Box-Behnken Design响应面法优化银杏叶提取物醇提水沉工艺

目的优化银杏叶提取物的醇提水沉工艺。方法在单因素试验基础上,以总黄酮醇苷转移率、萜类内酯转移率及干物质得率为综合评价指标,通过Box-Behnken Design(BBD)响应面法对液料比、提取时间、提取次数、提取液浓缩倍数、加水倍数、冷沉时间进行考察。结果醇提水沉最佳工艺为液料比8∶1(V/m),提取时间1.0 h,提取次数3次,浓缩倍数3倍,加水倍数3倍,冷沉时间28.0 h。结论BBD响应面法优化得到的银杏叶提取物醇提水沉工艺科学、合理、稳定、可行。

The Adsorption of Pb(II)Using Silica Gel Synthesized from Chemical Bottle Waste:Optimization Using Box-Behnken Design

The adsorption of Pb(II)on silica gel synthesized from chemical glass bottle waste has been studied.The effect of independent variables(adsorbent dose,initial concentration of Pb(II),contact time,and pH)on the Pb(II)removal from water was evaluated and optimized using the Response Surface Methodology(RSM).Under optimized conditions(adsorbent dose:20 mg;contact time:30 min;initial Pb(II)concentration:120 mg.L^(−1);and pH:8),the removal of Pb(II)was 99.77%.The adsorption equilibrium data obtained from the batch experiment were investigated using different isotherm models.The Langmuir isotherm model fits the experimental data.This shows that the surface of the silica gel synthesized from chemical bottles waste was covered by a Pb(II)monolayer.XRF analysis showed that the synthesized silica gel had a SiO_(2) content of 75.63%.Amorphous silica was observed from XRD analysis.SEM-EDX characterization showed that Pb was adsorbed on the silica gel surface.SEM analysis showed that silica gel has irregular particles with a surface area of 297.08 m2.g^(−1) with a pore radius of 15.74 nm calculated from BET analysis.

PB-BBD响应面法优化头花蓼提取工艺及抗氧化活性研究

目的利用Plackett-Burman和Box-Behnken响应面法优化头花蓼的总黄酮和总多酚超声提取工艺并研究其抗氧化活性。方法以头花蓼总黄酮和总多酚的综合得率为指标,通过单因素实验确定各影响因素的范围,再利用Plackett-Burman实验筛选影响综合得率的显著因素,最后采用Box-Behnken响应面法进行工艺优化;并通过考察提取物对DPPH自由基、羟基自由基的清除率和对Fe3+的还原能力来评价头花蓼的抗氧化性活性。结果影响综合得率的显著因素为超声功率、超声温度和超声时间,最优提取工艺为超声功率160W、超声温度58℃、超声时间38min、乙醇浓度40%、液料比25∶1(mL∶g),头花蓼中总黄酮和总多酚的综合得率为68.79mg·g^(-1),与模型预测值的相对误差为4.15%;当浓度为5mg·mL^(-1)时,此工艺条件下头花蓼提取物对DPPH自由基和羟基自由基的清除率分别为81.66%、84.93%,总还原能力达到2.48。结论采用基于PB实验设计和BBD响应面法优化得到的头花蓼总黄酮和总多酚提取工艺简便、稳定、可行,且得到的头花蓼提取物具有较强的抗氧化活性。

采用Box-Behnken Design优化玉米须总黄酮提取工艺

为获取玉米须中总黄酮的最佳提取工艺,采用Box-Behnken Design对微波辅助法进行了优化研究。通过建立二次多项式的预测模型,对影响总黄酮提取率的微波功率、提取时间、液固比分别进行研究。结果表明,微波功率240 W,提取时间11 min和液固比14 m L/g的参数条件下,实际提取率1.401%与模型理论预测值1.432%很接近。采用Box-Behnken Design优化后的工艺不仅总黄酮提取率高,而且省时、操作简单。

Box-Behnken Design效应面法在制剂处方优化中的应用

Box-Behnken Design(BBD)效应面法是一种实验条件寻优的方法 ,采用多元二次回归方程拟合各因素与响应值之间的函数关系,找出预测的响应最优值以及相应的实验条件,是种多因素非线性实验优化方法,可以评估因素的非线性影响,在处方优化中广泛使用。该设计方法试验次数少,应用方便,优选的条件预测性好。目前,微球、自乳化释药体系、脂质体等制剂的处方优化越来越多选择BBD的优化法。

