scholarly journals Drying characteristics of blue mussels by traditional methods

2020 ◽  
pp. 46-46
Author(s):  
Azmi Kipcak ◽  
Emek Derun ◽  
Nurcan Tugrul ◽  
İbrahim Doymaz
Keyword(s):  
Blue Mussel ◽  
Air Flow ◽  
Colour Change ◽  
Coefficient Of Determination ◽  
Traditional Methods ◽  
Vacuum Oven ◽  
Drying Characteristics ◽  
Blue Mussels ◽  
Drying Behaviour ◽  
Kinetics Of

In this study, characteristic drying behaviour and kinetics of blue mussel, which is dried with the traditional methods of cabinet-type, oven and vacuum oven, are studied. In cabinet-type drier there is an air flow in oven there is no air flow. In each method, Deff and Ea are calculated and the colour analysis are done. According to the results, mussels are dried between 270-120 min, 570-300 min and 390-210 min, for the cabinet-type dryer, oven and vacuum oven, respectively. In each method, Midilli & Kucuk model best fits experimental data with high coefficient of determination (R2) between 0.9995-0.9984, 0.9996-0.9993, and 0.9997-0.9993 for cabinet-type, oven and vacuum oven, respectively. Deff values were calculated between 1.89-4.94.10-9 m2/s, 0.89-1.63.10-9 m2/s and 1.17-2.28.10-9 m2/s for cabinet-type dryer, oven and vacuum oven methods, respectively. Also, Ea values were found as 46.90, 29.57 and 32.85 kJ/mol, for cabinet-type dryer, oven and vacuum oven methods, respectively. The colour change was slightly affected by the change in the temperature.

scholarly journals Drying characteristics and mathematical modelling of the drying kinetics of oyster mushroom (Pleurotus ostreatus)

2018 ◽  
Author(s):  
A. A. Satimehin ◽  
M. O. Oluwamukomi ◽  
V. N. Enujiugha ◽  
M. Bello
Keyword(s):  
Pleurotus Ostreatus ◽  
Goodness Of Fit ◽  
Oyster Mushroom ◽  
Coefficient Of Determination ◽  
Chi Square ◽  
Drying Characteristics ◽  
Thin Layer Drying ◽  
Model Equations ◽  
Drying Behaviour ◽  
Kinetics Of

This study was conducted to determine the drying characteristics of oyster mushroom (Pleurotus ostreatus) at 50, 60 and 70 °C.  Pleurotus ostreatus were cleaned and dried in a laboratory cabinet dryer. The drying data were fitted to six model equations namely Newton, Pabis and Henderson, Logarithmic, Two-term diffusion, Wang and Singh, as well as Modified Henderson and Pabis equations. The goodness of fit of the models were evaluated by means of the coefficient of determination (R2), root mean square error (RMSE) and reduced chi-square (χ2). The Logarithmic model best describes the drying data and could be used to predict its drying behaviour. Keywords: oyster mushroom; thin-layer drying; characteristics; modelling

scholarly journals Infrared drying kinetics of blue mussels and physical properties

2019 ◽  
Vol 25 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Azmi Kipcak ◽  
İbrahim Doymaz ◽  
Emek Moroydor-Derun
Keyword(s):  
Blue Mussel ◽  
Power Level ◽  
Colour Change ◽  
Moisture Diffusivity ◽  
Drying Kinetics ◽  
Drying Time ◽  
Blue Mussels ◽  
Thin Layer Drying ◽  
Drying Models ◽  
Kinetics Of

As an alternative to fish and beef, blue mussels (Mytilus edulis) can be consumed due to their high protein content. In this study, the drying kinetics and quality changes (cook loss, area shrinkage and colour change) in whole blue mussels were investigated with several infrared power levels between 88?146 W. Various thin-layer drying models were applied to the blue mussel and the Midilli et al., model best fits the experimental data (R2: 0.999150?0.999750, ?2: 0.000104?0.000030, RMSE: 0.008309?0.004797). The effective moisture diffusivity was determined to be between 4.24?10-9 and 1.10?10-8 m2/s. The activation energy was found to be 20.85 kW/kg. The cook loss and area shrinkage increased with increasing power level and drying time. Most cook loss (30%) and area shrinkage (30%) were obtained between 15-23 min and 8-20 min of drying time, respectively. The colour change was slightly affected by the change in infrared power level.

scholarly journals The effect of processing method on drying kinetics of Petrovská klobása, an artisan fermented sausage

2012 ◽  
Vol 18 (2) ◽  
pp. 163-169 ◽  
Author(s):  
Predrag Ikonic ◽  
Ljiljana Petrovic ◽  
Tatjana Tasic ◽  
Marija Jokanovic ◽  
Snezana Savatic ◽  
...  
Keyword(s):  
Experimental Data ◽  
Processing Method ◽  
Coefficient Of Determination ◽  
Mean Square ◽  
Chi Square ◽  
Fermented Sausage ◽  
Drying Characteristics ◽  
Dry Fermented Sausage ◽  
Drying Behaviour ◽  
Kinetics Of

