scholarly journals Mathematical Modeling of the Drying Kinetics of Thinly-Sliced Saba (Musa Balbasiana) Using Hot-Air Dryer

2018 ◽  
Vol 156 ◽  
pp. 02004
Author(s):  
Lola Domnina B. Pestaño ◽  
John Paul T. Bautista ◽  
Reizl JR. H. Leguiab ◽  
Sean Danielle D. Puri
Keyword(s):  
Moisture Content ◽  
Shelf Life ◽  
The Philippines ◽  
Drying Kinetics ◽  
Hot Air ◽  
The Laplace Transform ◽  
Pre Treatment ◽  
C 50 ◽  
Air Dryer ◽  
Best Fit

Banana is one of the top produced crops in the Philippines, and among its cultivars is the Musa balbasiana, commonly known as saba. Due to its high moisture content, saba is perishable and one of the methods to increase its shelf-life is drying. The shelf life of saba can be extended up to six months when dried to 12% moisture content. The research focuses on the effect of banana maturity and choses a mathematical model which will best fit its drying kinetics. The banana samples, the unripe and ripe saba, were bone-dried without pre-treatment using a hot-air tray drier. To produce repeatable data, three trials were done for temperatures 40°C, 50°C and 60°C. Among the three mathematical models used in the study, the treated data for both unripe and ripe saba best fit the Laplace Transform Model. Using Lagrange interpolation, the time per trial was computed; unripe saba dried at 50°C achieved the ideal moisture content in an average time of 87.5574 minutes for the three trials while that of ripe saba dried at 40°C achieved the same moisture content in an average time of 88.8619 minutes for the three trials. With the increase in temperature, the discoloration decreased indicating an enzymatic character ofbrowning.

Mass Transfer Parameters and Modeling of Hot Air Drying Kinetics of Dill Leaves

2016 ◽  
Vol 12 (2) ◽  
Author(s):  
Hosain Darvishi ◽  
Zanyar Farhudi ◽  
Nasser Behroozi-Khazaei
Keyword(s):  
Activation Energy ◽  
Mass Transfer ◽  
Moisture Content ◽  
Moisture Diffusivity ◽  
Drying Kinetics ◽  
Transfer Model ◽  
Hot Air ◽  
Drying Behavior ◽  
Kinetics Of ◽  
Best Fit

Abstract Moisture diffusivity (Dem), mass transfer coefficient (hm), activation energy and drying kinetics of the dill leaves were studied and modeled as a function of temperature (40–70 °C) and moisture content (0.20–5.67 kg water/kg dry matter). Results showed that the Dem and hm significantly depend on the temperature and moisture content (p < 0.05). The average of Dem and hm varied between 4.02 × 10–9 to 9.65 × 10–9 m2/s, and 2.38 × 10–7 to 6.33 × 10–7 m/s, respectively. Activation energy showed a significant dependence on the moisture content and estimated as 16.84 kJ/mol for diffusion model and 28.70 kJ/mol for mass transfer model. Out of the six models considered, the logarithmic model showed the best fit to drying behavior of the dill leaves.

scholarly journals Modelling the Thin-Layer Drying Kinetics of Untreated and Blanch-Osmotic Pre-treated Tomato Slices

2016 ◽  
Vol 4 (10) ◽  
pp. 850 ◽  
Author(s):  
Samuel Enahoro Agarry
Keyword(s):  
Linear Regression Analysis ◽  
Drying Kinetics ◽  
Coefficient Of Determination ◽  
Drying Rate ◽  
Drying Time ◽  
Drying Temperature ◽  
Hot Air ◽  
Thin Layer Drying ◽  
Pre Treatment ◽  
Air Dryer

The objective of this study was to investigate the effect of pre-treatment and drying temperature on the drying kinetics and nutritional quality of tomato (Lycopersicon esculantum L.) under hot air drying. Tomato samples were blanched at 80oC and osmotically dehydrated using 20% w/w sodium chloride solutions at 30oC for 20 min. The blanch-osmotic pre-treated and untreated tomato slices were dried at temperature of 40, 50, 60, 70 and 80oC, respectively in a hot air-dryer. The results showed that blanch-osmotic pre-treatment offered a higher drying rate and lower or faster drying time than untreated condition. The tomato drying regime was characteristically in the constant and falling rate period. The tomato drying rate curve showed characteristics of porous hygroscopic solids. The optimum drying temperature for tomato was found to be 60oC. Four semi-empirical drying models of Newton, Page, Henderson and Pabis, and Logarithmic were fitted to the drying data using non-linear regression analysis. The most appropriate model was selected using the coefficient of determination (R2) and root mean square error (RMSE). The Page model has shown a better fit to the drying kinetics data of tomato in comparison with other tested models. Transport of moisture during drying was described by Fick’s diffusion model application and the effective moisture diffusivity (Deff) thus estimated. The Deff at 60oC was 4.43 × 10-11m2/s and 6.33 × 10-11m2/s for blanch-osmotic pre-treated and untreated tomato slices, respectively.

