scholarly journals Multi-objective optimization of the apple drying and rehydration processes parameters

2018 ◽  
pp. 1 ◽  
Author(s):  
Radosław Winiczenko, Janaszek-Mankowska
Keyword(s):  
Volume Ratio ◽  
Quality Parameters ◽  
Absorption Capacity ◽  
Multi Objective ◽  
Dry Matter Loss ◽  
Multi Objective Genetic Algorithm ◽  
Mathematical Formulas ◽  
Apple Tissue ◽  
Artificial Neural Network Ann

The aim of the paper is to investigate the effect of drying and rehydration parameters on the quality of rehydrated apples and to optimize these parameters based on quality of the rehydrated products. Hybrid artificial neural network (ANN) and multi-objective genetic algorithm (MOGA) method were successfully developed to model, simulate, and optimize the drying and rehydration parameters. This method was applied to the apple tissue, where the simultaneous maximization of the volume ratio (VR) and water absorption capacity (WAC) and the minimization of colour difference (CD) and dry matter loss (DML) were considered. The range of drying and rehydration parameters was: 50-70°C (drying temperature, Td), 0.01-6 m×s-1(drying air velocity, V), and 20-95°C (rehydration temperature, Tr). Additionally, the mathematical formulas for determing the quality parameters of rehydrated apple were developed. The best solution has been found only for: CD, VR, WAC (50.1°C for Td, 0.03 m×s-1 for V, and 67.5°C for Tr). The values of CD, VR, and WAC were predicted as 1.20, 53.2% and 0.57 respectively. It has been observed that DML was always conflicting with other quality parameters.

scholarly journals Apple Cubes Drying and Rehydration. Multiobjective Optimization of the Processes

2018 ◽  
Vol 10 (11) ◽  
pp. 4126 ◽  
Author(s):  
Radosław Winiczenko ◽  
Krzysztof Górnicki ◽  
Agnieszka Kaleta ◽  
Monika Janaszek-Mańkowska ◽  
Aneta Choińska ◽  
...  
Keyword(s):  
Hybrid Methods ◽  
Volume Ratio ◽  
Color Difference ◽  
Maximum Error ◽  
Quality Parameters ◽  
Absorption Capacity ◽  
Convective Drying ◽  
Water Ph ◽  
Mathematical Formulas ◽  
Apple Quality

The effect of convective drying temperature (Td), air velocity (v), rehydration temperature (Tr), and kind of rehydrating medium (pH) was studied on the following apple quality parameters: water absorption capacity (WAC), volume ratio (VR) color difference (CD). To model, simulate, and optimize parameters of the drying and rehydration processes hybrid methods artificial neural network and multiobjective genetic algorithm (MOGA) were developed. MOGA was adapted to the apple tissue, where the simultaneous minimization of CD and VR and the maximization of WAC were considered. The following parameters range were applied, 50 ≤ Td ≤ 70 °C and 0.01 ≤ v ≤ 6 m/s for drying and 20 ≤ Tr ≤ 95 °C for rehydration. Distilled water (pH = 5.45), 0.5% solution of citric acid (pH = 2.12), and apple juice (pH = 3.20) were used as rehydrating media. For determining the rehydrated apple quality parameters the mathematical formulas were developed. The following best result was found. Td = 50.1 °C, v = 4.0 m/s, Tr = 20.1 °C, and pH = 2.1. The values of WAC, VR, and CD were determined as 4.93, 0.44, and 0.46, respectively. Experimental verification was done, the maximum error of modeling was lower than 5.6%.

scholarly journals Drying kinetics and quality of tray dried peanut milk residue

Food Research ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 106-112
Author(s):  
B. Sanika ◽  
P. Poojitha ◽  
P. Gurumorrthi ◽  
K.A. Athmaselvi
Keyword(s):  
Water Solubility ◽  
Chemical Properties ◽  
Quality Parameters ◽  
Absorption Capacity ◽  
Drying Kinetics ◽  
Different Temperatures ◽  
Sensory Analyses ◽  
Physical And Chemical ◽  
Best Fit

