Modelling the Effects of Feed Moisture and Ingredient Variations on the Physical Properties and Functional Characteristics of Extruded Sorghum-Groundnut-Cowpea Blends using Response Surface Methodology

2010 ◽  
Vol 6 (4) ◽  
Author(s):  
Emmanuel K. Asare ◽  
Samuel Sefa-Dedeh ◽  
Emmanuel Ohene Afoakwa ◽  
Esther Sakyi-Dawson ◽  
Agnes S. Budu
Keyword(s):  
Response Surface Methodology ◽  
Physical Properties ◽  
Water Absorption ◽  
Bulk Density ◽  
Response Surface ◽  
Functional Properties ◽  
Colour Change ◽  
Expansion Ratio ◽  
Functional Characteristics ◽  
Feed Moisture

Central composite rotatable design for k = 3 was used to study the combined effect of feed moisture (12-44%), cowpea concentration (0-20%) and groundnut concentration (0-10%) on the physical and functional properties of extruded sorghum-legume blends in a single screw extruder using response surface methodology. Product expansion ratio, bulk density, total colour change, water absorption capacities at 27°C and 90°C and swelling capacities were determined on the products using standard analytical methods. Expansion ratio, bulk density and total colour of extrudates from the sorghum-legume blends decreased with increasing feed moisture. Increasing the concentration of legumes in the product increased the water absorption capacities at 27°C and 70°C and increased swelling capacities due to the gel forming ability of the macromolecules (proteins and starch) in the products and availability of hydrophilic groups to bind water molecules, thus enhancing the functional properties of the blends. Models developed for the indices gave R2-values ranging from 61.6% (for water absorption capacity at 27°C) to 89.9% (for bulk density) with insignificant lack of fits indicating the adequacy of the model in explaining the data. The optimal conditions noted for producing the puffed extruded snack products with better physical properties and functional characteristics from sorghum-groundnut-cowpea blends were at 16-18% feed moisture, 14-16% cowpea and 6-8% groundnut additions.

scholarly journals Effect of Different Extrusion Processing Parameters on Physical Properties of Soy White Flakes and High Protein Distillers Dried Grains-Based Extruded Aquafeeds

2014 ◽  
Vol 3 (6) ◽  
pp. 107 ◽  
Author(s):  
Sushil K. Singh ◽  
K. Muthukumarappan
Keyword(s):  
Physical Properties ◽  
Water Absorption ◽  
Bulk Density ◽  
Water Solubility ◽  
Expansion Ratio ◽  
High Protein ◽  
Regression Equations ◽  
Process Variables ◽  
Distillers Dried Grains ◽  
Durability Index

<p>Nutritionally balanced ingredient blends for catla (<em>Catla catla</em>), belonging to the family Cyprinidae, were extruded using single screw extruder. The extrusion was carried out at five levels of soy white flakes content (21%, 29%, 40%, 52%, and 59% db), five levels of moisture content (15, 19, 25, 31, and 35% db) and five levels of barrel temperature (100, 110, 125, 140, and 150 ºC) using three different die nozzles (having L/D ratios 3.33, 5.83, and 7.25). Blends with net protein content of 32.5% contains soy white flakes, along with high protein distillers dried grains (HP-DDG), corn flour, corn gluten meal, fish meal, vitamin, and mineral mix. A central composite rotatable design (CCRD) and  response surface methodology (RSM) was used to investigate the significance of independent and interaction effects of the extrusion process variables on the extrudates physical properties namely pellet durability index, bulk density, water absorption and solubility indices and expansion ratio. Quadratic polynomial regression equations were developed to correlate the product responses and process variables as well as to obtain the response surfaces plots. The independent variables had significant (<em>P </em>&lt; 0.05) effects on physical properties of extrudates: (i) higher soy white flakes content increased the pellet durability index and water absorption index, but decreased the water solubility index, (ii) higher temperature decreased pellet durability index, bulk density and water solubility index, (iii) increased L/D ratio from 3.33 to 7.25 increased the pellet durability index, expansion ratio but decreased the bulk density of the extrudates.</p>

scholarly journals Use of response surface methodology (RSM) for composite blends of low grade broken rice fractions and full-fat soybean flour by a twin-screw extrusion cooking process

