Optimization of extraction process of Glycyrrhiza glabra polysaccharides by response surface methodology

Experimental design was used to investigate the effect of three parameters (extraction time, extraction number and ratio of water to raw material) on polysaccharides yields. The ranges of the factors investigated were 3.5–4.5 h for extraction time (X₁), 4–6 for extraction number (X₂), and 25–35 for ratio of water to raw material (X₃). The statistical analysis of the experiment indicated that extraction time and ratio of water to raw material had significant effect on Glycyrrhiza glabra polysaccharides yields. The central composite design showed that polynomial regression models were in good agreement with the experimental results with the coefficients of determination of 0.924 for Glycyrrhiza glabra polysaccharides yield. The optimal condition for Glycyrrhiza glabra polysaccharides yield within the experimental range of the variables studied was at 4.3 h, 6, and 35. At this condition, the predicted yield of polysaccharides extracted was 3.6%.     

Optimization of polysaccharides (ABP) extraction from the fruiting bodies of Agaricus blazei Murill using response surface methodology (RSM)

Response surface methodoloty (RSM) was used to optimize the extraction conditions of polysaccharides (ABP) from the fruiting body of Agaricus blazei. A central composite design (CCD) was used for experimental design and analysis of the results to obtain the optimal processing parameters. Four independent variables such as extraction temperature (°C), ratio of water to raw material, number of extraction, and extraction time (h) were investigated. The experimental data obtained were fitted to a second-order polynomial equation using multiple regression analysis and also analyzed by appropriate statistical methods. The 3-D response surface plot and the contour plot derived from the mathematical models were applied to determine the optimal conditions. The optimum extraction conditions were as follows: extraction temperature 91 °C, ratio of water to raw material 14, number of extraction 6, and extraction time 2.1 h. Under these conditions, the experimental value was 65.8 ± 1.42, which is well in close agreement with value predicted by the model.     

Optimization of ultrasonic-assisted extraction process of Poria cocos polysaccharides by response surface methodology

Polysaccharides production from Poria cocos was carried out using aqueous NaOH with the assistance of ultrasonic. Experimental design was used to investigate the effect of three parameters (extraction time, extraction concentration of NaOH, and ratio of aqueous NaOH to raw material) on polysaccharides yields. The ranges of the factors investigated were 1–3 min for extraction time (X₁), 0.5–1.0 mol/L for extraction concentration of NaOH (X₂), and 30–50 for ratio of aqueous NaOH to raw material (X₃). The statistical analysis of the experiment indicated that extraction concentration of NaOH had significant effect on P. cocos polysaccharides yields. The central composite design showed that polynomial regression models were in good agreement with the experimental results with the coefficients of determination of 0.9935 for P. cocos polysaccharides yield. The optimal condition for P. cocos polysaccharides yield within the experimental range of the variables studied was at 2.44 min, 0.789 mol/L, and 53.0. At this condition, the predicted yield of polysaccharides extracted was 82.3%.     

A statistical approach for optimization of R-phycoerythrin extraction from the red algae Gracilaria verrucosa by enzymatic hydrolysis using central composite design and desirability function

The aim of this research is to statistically optimize enzymatic hydrolysis parameters for the production of R-phycoerythrin (RPE) from red algae Gracilaria verrucosa. Six independent variables, incubation temperature, incubation time, ratio of buffer to raw material, cellulase loading, xylanase loading, and pH, were selected for response surface methodology studies. A central composite design was employed to maximize RPE production. A mathematical model with high determination coefficient (R ²?=?0.86) was developed and could be employed to optimize RPE extraction. The optimal extraction conditions of RPE were determined as follows: incubation temperature (48°C), incubation time (6?h), ratio of buffer to raw material (20 w/v), cellulase loading (15%), xylanase loading (5%), and pH (6.5). Under this optimal condition, the experimental yield of RPE was 6.25?mg?g^?1. Based on the result of response surface methodology and desirability function approach study, total sugar, the main by-product in RPE extraction was considered as another response. A new optimal condition was predicted as follows: incubation temperature (30°C), incubation time (12?h), ratio of buffer to raw material (20, w/v), cellulase loading (15%), xylanase loading (5%), and pH (6). Under this condition, similar RPE levels were obtained while the concentration of total sugar decreased by 40%.     