Box-Behnken Design响应面法结合遗传算法和直接搜索算法优化丹栀逍遥散的提取工艺

目的:优化丹栀逍遥散的提取工艺。方法:采用加热回流提取法提取丹栀逍遥散组方药材样品粉末,以乙醇体积分数、提取时间和液料比(V/m)为考察因素,以栀子苷、芍药苷和丹皮酚3个指标成分的综合评分为评价指标,先采用Box-Behnken Design(BBD)响应面法进行试验设计,建立数学模型并获得目标函数后,结合遗传算法和直接搜索算法求解各因素的最优取值。结果:丹栀逍遥散中3个指标成分的最优提取工艺条件为60.8%乙醇提取3.1 h、液料比为15.72∶1(mL/g)。采用BBD响应面法或结合遗传算法和直接搜索算法所得的综合评分比较差异无统计学意义(P>0.05)。结论:经优化的工艺可用于丹栀逍遥散中3个指标成分的提取。BBD响应面法结合遗传算法和直接搜索算法在优化中药提取工艺方面具有一定优越性。

Box-Behnken Design-响应面法优化绿原酸转化为新绿原酸的工艺研究

利用Box-Behnken-响应面法优化绿原酸转化为新绿原酸的工艺条件。在单因素实验基础上,采用Box-Behnken Design实验设计,考察反应温度、反应时间及p H值对新绿原酸产率的影响,优化绿原酸转化为新绿原酸的工艺参数,得到模型预测公式。优化条件为:反应温度107℃,反应时间60 min,p H值为4.72时新绿原酸产率为64.20%,与模型预测值接近,方程拟合良好。采用优选工艺制备新绿原酸并精制纯化,分别运用HPLC、1H-NMR、13C-NMR、ESI-MS等方法对其进行含量测定和结构表征,结果表明纯化后纯度达98.78%,收率为87.37%。

基于Box-Behnken Design设计优化白藜芦醇纳米混悬剂的制备工艺

目的优化白藜芦醇纳米混悬剂的最佳制备工艺。方法采用反溶剂沉淀法制备白藜芦醇纳米混悬剂,以聚乙烯吡咯烷酮PVPK 17 PF为助悬剂,泊洛沙姆F188为表面活性剂,以粒径及多分散指数为响应值,应用Box-Behnken Design响应面实验设计优化白藜芦醇纳米混悬剂的最佳处方,并采用桨法进行体外释放实验评价其药物释放特征。结果优化后的纳米混悬剂处方为:白藜芦醇的质量浓度为29.2 mg/mL,助悬剂PVP K17PF的质量分数为0.38%,表面活性剂Poloxmer 188质量浓度为3.63 mg/mL。所制备纳米混悬剂的粒径大小为145 nm左右,在1 h的累积释放接近80%,释放机制为扩散作用为主。结论将白藜芦醇制备成纳米混悬剂可以提高白藜芦醇的溶出度,为难溶性药物白藜芦醇的进一步开发奠定了基础。

Optimization of Cultivation Conditions for Exopolysaccharide and Mycelial Biomass by Clitocybe sp. Using Box-Behnken Design

Response surface (RSM) methodology based on a three-level three-factor Box-Behnkendesign of experiment was used to optimize the exopolysaccharide content (EPC) and themycelium biomass in submerged cultivation by Clitocybe sp. AS 5.112. The criticalfactors selected for the investigation were cultivation temperature, time and volume ofmedium, based on the results of previous Plackett-Burman design. By analyzing theresponse surface plots, the optimum ranges of cultivation temperature, time and mediumvolume for obtaining over 1 253.00gmL-1 of EPC lie in 24.325.8℃, 9.710.2d and 76.090.0mL, respectively. While for obtaining over 8.32 mg mL-1 of dry cell weight (DCW), theabove variables would be in the range of 23.824.8℃, 9.610.3d and 71.098.0mL,respectively. By solving the inverse matrix from the quadratic regression equations, theoptimal conditions to gain 1 265.45gmL-1 of EPC were 25.0℃, 9.9d and 83.4mL, to gain8.50mg mL-1 of DCW were 24.4℃, 9.9d and 87.1mL. In order to obtain the maximum yield ofEPC and DCW at the same time, the above conditions would be 24.5℃, 9.9d and 84.7mL,respectively, in this situation, the maximum predicted EPC and DCW were 1 261.60gmL-1and 8.47mgmL-1, respectively. The experimental data under various conditions have validatedthe theoretical values.