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Nahemiah Danbaba ◽  
Iro Nkama ◽  
Mamudu Halidu Badau
Keyword(s):  
Response Surface Methodology ◽  
Bulk Density ◽  
Response Surface ◽  
Extrusion Cooking ◽  
Twin Screw Extrusion ◽  
Screw Extruder ◽  
Broken Rice ◽  
Screw Extrusion ◽  
Twin Screw ◽  
Feed Moisture

In this study, seventeen (17) composite blends of broken rice fractions and full-fat soybean, formulated using response surface methodology and central composite design within a range of barrel temperatures (100-140 °C), initial feed moisture content (15-25%) and soybean composition (8-24%), were extruded with a twin-screw extruder and the expansion and color indices were optimized. The results indicated a significant (p<0.05) effect of extrusion conditions on the responses. Fitted predictive models had coefficients of 88.9%, 95.7%, 97.3%, 95.4% and 95.2%, respectively, for expansion index, bulk density, lightness, redness and yellowness. The p-value and lack-of-fit tests of the models could well explain the observed variability and therefore could be used to establish production setting for the twin-screw extruder. The optimum extrusion conditions were found to be 130 °C (barrel temperature), 20% (feed moisture level) and 23% feed soybean composition and optimum responses in terms of bulk density, expansion index, lightness, redness and yellowness chroma indices were 0.21 g cm-3, 128.9%, 17.1, 3.13 and 24.5 respectively. This indicates that optimum conditions can be established in twin-screw extrusion cooking of broken rice fractions and full-fat soybean composite blends that can result in product of low bulk and maximum expansion with a satisfactory light yellow product color that can be used to produce products that valorize broken rice and reduce qualitative postharvest loss.

Optimization of lupine (Lupinus albus L.) composition, feed moisture content and barrel temperatures for best quality maize based extruded snack food

2019 ◽  
Vol 50 (5) ◽  
pp. 853-869 ◽  
Author(s):  
Muhammed Adem ◽  
Sadik J.A. ◽  
Admasu Worku ◽  
Satheesh Neela
Keyword(s):  
Moisture Content ◽  
Water Absorption ◽  
Bulk Density ◽  
Water Solubility ◽  
Expansion Ratio ◽  
Absorption Index ◽  
Snack Food ◽  
Content Type ◽  
Moisture Contents ◽  
Feed Moisture

Purpose This paper aims to optimize feed moisture contents, barrel temperatures, blending ratios of maize and lupine for processing of protein-rich best quality extruded product using a twin-screw extruder. Design/methodology/approach A three-factor three-level response surface methodology by Box-Behnken Design was applied to evaluate the effect of selected processing conditions of blending ratios of lupine (10-20 per cent), barrel temperatures (120°C-150°C) and feed moisture content (14-18 per cent) on functional, nutritional and sensory characteristics of produced snack food. Findings The results of functional properties such as radial expansion ratio, bulk density, water absorption index, water solubility index observed as 0.71-1.2, 0.33-0.92 g/cc, 4.4-6.4 per cent and 10.2-15.1 per cent, respectively. The snack food showed the moisture 5.6-7.2 per cent, protein 8.1-18.1 per cent, fiber 1.6-2.7 per cent, ash 1.6-2.2 per cent and carbohydrate 64.8-81.4 per cent. The independent variables (lupine blending ratio, barrel temperature and feed moisture content) posed significant effects on expansion ration (p = 0.0030), bulk density (p = 0.0026), water absorption index (p = 0.0075) and water-solubility index (p = 0.0116). Higher blending ratio of lupine was increase in the bulk density and water solubility index, but decrease in expansion ratio and water absorption index of snack food. Higher feed moisture content was led to a reduction in expansion ratio and water-soluble index of snack food. Whereas, higher feed moisture contents was lead to rise in bulk density and water absorption index. Fiber (p = 0.0145), ash (p = 0.0343) and carbohydrate (p = 0.0001) contents were significantly depended on blending ratio. Blending of lupine 15.06 per cent, barrel temperature of 150 °C and feed moisture content of 14.0 per cent produced the snack food with desirability value of 72.8 per cent. Originality/value Protein malnutrition is one of the major problems in child development in under developed countries including Ethiopia. Maize is a top producer in the country but least appreciated for cost. Lupine is one of the undervalued produce consumed in Ethiopia after boiling. Still data on the utilization of maize and lupine in the extruded snack preparation was very limited. Optimization of moisture and barrel temperatures for this snack was not reported clearly yet.

