590/fst.14020

Cited by 2 publications

(1 citation statement)

References 17 publications

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“…Clustering by multivariate classification methods allows for grouping of models with similar results for all evaluators considered and indicates a model that best fits all or most of the studied conditions. The magnitude of the coefficient of determination, mean relative error, mean estimated error and chi-square test have been used (Goneli et al, 2016;Smaniotto et al, 2017;Guimarães et al, 2018;Resende et al, 2018;Xavier et al, 2018;Beigi & Ahmadi, 2019;Quequeto et al, 2019;Cavalcante et al, 2020;Aydar, 2021;Silva et al, 2021). Since these methods have some limitations, it is necessary to adopt other criteria to increase the accuracy in the model selection and further support decision-making.…”

Section: Introductionmentioning

confidence: 99%

Multivariate analysis in mathematical model selection to describe Croton urucurana Baill drying kinetics

et al. 2022

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The Croton urucurana Baill species is known in Brazil as "sangra d'água" and is popular due to its medicinal properties. For better processing of herbal medicines, it is essential that efficient drying and storage techniques are developed and that compounds are preserved. Therefore, this study aimed to select models through multivariate cluster analysis applying Akaike (AIC) and Bayesian information criteria (BIC) to describe Croton urucurana leaves drying kinetics at different temperatures (40-70 °C). The initial moisture content in Croton urucurana leaves was 1.791, 1.841, 2.196 and 2.144 kg water kg dry matter -1 , and 8.25, 7.75, 4.25 and 2 hours were required to reach hygroscopic equilibrium, with a final moisture content of 0.134, 0.105, 0.065 and 0.0601 kg water kg dry matter -1 , at 40, 50, 60 and 70 °C, respectively. The models with the greatest similarity to the experimental data were Diffusion Approximation; Cavalcanti Mata; Two-term; Two-term Exponential; Modified Henderson & Pabis; Logarithmic; Midilli; Page and Verma. The multivariate cluster technique associated with AIC and BIC criteria during model selection is a great applicability tool to help decision-making when evaluating the drying plant leaves. The Cavalcanti Mata mathematical model was selected to represent the drying kinetics.

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Section: Introductionmentioning

confidence: 99%

Multivariate analysis in mathematical model selection to describe Croton urucurana Baill drying kinetics

et al. 2022

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Tropical Red Fruit Blends: The Effect of Combination of Additives on Foaming, Drying and Thermodynamic Properties

et al. 2023

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Blends combine advantageous characteristics of each species, resulting in products with different flavors and nutritional substances. Moreover, transforming them into powder provides numerous advantages. This work evaluated the properties of three blended foam formulations made from the pulps of tropical red fruits (acerola, guava and pitanga) to determine the foam layer drying kinetics and thermodynamic properties. The foam formulations were prepared by mixing the three pulps in equal proportions (1:1:1), all added with 6% albumin and 1% stabilizing agent. The foams were analyzed for density, volumetric expansion, stability and porosity in six mixing times. Subsequently, they were subjected to drying in an oven with forced air circulation at 4 temperatures, with a layer 0.5 cm thick. Seven mathematical models were fitted to the drying kinetics experimental data to determine the effective diffusivity and thermodynamic properties of the samples. The best mixing times were 5 min for the E2 sample and 30 min for the others. Formulation E2 presented the best results in the foam physical properties, and E3 presented the shortest drying times. All models tested were satisfactorily adjusted, but Page’s model was the most adequate to describe the process. Sample E3 showed the highest diffusivity and sample E2 the lowest activation energy. The drying temperature increase caused reductions in enthalpy and entropy, as well as an increase in Gibbs free energy, indicating an endergonic process. The combination of additives incorporated into the blend influences the drying process: formulation E2 shows greater efficiency in removing water, and formulation E1 presents the highest energy demand.

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Adjustment of mathematical models in the drying of cagaita pulp in foam-layer

Cited by 2 publications

References 17 publications

Multivariate analysis in mathematical model selection to describe Croton urucurana Baill drying kinetics

Multivariate analysis in mathematical model selection to describe Croton urucurana Baill drying kinetics

Tropical Red Fruit Blends: The Effect of Combination of Additives on Foaming, Drying and Thermodynamic Properties

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