Drying of kaffir lime leaves in a fluidized bed dryer with inert particles: Kinetics and quality determination

Tasirin, Siti Masrinda; Puspasari, Ifa; Lun, A; Chai, P.V.; Lee, W.T.

doi:10.1016/j.indcrop.2014.07.004

Cited by 55 publications

(22 citation statements)

References 37 publications

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“…The moisture ratio decreased with time at all drying temperatures. Similar trend was observed during drying of other food materials in fluidized bed [6][7][8][9][10][11][12][13]48] and other types of dryers [28,[49][50][51][52][53][54][55]. At any instant of time, moisture ratio was lower at higher drying temperature.…”

Section: Drying Curvessupporting

confidence: 70%

Drying Kinetics of Eggplant (Solanum melongena) in a Fluidized Bed Dryer: Experimental Evaluation and Modelling

ElKhodiry

Suwaidi

Taheri

et al. 2015

Journal of Food Processing

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The drying kinetics of eggplant were studied experimentally in a laboratory-scale fluidized bed dryer. Experiments were conducted at drying temperatures of 60, 70, and 80°C and at constant air velocity of 3.10 ms−1. The drying rate and moisture ratio were determined as a function of time. At any given temperature, only the falling rate period was observed during the drying process. Effective moisture diffusivity was in the range 2.667–4.311 × 10−8 m2/s while activation energy of 23.5 kJ mol−1was obtained from the Arrhenius equation. The experimental moisture ratio data was fitted to ten mathematical models. Statistical analysis showed that the by Demir et al. has the best fit quality. In terms of product quality, the dried samples had low rehydration ratio of 4.889. In addition, compared to direct sunlight drying, the dried product from the fluidized bed dryer exhibited better color quality.

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Section: Drying Curvessupporting

confidence: 70%

Drying Kinetics of Eggplant (Solanum melongena) in a Fluidized Bed Dryer: Experimental Evaluation and Modelling

ElKhodiry

Suwaidi

Taheri

et al. 2015

Journal of Food Processing

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“…This phenomenon can be attributed to the increase of the vapor's pressure inside the samples, which would lead to the rapid movement of water at elevated drying temperatures (Shi et al, 2013). The values of the effective moisture diffusion coefficients obtained from the experiments was similar to the results by some researchers, from 7.20×10 −9 to 1.91×10 −8 m 2 /s for the thin-layer drying of sweet sorghum stalks at 30-70°C (Shen et al, 2011), 4.08×10 −8 to 2.35×10 −7 m 2 /s for convective drying of pumpkin (Cucurbita maxima) at 30-70 o C. However, these values of D eff are higher than the general range of 10 −9 to 10 −11 m 2 /s as reported for agriculture and industrial products by other researchers, for instance 5.42×10 −11 to 9.29×10 −10 for pistachio nuts (Kashaninejad et al, 2007), 8.21×10 −10 to 2.61×10 −9 for castor oil seeds (Perea-Flores et al, 2012), 2.61×10 −11 to 9.24×10 −11 for kaffir lime leaves (Tasirin, Puspasari, Lun, Chai, & Lee, 2014). The difference of the D eff for different biological materials might be due to the different drying temperatures employed, physical or chemical pretreatment, moisture content and sample variety, composition and geometry of drying materials.…”

Section: Effective Moisture Diffusivity (D Eff )mentioning

confidence: 54%

Mathematical modeling of debittered apricot (Prunus armeniaca L.) kernels during thin-layer drying