Response Surface Analysis for Preparation of Modified Flours using Twin Screw Extrusion Cooking

2014 ◽  
Vol 10 (3) ◽  
pp. 503-510 ◽  
Author(s):  
Gurkirat Kaur ◽  
Savita Sharma ◽  
Baljit Singh
Keyword(s):  
Bulk Density ◽  
Response Surface ◽  
Mechanical Energy ◽  
Rice Flour ◽  
Expansion Ratio ◽  
Twin Screw Extrusion ◽  
Screw Speed ◽  
Twin Screw ◽  
Specific Mechanical Energy ◽  
Feed Moisture

Abstract Rice flour, wheat flour and flour in combination (rice:wheat::50:50) were used to prepare modified flour using co-rotating twin screw extruder. The effects of barrel temperature, feed moisture and screw speed on product responses (specific mechanical energy[SME], expansion ratio and bulk density) were studied using response surface methodology. Extrusion variables were barrel temperature (125, 150 and 175°C), moisture content (14, 16 and 18%) and screw speed (300, 400 and 500 rpm). Expansion ratio was directly affected by barrel temperature, whereas increase in temperature decreased SME and bulk density. Feed moisture had positive effect on bulk density only, i.e. it increased with increase in moisture. Increase in screw speed was directly related to SME and expansion ratio. The higher R2 values showed that the model developed for the response variables appeared adequate for predictive purposes.

scholarly journals Optimizing Commodity Properties of Extruded Snack Product using RSM

2019 ◽  
Vol 9 (1) ◽  
pp. 3177-3180
Keyword(s):  
Response Surface Methodology ◽  
Optimum Condition ◽  
Bulk Density ◽  
Response Surface ◽  
Statistical Technique ◽  
Product Ratio ◽  
Extruded Product ◽  
Feed Moisture ◽  
Quality Response ◽  
Product Response

Rice legume blends were used for the formulation of an extruded product. Response surface methodology (RSM) being a statistical technique was used to evaluate the effect of cowpea (0-20%), groundnut or peanut (0-10%), and feed moisture (14-48%) levels on quality response (moisture of product, ratio of expansion, bulk density, color) of the extruded product. Responses were formulated by box behnken method. Responses were affected most by changes in legume addition and feed moisture. The optimum condition was estimated as level of cowpea 10.64%, level of groundnut 4.14% and level of feed moisture 35.42%.

scholarly journals Optimisation of the Physical Properties of Rice Husk Ash in Ceramic Materials Using the Response Surface Methodology

2021 ◽  
Vol 49 (1) ◽  
pp. 23-30
Author(s):  
Asotah Wisdom ◽  
Udochukwu Mark ◽  
Elakhame Zeberu ◽  
Abraham Adeleke
Keyword(s):  
Response Surface Methodology ◽  
Specific Gravity ◽  
Physical Properties ◽  
Water Absorption ◽  
Bulk Density ◽  
Firing Temperature ◽  
Rice Husk Ash ◽  
Ceramic Materials ◽  
Linear Shrinkage ◽  
Apparent Porosity

Optimisation of the physical properties of rice husk ash (RHA) in ceramic materials was carried out using Response Surface Methodology. The independent variables, namely the firing temperature and residue content, were statistically combined in a Central Composite Design with the effects on water absorption, linear shrinkage, bulk density, apparent porosity and apparent specific gravity determined. Physical and microstructural analyses were carried out to obtain information on the processes that occurred within the ceramic materials. The results obtained were analysed to determine the optimum physical properties of the ceramic materials within the range investigated. The residue content had a significant influence (at 95% confidence level) on the bulk density, water absorption, apparent porosity and apparent specific gravity but not on the linear shrinkage. The firing temperature had a more significant effect on the linear shrinkage than on the residue content, so that when elevated it contributed to an increase in linear shrinkage. The optimum residue content and firing temperature to enhance physical properties within the range investigated were 5.85% RHA and 1029.64°celsius, respectively. These optimal conditions are expected to produce a ceramic material with a bulk density, linear shrinkage, apparent porosity, water absorption and apparent specific gravity of 1.64 g/cm3, 0.29%, 0.29 g/cm3, 18.26% and 2.11, respectively with a composite desirability of 100%.