Modeling and optimization of methane dry reforming over Ni-Cu/Al_2O_3 catalyst using Box-Behnken design

In this work the effects of the contents of nickel （5, 7.5, 10 wt%） and copper （0, 1, 2 wt%） and reac- tion temperature （650, 700, 750 ℃） on the catalytic performance of Ni-Cu/Al_2O_3 catalyst in methane dry reforming were evaluated using Box-Behnken design in order to optimize methane conversion, H_2/CO ratio and the catalyst deactivation. Different catalysts were prepared by co-impregnation method and characterized by XRD, BET, H_2-TPR, FESEM and TG/DTA analyses. The results revealed that copper addi- tion improved the catalyst reducibility. Promoted catalyst with low amounts of Cu gave higher activity and stability with high resistance to coke deposition and agglomeration of active phase especially during the reaction. However catalysts with high amounts of Cu were less active and rather deactivated due to the active sites sintering as well as Ni covering by Cu-enriched phase. The optimal conditions were de- termined by desirability function approach as 10 wt% of Ni, 0.83 wt% of Cu at 750℃. CH_4 conversion of 95.1%, H_2/CO ratio of 1 and deactivation of 1.4% were obtained experimentally under optimum conditions, which were in close agreement with the values oredicted hv the developed model.

Optimization of the Electrospinning Conditions by Box-Behnken Design to Prepare Poly(Vinyl Alcohol)/Chitosan Crosslinked Nanofibers

Electrospun poly(vinyl alcohol)/chitosan nanofibers had their solution and process parameters optimized using a Box-Behnken design and desirability function. Four factors (applied voltage, flow rate, distance tip-to-plate and amount of chitosan) were varied to produce electrospun mats with a low fiber diameter. An empirical model was developed for each response using response surface methodology (RSM), which revealed that flow rate had no significant influence on the assessed responses. With desirability function, the optimal conditions to produce the nanofibers were applied voltage of 13.1 kV, 30% chitosan concentration and distance tip-to-plate of 10 cm. The fiber diameter and standard deviation were 196.5 ± 28.3 nm, compared to the predicted values of 185.9 ± 26.8 nm. The desirability function allied with Box-Benhken design proved themselves important tools to predict process parameters for the development of nanofibers. The mats were crosslinked with glutaraldehyde for 24 h and 48 h and presented good water stability and enhanced mechanical properties.

BBD-RSM法优选蛋黄油软膏的制备工艺研究

目的优选蛋黄油水包油型(O/W)和油包水型(W/O)软膏的制备工艺。方法通过干馏法提取蛋黄油,以颜色、硬度、皮肤涂抹均匀性等考察因素综合评分为指标,采用Box-Behnken设计-响应面法(BBDRSM)优选最佳成型工艺。结果优选出的O/W型软膏的处方为:十八醇2.94 g,白凡士林2.59 g,十二烷基硫酸钠0.20 g,甘油1.24 g,蒸馏水10 g,蛋黄油2.55 g;W/O型软膏的处方为:液状石蜡3.87 g,硬脂酸0.25 g,蜂蜡1.62 g,硼砂0.09 g,水1.65 g,石蜡1.3 g,蛋黄油1.32 g。结论采用最佳制备工艺制备的O/W型与W/O型蛋黄油软膏成型性能优良,涂抹性好。O/W型软膏较W/O型软膏颜色较浅且油腻感低,显微镜下油滴分布较均匀且密集。该制备工艺简单可行,稳定可靠,适用于工业化生产。

基于PBM和BBD的轴流螺旋式分离器结构优化

为解决稠油因黏度及密度较大而难以实现油水分离的问题,借助轴流螺旋式分离器研究稠油分离性能,并利用群体平衡模型和box-Behnken design对结构进行优化设计。研究表明:与溢流管插入深度相比,轴流螺旋式分离器的旋流腔长度、螺旋流道数、锥角及溢流管直径对油水分离性能有更大的影响;螺旋流道数和锥角对除油效率的交互影响大于其他结构参数,而螺旋流道数和溢流管直径对压降的交互影响更大;分离器优化后的除油效率为85.44%(增大3.56%)、底流含油体积分数为2.01%(降低0.3%),溢流、底流压降分别为0.724 MPa(降低0.234 MPa)和0.348 MPa(降低0.337 MPa)。设计得到的轴流螺旋式分离器可为稠油采出液分离装置设计与应用提供重要参考。

