Modelagem matemática da secagem de resíduo de acerola em forno de micro-ondas

Sousa, Ana Paula Moisés de; Campos, Ana Regina Nascimento; Macedo, Antônio Daniel Buriti de; Dantas, Danilo Lima; Silva, Aline Priscila de França; Costa, Jaciara Dantas; Santana, Renato Alexandre Costa de

doi:10.34188/bjaerv3n3-095

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…These models have parameters that are determined experimentally and, in general, some empirical or semi-empirical model is fitted to these parameters, which completes the drying model. The drying equation thus determined allows to evaluate the effects of these parameters on the drying characteristics and the quality of the dry product [8,17,18,19,20].…”

Section: Drying Processmentioning

confidence: 99%

“…For this reason, Equation ( 16) was fitted to the data of drying kinetics of acerola seed, using nonlinear regression by the Levenberg-Marquardt method with a maximum convergence error of 10 −8 [28], to determine parameter φ for each drying temperature. Then, the diffusion coefficients were calculated using Equation ( 17), and the Arrhenius equation, Equation (18), was fitted to these data, completing the model.…”

Section: Modified Diffusion Equationmentioning

confidence: 99%

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Use of diffusive and empirical models to predict drying rate of acerola seeds (Malpighia sp.)

Silva¹,

Martins²,

Mata³

et al. 2021

Global J. Eng. Tech. Adv.

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The thin layer drying process of acerola seeds was analyzed using a flat plate geometry diffusion model, Page's model, and a two-part model proposed based on the diffusion equation. These models were fitted to experimental drying kinetics data of acerola seeds for an air flow speed of 1.5 m/s, at temperatures of 40, 50, 60 and 70°C, using non-linear regression by Levenberg-Marquardt method. The diffusion model was used to determine the diffusion coefficients and activation energy. The predicted and experimental results were compared using the determination coefficient (R2) and mean square error (MSE) of the estimates as criteria. The results showed that the diffusion model is not suitable for predicting the drying rate of acerola seeds, while Page’s equation and the two-part proposed model can be safely used to predict the drying rates.

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Section: Drying Processmentioning

confidence: 99%

Section: Modified Diffusion Equationmentioning

confidence: 99%

Use of diffusive and empirical models to predict drying rate of acerola seeds (Malpighia sp.)

Silva¹,

Martins²,

Mata³

et al. 2021

Global J. Eng. Tech. Adv.

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Técnicas de secagem de frutas: uma revisão

Silva

Rigo

et al. 2021

Sci. Elec. Arch.

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O consumo de frutas, em geral, além de proporcionar ao organismo humano compostos benéficos à saúde, contribui com o fluxo econômico, devido à comercialização das mesmas. No entanto, durante as etapas de cultivo, grandes perdas na produção podem ocorrer. Dessa forma, o uso de técnicas de secagem pode garantir maior conservação das frutas, reduzindo o desperdício e perdas econômicas. Nesse contexto, essa revisão abordou diferentes técnicas de secagem para conservação de frutas, dentre elas: secagem natural, leito fixo, camada de espuma, atomização e por formo micro-ondas. Em cada técnica foram mencionados os princípios, principais parâmetros estudados e os resultados promissores observados. Além disso, é relatada a importância da caracterização físico-química e a modelagem matemática dos dados experimentais. A partir dessa revisão, esperamos fornecer um compilado de resultados promissores de diversas técnicas de secagem, para várias frutas estudadas, a fim de favorecer o desenvolvimento de produtos com maior vida de prateleira, com maior retenção de propriedades nutritivas e menor desperdício.

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Drying study and phytochemical profile of the aqueous extract of the scaly leaf bulb of Allium cepa L (var.roxa)

Guterres,

Almeida,

Sousa

et al. 2024

CeN

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The objective of this study was to evaluate the phytochemical profile, predict drying kinetics, and quantify the content of total phenolics and flavonoids present in the aqueous extract of the bulb of scamiform leaves of Allium cepa L. The plant material was collected in the municipality of São Luís (MA). For the preparation of the aqueous extract, the cold maceration process was used using distilled water as a solvent. For the study of the drying kinetics, 10 g of the material in natura was submitted to a convective air oven at 45 °C/4h. The statistical parameters were determined by nonlinear regression using the Statistica 10.0software, using the Quasi-Newton method. To determine the total phenolic content, the Folin-Ciocalteu methodology was used. And for the total flavonoids, the aluminum complexation assay was used. The determination of phenolics and total flavonoids revealed significant quantities in the extract, with values of 106.54 mg EAT g-1 and 26.36 mg EAT g-1, respectively. According to the prediction of the statistical data, it was verified that the mathematical methods of Midilli-Kucuk and Verma proved to be adequate to describe the drying process of Allium cepa L. Through the results obtained, the mathematical model was determined for the drying kinetics of the squamous leaf bulb Allium cepa L, in addition to attesting the presence of secondary metabolites, thus making the product fit for biologically active activities.

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Modelagem matemática da secagem de resíduo de acerola em forno de micro-ondas

Abstract: Modelagem matemática da secagem de resíduo de acerola em forno de microondasMathematical modeling of acerola residence in microwave

Cited by 3 publications

References 7 publications

Use of diffusive and empirical models to predict drying rate of acerola seeds (Malpighia sp.)

Use of diffusive and empirical models to predict drying rate of acerola seeds (Malpighia sp.)

Técnicas de secagem de frutas: uma revisão

Drying study and phytochemical profile of the aqueous extract of the scaly leaf bulb of Allium cepa L (var.roxa)

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