The research was aimed to prepare muffins using groundnut milk residue. Groundnut or Peanut (Arachis hypogaea) is one of the most consumed legumes in the world. Groundnut is also a prominent source of plant-based milk. The groundnut milk was prepared by the conventional method with 1:2 ratio of water. The residue was tray-dried at different temperatures (60, 70, 80°C) to study the drying kinetics. Physical and chemical properties of optimized groundnut milk residue powder were analysed. Muffins were developed using milk residue. Quality parameters and sensory analyses were also done for the product obtained from milk residue. The results indicated that groundnut milk residue dried at 70ºC had less water absorption capacity and more water solubility index. Also, the powder retained colour when dried at 70°C. The experimental data were fitted to five mathematical models. Wang and Singh's model was found to have the best fit with R2 value of 0.9932. The increase in temperature promotes drying at a faster rate.

scholarly journals The Utilization of Gracilaria verrucosa as shrimp ponds wastewater biofilter

2020 ◽  
Vol 147 ◽  
pp. 02023
Author(s):  
Cindy Martiana Trianti ◽  
Ratih Ida Adharini
Keyword(s):  
Inorganic Nitrogen ◽  
Quality Parameters ◽  
Absorption Capacity ◽  
Gracilaria Verrucosa ◽  
Nitrogen And Phosphorus ◽  
Shrimp Pond ◽  
Randomized Design ◽  
Before And After ◽  
The Difference

Gracilaria verrucosa as biofilter can absorb and utilize inorganic nitrogen and phosphorus contained in pollutants for its growth. This research aims to know the ability of G. verrucosa as shrimp pond waste biofilter, to know the difference in the quality of shrimp pond wastewater before and after treatment, and to learn more about the absorption capacity of G. verrucosa capability against shrimp pond wastewater. The experiment was conducted on a laboratory scale using a Completely Randomized Design (CRD) consisting of four treatments with three replications using G. verrucosa of different weights which were 100 g, 150 g, 200 g, and controls. The parameters observed in the study were water quality parameters, seaweed biomass, and seaweed absorption. The results obtained were temperature 27.2–30.1°C, TSS 7–76 mg.L-1, pH 7.42–8.83, salinity 16–18 ppt, DO 1.7–5.3 mg.L-1, biomass 74–210.7 g, ammonia effectively decreased on 10th day by 90%, nitrate on 20th day was 22.2% and phosphate value on 30th day was 20.1%. G. verrucosa absorbed nitrogen (N) 0.08% and phosphorus (P) 0.35%. G. verrucosa is potential as a biofilter and can be used as a species candidate for IMTA system.

Effect of premilling treatments on wheat gluten extraction and noodle quality

2018 ◽  
Vol 24 (7) ◽  
pp. 627-636 ◽  
Author(s):  
Ravinder Kaushik ◽  
Prince Chawla ◽  
Naveen Kumar ◽  
Sandeep Janghu ◽  
Amit Lohan
Keyword(s):  
Wheat Gluten ◽  
Quality Parameters ◽  
Absorption Capacity ◽  
Wheat Cultivars ◽  
Wheat Varieties ◽  
Gluten Quality ◽  
Gluten Content ◽  
Wheat Flours ◽  
Noodle Quality

Wheat cultivars were treated by four different treatments and their flours were obtained after milling. The quality of the obtained wheat flours was determined using various quality parameters and it was observed that premilling treatments significantly affect the gluten content, wet and dry gluten yield, gluten index, and water absorption capacity of gluten, respectively. Acid-treated wheat flours of all the four wheat varieties (C-306, Raj-3765, PBW-343, and KW-11) showed lower gluten content and quality, whereas conditioning and yeast treatment improve gluten quality as well as its content. Flours obtained after premilling treatments were also utilized for noodle preparation and their sensory and quality parameters were also determined. Also, it was observed that yeast treatment and conditioning improved the noodle quality, whereas acid treatment deteriorates the noodle quality in comparison to tempering. The cultivar PBW-343 produced the best quality noodle among four wheat cultivars. In different milling treatments acid-treated flours of all cultivars showed lowest sensory and quality characteristics, while yeast treatment showed highest.

