Osmotic Dehydration of Pumpkin Using Response Surface Methodology -Influences of Operating Conditions on Water Loss and Solute Gain

Osmotic dehydration of chestnut slices in sucrose was optimized for the first time by Response Surface Methodology (RSM). Experiments were planned according to a three-factor central composite design (α=1.68), studying the influence of sucrose concentration, temperature and time, on the following parameters: volume ratio, water activity, color variation, weight reduction, solids gain, water loss and normalized moisture content, as well as total moisture, ash and fat contents. The experimental data was adequately fitted into second-order polynomial models with coefficients of determination (R2) from 0.716 to 0.976, adjusted-R2 values from 0.460 to 0.954, and non-significant lacks of fit. The optimal osmotic dehydration process conditions for maximum water loss and minimum solids gain and color variation were determined by the “Response Optimizer” option: 83% sucrose concentration, 20 °C and 9.2 hours. Thus, the best operational conditions corresponded to high sugar concentration and low temperature, improving energy saving and decreasing the process costs.

Download Full-text

Optimization of Osmotic Dehydration of Radish in Salt Solution Using Response Surface Methodology

International Journal of Food Engineering ◽

10.2202/1556-3758.1584 ◽

2009 ◽

Vol 5 (3) ◽

Cited By ~ 2

Author(s):

Manivannan Petchi ◽

Rajasimman Manivasagan

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Salt Solution ◽

Water Loss ◽

Weight Reduction ◽

Osmotic Dehydration ◽

Dehydration Process ◽

Initial Sample ◽

Solid Gain ◽

Sample Ratio

Response surface methodology was used to determine the optimum processing conditions that yield maximum water loss and weight reduction and minimum solid gain during osmotic dehydration of radish in salt solution. The experiments were conducted according to Central Composite Design (CCD). The independent process variables for osmotic dehydration process were temperature (25 45°C), processing time (30 -150 minutes), salt concentrations (5 - 25% w/w) and solution to sample ratio (5:1 25:1). The osmotic dehydration process was optimized for water loss, solid gain, and weight reduction. The optimum conditions were found to be: temperature 36°C, immersion time - 95 min, salt concentration 25% and solution to sample ratio 15:1. At this optimum point, water loss, solid gain and weight reduction were found to be 34.5 (g/100 g initial sample), 2.2 (g/100 g initial sample) and 32.1 (g/100 g initial sample), respectively.

Download Full-text

Efficiency of Osmotic Dehydration of Pomegranate Seeds in Polyols Solutions Using Response Surface Methodology

Horticulturae ◽

10.3390/horticulturae7090268 ◽

2021 ◽

Vol 7 (9) ◽

pp. 268

Author(s):

Brahim Bchir ◽

Haifa Sebii ◽

Sabine Danthine ◽

Christophe Blecker ◽

Souhail Besbes ◽

...

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Water Loss ◽

Weight Reduction ◽

Osmotic Dehydration ◽

Effective Diffusivity ◽

Dehydration Process ◽

Solid Gain ◽

Pomegranate Seeds ◽

Comparison Of The Results

This study investigates the influence of polyol compounds (sorbitol and erythritol) on the osmotic dehydration process of pomegranate seeds. The efficacy of the osmotic dehydration process was estimated based on the determination of water loss, weight reduction, solid gain, and effective diffusivity and also through a comparison of the results obtained between sucrose and polyol osmotic solutions. Response surface methodology was used to optimize the osmotic process. Quality attributes of pomegranate seeds were determined through the assessment of physical (texture and color) characteristics. This innovative research applies alternative solutions in the osmotic process, which until now, have not been commonly used in the osmotic dehydration of pomegranate seeds processing by researchers worldwide. Results revealed the excellent correlation of experimental values with the model. Erythritol and sorbitol exhibit stronger efficiency than sucrose. However, erythritol was not satisfactory due to the high solid gain. Therefore, the sorbitol osmotic agent seems to be the most suitable for the osmotic dehydration of pomegranate seeds. The optimal condition for maximum water loss (38.61%), weight reduction (37.77%), and effective diffusivity (4.01 × 10−8 m2/s) and minimum solid gain (−0.37%) were 13.03 min, 27.77 °Brix, and 37.7 °C, using a sorbitol solution. Results of texture and color revealed the major impact of erythritol and sorbitol osmotic agents on seed characteristics during the osmotic dehydration process.