A process optimization study on ultrasonic extraction of paclitaxel from Taxus cuspidata

This study aimed to improve the extraction rate of paclitaxel from Taxus cuspidata in order to determine the most effective combination of ultrasonic extraction and thin-layer chromatography–ultraviolet (TLC-UV) rapid separation method. The study was performed using the Box–Behnken test design to conduct single-factor experiments using ultrasonic extraction of paclitaxel from Taxus cuspidata. The study showed ethanol to be the best extraction solvent. When mixed with dichloromethane (1:1), the ratio of material to liquid was 1:50 when using an ultrasonic time of 1 hr at a power of 200 W. The correction coefficient K for the separation and detection of paclitaxel using the TLC-UV spectrophotometric method was 0.009152. Multifactor experiments determined the effect of the rate of liquid to material (X1), ultrasonic time (X2), and ultrasonic power (X3) on extraction using extraction volume as the dependent variable. Response surface analysis allowed a regression equation to be obtained, with the optimal conditions for extraction when the rate of liquid to material was 53.23 mL/g as an ultrasonic time of 1.11 hr and an ultrasonic power of 207.88 W. Using these parameters, the average amount of extracted paclitaxel was about 130.576 µg/g, which was significantly better than for other extraction methods.     

MODEL DEVELOPMENT AND PROCESS OPTIMIZATION FOR SOLVENT EXTRACTION OF POLYPHENOLS FROM RED GRAPES USING BOX–BEHNKEN DESIGN

The objective of the present study is to find out the optimum extraction conditions for extraction of polyphenols from red grapes using Box–Behnken design. Red grapes polyphenols were extracted using acid–ethanol solvent at various extraction temperature (40–60°C), extraction time (20–100 min) and different solid–liquid ratio (1:5–1:15 g:ml). The effect (main and interactive) of extraction conditions on total anthocyanin, phenolic and flavonoid content were studied using Box–Behnken design (three factors at three levels). The results showed that the contribution of the quadratic model was significant for all the responses. Second-order mathematical regression models were developed and were found to fit well with observed data. Derringer's desirability function methodology was performed to find out the optimal conditions based on both individual and combinations of all responses (extraction temperature: 57°C, time: 61 min, and solid–liquid ratio: 1:8.7 g:ml) were established. At this optimal condition, the anthocyanin yield, total phenolic and flavonoid content were 73.92 mg/100 g, 221.4 mg GAE/100 g, and 79.08 mg CE/100 g, respectively. A desirability value of 0.902 was achieved at this point.     

Meetings & Symposia

Optimization of the extraction process of phenolics from Bryophyllum pinnatum was carried out using response-surface methodology (RSM). The effect of different variables such as ratio of solvents, plant material/solvent ratio, extraction time, and temperature were investigated. An optimal phenolics yield of 7.952 mg/g gallic acid equivalence (GAE) was achieved at reduced levels of methanol/water ratio (1:1, v/v). During optimization, the product yield was enhanced by ～2-fold at reduced extraction solvent (methanol/water) up to 37%. Validation of the RSM model for extraction of total phenolic content (TPC) was confirmed by high-performance liquid chromatography (HPLC) analysis. The obtained experimental values were in good agreement with the predicted values, thereby indicating the appropriateness of the model generated. Phenolic extracts from B. pinnatum were further examined by 2,2-diphenyl-1-picrylhydrazyl (DPPH), ferric reducing antioxidant power (FRAP), and 2,2′-azino-bis-3-ethylbenzothiazoline-6-sulfonic acid (ABTS) methods for determining the radical scavenging activities. EC₅₀ values of B. pinnatum extracts (BPEs) obtained by these methods were in accordance with the amount of phenolics present in the extract. Significant correlation was found between total phenolic content and antioxidant activities (p < 0.05).     

