Modeling of abrasion resistance of Persian handmade wool carpets using response surface methodology

The effect of knot density, pile height, number of ply in pile yarn and pile yarn twist on abrasion resistance of Persian handmade wool carpets has been studied. The interaction between the process variables has been analyzed by using response surface methodology based on the Box-Behnken design of experiment. Knot density, pile height, interactions between knot density and pile height; pile height and pile yarn twist; as well as squares of the knot density, pile height and number of ply in pile yarn are significant process variables. The minimum abrasion loss occurs at the combination(s) of medium values of knot density (six knots per inch) and number of ply in pile yarn (three ply) as well as lower values of pile height (ten mm) and pile yarn twist (three and a half twists per inch).     

Multiple optimization of chemical and textural properties of roasted expanded purple maize using response surface methodology

Intensification of Vaporization by Decompression to the Vacuum is a new texturizing process proposed as a pre-treatment for roasting purple maize. It consists in exposing humid kernels to a high steam pressure followed by a decompression to the vacuum. Three variables were considered: initial water content (W), steam pressure (P) and processing time (T). Using response surface methodology, the effects of these variables were studied on the response parameters: Total Anthocyanins Content, Total Polyphenols Content, Free Radical Scavenging Activity, Expansion Ratio, Hardness and Work Done. P and T had the highest effects. They decreased anthocyanins and polyphenols content but increased Expansion Ratio, Hardness and Work Done. Interactions between the variables had interesting effects on texturization as crunchiness, popping or shrinkage. Multiple optimization was conducted in order to find a compromise between chemical and textural parameters. The optimum (W = 30%, P = 7 bar, T = 10 s) conserved the phenolic compounds while conferring expansion and crunchiness.     

Optimization of switchgrass and extruder parameters for enzymatic hydrolysis using response surface methodology

Switchgrass is an important biomass that can be hydrolyzed to yield fermentable sugars through pretreatment, which is the primary and expensive step in conversion of biomass to bio-ethanol. Most of the pretreatment operates in batch mode, which is energy intensive, requires high capital, results in decomposition of hemicellulose, and formation of inhibitors. Considering these shortcomings, a novel biomass pretreatment method using a high shear bioreactor could be a viable continuous one. The current study was undertaken to determine the effect of biomass parameters such as moisture content (10, 20, 30, 40, and 50% wb) and particle size (2, 4, 6, 8, and 10 mm) over a range of barrel temperature and screw speed (45-225 °C and 20-200 rpm). Statistical analyses revealed that among the independent variables considered temperature, screw speed, and moisture content had significant effect on sugar recoveries. Proposed quadratic model to predict glucose, xylose, and combined sugar recoveries from switchgrass had a high F and R² values indicating that the model has the ability to represent the relationship among the independent variables studied. The optimum pretreatment condition of barrel temperature 176 °C, screw speed 155 rpm, moisture content 20% wb, and particle size 8 mm resulted in maximum glucose, xylose, and combined sugar recoveries of 41.4, 62.2 and 47.4%, respectively. The optimum pretreated switchgrass had 50% higher surface area than that of the control.     

Optimization of enzymatic hydrolysis of waste cotton fibers for nanoparticles production using response surface methodology

A Box-Behnken design (BBD) was used for optimization of enzymatic hydrolysis of waste cotton fibers in order to obtain finest cellulose particles. The effect of three factors including hydrolysis time (h), substrate concentration (g/l) and enzyme loading (%) were investigated. The median size of the hydrolyzed particles was defined as the response function of the design. Results of BBD were subjected to analysis of variance (ANOVA) and a quadratic polynomial equation was developed for predicting the particle size. According to the fitted model, the optimal conditions i.e. hydrolysis time, substrate concentration and enzyme loading were suggested as 175 h, 5 g/l and 2.3 %, respectively. The suspension prepared under optimum conditions was subjected to ultrasonic treatment, and the resulted stable suspension of cellulose nanoparticles was characterized. It was found that these nanoparticles are spherical and most of them are in the range of 40–90 nm. The enzymatic and ultrasonic treatments caused an increase in the crystallinity and a decrease in the degree of polymerization of cotton.     

