scholarly journals Optimization of Soybean Meal Fermentation for Aqua-Feed with Bacillus subtilis natto Using the Response Surface Methodology

Fermentation ◽  
2021 ◽  
Vol 7 (4) ◽  
pp. 306
Author(s):  
Yukun Zhang ◽  
Manabu Ishikawa ◽  
Shunsuke Koshio ◽  
Saichiro Yokoyama ◽  
Serge Dossou ◽  
...  
Keyword(s):  
Amino Acids ◽  
Response Surface Methodology ◽  
Bacillus Subtilis ◽  
Response Surface ◽  
Layer Thickness ◽  
Soybean Meal ◽  
Essential Amino Acids ◽  
Total Phenolic ◽  
Bacillus Subtilis Natto ◽  
Substrate Ratio

This study aimed to improve the nutritional value of soybean meal (SBM) by solid-state fermentation (SSF) using Bacillus subtilis natto (B. s. natto) to overcome the limitations of SBM usage in aquafeed. The response surface methodology (RSM) was employed to explore the relationships of fermentation conditions, such as temperature, time, water-substrate ratio, and layer thickness, on the degree of protein hydrolysis (DH) and the crude protein (CP) content. The optimum conditions for achieving the higher DH (15.96%) and CP (55.76%) were 43.82 °C, 62.32 h, 1.08 of water-substrate ratio, and a layer thickness of 2.02 cm. CP and DH in the fermented soybean meal (FSM) increased by 9.8% and 177.1%, respectively, and crude fiber decreased by 14.1% compared to SBM. The protein dispersibility index (PDI) decreased by 29.8%, while KOH protein solubility (KPS) was significantly increased by 17.4%. Flavonoids and total phenolic acid content in FSM were increased by 231.0% and 309.4%, respectively. Neutral protease activity (NPA) also reached a high level (1723.6 U g−1). Total essential amino acids (EAA) in FSM increased by 12.2%, higher than the 10.8% increase of total non-essential amino acids (NEAA), while the total free amino acids content was 12.76 times higher than that of SBM. Major anti-nutritional factors in SBM were significantly reduced during the process, and almost all SBM protein macromolecules were decomposed. Together with the cost-effectiveness of SSF, B. s. natto-fermented SBM products have great potential to improve the plant composition and replace high-cost ingredients in aquafeed, contributing to food security and environmental sustainability.

EXTRACTION OPTIMIZATION AND ANTIOXIDANT ACTIVITY OF PHENOLIC COMPOUNDS FROM AVOCADO PEEL

2019 ◽  
pp. 49-59
Author(s):  
Nu Linh Giang Ton ◽  
Thi Hoai Nguyen ◽  
Quoc Hung Vo
Keyword(s):  
Antioxidant Activity ◽  
Response Surface Methodology ◽  
Antioxidant Capacity ◽  
Response Surface ◽  
Total Antioxidant Capacity ◽  
Total Phenolic Content ◽  
Phenolic Content ◽  
Quadratic Model ◽  
Total Phenolic ◽  
Total Antioxidant

Avocado peel has been considered as a potential source of natural antioxidants in which phenolics are among the most important compounds. Therefore, this study aims to optimize the extraction process of phenolics using response surface methodology and evaluate the corresponding antioxidant activity. From the quadratic model, the optimal condition was determined including the ethanol concentration 54.55% (v/v), the solvent/solute ratio 71.82/1 (mL/g), temperature 53.03 oC and extraction time 99.09 min. The total phenolic content and the total antioxidant capacity at this condition with minor modifications were 26,74 ± 0,04 (mg GAE/g DW) and 188.06 ± 1.41 (mg AAE/g DW), respectively. The significant correlation between total phenolic content and total antioxidant capacity was also confirmed. Key words: response surface methodology, central composite rotatable design, total phenolic content, total antioxidant capacity, avocado peel

scholarly journals Optimizing Physiochemical and Sensory Properties of Infrared-Hot Air Roasted Sunflower Kernels Using Response Surface Methodology

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Mahdis Mosayebi ◽  
Mahdi Kashaninejad ◽  
Leila Najafian
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Color Change ◽  
Specific Energy Consumption ◽  
Chemical Properties ◽  
Sensory Properties ◽  
Quadratic Model ◽  
Total Phenolic ◽  
Phenolic Contents ◽  
Hot Air

Roasting sunflower kernels is a key process in production of nuts. In this study, the effect of roasting conditions, including hot air temperature (120–160°C), infrared (IR) power (400–600 W) and roasting time (3–10 min) on energy and specific energy consumption, color parameters (L∗, a∗, b∗, ΔE, BI, SI, WI, and h°), texture, moisture content, chemical properties (pH and total phenolic contents, peroxide value (PV), and sensory properties of sunflower kernel were investigated. In addition, the best models for the responses were obtained, and the proper roasting conditions were determined using response surface methodology (RSM). A quadratic model was proposed for color change (L∗, ΔE, SI, and WI), moisture and total phenol contents, linear relation for a∗, b∗, h°, and 2FI for BI, texture, PV, and pH. Roasting at 425.7 W IR power and 124.3°C for 3.7 min was found to be convenient or proper roasting conditions.