Optimized butyl butyrate synthesis catalyzed by Thermomyces lanuginosus lipase

Butyl butyrate is an ester present in pineapple flavor, which is very important for the food and beverages industries. In this work, the optimization of the reaction of butyl butyrate synthesis catalyzed by the immobilized lipase Lipozyme TL‐IM was performed. n‐Hexane was selected as the most appropriate solvent. Other reaction parameters such as temperature, substrate molar ratio, biocatalyst content and added water, and their responses measured as yield, were evaluated using a fractional factorial design, followed by a central composite design (CCD) and response surface methodology. In the fractional design 2^4–1, the four variables were tested and temperature and biocatalyst content were statistically significant and then used for optimization on CCD. The optimal conditions for butyl butyrate synthesis were found to be 48°C; substrate molar ratio 3:1 (butanol:butyric acid); biocatalyst content of 40% of acid mass. Under these conditions, over 90% of yield was obtained in 2 h. Enzyme reuse was tested by washing the biocatalyst with n‐hexane or by direct reuse. The direct reuse produced a rapid decrease on enzyme activity, while washing with n‐hexane allowed reusing the enzyme for five reactions cycles keeping approximately 85% of its activity. © 2013 American Institute of Chemical Engineers Biotechnol. Prog., 29:1416–1421, 2013     

Optimization of polysaccharides from Panax japonicus C.A. Meyer by RSM and its anti-oxidant activity

Response surface method (RSM) was used to optimize the extraction conditions of polysaccharides from the rhizomes of Panax japonicus C.A. Meyer. A three-level, three-variable Box-Behnken design (BBD) was applied for experimental design and analyzed of the results to obtain the optimal processing parameters. RSM analysis indicated good correspondence between experimental and predicted values. The optimal condition for the yield of polysaccharide was extraction time 3.74 h, extraction temperature 93.90 °C and ratio of water to raw material 40.22. Polysaccharide was analyzed by chemical methods and Fourier transform infrared (FT-IR). IR spectra indicated the presence of uronic acids and α-pyranose of the glucose residue. The antioxidant activities of Panax japonicus polysaccharides (PJP) were investigated including scavenging activity of hydrogen peroxide, 2,2-diphenyl-1-picryl-hydrazyl (DPPH) and free radicals of superoxide anion in vitro. The results of antioxidant activity exhibited PJP had a good potential for antioxidant.     

响应面法优化微波提取绞股蓝愈伤组织中人参皂苷Rb1的工艺研究

以绞股蓝愈伤组织为原料,优化绞股蓝人参皂苷Rb1的微波提取工艺,在单因素试验的基础上,选择液料比、微波功率和微波处理时间为自变量,人参皂苷Rb1为响应值,采用响应曲面法设计、分析研究各自变量及其交互作用对人参皂苷Rb1提取率的影响.利用响应面分析方法,模拟得到二次多项式回归方程的预测模型,并确定人参皂苷Rb1微波辅助提取工艺的最佳条件为：料液比1：20（g/mL）,处理时间6 min,微波功率200 W.在此最佳工艺条件下,人参皂苷Rb1得率为3.95 mg/g.     

球面设计优化金线莲黄酮类物质提取工艺及糖耐受性的研究(英文)

以金线莲为材料,利用统计学实验设计方法对黄酮类物质的提取工艺进行了优化。选定液料比、乙醇浓度和时间三个因素的五个水平进行球面设计实验,建立黄酮提取率的二次回归方程,通过回归分析及岭脊分析得到优化提取组合条件。研究结果表明,当提取工艺条件为:液料比24,乙醇浓度63%,提取时间48 h时,黄酮提取率的最大预测值为1.107%,验证值为1.05%。葡萄糖耐受性试验结果表明:金线莲黄酮类萃取物能够提高正常小鼠对糖的耐受性。     

Microwave-assisted extraction and pharmacological evaluation of polysaccharides from Posidonia oceanica

Microwave-assisted extraction was employed for the isolation of polysaccharides from Posidonia oceanica (PPO). The extracting parameters were optimized adopting response surface methodology. The highest polysaccharide yield (2.55 ± 0.09%), which is in concordance with the predicted value (2.76%), was obtained under the following conditions: extraction time 60 s, liquid–solid ratio of 50:1 (mL/g) and power of 800 W. This polysaccharide, with molecular weight of 524 KDa, characterized by gas chromatography–mass spectrometry showed that PPO was mainly composed of galactose, glucose, and arabinose with molar percentages 25.38, 24.37, and 21.64%, respectively. The pharmacological evaluation of PPO using animal models at the dose of 100 mg/kg indicated a significant anti-inflammatory activity with a percentage of inhibition of edema of 54.65% and a significant antinociceptive activity with 78.91% inhibition of writhing for peripheral analgesic activity and an increase in the hot plate reaction time for central analgesic activity.     