Optimization of lipase-catalyzed synthesis of palm amino acid surfactant using response surface methodology (RSM)

Amino acid surfactants are high-value surfactants which have excellent emulsifying characteristics and minimal toxicity to the living body. Enzymatic synthesis of palm kernel amino acid surfactant was optimized by response surface methodology (RSM) using palm kernel olein (PKO) and l(+)-lysine catalyzed by Lipozyme RM IM. The reaction was performed in batch mode stirred tank reactor (STR) with one multi-bladed impeller. A central composite rotatable design (CCRD) was employed to evaluate the interactive effects of various parameters. The parameters were temperature (A): (40.00–70.00 °C), impeller speed (B): (100.00–400.00 rpm), substrates ratio (C): (1.00–4.00 mmol) and enzyme amount (D): (5.00–8.00 g). The optimum condition derived via RSM at fixed reaction time of 24 h was temperature; 47.50 °C, impeller speed; 323.96 rpm, substrates ratio; 3.25 mmol and enzyme amount; 7.25 g. The experimental yield was 89.03% under the optimum condition, which compared well with the maximum predicted value of 93.77%.     

An investigation on the effect of heat-moisture treatment on baking quality of wheat by using response surface methodology

Effect of heat-moisture treatment on quality properties of two bread wheats (cvs. Tosunbey and Bayraktar) were investigated by using response surface methodology (RSM). Temperature and moisture conditions in the experimental design were in the range of 55–95 °C and 13–19%. Heat-moisture treated grains were milled into flour and quality properties were determined. The optimum moisture-temperature combination for the highest dry gluten, Zeleny sedimentation, Alveograph W and bread volume values were estimated as 14%-63 °C for Tosunbey and 19%-55 °C for Bayraktar samples. Alveograph W seems to be a good indicator of baking quality for wheats treated at higher temperatures. In order to describe the relationship between the dependent and independent variables (moisture, temperature), the response values were fitted by second order polynomial models. Significance analysis showed that the effect of both moisture and temperature on dry gluten content, sedimentation and falling number values for Tosunbey; falling number and damaged starch values for Bayraktar were significant (p < 0.05). The effect of temperature on Farinograph water absorption, W and P/G, bread volume and firmness values were significant for both cultivars (p < 0.05). It can be concluded that improvement in baking quality can be achieved and flours with different properties can be produced by heat-moisture treatments on wheat.     

Optimizing conditions for oleanolic acid extraction from Lantana camara roots using response surface methodology

Lantana camara is an ornamental plant used in traditional medicine for the treatment of various diseases. The roots of L. camara is a rich source of oleanolic acid which has shown anti-inflammatory, hepatoprotective, antitumor, antioxidant and anti-hyperlipidemic activity. Optimization of various extraction parameters using response surface methodology (RSM) was performed to assess maximum yield of oleanolic acid from L. camara roots. Plackett–Burman design criterion was applied to identify the significant effects of various extraction parameters such as temperature, time, mean particle size, solvent–solid ratio, solvent composition and number of extraction steps on extraction of oleanolic acid. Among the six variables tested extraction time, mean particle size, solvent–solid ratio and solvent composition were found to have significant effect on oleanolic acid extraction. Optimum levels of the significant variables were determined by using a central composite design. The most suitable condition for extraction of oleanolic acid was found to be a single step extraction at extraction temperature 35 °C, extraction time 55 min, solvent–solid ratio 55:1, mean particle size 0.5 mm and solvent composition 52.5% methanol in a methanol-ethyl acetate mixture. At these optimum extraction parameters, the maximum yield of oleanolic acid obtained experimentally (1.74% dry weight of root) was found to be very close to its predicted value of 1.69% dry weight of root. The mathematical model developed was found to fit well with the experimental data of oleanolic acid extraction.     

