CINÉTICA DE SECAGEM DE FOLHAS DE Cymbopogon citratus

Gomes, Nathan Henrique Fagundes; Neto, Henrique Cardoso Da Silva; Alves, Jáliston Júlio Lopes; Rodovalho, Renato Souza; Sousa, Cleiton Mateus

doi:10.22409/engevista.v19i2.837

Cited by 8 publications

(3 citation statements)

References 4 publications

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“…As shown, the drying time of leaves decreases with increases of drying air temperature. In accordance to Gomes et al (2017), this is due to the pressure difference of the air vapor saturated with the water inside the vegetable product, allowing the water to move from inside the leaves to the drying air in a shorter period. This fact directly influences the quality of the leaves, and a long drying can cause color deterioration, losses in nutritional composition and lead to the growth of molds (Babu et al, 2018).…”

Section: Resultsmentioning

confidence: 93%

Mathematical modeling of the drying kinetics of endive leaves

Bezerra,

Belisário,

Resende

et al. 2023

Hortic. Bras.

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Endive is a vegetable traditionally eaten as a raw or cooked salad. It is a source of important nutritional compounds and one of the procedures for its industrialization is drying, which increases its shelf life, preserves the nutrients and reduces losses due to microorganisms. This research evaluated the drying kinetic of endive leaves at different temperatures and adjusted the experimental data according to mathematical models. The experimental design was completely randomized in triplicate, with each sample unit being a perforated aluminum tray containing about 100 g fresh leaves. The endive leaves were dried in an oven at 50, 60, 70 and 80°C. The mathematical models were adjusted according to the experimental data; non-linear regression analysis was performed by Gauss-Newton and Quasi-Newton methods. In all conditions, the mathematical models that best fitted the drying kinetics of the endive leaves were Midilli, Logarithmic and Valcam. The Logarithmic model, under these drying conditions, can be accurately described as suitable for predicting and simulating the drying kinetic of endive leaves, as it showed the best results in the statistical parameters evaluated.

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Section: Resultsmentioning

confidence: 93%

Mathematical modeling of the drying kinetics of endive leaves

Bezerra,

Belisário,

Resende

et al. 2023

Hortic. Bras.

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“…In the drying process, the elevation of air temperature increases the speed with which water is removed from the material and, for Gomes et al (2017), this phenomenon is due to the increase in the difference of saturated air vapor pressure inside the plant product, resulting in water movement from inside the leaf to the drying air in a shorter period of time. This behavior has been reported in various studies, such as those conducted by Sahin & Öztürk (2016) Based on the mean relative error (P<10%) ( Table 2), being an eliminatory statistical parameter, theoretical models with the lowest magnitude at temperature of Table 2).…”

Section: Resultsmentioning

confidence: 99%

Drying Kinetics of Cecropia pachystachya Leaves

et al. 2019

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The species Cecropia pachystachya has important medicinal purposes and its leaves have been used in pharmaceutical research, so the drying of this product may help maintaining its chemical properties and ensure safe storage. Thus, the objective of this study was to select mathematical models to represent the drying kinetics of Cecropia pachystachya leaves, determine the effective diffusion coefficient and obtain the activation energy during drying at different temperatures. Leaves were dried in an oven under five temperature conditions (40, 50, 60 and 70 °C), until reaching hygroscopic equilibrium moisture content. Among the models analyzed, the Logarithmic model best represented the drying kinetics at temperatures of 40 and 60 °C, whereas Modified Henderson & Pabis and Dryceleaves represented temperatures of 50 and 70 °C, respectively. The effective diffusion coefficient increased with increasing air temperature, and the activation energy for liquid diffusion in the drying process was 64.53 kJ mol-1.

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“…Wang & Sing (Wang & Singh, 1978) 2 MR = 1+a t+b t (15) t = drying time, h; k, k o , k 1 , k 2 ; g = drying constants in h -1 ; a, a 0 , a 1 , a 2 , a 3 , b, c, n, n 1 , n 2 = model parameters. removal time from Cymbopogon citratus (Martinazzo et al, 2010;Gomes et al, 2017), Ziziphus joazeiro (Sousa et al, 2015) and Genipa americana (Silva et al, 2015) leaves. At high temperatures, this process occurs rapidly, reducing the material's surface water amount and causing the products to adapt to the drying conditions.…”

Section: Modelmentioning

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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CINÉTICA DE SECAGEM DE FOLHAS DE Cymbopogon citratus

Cited by 8 publications

References 4 publications

Mathematical modeling of the drying kinetics of endive leaves

Mathematical modeling of the drying kinetics of endive leaves

Drying Kinetics of Cecropia pachystachya Leaves

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

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