scholarly journals The use of D-optimal design in optimization of wool dyeing with Juglansregia bark

2018 ◽  
Vol 69 (02) ◽  
pp. 104-110 ◽  
Author(s):  
HAJI AMINODDIN ◽  
QAVAMNIA SAYYED SADRODDIN ◽  
NASIRIBOROUMAND MAJID
Keyword(s):  
Response Surface Methodology ◽  
Optimal Design ◽  
Optimal Condition ◽  
Response Surface ◽  
Aqueous Extract ◽  
Ph Value ◽  
Natural Dye ◽  
Wool Fibers ◽  
Color Value ◽  
Wool Dyeing

In this study, wool fibers were dyed using the Juglansregiabark as a new source of natural dye. Alum was used as mordant. Response surface methodology and D-optimal design were employed to study and optimize the dyeing procedure with the aim of obtaining the maximum color value after dyeing with aqueous extract of Juglansregiabark. The results showed that the color value of the dyed fibers was increased by increasing the dyeing time and temperature and decreased by increasing the dyebath pH value. There was an optimum value of around 6 % owf for mordant concentration. The optimal condition for obtaining the highest color value was as follows: dyebath pH: 6, alum concentration: 6.24 % owf, dyeing temperature: 90 ºC, and dyeing time: 90 min.

scholarly journals A Response Surface Methodology (RSM) Approach for Optimizing the Attenuation of Human IgE-Reactivity to β-Lactoglobulin (β-Lg) by Hydrostatic High Pressure Processing

Foods ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1741
Author(s):  
Xin Sun ◽  
Jialing Vivien Chua ◽  
Quynh Anh Le ◽  
Francisco Trujillo ◽  
Mi-Hwa Oh ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Optimal Condition ◽  
Response Surface ◽  
High Pressure Processing ◽  
Molecular Structures ◽  
Holding Time ◽  
P Value ◽  
Molecular Change ◽  
Ige Reactivity ◽  
Β Lactoglobulin

The response surface methodology (RSM) and central composite design (CCD) technique were used to optimize the three key process parameters (i.e., pressure, temperature and holding time) of the high-hydrostatic-pressure (HHP) processing either standalone or combined with moderate thermal processing to modulate molecular structures of β-lactoglobulin (β-Lg) and α-lactalbumin (α-La) with reduced human IgE-reactivity. The RSM model derived for HHP-induced molecular changes of β-Lg determined immunochemically showed that temperature (temp), pressure (p2) and the interaction between temperature and time (t) had statistically significant effects (p < 0.05). The optimal condition defined as minimum (β-Lg specific) IgG-binding derived from the model was 505 MPa at 56 °C with a holding time of 102 min (R2 of 0.81 and p-value of 0.01). The validation carried at the optimal condition and its surrounding region showed that the model to be underestimating the β-Lg structure modification. The molecular change of β-Lg was directly correlated with HHP-induced dimerization in this study, which followed a quadratic equation. The β-Lg dimers also resulted in the undetectable human IgE-binding.

scholarly journals The Dyeing Procedures Evaluation of Wool Fibers withPrangos ferulaceaand Fastness Characteristics

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Hossein Barani ◽  
Shahdokht Rahimpour
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Fastness Properties ◽  
Color Strength ◽  
Wool Fibers ◽  
Plasma Pretreatment

In this study, the dyeing procedure of wool fibers withPrangos ferulaceawas evaluated and optimized by response surface methodology (RSM). Using this method, the quantitive relationship between dye concentration ofPrangos ferulacea, mordant concentration, dyeing temperature, and dyeing time on the dyeing procedure was investigated. The effect of these variables as well as plasma pretreatment was examined on the color strength of dyed samples. Finally, the fastness characteristic of dye sampled at proposed optimized condition was reported. The obtained results indicate that the presence of mordant improved the fastness properties and dyes uptake of wool fibers.

scholarly journals Application of electrochemical peroxidation (ECP) process for waste-activated sludge stabilization and system optimization using response surface methodology (RSM)

2018 ◽  
Vol 77 (6) ◽  
pp. 1765-1776 ◽  
Author(s):  
Gagik Badalians Gholikandi ◽  
Khashayar Kazemirad
Keyword(s):  
Response Surface Methodology ◽  
Activated Sludge ◽  
Response Surface ◽  
Removal Efficiency ◽  
Ph Value ◽  
System Optimization ◽  
Waste Activated Sludge ◽  
Operational Conditions ◽  
Sludge Stabilization ◽  
Rsm Optimization

Abstract In this study, the performance of the electrochemical peroxidation (ECP) process for removing the volatile suspended solids (VSS) content of waste-activated sludge was evaluated. The Fe2+ ions required by the process were obtained directly from iron electrodes in the system. The performance of the ECP process was investigated in various operational conditions employing a laboratory-scale pilot setup and optimized by response surface methodology (RSM). According to the results, the ECP process showed its best performance when the pH value, current density, H2O2 concentration and the retention time were 3, 3.2 mA/cm2, 1,535 mg/L and 240 min, respectively. In these conditions, the introduced Fe2+ concentration was approximately 500 (mg/L) and the VSS removal efficiency about 74%. Moreover, the results of the microbial characteristics of the raw and the stabilized sludge demonstrated that the ECP process is able to remove close to 99.9% of the coliforms in the raw sludge during the stabilization process. The energy consumption evaluation showed that the required energy of the ECP reactor (about 1.8–2.5 kWh (kg VSS removed)−1) is considerably lower than for aerobic digestion, the conventional waste-activated sludge stabilization method (about 2–3 kWh (kg VSS removed)−1). The RSM optimization process showed that the best operational conditions of the ECP process comply with the experimental results, and the actual and the predicted results are in good conformity with each other. This feature makes it possible to predict the introduced Fe2+ concentrations into the system and the VSS removal efficiency of the process precisely.