Enzymatic epoxidation of Sapindus mukorossi seed oil by perstearic acid optimized using response surface methodology

As a novel renewable resource, Sapindus mukorossi seed oil (SMSO) with an iodine value of 84.86 g/100 g, and containing 51.0 ± 0.9% oleic acid (18:1), 6.6 ± 0.6% linoleic acid (18:2), 1.1 ± 0.3% linolenic acid (18:3), and 23.1 ± 0.9% eicosanoic acid (20:1), was epoxidized using hydrogen peroxide as oxygen donor and stearic acid as active oxygen carrier in the presence of immobilized Candida antarctica lipase B. The effect of the amount of stearic acid on the enzymatic epoxidation was investigated. Response surface methodology (RSM) was used to study and optimize the effects of variables (reaction temperature, enzyme load, mole ratio of H₂O₂/CC-bonds, and reaction time) on the epoxy oxygen group content (EOC) of epoxidized SMSO. Results showed that stearic acid as active oxygen carrier could enhance the enzymatic epoxidation of SMSO. The variables of reaction temperature and enzyme load were the most significant in the process. A two second-order model was satisfactorily fitted the data (R² = 0.9723) with non-significant lack of fit. The optimum EOC of epoxidized SMSO was 4.6 ± 0.3% under the conditions of 50.0 °C, 7.0 h, 2.00% (relative to the weight of SMSO) enzyme load, and 4:1 mole ratio of H₂O₂/CC-bonds.     

Thermogravimetric analysis and the optimisation of bio-oil yield from fixed-bed pyrolysis of rice husk using response surface methodology (RSM)

The effects of pyrolysis temperature, heating rate, particle size, holding time, and gas flow rate were investigated to optimize bio-oil yield from rice husk pyrolysis. Thermogravimetric analysis showed thermal degradation of hemicellulose, cellulose and lignin, indicating faster decomposition of cellulose compared to lignin. The optimisation process was analysed by employing central composite design (CCD) in response surface methodology (RSM) using Design Expert Version 7.5.1 (StatEase, USA). A two-level fractional factorial was initially carried out and followed by RSM. The statistical analysis showed that pyrolysis temperature, heating rate, particle size and holding time significantly affected the bio-oil yield. By utilising response surface method, these four factors were investigated, analysed and optimal conditions were obtained at pyrolysis temperature of 473.37 °C, heating rate of 100 °C/min, particle size of 0.6 mm and holding time of 1 min. Confirmation runs gave 48.30% and 47.80% of bio-oil yield compared to 48.10% of predicted value. Furthermore, the pyrolytic bio-oils obtained from fixed-bed pyrolysis were examined using gas chromatographic/mass spectroscopy (GC/MS), Fourier transform infrared (FTIR) methods, elemental analyzer, pH probe and bomb calorimeter.     

Electrospinning of silk nanofibers. I. An investigation of nanofiber morphology and process optimization using response surface methodology

Ultra fine fibers were electrospun from regenerated silk fibroin/formic acid solution. Effect of some process parameters on the morphology, diameter and variation in fiber diameter of electrospun fibers were experimentally investigated. Scanning electron microscope was used for the measurement of fiber diameter. Fibers with diameter ranging from 80 to 210 nm were collected depending on the solution concentration and the applied voltages. Response surface methodology (RSM) was used to obtain a quantitative relationship between selected electrospinning parameters and the average fiber diameters and its distribution. It was shown that concentration of silk fibroin solution had a significant effect on the fiber diameter and the standard deviation of the fiber diameter. Applied voltage had no significant effect on the fiber diameter and its standard deviation.     

响应面法优化龙井茶中黄酮化合物提取工艺

对龙井茶中的黄酮化合物提取工艺进行研究。通过单因素系列试验分别研究了甲醇浓度(体积比)、提取时间、提取温度对龙井茶黄酮类化合物浸出量的影响。在单因素试验基础上,利用Design-Expert 7.0软件和Box-Behnken设计原理设计响应面试验,并通过方差分析回归建立数学模型。实验结果表明,龙井茶中黄酮化合物的最佳提取工艺条件:甲醇体积分数61.68%、提取温度61.54℃、提取时间82.79 min,在此条件下,黄酮化合物含量(占干茶)为4.876 mg/g。     