Supplementation of a low protein diet in an attempt to optimize egg mass output

1991 ◽  
Vol 71 (1) ◽  
pp. 211-220 ◽  
Author(s):  
John D. Summers ◽  
J. L. Atkinson ◽  
D. Spratt
Keyword(s):  
Amino Acids ◽  
Body Weight ◽  
Soybean Meal ◽  
Egg Production ◽  
Corn Oil ◽  
Control Diet ◽  
Essential Amino Acids ◽  
Egg Mass ◽  
Minimum Requirement ◽  
Low Protein

Pullets were brought into production on a low-protein corn, soybean meal diet to which various nutrients including essential amino acids, choline, corn oil and feathermeal were supplemented. Production commenced between 18 and 20 wk of age and up to at least 60% production, hens fed the low protein diets (10% CP) produced at least as many eggs and as great an egg mass as these given a 17% protein corn, soybean meal control diet. Pullets fed the corn, soybean meal test diets, peaked at around 80% as compared to slightly over 90% for the control. Egg production immediately fell for birds fed the test diets to around 70% for most of the test treatments. Body weight remained constant or fell after peak production for birds fed the test diets as compared to a normal increase for birds on the control diet. Egg size increased for the test diets at a rate which was comparable to that of the control birds. In a second experiment, with older hens, supplementation of the 10% protein test diet with methionine, lysine, arginine and tryptophan, resulted in intakes of these amino acids which met NRC minimum requirement levels. However, egg mass output was reduced approximately 11% compared to the 17% protein control diet. While intakes of several essential amino acids fell below requirement levels, the degree that valine was calculated to be deficient in both experiments corresponded closely with the reduction in egg mass output of hens fed the test as compared to the control diet. Key words: Lysine, methionine, egg weight, body weight, hens.

scholarly journals Development of Phaleria macrocarpa (Scheff.) Boerl Fruits Using Response Surface Methodology On Phenolic, Flavonoid and Antioxidants Properties

2018 ◽  
Author(s):  
Khurul Ain Mohamed Mahzir ◽  
Siti Salwa Abdul Gani ◽  
Nor Fadzillah Mokhtar
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Radical Scavenging Activity ◽  
Radical Scavenging ◽  
Reducing Power ◽  
Extraction Time ◽  
Feed Ratio ◽  
Total Phenolic ◽  
Extraction Temperature ◽  
Phaleria Macrocarpa

In this study, the optimal condition for the extraction of antioxidants from the fruit Buah Mahkota Dewa (Phaleria macrocarpa) was determined by using Response Surface Methodology (RSM). The optimization was applied using central composite design (CCD) to investigate the three independent variables, namely extraction temperature (oC), extraction time (minutes) and extraction solvent to-feed ratio (%v/v) on the responses of free radical scavenging activity (DPPH), ferric ion reducing power assay (FRAP), total phenolic content (TPC) and total flavonoid content (TFC).The optimal conditions for the antioxidants extraction were found to be extraction temperature (64oC), extraction time (66 minutes) and solvent to-feed ratio (75 %v/v) with the highest percentage yield of DPPH, FRAP, TPC and TFC were 86.85%, 7.47%, 292.86 mg/g and 3.22 mg/g respectively. Moreover, the data were subjected to response surface methodology (RSM) and the results showed that the polynomial equations for all models were significant, did not show lack of fit, and presented adjusted determination coefficients (R2) above 99%, proving the yield of phenolic, flavonoid and antioxidants activities obtained experimentally were close to the predicted values and the suitability of the model employed in RSM to optimize the extraction conditions. Hence, in this study, the fruit from P.macrocarpa could be considered to have the strong antioxidant ability and can be used in various cosmeceutical or medicinal applications.

scholarly journals Process Parameter Optimization in Fused Deposition Modeling (FDM) Using Response Surface Methodology (RSM)

2020 ◽  
Author(s):  
Muhammad Salman Mustafa ◽  
Muhammad Qasim Zafar ◽  
Muhammad Arslan Muneer ◽  
Muhammad Arif ◽  
Farrukh Arsalan Siddiqui ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Response Surface Methodology ◽  
Impact Strength ◽  
Response Surface ◽  
Layer Thickness ◽  
Fused Deposition Modeling ◽  
Experimental Results ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
Printing Parameters

Abstract Fused Deposition Modeling (FDM) is a widely adopted additive manufacturing process to produce complex 3D structures and it is typically used in the fabrication of biodegradable materials e.g. PLA/PHA for biomedical applications. However, FDM as a fabrication process for such material needs to be optimized to enhance mechanical properties. In this study, dogbone and notched samples are printed with the FDM process to determine optimum values of printing parameters for superior mechanical properties. The effect of layer thickness, infill density, and print bed temperature on mechanical properties is investigated by applying response surface methodology (RSM). Optimum printing parameters are identified for tensile and impact strength and an empirical relation has been formulated with response surface methodology (RSM). Furthermore, the analysis of variance (ANOVA) was performed on the experimental results to determine the influence of the process parameters and their interactions. ANOVA results demonstrate that 44.7% infill density, 0.44 mm layer thickness, and 20C° printing temperatures are the optimum values of printing parameters owing to improved tensile and impact strength respectively. The experimental results were found in strong agreement with the predicted theoretical results.

Optimization of Medium Constituents for the Production of Fructosyltransferase (Ftase) by Bacillus subtilis Using Response Surface Methodology

2008 ◽  
Vol 3 (3) ◽  
pp. 114-121 ◽  
Author(s):  
I. Sarat Babu . ◽  
S. Ramappa . ◽  
D. Guru Mahesh . ◽  
K. Sunanda Kumari . ◽  
K. Sita Kumari . ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Bacillus Subtilis ◽  
Response Surface
Sign in / Sign up

Export Citation Format

Share Document