Drying kinetics of jabuticaba pulp by regression models

Furtado, Thais Destefani Ribeiro; Muniz, Joel Augusto; Silva, Edilson Marcelino; Fernandes, Jaqueline Gonçalves

doi:10.1590/0100-29452019097

Cited by 6 publications

(3 citation statements)

References 17 publications

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“…The graphical analysis showed that the residuals did not follow random behavior under all conditions for both models, which means that the error terms are not independent. Furtado et al (2019), who found a similar result in the description of the drying kinetics of jabuticaba pulp at 50 and 60°C, explained that the presence of autocorrelated errors in the adjustment of nonlinear regression models may be associated with the fact that all measurements were made on the same material throughout of time. Despite this, for both models, the Shapiro–Wilk test was not significant for the two models so the data are, at least approximately, from a normal distribution at the 5% significance level.…”

Section: Resultsmentioning

confidence: 79%

Effects of temperature and foam layer thickness on collard greens powder production by foam mat drying

Borges

Borel

Lima‐Corrêa

2022

Food Processing Preservation

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Collard greens (Brassica oleraceae var. acephala) is a nutrient-rich, low-calorie leaf vegetable belonging to the Brassicaceae family (Banjac et al., 2019). This family is composed of a wide variety of species consumed worldwide, therefore, it represents a culture of great nutritional and economic importance (Favela-González et al., 2020).One of the most important characteristics of Brassicaceae family is its phytochemical composition, which includes several micronutrientssuch as vitamins, minerals, and amino acids-macronutrients-as proteins and fibers-and secondary metabolites. Due to the presence of these various bioactive compounds, the Brassicaceae vegetables

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Section: Resultsmentioning

confidence: 79%

Effects of temperature and foam layer thickness on collard greens powder production by foam mat drying

Borges

Borel

Lima‐Corrêa

2022

Food Processing Preservation

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“…The Durbin Watson test was applied to verify the presence of residual dependence between the measures, evaluating if the residue of an observation is associated with the residue of the adjacent observations (FURTADO et al, 2019). The Breusch-Pagam test was used to verify the homogeneity of residues, and the Shapiro-Wilk test was used to verify their normality.…”

Section: Methodsmentioning

confidence: 99%

Comparison of nonlinear models for the description of carbon mineralization in soils treated with pig slurry

Paula

Silva²,

Furtado³

et al. 2020

R. Agrogeoambiental

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One of the strategies to reduce environmental impacts caused by pig slurry is its application to soils for agricultural productions. Carbon mineralization curves can be used to determine the best periods for the use of organic matter for an adequate management of soils and growing plants. The objective of this study was to evaluate the fit of nonlinear models for soil carbon mineralization. The experiment was conducted using a randomized block design with four replications and four treatments. The treatments consisted of monthly applications of pig slurry at rates of 0, 7.5, 15.0, and 30.0 m3 ha-1 ofpig slurry. Soil samples were collected and incubated for 26 days; then, seven observations of mineralized carbon volume were made over time. The description of the carbon mineralization followed the Stanford and Smith, Cabrera, and Juma models, considering the structure of autoregressive errors AR (1), when necessary; the fits were compared using the Akaike Information Criterion (AIC). The description of carbon mineralization in the treatments by nonlinear models was, in general, adequate. Juma was the most adequate model to describe the treatment with rate of 0. Stanford and Smith was the most adequate model to describe the treatments with rates of 7.5 and 15.0 m3 ha-1. Cabrera was the most adequate model to describe the treatment with rate of 30.0 m3 ha-1.

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“…A cinética de secagem de grãos representa a velocidade do decréscimo do teor de água do produto em relação ao tempo (BOTELHO et al, 2018;FURTADO et al, 2019a, FURTADO et al, 2019b. Esta perda de água pode ser representada por uma curva de caráter sigmoidal decrescente que é característica de modelos de regressão não linear.…”

Section: Os Modelos Matemáticos São Ferramentas Importantes Na Estima...unclassified

Descrição Da Cinética De Secagem De Grãos De Milho-Pipoca Por Modelos De Regressão Não Linear

Gonzaga,

Azarias,

Salvador

et al. 2024

Rev. Foco

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O Milho-pipoca, também conhecido simplesmente como milho de pipoca, é uma variedade de milho (Zea mays) cultivada especificamente para a produção de pipoca, sua produção vem crescendo de forma significativa nos últimos anos. Objetivou-se nesse estudo descrever a cinética de secagem de grãos de milho-pipoca na temperatura de 40°C com teor de umidade inicial de 0,175 e 0,235 b.s, comparando os modelos de regressão Lewis, Henderson e Pabis, Page e Midilli e, obtendo a Taxa de Secagem Absoluta (TSA) para o melhor modelo. A estimação dos parâmetros foi realizada com o software R. A avaliação da qualidade no ajuste e a seleção dos modelos foi feita com base no coeficiente de determinação ajustado, Critério de Informação de Akaike, Critério de informação Bayesiano e medidas de não linearidade intrínseca e paramétrica. Os modelos apresentaram bom ajuste aos dados, sendo que o modelo Henderson e Pabis foi o mais indicado para descrever a cinética de secagem de grãos de milho-pipoca na temperatura de 40°C com teor de umidade inicial de 0,175 e 0,235 b.s.

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Drying kinetics of jabuticaba pulp by regression models

Cited by 6 publications

References 17 publications

Effects of temperature and foam layer thickness on collard greens powder production by foam mat drying

Effects of temperature and foam layer thickness on collard greens powder production by foam mat drying

Comparison of nonlinear models for the description of carbon mineralization in soils treated with pig slurry

Descrição Da Cinética De Secagem De Grãos De Milho-Pipoca Por Modelos De Regressão Não Linear

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