scholarly journals Optimization the Physical Properties of Waste Denim Fiber Modified Bio-asphalt Binder Using Response Surface Methodology

2021 ◽  
Vol 1144 (1) ◽  
pp. 012075
Author(s):  
Abdulnaser Al-Sabaeei ◽  
Madzlan Napiah ◽  
Muslich Sutanto ◽  
Wesam Alaloul ◽  
Nur Izzi Md Yusoff ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Physical Properties ◽  
Response Surface ◽  
Asphalt Binder

scholarly journals Comparative nutritional and functional properties of selected underutilized legumes

2020 ◽  
Vol 45 (3) ◽  
Author(s):  
K. O. Soetan ◽  
A. A. Adeola
Keyword(s):  
Water Absorption ◽  
Bulk Density ◽  
Functional Properties ◽  
Absorption Capacity ◽  
Phaseolus Lunatus ◽  
International Institute ◽  
Oil Absorption ◽  
Water Absorption Capacity ◽  
Crude Fibre ◽  
Emulsion Capacity

Underutilized and neglected legumes have numerous nutritional potentials with great contributions to food security but they are usually excluded from research and development agenda. This study evaluates the nutritional and functional properties of six different underutilized and neglected legumes; Lima bean (LB) (Phaseolus lunatus) (2006-009), Bambara groundnut (BG) (Vigna subterranea) (TVSU- 1482), winged bean (WB) (Psophocarpus tetragonolobus) (Tpt-48), jack bean (JB) (Canavalia ensiformis) (Tce-4), sword bean (SB) (Canavalia gladiata) (Tcg-4) and African yam bean (AYB) (Sphenostylis stenocarpa) (TSS-95) from the Genetic Resources Unit (GRU), International Institute of Tropical Agriculture (IITA), Ibadan, Oyo State, Nigeria. Nutritional and functional properties were evaluated using proximate composition, mineral analyses and functional properties like bulk density, water absorption capacity, oil absorption capacity, emulsion capacity and dispersibility. All the procedures were carried out using standard protocols. Statistical analysis was done using descriptive statistics. Results of proximate analysis showed that crude protein ranged from18.88 0.15%(WB) to 26.60±0.14%(AYB), crude fat ranged from 1.84 0.02% (JB) to 6.39 0.03% (BG), crude fibre ranged from 3.70 ±0.00% (AYB) to 5.04 0.03% (SB), ash ranged from 3.10 ± 0.14% (AYB) to 4.66 0.02% (LB), nitrogen free extract ranged from 55.60 0.04% (SB) to 62.97 0.12% (WB), moisture content ranged from 5.75 0.48% (AYB) to 10.77 0.03% (JB), dry matter ranged from 89.23 0.03% (JB) to 94.25 ± 0.488% (AYB) and gross energy ranged from 4.39 0.003 kcal/g (SB) to 4.66 0.00 (BG). Mineral content results revealed that calcium varied from 0.14 0.000% (LB) to 0.23 0.0003% (AYB), phosphorus varied from 0.20 0.0001% (AYB) to 0.38 0.00% (BG), sodium varied from 0.12 0.00% (LB and WB) to 0.35 0.0006% (AYB), potassium varied from 0.69 0.00% (LB) to 1.12 0.00% (BG), magnesium varied from 0.15 0.0002% (AYB) to 0.27 0.000% (BG) and iron varied from 44.84 0.03 (mg/g) (WB) to 80.98 0.0007(mg/g) (AYB). Results of functional properties showed that bulk density ranged from 0.45±0.04 g/mL (WB) to 0.77±0.08 g/mL (SB), water absorption capacity ranged from 168.33±0.03 g/100g (LB) to 183.62±0.01 g/100g (SB), oil absorption capacity ranged from 146.54 ±0.02 g/100g (LB) to 161.55±0.02 g/100g (JB), emulsion capacity ranged from 79.67 ±0.02 g/100g (LB) to 89.46±0.02 g/100g (SB) and dispersibility ranged from81.0±1.41%(SB) to 86.5±0.71% (BG). The study concluded that all the underutilized legumes have varying nutritional and functional properties, which should be exploited for nutritional benefits and industrial applications, as a solution to the problem of food shortage, especially in the developing countries.

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