Micronization of a Soft Material: Air-Jet and Micro-Ball Milling

The air-jet and ball-mill are frequently used in fine micronization of active pharmaceutical ingredients to the order of 1–5 μm, which is important for increasing dissolution rates, and also for pulmonary delivery. In this study, we investigated the ability of air-jet and ball-mill to achieve adequate micronization on the lab scale using a model soft material, Pluronic® F-68. Material mechanical properties were characterized using the nanometer 600. Pluronic® F-68 was ball-milled in a micro-mill at different material weights and durations in liquid nitrogen vapor. In comparison, a lab scale air-jet mill was used at various milling parameters according to a full factorial design, where the response factors were particle yield and particle size distribution, which was analyzed using laser diffraction and scanning electron microscopy. The yield achieved with the micro-ball mill was 100% but was ~80% for the air-jet mill, which reduced the size of Pluronic® F-68 from 70 μm to sizes ranging between 23–39 μm median diameters. Ball milling produced particles less than 10 μm after 15 min. Although air-jet milling proved capable of particle size reduction of the relatively soft material Pluronic® F-68, limitations to the lower size range achievable were observed. The feed rate of the material into the air jet mill was a significant factor and slower feed rates lead to smaller sizes by allowing more time for particle collisions and subsequent particle breakage to occur. Micro-ball milling under cold condition was more successful at achieving a lower range particle size reduction of soft materials.     

Application of Factorial Design and Box–Behnken Matrix in the Optimization of a Magnetic Nanoparticles Procedure for Copper Determination in Water and Biological Samples

This study describes the development by response surface methodology (RSM) of a procedure for copper determination by inductively coupled plasma optical emission spectrometry (ICP-OES) in water and biological samples after extraction by magnetic nanoparticles. Four variables such as, pH of solution, amount of extractant, amount of nanoparticles, and time were regarded as factors in the optimization study. Results of the two-level full factorial design (2⁴) based on an analysis of variance demonstrated that only the pH, amount of extractant (E), and amount of nanoparticles (N) were statistically significant. Optimal conditions for the extraction of copper samples were obtained by using Box–Behnken design. Optimum conditions were 5.1, 7.2 mg, and 9.6 mg, for pH of solution, amount of nanoparticles, and amount of extractant, respectively. Under the optimized experimental conditions, the detection limit of the proposed method followed by ICP-OES was found to be 0.9?µg L^?1. The method was applied to the determination of copper in water and biological samples.     

Contributo Alla Flora Dell'alto Adige

In order to obtain a high ethanol yield from the Jerusalem artichoke raw extract and reduce the fermentation cost, we have engineered a new recombinant Saccharomyces cerevisiae strain that could produce ex-inulinase. The response surface methodology based on Plackett–Burman and Box–Behnken design was used to optimize the medium for the ethanol production from the Jerusalem artichoke raw extracts by the recombinant strain. In the first optimization step, Plackett–Burman design was employed to select significant factors, including concentrations of yeast extract, inoculum, and MgSO₄·7H₂O. In the second step, the steepest ascent experiment was carried out to determine the center point with the three significant factors; the selected combinations were further optimized using the Box–Behnken design. The maximum ethanol production rate was predicted at 91.1 g/l, which was based on a medium consisting of yeast extract 9.24 g/l, inoculum 39.8 ml/l, and MgSO₄·7H₂O 0.45 g/l. In the validating experiment, the ethanol fermentation rate reached 102.1 g/l, closely matching the predicted rate.     

超声波法提取刺五加(Acanthopanax senticosus)中丁香甙的研究

通过均匀设计的试验方法,探计了用超声波法提取刺五加根茎中丁香甙的工艺条件确定的最佳工艺条件为：水为溶剂,溶剂用量8mL／g,超声提取200min,提取温度为室温。     

A hybrid of back propagation neural network and genetic algorithm for optimization of collagen extraction from Malaysian cultured catfish (Hybrid Clarias sp.)