Utilization of pretreated bagasse for the sustainable bioproduction of cellulase by Aspergillus nidulans MTCC344 using response surface methodology

Response surface methodology (RSM) was used to optimize the conditions for the production of endo β-1,4 glucanase, a component of cellulase by Aspergillus nidulans MTCC344 under solid state fermentation, using bagasse as the chief substrate. A four-factor-five-level central composite design was employed for experimental design and analysis of the results. Maximum cellulase activity (CMCase was 28.96 U g⁻¹) can be attained at the optimum conditions, 16.8 mm bagasse bed height, 60% moisture content, pH 4.25 and temperature 40 °C in the solid state fermenter. These data were rather close to the experimental results obtained (CMCase was 28.84 U g⁻¹). A. nidulans MTCC344 was able to hydrolyze pretreated bagasse completely after 8 days of incubation with significant endo β-1,4 glucanase activities. The results of Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD) and scanning electron microscopy (SEM) of bagasse showed structural changes through pretreatment, in favor of enzymatic hydrolysis. Bagasse with alkali pretreatment using sodium hydroxide is a source of lignocelluloses able to improve the yield of endo β-1,4 glucanase by the strain of A. nidulans. The endo β-1,4 glucanase produced during the bioconversion of cellulose to glucose by A. nidulans MTCC344 is strongly dependent on the pretreatment given before hydrolysis.     

Production of activated carbon from organic by-products from the alcoholic beverage industry: Surface area and hardness optimization by using the response surface methodology

The ability of activated carbon to remove pollutants from water in packed column systems is dependent on granular material with mechanical strength sufficient to avoid attrition caused by stream flow. Therefore, an appropriate balance between surface area and hardness is essential when using activated carbon in real systems. The purpose of this research is to determine the optimal production conditions that generate activated carbon with adequate physical properties to be used in packed systems from agave bagasse, a waste product from the mezcal industries in Mexico. Activated carbons were produced by chemical activation (ZnCl₂ or H₃PO₄). Response surface methodology (RSM) was used to evaluate the effect of the activation temperature (250-550 °C), activation time (0-50 min), and the concentration of activating agent (0.2-1.4; g activating agent/g bagasse) on both surface area and hardness. The production conditions that generated optimal characteristics in the activated carbon were 392 °C, 1.02 g activating agent/g bagasse and 23.8 min for H₃PO₄ activated samples and 456 °C, 1.08 g activating agent/g bagasse and 23.8 min for ZnCl₂ activated samples. The surface area and hardness of the activated carbon produced from bagasse under these conditions were similar to activated commercial carbons (surface area > 800 m²/g and hardness > 85%).     

Comparison between artificial neural network and response surface methodology in the prediction of the production rate of polyacrylonitrile electrospun nanofibers

This paper focused on using response surface methodology (RSM) and artificial neural network (ANN) to analyze production rate of electrospun nanofibers. The three important electrospinning factors were studied including polymer concentration (wt %), applied voltage (kV) and the nozzle-collector distance (cm). The predicted production rates were in agreement with the experimental results in both ANN and RSM techniques. High regression coefficient between the variables and the response (R ²=0.975) indicates excellent evaluation of experimental data by second-order polynomial regression model. The regression coefficient was 0.988, which indicates that the ANN model was shows good fitting with experimental data. The obtained results indicate that the performance of ANN was better than RSM. It was concluded that applied voltage plays an important role (relative importance of 42.8 %) against production rate of electrospun nanofibers. The RSM model predicted the 2802.3 m/min value of the highest production rate at conditions of 15 wt % polymer concentration, 16 kV of the applied voltage, and 15 cm of nozzle-collector distance. The predicted value showed only 4.4 % difference with experimental results in which 2931.0 m/min at the same setting was observed.     