Quality of ram spermatozoa separated with modified swim up method

2018 ◽  
Vol 33 (2) ◽  
pp. 62-70 ◽  
Author(s):  
A Hossain ◽  
MM Islam ◽  
F Naznin ◽  
RN Ferdousi ◽  
FY Bari ◽  
...  
Keyword(s):  
Semen Quality ◽  
Membrane Integrity ◽  
Quality Parameters ◽  
Fluid Medium ◽  
Normal Morphology ◽  
The Mean ◽  
Mass Activity ◽  
Fresh Semen ◽  
Artificial Vagina

Semen was collected from four rams, using artificial vagina and viability%, motility% and plasma membrane integrity% were measured. Fresh ejaculates (n = 32) were separated by modified swim-up separation using modified human tubal fluid medium. Four fractions of supernatant were collected at 15-minute intervals. The mean volume, mass activity, concentration, motility%, viability%, normal morphology and membrane integrity% (HOST +ve) of fresh semen were 1.0 ± 0.14, 4.1 ± 0.1 × 109 spermatozoa/ml, 85.0 ± 1.3, 89.4 ± 1.0, 85.5 ± 0.7, 84.7 ± 0.5 respectively. There was no significant (P>0.05) difference in fresh semen quality parameters between rams. The motility%, viability% and HOST +ve % of first, second, third and fourth fractions were 53.4 ± 0.5, 68.2 ± 0.3, 74.8 ± 0.3 and 65.5 ± 0.4; 55.5 ± 0.4, 66.2 ± 0.4, 74.5 ± 0.3 and 73.6 ± 0.3 and 66.7 ± 0.5, 66.8 ± 0.5, 65.2 ± 0.4 and 74.7 ± 0.5 respectively. The motility%, viability% and membrane integrity% of separated semen samples differed significantly (P<0.05) between four fractions. The mean motility% and viability% were significantly higher (P<0.05) in third fraction (74.8 ± 0.3%), whereas the mean HOST +ve% was significantly higher (P<0.05) in fourth fraction (74.7 ± 0.5). All quality parameters of separated spermatozoa were significantly (P<0.05) lower than that of fresh semen. The pregnancy rates were higher with fresh semen (71%) in comparison to that of separated sample (57%).Bangl. vet. 2016. Vol. 33, No. 2, 62-70

Yield and Seed quality of barley (Hordeum vulgare L.) as affected by variety, nitrogen level and harvesting time

2014 ◽  
Vol 2 (2) ◽  
pp. 93-100
Author(s):  
Shahnaj Yesmina ◽  
Moushumi Akhtarb ◽  
Belal Hossain
Keyword(s):  
Grain Yield ◽  
Seed Weight ◽  
Seed Quality ◽  
Quality Parameters ◽  
Nitrogen Level ◽  
Yield Attributes ◽  
Harvesting Time ◽  
Nitrogen Levels ◽  
Vigour Index

The experiment was conducted to find out the effect of variety, nitrogen level and harvesting time on yield and seed quality of barley. The treatments used in the experiment consisted of two varieties viz. BARI Barley 4 and BARI Barley 5, three harvesting time viz. 35, 40 and 45 Days after Anthesis (DAA) and nitrogen levels viz. 0, 70, 85 and 100 kg N ha-1 . The experiment was laid out in a spilt- spilt-plot design with three replications assigning the variety to the main plot, harvesting time to the sub-plots and nitrogen level to the sub-sub plots. Variety had significant effects on the all yield attributes except fertile seeds spike-1 . Seed quality parameters viz. normal seeds spike-1 , deformed seeds spike-1 , germination (%) and vigour index were statistically significant. The variety BARI Barley 5 produced higher grain yield and seed quality than BARI Barley 4. Grain yield from BARI Barley 5 and BARI Barley 4 were 4.59 t ha-1 and 4.24 t ha-1 , respectively. Significantly, the highest 1000-seed weight (46.90 g) was produced by BARI Barley 5 than (37.90 g) BARI Barley 4. The result revealed that harvesting time had significant effect on yield and yield attributes and seed quality parameters. Seed yield was highest (4.65 t ha-1 ) when the crop harvested at 40 DAA and it was increased linearly from 35 DAA. Maximum quality seed and 1000-seed weight (43.20 g) was obtained when the crop harvested at 40 DAA. All the yields, yield attributes and seed quality parameters were significantly influenced by nitrogen levels. The highest grain yield (5.14 t ha-1 ) was obtained when BARI Barley 5 variety was fertilized by 100 kg N ha-1 and the lowest (3.14 t ha-1 ) was obtained from control treatments. Normal seeds spike-1 , vigour index, germination (%) were better at 85 kg N ha-1 in variety of BARI Barley 5 than BARI Barley 4. So it can be concluded that BARI Barley 5 showed better result when fertilized with 100 kg N ha-1 and harvested at 40 DAA for getting maximum yield and 85 kg N ha-1 and harvested at 40 DAA for getting better quality seed.

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