Design, development, and drying kinetics of infrared‐assisted hot air dryer for turmeric slices

2021 ◽  
Author(s):  
G. Jeevarathinam ◽  
R. Pandiselvam ◽  
T. Pandiarajan ◽  
P. Preetha ◽  
T. Krishnakumar ◽  
...  
Keyword(s):  
Drying Kinetics ◽  
Design Development ◽  
Hot Air ◽  
Air Dryer ◽  
Kinetics Of

HOT-AIR DRYING AND MODELING THE DRYING KINETICS OF SUNFLOWER (HELIANTHUS ANNUS L.) PETALS

2020 ◽  
Vol 23 (3) ◽  
Author(s):  
Amir Hossein Mirzabe ◽  
◽  
Gholam Reza Chegini ◽  
Keyword(s):  
Economic Value ◽  
Cost Effective ◽  
Moisture Diffusivity ◽  
Drying Kinetics ◽  
Sunflower Seeds ◽  
Hot Air ◽  
Thin Layer Drying ◽  
Helianthus Annus ◽  
Air Dryer ◽  
Kinetics Of

Sunflower seeds and oil in food and agricultural processing are of great importance. Dried sunflower petals are the most important parts of the sunflower plant that have economic value. Thin-layer drying experiments were performed in a laboratory scale hot-air dryer. The results indicated that with increasing drying temperature and air velocity, time of drying reduces and in most cases, the logarithmic model had the best performance for modeling the drying kinetics. The calculated values of the effective moisture diffusivity varied from 3.16627 ×10-13 to 1.32860 ×10-12 m2 s-1 and the values of the activation energy for air velocities of 0.4 and 0.8 m s-1 were equal to 51.21 and 42.3 kJ mol-1, respectively. Also, to verify whether the production and sale of sunflower petals can be cost effective, economic analysis was done. This analysis showed that drying of sunflower petals is profitable process and the generated revenue can even surpass the revenue from the sale of sunflower seeds.

The Investigation of the Effects of Banana Maturity on the Drying Kinetics of Thinly-Sliced Saba (Musa balbasiana) Using Hot-Air Dryer

2021 ◽  
pp. 90-101
Author(s):  
Lola Domnina Pestaño ◽  
John Paul Bautista ◽  
Reizl Leguiab ◽  
Sean Danielle Puri
Keyword(s):  
Drying Kinetics ◽  
Hot Air ◽  
Air Dryer ◽  
Kinetics Of

scholarly journals Thin Layer Drying Kinetics of Wheat Grain in a Convective Hot-Air Dryer

2019 ◽  
Vol 10 (2) ◽  
pp. 133-138
Author(s):  
A. Matouk ◽  
A. El-Sayed ◽  
A. Tharwat ◽  
M. Farhan
Keyword(s):  
Thin Layer ◽  
Drying Kinetics ◽  
Wheat Grain ◽  
Hot Air ◽  
Thin Layer Drying ◽  
Air Dryer ◽  
Kinetics Of

Comparison of Drying Characteristics of Green and Black Seedless Grapes using Hot Air Dryer

2016 ◽  
Vol 1 (2) ◽  
Author(s):  
S. P. Singh ◽  
K. S. Jairaj ◽  
K. Srikant
Keyword(s):  
Moisture Content ◽  
Initial Moisture Content ◽  
Ethyl Oleate ◽  
Quality Parameters ◽  
Thompson Seedless ◽  
Drying Characteristics ◽  
Hot Air ◽  
Air Dryer ◽  
Required Quality ◽  
Chimney Effect

Drying characteristics of Thompson seedless (Green) and Sharad seedless (Black) grapes were obtained using a simple laboratory scale hot air dryer. Grapes were dipped for three minutes in a solution prepared by adding 25 g Potassium carbonate and 15 mL Ethyl oleate to 1 liter of distilled water maintained at a temperature of 40°C. Grapes were dried using hot air at a temperature of 60°C and a flow rate of 0.82 mls created by chimney effect. Green grapes with an initial moisture content of 79.94 % required 19 hrs while Black grapes with an initial moisture content of 81.38 % required 27 hrs to reach a final moisture content of 18 % (wet basis). Drying rate constant value for Green grapes was 0.036505 h<sup>-1</sup> while that for Black grapes was 0.024793 h<sup>-1</sup> . Raisins produced from both variety grapes possessed all the required quality parameters acceptable in the international market.

scholarly journals Optimization of the Frying Temperature and Time for Preparation of Healthy Falafel Using Air Frying Technology

Foods ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 2567
Author(s):  
Mohammad Fikry ◽  
Ibrahim Khalifa ◽  
Rokkaya Sami ◽  
Ebtihal Khojah ◽  
Khadiga Ahmed Ismail ◽  
...  
Keyword(s):  
Moisture Content ◽  
Fat Content ◽  
Frying Temperature ◽  
Simplified Models ◽  
Frying Process ◽  
Hot Air ◽  
L Value ◽  
Time Periods ◽  
Air Circulation ◽  
Best Fit

Air-frying is an innovative technique for food frying that uses hot air circulation to prepare healthy products. The objectives of this study were to establish simplified models to reflect the efficacy of the air frying process at varying temperatures and times on the quality attributes of falafel, and to optimize the frying conditions for producing air-fried falafel. Moisture content, color, fat content, hardness, and sensory evaluation of the fried falafel were analyzed under varied temperatures (140 °C, 170 °C, and 200 °C) and time periods (5 min, 10 min, and 15 min). Statistical analysis was then applied to obtain the best fit model that can describe the properties of fried falafel. Results indicated that moisture content, fat content, and L*-value of air-fried falafel were adversely related to the frying temperature and time, but the hardness and ΔE of fried falafel were increased as the frying temperature and time increased. Moreover, an increase followed by a decrease was shown for the appearance, aroma, crispness, taste, and overall preference scores with the increase in frying temperature and time. The regression analysis showed that the proposed models could be properly used for predicting the properties of the fried falafel. In addition, the overlaid plots resulted in the optimum frying temperature of 178.8 °C and time of 11.1 min. Interestingly, the fat content of the air-fried falafel reduced by 45% at optimal frying conditions compared with that for the deep-fat fried one at 180 °C for 7 min (control). In comparison, the air-fried falafel was lower in fat content, higher in hardness with more acceptable appearance and crispness scores than deep-fat fried falafel. Such information could be beneficial to the manufacturers of the falafel to produce an optimal and healthy product.

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