The drying behaviour of dry-fermented sausage Petrovsk? klob?sa ripened in traditional and industrial conditions has been studied. Obtained results indicated that sausages dried in industrial room (batch I) had higher weight loss and lower water activity (aw) values than counterparts from traditional/artisanal production (batch T). Difference in drying intensity between internal and external fractions of sausages was much more marked for batch I. The experimental data of water content in Petrovsk? klob?sa, dried in respective conditions, were compared with values predicted by seven different mathematical models. Comparing the coefficient of determination (r2), root mean square error (ERMS) and the reduced chi-square (?2) values of all equations, it was concluded that the Page mathematical model satisfactorily represents drying characteristics of Petrovsk? klob?sa both in traditional (0.990; 2.22 x 10-2 and 6.01 x 10-4, respectively) and industrial conditions (0.995; 1.79 x 10-2; 3.91 x 10-4, respectively).

scholarly journals Modelling the Drying Characteristics and Kinetics of Hot Air-Drying of Unblanched Whole Red Pepper and Blanched Bitter Leaf Slices

2017 ◽  
Vol 5 (1) ◽  
pp. 24
Author(s):  
Samuel Enahoro Agarry
Keyword(s):  
Moisture Diffusivity ◽  
Effective Moisture Diffusivity ◽  
Red Pepper ◽  
Coefficient Of Determination ◽  
Drying Time ◽  
Drying Characteristics ◽  
Hot Air ◽  
Effective Moisture ◽  
Drying Curves ◽  
Kinetics Of

The objective of this study was to investigate the drying characteristics and kinetics of red pepper and bitter leaf under the influence of different drying temperatures. The drying experiments were carried out at dry bulb temperature of 35, 45, 55 and 75oC, respectively in an oven dryer. The results showed that as drying temperature increased, drying rate also increased and the drying time decreased. It was observed that un-sliced red pepper and sliced bitter leaf would dry within 2.5-12 h and 1.67-7 h, respectively at temperature ranging from 75 to 35oC. The drying of red pepper and bitter leaf was both in the constant and falling rate period. Four semi-empirical mathematical drying models (Newton, Page, Henderson and Pabis, and Logarithmic models) were fitted to the experimental drying curves. The models were compared using the coefficient of determination (R^2) and the root mean square error (RMSE). The Page model has shown a better fit to the experimental drying data of red pepper and bitter leaf, respectively as relatively compared to other tested models. Moisture transport during drying was described by the application of Fick’s diffusion model and the effective moisture diffusivity was estimated. The value ranges from 15.69 to 84.79 × 10-9 m2/s and 0.294 to 1.263 × 10-9 m2/s for red pepper and bitter leaf, respectively. The Arrhenius-type relationship describes the temperature dependence of effective moisture diffusivity and was determined to be 37.11 kJ/mol and 32.86 kJ/mol for red pepper and bitter leaf, respectively. A correlation between the drying time and the heat transfer area was also developed.

scholarly journals Thin layer mathematical modelling of white maize in a mobile solar-biomass hybrid dryer

2021 ◽  
Author(s):  
Joseph Oppong Akowuah ◽  
Ato Bart-Plange ◽  
Komla A. Dzisi
Keyword(s):  
Thin Layer ◽  
Type Equation ◽  
Moisture Diffusivity ◽  
Coefficient Of Determination ◽  
Drying Rate ◽  
Mean Square ◽  
Drying Time ◽  
Thin Layer Drying ◽  
Drying Behaviour ◽  
Kinetics Of

Performance of a tractor mounted solar-biomass hybrid dryer which utilise combined energy of solar and biomass was investigated. Drying behaviour of maize grains in the dryer was also investigated using 10 thin-layer mathematical models. The models were compared based on coefficient of determination (R<sup>2</sup>) and root mean square error (RMSE) values between experimental and predicted moisture ratios. Moisture content (MC) of grains in the dryer reduced from 19 ± 0.86% to 13 ± 0.4% (w.b.) in 5 h, compared to grains dried in open-sun which reached same MC in 15 hours. This resulted in average drying rate of 1.2 %·h<sup>–1</sup> compared to 0.4 %·h<sup>–1</sup> for grains dried in the open-sun leading to net savings in drying time of 67%. Overall mean temperature, 41.93 ± 2.7 °C in the dryer was 15.3 °C higher than the ambient temperature. Midilli Kucuk model was best to describe the thin-layer drying kinetics of maize in the dryer. It showed a good fit between the predicted and experimental data. The effective moisture diffusivity of grains dried in the dryer ranged between 1.45 × 10<sup>–11</sup> m<sup>2</sup>·s<sup>–1</sup> – 3.10 × 10<sup>–11</sup> m<sup>2</sup>·s<sup>–1</sup>. An activation energy of 96.83 kJ·mol<sup>–1</sup> was determined based on the Arrhenius-type equation.