Download Full-text

Optimization of Osmotic Dehydration of Seedless Guava (Psidium guajava L.) in Sucrose Solution using Response Surface Methodology

International Journal of Food Engineering ◽

10.1515/ijfe-2012-0117 ◽

2014 ◽

Vol 10 (2) ◽

pp. 307-316 ◽

Cited By ~ 7

Author(s):

Ali Ganjloo ◽

Russly A. Rahman ◽

Jamilah Bakar ◽

Azizah Osman ◽

Mandana Bimakr

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Water Loss ◽

Weight Reduction ◽

Immersion Time ◽

Sucrose Solution ◽

Osmotic Dehydration ◽

Optimum Process ◽

Process Conditions ◽

Solid Gain

Abstract In this study, osmotic dehydration of seedless guava was studied through response surface methodology. Seedless guava cubes were dehydrated in sucrose solution at different concentration (30–50% w/w), temperature (30–50°C) and immersion time (15–240 min) with respect to weight reduction, solid gain and water loss. A Box–Behnken design was used to determine the optimum processing conditions that yield maximum weight reduction, water loss and minimum solid gain. The models developed for all responses were significant (p<0.05). The response surface plots were constructed to show the interaction of process variables. Optimum process conditions were found to be sucrose concentration of 33.79% w/w, temperature of 30.00°C and immersion time of 240 min through desirability function method. At these optimum points, weight reduction, solid gain and water loss were found to be 0.189 (gg−1), 0.050 (gg−1) and 0.237 (gg−1), respectively.

Download Full-text

Optimization of Osmotic Dehydration of Toona Sinensis Leaves Using Response Surface Methodology

International Journal of Food Engineering ◽

10.2202/1556-3758.1486 ◽

2008 ◽

Vol 4 (6) ◽

Cited By ~ 1

Author(s):

Changlu Wang ◽

Lu Li ◽

Zhanyong Li ◽

Changjin Liu ◽

Mianhua Chen

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Salt Concentration ◽

Water Loss ◽

Immersion Time ◽

Osmotic Dehydration ◽

Sucrose Concentration ◽

Optimal Solution ◽

Solid Gain ◽

Toona Sinensis

Toona Sinensis leaves were dehydrated by osmosis. The effects of temperature, immersion time, sucrose and salt concentration on water loss and solid gain during osmotic dehydration were investigated by response surface methodology. Consequently, second order polynomial models were developed for water loss and solid gain as a function of the experimental parameters. By applying Excels Solver feature, an optimal solution for maximum water loss and minimum solid gain was given at temperature of 30oC, sucrose concentration of 50%, salt concentration of 10%, and immersion time of 4 hours.

Download Full-text

Effective Chromium Adsorption From Aqueous Solutions and Tannery Wastewater Using Bimetallic Fe/Cu Nanoparticles: Response Surface Methodology and Artificial Neural Network

Air Soil and Water Research ◽

10.1177/11786221211028162 ◽

2021 ◽

Vol 14 ◽

pp. 117862212110281

Author(s):

