Modeling the kinetics of essential oil content and main constituents of mint ( Mentha aquatica L.) leaves during thin‐layer drying process using Response Surface Methodology

2021 ◽  
Author(s):  
Amin Taheri‐Garavand ◽  
Hasan Mumivand ◽  
Soodabeh Fatahi ◽  
Amin Nasiri ◽  
Mahmoud Omid
Keyword(s):  
Response Surface Methodology ◽  
Essential Oil ◽  
Thin Layer ◽  
Response Surface ◽  
Oil Content ◽  
Drying Process ◽  
Mentha Aquatica ◽  
Thin Layer Drying ◽  
Kinetics Of

scholarly journals Thin layer drying kinetics of lemon verbena leaves: a quality assessment and mathematical modeling

2021 ◽  
Vol 13 (1) ◽  
pp. 59-72
Author(s):  
Javid Ghasemi ◽  
Mehdi Moradi ◽  
Sayed Hossein Karparvarfard ◽  
Mohammad Taghi Golmakani ◽  
Amin Mousavi Khaneghah
Keyword(s):  
Essential Oil ◽  
Thin Layer ◽  
Drying Kinetics ◽  
Oil Yield ◽  
Air Velocity ◽  
Drying Time ◽  
Thin Layer Drying ◽  
Kinetics Of ◽  
Essential Oil Yield ◽  
Lemon Verbena

The thin-layer drying kinetics of lemon verbena leaves were studied by using a solar cabinet dryer at air tempera-ture (at three levels of 30, 40, and 50°C), air velocity (at three levels of 2, 2.5, and 3 m/s), and mesh tray size (3, 6, and 10 mm). A completely randomized factorial design was used to analyze the effect of independent factors on drying time and essential oil yield. Results showed that all experiments have shorter drying time and higher essen-tial oil content than the shade-drying method. Also, the best drying conditions that led to an optimal essential oil yield (1.73 mL/g DM) involved a lower temperature (30°C) and velocity (2 m/s) and a mesh size of 10 mm. A good adaptation between the experimental and the predicted moisture content was observed, whereby the statistical criteria of R2, root mean square error, and k2 were calculated as 0.99, 0.08, and 0.01, respectively. Practical applicationsIn the current study, the effect of different drying states such as air velocity and drying temperature was studied on the drying behaviors and essential oil contents of lemon verbena leaves. The obtained results can lead us to a suitable drying condition that can be used in the subsequent designation of systems. Also, a mathematical model for the pre-diction of the leaves’ drying kinetics was constructed and evaluated, which could be approached in the drying systems.

Modelling of thin layer drying kinetics of some fruits under open-air sun drying process

2004 ◽  
Vol 65 (3) ◽  
pp. 413-425 ◽  
Author(s):  
İnci Türk Toğrul ◽  
Dursun Pehlivan
Keyword(s):  
Thin Layer ◽  
Drying Kinetics ◽  
Drying Process ◽  
Sun Drying ◽  
Thin Layer Drying ◽  
Kinetics Of

scholarly journals Modelling and characteristics of thin layer convective air-drying of thyme (Thymus vulgaris) leaves

2019 ◽  
Vol 37 (No. 2) ◽  
pp. 128-134
Author(s):  
Osman Yağız Turan ◽  
Ebru Fıratlıgil
Keyword(s):  
Thin Layer ◽  
Goodness Of Fit ◽  
Food Preservation ◽  
Moisture Ratio ◽  
Coefficient Of Determination ◽  
Thymus Vulgaris ◽  
Drying Process ◽  
Thin Layer Drying ◽  
Drying Models ◽  
Kinetics Of

Fruit and vegetable dehydration has been extensively studied for the improvement of food preservation. Effects of drying temperature on the drying kinetics of thyme were investigated and a suitable drying model was obtained to describe the drying process. Drying behaviour of thyme leaves at temperatures of 50, 60, 70 and 80°C was determined by using a conventional drying oven, and moisture ratio and drying rates were calculated. Four different thin layer drying models, namely Lewis, Henderson and Pabis, Page, and logarithmic models, were used to fit the experimental moisture ratio data. Three statistical parameters: coefficient of determination (R<sup>2</sup>), chi-square (χ<sup>2</sup>) and root mean square error (RMSE) were used to compare the goodness of fit of the drying models. Logarithmic model and Page model give the best description of the drying process kinetics of thyme leaves by comparing the experimental values and predicted values.

Influence of Thin Layer Drying on the Essential Oil Content and Composition ofLavandula officinalis

2016 ◽  
Vol 19 (6) ◽  
pp. 1537-1546 ◽  
Author(s):  
Seyed Fazel Mirahmadi ◽  
Reza Norouzi
Keyword(s):  
Essential Oil ◽  
Thin Layer ◽  
Oil Content ◽  
Thin Layer Drying

Response Surface Methodology towards Optimization of Calotropis Procera Essential oil Extraction by using Supercritical CO2.

2019 ◽  
Vol 09 ◽  
Author(s):  
Hossein Zaeri ◽  
Bahareh Kamyab Moghadas ◽  
Bijan Honarvar ◽  
Ali Shokuhi Rad
Keyword(s):  
Response Surface Methodology ◽  
Essential Oil ◽  
Response Surface ◽  
Extraction Time ◽  
Calotropis Procera ◽  
Retrieval Rate ◽  
The Family ◽  
Effects Of Temperature ◽  
Carbon Dioxide Co2 ◽  
Central Composite

: In this research, the extraction of essential oil from Calotropis Procera with the family name of Asclepiadaceae, by supercritical carbon dioxide (CO2) solvent has been investigated in detail, and the yield and chemical profile of the extracts achieved by this method were compared with those resulted by the conventional Hydro distillation method. To optimize the process parameters of CO2 supercritical extraction (SCE) of the Calotropis Procera, the Response Surface Methodology (RSM) with central composite design (CCD) was employed. The effects of temperature, pressure, and extraction time on the oil yield are considered for investigation. Results showed that the data were sufficiently fitted into the second-order polynomial model. The extraction conditions, including pressure, temperature, and extraction time, were studied between 150-200 bar, 40-50 ºC, and 50-100 min, respectively. The optimal conditions are achieved as the temperature of 47.19ºC, the pressure of 172.2 bar, and time of 86 minutes with the retrieval rate of 31.39%.

Optimization of the spray-drying process for developing guava powder using response surface methodology

2014 ◽  
Vol 253 ◽  
pp. 230-236 ◽  
Author(s):  
Vaibhav Patil ◽  
Anil Kumar Chauhan ◽  
Ravi Pratap Singh
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Spray Drying ◽  
Drying Process
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