scholarly journals INFRARED DRYING OF APRICOT POMACE

2019 ◽  
Vol 49 (4) ◽  
pp. 213-218
Author(s):  
Seda Kayran ◽  
Íbrahim Doymaz
Keyword(s):  
Type Equation ◽  
Moisture Diffusivity ◽  
Coefficient Of Determination ◽  
Chi Square ◽  
Drying Characteristics ◽  
Infrared Drying ◽  
Thin Layer Drying ◽  
Apricot Pomace ◽  
Drying Conditions ◽  
Kinetics Of

Effect of infrared powers (62, 74, 88, 104 and 125 W) on drying kinetics of apricot pomace was investigated. It is observed that drying characteristics of apricot pomace were greatly influenced by infrared power. Henderson and Pabis model was investigated for describing thin-layer drying of apricot pomace. The model because of the high coefficient of determination (R2) as well as the lowest reduced chi-square (c2) and root mean square error (RMSE) values adequately described the experimental data of apple pomace drying. Effective moisture diffusivity (Deff) values were increased by increasing infrared power and changed between 1.67×10-9 and 6.03×10-9 m2/s. Activation energy was estimated by a modified Arrhenius type equation and found to be 2.32 kW/kg. The colour results were affected by drying conditions.

scholarly journals Solar Drying Kinetics of Cass Ava Slices in a Mixed Flow Dryer

2015 ◽  
Vol 18 (4) ◽  
pp. 102-107 ◽  
Author(s):  
Olawale Usman Dairo ◽  
Adewole Ayobami Aderinlewo ◽  
Olayemi Johnson Adeosun ◽  
Ibukun Adekola Ola ◽  
Tolulope Salaudeen
Keyword(s):  
Diffusion Mechanism ◽  
Coefficient Of Determination ◽  
Drying Time ◽  
Drying Characteristics ◽  
Solar Dryer ◽  
Thin Layer Drying ◽  
Chamber Temperature ◽  
Drying Models ◽  
Kinetics Of ◽  
Drying Curve

Abstract Drying characteristics of cassava slices was investigated in a mixed mode natural convection solar dryer to obtain a suitable mathematical model describing the drying. The average drying chamber temperature was between 34 ±2 °C and 50 ±1.8 °C, while 10 commonly used thin layer drying models were used for drying curve modelling. Coefficient of determination (R2) and root mean square error (RMSE) were used to determine the models performances. The drying curve of cassava slices showed a reduction of moisture content with increased drying time in the solar dryer, and the variation of moisture ratio exponentially decreased with increased drying time. The Midilli and Logarithmic models showed better fit to the experimental drying data of cassava slices. As compared with other models tested, there were no significant differences (p >0.05) in the R2 values obtained for the Midilli and Logarithmic models; hence, the Logarithmic model was preferable because of the lower RMSE. The diffusion mechanism could be used to describe the drying of cassava slices that was found to be in the falling rate period. A diffusion coefficient (Deff) of 1.22 × 10-8 m2 s-1 was obtained, which was within the established standard for food products.

Drying kinetics and colour change of lemon slices

2014 ◽  
Vol 28 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Hosain Darvishi ◽  
Mohammad H. Khoshtaghaza ◽  
Saeid Minaei
Keyword(s):  
Quality Index ◽  
Colour Change ◽  
Moisture Diffusivity ◽  
Drying Kinetics ◽  
Convective Heating ◽  
Air Velocity ◽  
Drying Characteristics ◽  
Hue Angle ◽  
Kinetics Of

Abstract The effect of microwave-convective heating on drying characteristics and colour change of lemon slices was investigated. The drying experiments were carried out at 180, 360, 540 and 720Wand at 22°C, with air velocity of 1ms-1. The values of effective moisture diffusivity were found to be in the range between 1.87 10-8 and 3.95 10-8 m2 s-1, and the activation energy was estimated to be 10.91 Wg-1. The drying data were fitted with ten mathematical models available in the literature. The model describing drying kinetics of lemon slices in the best way was found. The colour change of the dried lemon slices was analysed and considered as a quality index affecting the drying quality of the product. The values of lightness/darkness, yellowness/blueness and hue angle increased, while the value of redness/greenness decreased with increasing microwave power.

scholarly journals DRYING CHARACTERISTICS AND KINETICS OF LOVASTATIN DEGRADATION OF OYSTER MUSHROOM (PLEUROTUS OSTREATUS) SLICES

2019 ◽  
Vol 49 (4) ◽  
pp. 269-274
Author(s):  
Engin Demiray
Keyword(s):  
Reaction Model ◽  
Oyster Mushroom ◽  
Coefficient Of Determination ◽  
Drying Process ◽  
Chi Square ◽  
Drying Characteristics ◽  
First Order ◽  
Hot Air ◽  
Air Dryer ◽  
Kinetics Of

Oyster mushroom slices were dried using hot air dryer. The lovastatin content in oyster mushroom slices during drying was evaluated at 45, 55 and 65˚C. The first-order reaction model adequately described degradation of lovastatin. In this study, the modeling of the drying process was also performed. Four mathematical models were fitted to the experimental data. The performance of these models is evaluated by comparing the coefficient of determination, root mean square error and reduce chi-square between the observed and predicted moisture ratio. The Page model gave the best results for describing drying of oyster mushroom slices.

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