Ahmed S. Mahmoud ◽

Nouran Y. Mohamed ◽

Mohamed K. Mostafa ◽

Mohamed S. Mahmoud

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Industrial Effluent ◽

Oxygen Demand ◽

Operating Conditions ◽

Tannery Wastewater ◽

P Value ◽

Cu Nanoparticles ◽

Artificial Neural ◽

Cr Removal

Tannery industrial effluent is one of the most difficult wastewater types since it contains a huge concentration of organic, oil, and chrome (Cr). This study successfully prepared and applied bimetallic Fe/Cu nanoparticles (Fe/Cu NPs) for chrome removal. In the beginning, the Fe/Cu NPs was equilibrated by pure aqueous chrome solution at different operating conditions (lab scale), then the nanomaterial was applied in semi full scale. The operating conditions indicated that Fe/Cu NPs was able to adsorb 68% and 33% of Cr for initial concentrations of 1 and 9 mg/L, respectively. The removal occurred at pH 3 using 0.6 g/L Fe/Cu dose, stirring rate 200 r/min, contact time 20 min, and constant temperature 20 ± 2ºC. Adsorption isotherm proved that the Khan model is the most appropriate model for Cr removal using Fe/Cu NPs with the minimum error sum of 0.199. According to khan, the maximum uptakes was 20.5 mg/g Cr. Kinetic results proved that Pseudo Second Order mechanism with the least possible error of 0.098 indicated that the adsorption mechanism is chemisorption. Response surface methodology (RSM) equation was developed with a significant p-value = 0 to label the relations between Cr removal and different experimental parameters. Artificial neural networks (ANNs) were performed with a structure of 5-4-1 and the achieved results indicated that the effect of the dose is the most dominated variable for Cr removal. Application of Fe/Cu NPs in real tannery wastewater showed its ability to degrade and disinfect organic and biological contaminants in addition to chrome adsorption. The reduction in chemical oxygen demand (COD), biological oxygen demand (BOD), total suspended solids (TSS), total phosphorus (TP), total nitrogen (TN), Cr, hydrogen sulfide (H2S), and oil reached 61.5%, 49.5%, 44.8%, 100%, 38.9%, 96.3%, 88.7%, and 29.4%, respectively.

Download Full-text

Modeling and Sensitivity Analysis of the Forward Osmosis Process to Predict Membrane Flux Using a Novel Combination of Neural Network and Response Surface Methodology Techniques

Membranes ◽

10.3390/membranes11010070 ◽

2021 ◽

Vol 11 (1) ◽

pp. 70

Author(s):

Jasir Jawad ◽

Alaa H. Hawari ◽

Syed Javaid Zaidi

Keyword(s):

Response Surface Methodology ◽

Experimental Design ◽

Response Surface ◽

Forward Osmosis ◽

Feed Solution ◽

Operating Conditions ◽

Ann Model ◽

Membrane Flux ◽

Input Variables ◽

Rsm Model

The forward osmosis (FO) process is an emerging technology that has been considered as an alternative to desalination due to its low energy consumption and less severe reversible fouling. Artificial neural networks (ANNs) and response surface methodology (RSM) have become popular for the modeling and optimization of membrane processes. RSM requires the data on a specific experimental design whereas ANN does not. In this work, a combined ANN-RSM approach is presented to predict and optimize the membrane flux for the FO process. The ANN model, developed based on an experimental study, is used to predict the membrane flux for the experimental design in order to create the RSM model for optimization. A Box–Behnken design (BBD) is used to develop a response surface design where the ANN model evaluates the responses. The input variables were osmotic pressure difference, feed solution (FS) velocity, draw solution (DS) velocity, FS temperature, and DS temperature. The R2 obtained for the developed ANN and RSM model are 0.98036 and 0.9408, respectively. The weights of the ANN model and the response surface plots were used to optimize and study the influence of the operating conditions on the membrane flux.

Download Full-text

Optimization of biodiesel synthesis under simultaneous ultrasound-microwave irradiation using response surface methodology (RSM)

Green Processing and Synthesis ◽

10.1515/gps-2015-0029 ◽

2015 ◽

Vol 4 (4) ◽

Cited By ~ 3

Author(s):

Seyed Mohammad Safieddin Ardebili ◽

Teymor Tavakoli Hashjin ◽

Barat Ghobadian ◽

Gholamhasan Najafi ◽

Stefano Mantegna ◽

...

Keyword(s):

Response Surface Methodology ◽

Microwave Irradiation ◽

Response Surface ◽

Palm Oil ◽

Catalyst Concentration ◽

Irradiation Time ◽

Operating Conditions ◽

Molar Ratio ◽

Reaction Conditions ◽

Biodiesel Synthesis

AbstractThis work investigates the effect of simultaneous ultrasound-microwave irradiation on palm oil transesterification and uncovers optimal operating conditions. Response surface methodology (RSM) has been used to analyze the influence of reaction conditions, including methanol/palm oil molar ratio, catalyst concentration, reaction temperature and irradiation time on biodiesel yield. RSM analyses indicate 136 s and 129 s as the optimal sonication and microwave irradiation times, respectively. Optimized parameters for full conversion (97.53%) are 1.09% catalyst concentration and a 7:3.1 methanol/oil molar ratio at 58.4°C. Simultaneous ultrasound-microwave irradiation dramatically accelerates the palm oil transesterification reaction. Pure biodiesel was obtained after only 2.2 min while the conventional method requires about 1 h.

Download Full-text