Mechanical property optimization of wet-spun lignin/polyacrylonitrile carbon fiber precursor by response surface methodology

Lignin, nature’s abundant polymer with a remarkably high carbon content, is an ideal bio-renewable precursor for carbon fiber production. However, the poor mechanical property of lignin-derived fibers has hindered their industrial application as carbon fiber precursor. In this work, process engineering through the application of computational modeling was performed to optimize wet-spinning conditions for the production of lignin precursor fibers with enhanced mechanical properties. Continuous lignin-derived precursor fibers with the maximum possible lignin content were successfully produced in a blend with polyacrylonitrile, as a wet-spinning process facilitator. Response surface methodology was employed to systematically investigate the simultaneous influence of material and process variables on mechanical properties of the precursor fibers. This allowed generating a mathematical model that best predicted the tensile strength of the precursor fibers as a function of the processing variables. The optimal wet-spinning conditions were obtained by maximizing the tensile strength within the domain of the developed mathematical model.     

Polyester modification through synthesis of copper nanoparticles in presence of triethanolamine optimized with response surface methodology

In this paper, polyester fabric was modified through synthesis and fabrication of Cu/Cu₂O nanoparticles using a facile and cost-effective method at boil by chemical reduction through exhaustion route. Triethanolamine (TEA) was used for aminolysis of polyester fabric and pH adjusting, copper sulfate (CuSO₄) as metal salt, sodium hypophosphite (SHP) as reducing agent and polyvinylpyrrolidone (PVP) as stabilizer. A response surface methodology was also employed to optimize the reaction conditions and study the effects of SHP, PVP and TEA concentrations in the processing. The images of field-emission scanning electron microscopy (FESEM), the patterns of energy-dispersive spectroscopy (EDX) and X-ray diffraction (XRD) patterns confirmed successfully synthesis of Cu and Cu₂O nanoparticles on the polyester fabric. Further, the thermal behavior of the untreated and treated fabrics was studied by using thermogravimetric analysis (TGA) and differential scanning colorimetry (DSC). The treated fabrics indicated good properties regarding wettability and flame-retardant along with high tensile strength.     

响应面法优化磷酸化改性花生分离蛋白－多肽膜的制备工艺

    为了优化磷酸化改性花生分离蛋白-多肽膜制备工艺条件,在单因素基础上,通过响应面Box-Benhnken进行实验设计。结果表明,最优工艺参数：蛋白浓度8%、pH值8.2、甘油百分含量（占蛋白）13.4%、黄原胶百分含量（占蛋白）1%、时间60min、温度69℃、超声波功率270W、超声波频率28kHz、多肽溶液的浓度61mg/mL;此工艺条件下,膜厚度、吸水率和透光率理论预测值分别为86μm、41.9%和53.6%,验证实验值分别为88±2μm、43.1±1.2%和52.4±1.5%,两者的差值分别为2.33%、2.86%和2.24%,说明响应面二次模型的拟合良好;磷酸化改性花生分离蛋白-多肽膜的抗拉强度9.62MPa、断裂延伸率101.68%、溶解性47.69%、水蒸气透过率6.95 g•m-2· h-1等功能性质和DPPH自由基清除活性IC50值7.70 mg·mL-1、羟自由基清除活性IC50值5.98 mg·mL-1、超氧阴离子自由基清除活性IC50值4.20 mg·mL-1、铁离子螯合力活性IC50值3.79 mg·mL-1、铜离子螯合力活性IC50值13.61 mg·mL-1、脂质过氧化抑制活性IC50值8.62 mg·mL-1、铁还原力IC50值13.93mg·mL-1、钼还原力IC50值5.49mg·mL-1等抗氧化活性较磷酸化改性花生分离蛋白膜有所改善。本研究结果为磷酸化改性花生分离蛋白在蛋白膜方面的应用提供一种新途径。     

Evaluation of yield–density relationships and optimization of intercrop compositions of field-grown pea–oat intercrops using the replacement series and the response surface design