Study on Juice Yield by Compound Enzymolysis in Cloudy Apple Juice

2021 ◽  
Vol 1032 ◽  
pp. 45-50
Author(s):  
Tian Cai ◽  
Pu Shun Xi ◽  
Cheng Cheng Kou ◽  
Yue Yi Zhang ◽  
Xue Hui Cao ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Enzymatic Hydrolysis ◽  
Optimal Condition ◽  
Response Surface ◽  
Apple Juice ◽  
Juice Yield

The compound enzymolysis was studied to improve cloudy apple juice yield. Pectinase, cellulase and xylanase with high decomposition activity for cloudy apple juice were selected for compound enzymolysis. Response surface methodology was used to analyze the optimal additive amount. Results showed that, the effect of interaction between cellulase and xylanase on juice yield was extremely significant (P < 0.01). The optimal condition of complex enzymatic hydrolysis was: pectinase 0.16%, cellulase 0.57% and xylanase 0.12%. The better condition of compound enzymolysis was 45 °C for 60 min. The juice yield of cloudy apple juice significantly improved after optimized enzymolysis, which reached up to 83%.

scholarly journals Combination of optimization techniques to find of processing optimal condition of postharvest broccoli by vacuum cooling process

2018 ◽  
Vol 40 (1) ◽  
pp. 36222 ◽  
Author(s):  
Tian Ding ◽  
Charles Gobber ◽  
José Carlos Curvelo Santana ◽  
Wonder Alexandre Luz Alves ◽  
Sidnei Alves de Araújo ◽  
...  
Keyword(s):  
Weight Loss ◽  
Response Surface Methodology ◽  
Tabu Search ◽  
Optimal Condition ◽  
Response Surface ◽  
Search Algorithm ◽  
Optimization Techniques ◽  
Water Volume ◽  
Tabu Search Algorithm ◽  
Vacuum Cooling

This study aimed to investigate the impact of each factor on the weight loss of postharvest broccoli and treatment efficacy, and also attempted to fix the optimal condition for vacuum cooling treatment on postharvest broccoli by response surface methodology combined with tabu search techniques. Fresh broccoli samples were harvested from a Chinese farm and the green heads of selected samples were cut into smaller ones with approximately 3~4 cmdiameter, and sequentially equilibrated to room temperature. Pressure (200-600 Pa), broccoli weight (200-500 g), water volume (2-6 %, v v-1) and time (20-40 min) were used as factors and weight loss, final temperature and cost as responses. A tabu search algorithm was developed to find the optimum condition for processing broccoli and its initial condition were from response surface methodology. Results demonstrates a good adjust of tabu search algorithm in simulation of the broccoli freezing process. From tabu list the best condition were found as follows: the broccoli weight between 273.5 and 278.0 g with a water volume of 3.0%, processed for 40.0 min and at 200 Pa, where the weight loss was 0.34 ± 0.01%, of end temperature was 2.0 ± 0.0°C and profit percent was 99.66 ± 0.01%. 

Bioremediation Condition Optimization of Hydrocarbon in Soil Using Response Surface Methodology by Microbial Consortium KL9-1

2012 ◽  
Vol 518-523 ◽  
pp. 2073-2078 ◽  
Author(s):  
Qi You Liu ◽  
Yun Bo Zhang ◽  
Dong Feng Zhao ◽  
Chao Cheng Zhao
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Microbial Consortium ◽  
Ph Value ◽  
Removal Rate ◽  
Desirability Function ◽  
Nitrogen And Phosphorus ◽  
Predictive Values ◽  
Independent Variables ◽  
Condition Optimization

A response surface methodology was applied to optimize the bioremediation condition of hydrocarbon in soil by microbial consortium KL9-1. A four-level Box-Behnken factorial design was employed to study the relationship of independent variables and dependent variable by applying pH value, inoculation amount of microbial consortium KL9-1, ratio of nitrogen and phosphorus (N/P ) and surfactant (SDBS) concentration as independent variables (factors) and crude oil removal rate as dependent variable (response). Then the statistically significant model was obtained and numerical optimization based on desirability function was carried out for pH 7.0, inoculation amount 50.0 mL, N/P 2: 1 and SDBS concentration 4.0 g, and the hydrocarbon removal rate reached as high as 52.58%. The predictive values showed good agreement with the experimental values under the optimization conditions, by standard variance <1.3%. It showed that the optimal result was reliable.

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