Zhang

Song

Wang

et al. 2016

CyTA - Journal of Food

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In this paper, the effect of drying temperature was investigated on the drying kinetics of the debittered and skin-removed apricot kernels, and the thin-layer drying model was also constructed by fitting the eight mathematical models such as Henderson and Pabis, Logarithmic, Midilli et al. and Approximation of diffusion model,. Among them, the Midilli et al. and Approximation of diffusion models were selected to describe the drying characteristics of apricot kernels due to their relatively higher coefficient of determination (R 2 ), and lower chi-square (χ 2 ) and root mean square error (RMSE). Beyond that, the moisture loss and the effective moisture diffusivity (D eff ) of the kernels during drying were also described and estimated by Fick's second law and the data obtained, getting a range of 1.39×10 −8 to 3.5×10 −8 m 2 /s, respectively. The temperature dependence of the diffusivity coefficients was described with the activation energy (Ea) value of 16.5 kJ/mol. All these results are beneficial for better understanding and controlling the drying of apricot kernels.Modelado matemático de semillas de albaricoque desamargadas (Prunus armeniaca L.) durante el secado de capa fina RESUMEN En este estudio, se investigó el efecto de la temperatura de secado en la cinética de secado de semillas peladas y desamargadas de albaricoque, además se empleó el modelo de secado de capa fina mediante la utilización de los ocho modelos matemáticos como por ejemplo el Henderson y Pabis, el logarítmico, el Midilli et al. y el modelo de Aproximación de difusión. Entre ellos, se seleccionaron los modelos Midilli et al. y Aproximación de difusión para describir las características de secado de las semillas de albaricoque debido a su coeficiente de determinación (R 2 ) relativamente alto, el bajo ji-cuadrado (χ 2 ) y el error cuadrático medio (RMSE). Además, se describieron la pérdida de humedad y la difusividad efectiva de la humedad (D eff ) de las semillas durante el secado y se estimaron mediante la segunda ley de Fick y los datos obtenidos, consiguiendo un rango de 1,39×10 −8 a 3,5×10 −8 m 2 /s, respectivamente. Se describió la dependencia de temperatura de los coeficientes de difusividad con el valor de energía de activación (Ea) de 16,5 kJ/mol. Todos estos resultados son beneficiosos para la comprensión y el control del secado de semillas de albaricoque. ARTICLE HISTORY

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“…The surface moisture on biomass materials increases the inter-particle forces dramatically [5], at several times bigger than the particle weight, which could lead to channeling, gas bypassing and eventually defluidization. Previous researchers introduced inert particles such as sand to the system to assist fluidization of biomass particles [6][7][8][9]. However, it increases ash content in biomass product due to attrition of inert materials, degrading the quality of biomass pellets and subsequently posing serious problems to biomass-powered boilers and turbines that may as a result encounter corrosion, sintering, and slagging, which will require additional maintenance for the removal of deposits and even unscheduled shutdowns [10].…”

Section: Introductionmentioning

confidence: 99%

Fluidization and drying of biomass particles in a vibrating fluidized bed with pulsed gas flow

Jia

Cathary

Peng

et al. 2015

Fuel Processing Technology

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a b s t r a c tFluidization of biomass particles in the absence of inert bed materials has been tested in a pulsed fluidized bed with vibration, with the pulsation frequency ranging from 0.33 to 6.67 Hz. Intermittent fluidization at 0.33 Hz and apparently 'normal' fluidization at 6.67 Hz with regular bubble patterns were observed. Pulsation has proven to be effective in overcoming the bridging of irregular biomass particles induced by strong inter-particle forces. The vibration is only effective when the pulsation is inadequate, either at too low a frequency or too low in amplitude. Drying of biomass has been carried out to quantify the effectiveness of gas pulsation for fluidized bed dryers and torrefiers in terms of gas-solid contact efficiency and heat and mass transfer rates. The effects of gas flow rate, bed temperature, pulsation frequency and vibration intensity on drying performance have been systematically investigated. While higher temperature and gas flow rate are favored in drying, there exists an optimal range of pulsation frequency between 0.75 Hz and 1.5 Hz where gas-solid contact is enhanced in both the constant rate drying and falling rate drying periods.

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Drying of kaffir lime leaves in a fluidized bed dryer with inert particles: Kinetics and quality determination

Cited by 55 publications

References 37 publications

Drying Kinetics of Eggplant (Solanum melongena) in a Fluidized Bed Dryer: Experimental Evaluation and Modelling

Drying Kinetics of Eggplant (Solanum melongena) in a Fluidized Bed Dryer: Experimental Evaluation and Modelling

Mathematical modeling of debittered apricot (Prunus armeniaca L.) kernels during thin-layer drying

Fluidization and drying of biomass particles in a vibrating fluidized bed with pulsed gas flow

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