In a 2-year field experiment (2002/2003) on a loess soil near Göttingen/Germany, pea (Pisum sativum L.) and oat (Avena sativa L.) were grown alone and intercropped at a range of densities. Shoot biomass, grain yields and amount of N in grain were evaluated and optimized using two different replacement series and a hyperbolic yield–density equation describing a response surface to address the following questions: (i) what is the optimal composition of the pea–oat intercrop with regard to maximum yields, (ii) which intercropping design is most suitable to describe competition effects in pea–oat intercrops and the optimal intercrop compositions and (iii) which intercropping design is best suited for the evaluation of field data. For (i), the optimal intercrop compositions varied depending on the growth conditions for the crops. Furthermore, optimal intercrop compositions were found above the recommended sole crop densities. The density of oat had to be reduced more than that of pea, especially when optimal grain-N yields were desired and soil-N content was high. For maximum grain-N yields, pea could be sown at high densities in combination with 5–50% of the recommended density of oat. Thus, density can be used as a yield regulator for specific purposes such as a high N yield. The effects of competition at final harvest were described equally by both designs (ii). Oat was the clearly stronger and pea the inferior competitor. In contrast to the replacement series design, the hyperbolic yield–density equation was capable of adding valuable information about the extent of intra and interspecific competition. As intraspecific competition was consistently more important than interspecific competition, resource complementarity could be hold responsible for intercrop advantages. The highest intercrop advantage was found when total intraspecific competition was low, as shown by the relative yield total (RYT) and niche differentiation index (NDI) values >1. However, due to the RYT dependence on sole crops and total densities, the replacement series design led to misleading interpretations of the yield advantages. Both experimental designs were able to describe the field-data reliably (iii), but the response surface design had the advantage of being unaffected by insufficient field emergences, as it is not based on total densities. Numbers of plants m⁻² instead of seeds m⁻² can be used for the evaluation. Data from sole crops are not needed for the response surface design and thus the feared high experimental effort of this design can be reduced. However, when using the replacement series design, experimental effort should be greater than normal, as different sole crop densities and more intercrop compositions within a replacement series can lead to a more precise interpretation of the competition effects.     

Optimization of the ultrasound-assisted extraction of tryptophan and its derivatives from rice (Oryza sativa) grains through a response surface methodology

An analytical ultrasound-assisted extraction (UAE) technique has been optimized and validated for the extraction of tryptophan and its derivatives from rice grains. A Box–Behnken design in conjunction with a response surface methodology based on six factors and three levels was used to evaluate the effects of the studied factors prior to optimizing the UAE conditions. The significant (p < 0.05) response surface models with high coefficients of determination were fitted to the experimental data. The most significant (p < 0.0001) effect is the solvent-to-sample ratio while quadratic effects caused by temperature and solvent-to-sample ratio were of moderate importance (p < 0.05). The optimal UAE conditions were as follows: extraction time of 5 min, ultrasound amplitude of 30%, cycle of 0.7 s⁻¹, extraction temperature of 30 °C, 8% methanol in water as the extraction solvent at pH 3 and a solvent/solid ratio 5:1. The method validation ensured that appropriate values were obtained for the LOD, LOQ, precision and recovery. Furthermore, the method was successfully applied to the analysis of a number of rice samples of different varieties. It was demonstrated that this particular UAE method is an interesting tool for the determination of tryptophan and tryptophan derivatives in rice grain samples.     

Optimization of rheological properties of gluten-free pasta dough using mixture design

The rising demand of gluten-free products for celiac people has led to important technological research on the replacement of the gluten matrix in the production of high quality gluten-free foods. The objective of this work was to evaluate the effect of composition (hydrocolloids, water, and proteins) on the rheological and textural properties of gluten-free dough used for producing pasta based on corn-starch and corn flour. Extensibility and rheological properties of gluten-free pasta dough were studied. Rising protein or gum contents produced a marked increase of deformation at break. However protein content was negatively correlated with breaking force. The increase in gums content produced an increase in storage and loss moduli (G′, G″). G′ was always larger than G″ with a small increase of both moduli with frequency. The mechanical relaxation spectrum was predicted from dynamic oscillatory data using the broadened Baumgaertel–Schausberger–Winter model. Application of a mixture design allowed finding the optimal composition to achieve the desirable textural properties using response surface methodology. A formulation containing 35.5% water, 2.5% gums, 4.7% proteins, 42.8% corn-starch, 10.7% corn flour, 1% NaCl, and 2.8% sunflower oil led to the highest values of G′, breaking force, and extensibility according to the optimization analysis performed.