Fractional factorial design (FFD) was applied to evaluate the effects of various process parameters in influencing the extraction efficiency of pepsin soluble collagen (PSC) from muscles of cultured catfish (Clarias gariepinus×C. macrocephalus). Result of the first order factorial design showed that acetic acid concentration, acid extraction time, acetic acid to muscles ratio, and stirring speed posed significant effect (P<0.05) on the yield of PSC obtained at the end of the extraction process. Two different artificial intelligence techniques namely artificial neural network (ANN) and genetic algorithm (GA) were then integrated for optimizing the extraction conditions to obtain the highest yield of PSC. The ANN was trained using the back propagation algorithm. A model was successfully generated with R ² value of 0.9527 and MSE value of 0.1672 for unseen data set, implying a good generalization of the network. Input parameters of the established ANN model were subsequently optimized using GA. The hybrid of ANN-GA model predicted a maximum extraction yield of PSC at 238.25 mg/g under the following conditions: an acetic acid concentration of 0.70 M, the acetic acid to muscles ratio of 25.78 mL/g, and the stirring speed of 432.50 rpm. Verification of the optimization showed the percentage error differences between the experimental and predicted values were less than 5%, indicating excellent modeling, predicting ability and optimization by the ANN-GA model.     

Optimization of ultrasound-assisted aqueous two-phase system extraction of polyphenolic compounds from Aronia melanocarpa pomace by response surface methodology

Aronia melanocarpa berries are abundant in polyphenolic compounds. After juice production, the pomace of pressed berries still contains a substantial amount of polyphenolic compounds. For efficient utilization of A. melanocarpa berries and the enhancement of polyphenolic compound yields in Aronia melanocarpa pomace (AMP), total phenolics (TP) and total flavonoids (TF) from AMP were extracted, using ultrasound-assisted aqueous two-phase system (UAE-ATPS) extraction method. First, the influences of ammonium sulfate concentration, ethanol–water ratio, ultrasonic time, and ultrasonic power on TP and TF yields were investigated. On this basis, process variables such as ammonium sulfate concentration (0.30–0.35?g?mL^?1), ethanol–water ratio (0.6–0.8), ultrasonic time (40–60?min), and ultrasonic power (175–225?W) were further optimized by implementing Box–Benhnken design with response surface methodology. The experimental results showed that optimal extraction conditions of TP from AMP were as follows: ammonium sulfate concentration of 0.324?g?mL^?1, ethanol–water ratio of 0.69, ultrasonic time of 52?min, and ultrasonic power of 200?W. Meanwhile, ammonium sulfate concentration of 0.320?g?mL^?1, ethanol–water ratio of 0.71, ultrasonic time of 50?min, and ultrasonic power of 200?W were determined as optimum extraction conditions of TF in AMP. Experimental validation was performed, where TP and TF yields reached 68.15?±?1.04 and 11.67?±?0.63?mg?g^?1, respectively. Close agreement was found between experimental and predicted values. Overall, the present results demonstrated that ultrasound-assisted aqueous two-phase system extraction method was successfully used to extract total phenolics and flavonoids in A. melanocarpa pomace.     

均匀设计法优化高丽参多糖的提取

利用均匀设计法优化了高丽参多糖的提取过程.主要考察料液质量比、浸泡时间、提取温度和提取时间四个因素对提取率的影响.通过数学模型得到最优提取状况和3D曲面图.结果表明,提取温度对高丽参多糖得率影响最大,在料液质量比1:35、浸泡时间135 min、水提取温度81℃条件下提取156 min,高丽参多糖最大理论提取率为49.51%.最优化模型下实际多糖得率49.29%与理论得率相符.     

Extraction,development and validation of HPLC-UV method for rapid and sensitive determination of colchicine from Colchicum autumnale L. Bulbs

Colchicum autumnale L. also known as the autumn crocus, contains colchicine alkaloid having antifungal properties. The tuber of this plant is rich in terms of colchicine. In this research an ultrasound-assisted extraction (UAE) method was optimized for the extraction of colchicine from Colchicum autumnale L. bulbs before high-performance liquid chromatography with UV detection (HPLC-UV). Optimization of various extraction parameters was performed using response surface methodology (RSM) to evaluate the maximum colchicine yield from Colchicum autumnale L. bulbs. The Box-Behnken design (BBD) and RSM were used to investigate the effect of three key parameters (extraction time (20–60?min), extraction temperature (40–80?°C) and ultrasound power (500–700?W) on extraction efficiency. The variance analysis suggested that the dependent response variable of yield of colchicine may be expressed by a quadratic polynomial model. The optimal theoretical extraction conditions were found to be an ultrasonication power of 602.4?W, an extraction time of 42?min and a temperature of 64?°C. Under these conditions, the optimum foreseen yield was 0.237%. The experimental colchicine yield obtained by following the optimized conditions was found to be 0.238%. These values are very well compatible with each other.