Box-Behnken Design响应面法优化银杏叶总黄酮柱层析纯化工艺

为得到质量分数较高的银杏叶总黄酮提取物,在单因素试验基础上,以上样质量浓度、乙醇体积分数、洗脱液接收体积和洗脱流速为考察因素,以银杏叶总黄酮质量分数、收率为考察指标,采用BBD(Box-Behnken Design)响应面法对银杏叶总黄酮柱层析纯化工艺进行优化。得到最佳工艺为上样质量浓度3.1 mg/mL,乙醇体积分数71%,洗脱液接收体积2 BV(BV为装柱体积)及洗脱流速2 BV/h。在最佳工艺条件下,完成三批验证实验,银杏叶总黄酮平均质量分数可达到35.77%,收率为93.30%,银杏总内酯质量分数达到《中国药典》标准。利用BBD响应面法优化银杏叶总黄酮柱层析纯化工艺是科学、合理、可行的,可为工业化大生产提供参考。

Silica Gel from Chemical Glass Bottle Waste as Adsorbent for Methylene Blue:Optimization Using BBD

This research focuses on the effective removal of methylene blue dye using silica gel synthesized from chemical glass bottle waste as an environmentally friendly and cost-effective adsorbent.The adsorption process was optimized using Box-Behnken Design(BBD)and Response Surface Methodology(RSM)to investigate the influence of pH(6;8 and 10),contact time(15;30 and 45 min),adsorbent mass(30;50 and 70 mg),and initial concentration(20;50 and 80 mg/L)of the adsorbate on the adsorption efficiency.The BBD was conducted using Google Colaboratory software,which encompassed 27 experiments with randomly assigned combinations.The silica gel synthesized from chemical glass bottle was characterized by XRD,FTIR,SEM-EDX and TEM.The adsorption result was measured by spectrophotometer UV-Vis.The optimized conditions resulted in a remarkable methylene blue removal efficiency of 99.41%.Characterization of the silica gel demonstrated amorphous morphology and prominent absorption bands characteristic of silica.The Langmuir isotherm model best described the adsorption behavior,revealing chemisorption with a monolayer coverage of methylene blue on the adsorbent surface,and a maximum adsorption capacity of 82.02 mg/g.Additionally,the pseudo-second-order kinetics model indicated a chemisorption mechanism during the adsorption process.The findings highlight the potential of silica gel from chemical glass bottle waste as a promising adsorbent for wastewater treatment,offering economic and environmental benefits.Further investigations can explore its scalability,regenerability,and reusability for industrial-scale applications.

酵母菌混合发酵乳清液及其乙醇发酵阶段工艺优化

选择马克斯克鲁维酵母CGMCC13907(以下简称马氏酵母CGMCC13907)和酿酒酵母AS2.119为混合发酵剂发酵乳清液制备乳清醋,并采用Plackett-Burman Design(PBD)和Box-Behnken Design(BBD)试验优化乙醇发酵阶段的工艺。结果表明:乙醇发酵阶段的最优工艺为马氏酵母CGMCC13907接种量4.0×10^(6) CFU/mL,酿酒酵母AS2.119接种量4.5×10^(6) CFU/mL,发酵时间151 h,发酵温度40.0℃,发酵pH值5.6,姜粉用量0.09 g/100 mL,在此条件下,发酵液中乙醇浓度可达8.70%vol,比优化前增加了56.2%。因此,选用马氏酵母CGMCC13907结合酿酒酵母AS2.119混合发酵乳清液,可有效解决乳清醋制作过程中的乳糖发酵难题,并获得较理想的乙醇浓度。

BoX-Behnken响应面优化冷榨花生粕酶解制备花生肽工艺

在单因素试验基础上应用Box-Behnken响应面优化技术对中性蛋白酶酶解冷榨花生粕蛋白质制备活性多肽工艺进行了响应面优化分析,建立了酶促水解二阶多项式非线性回归方程和数值模型并分析了酶解时间X_1、酶添加量X_2、酶解pHX_3以及底物浓度X_4对多肽制备的影响规律。响应面优化方案为酶解时间200 min,酶添加量0.081 g/mL,酶解pH 10.0和底物质量浓度0.083 g/mL。优化条件下验证试验结果为(0.135 6±0.001 4)%,与模型预测值0.137 7%接近,偏差为1.55%。研究表明,单因素试验与响应面优化联用可应用于冷榨花生粕酶促水解制备活性多肽工艺的优化分析。

经典名方开心散制剂工艺研究

目的:研究经典名方开心散提取制剂工艺,提高活性成分转移率,保证药品质量。方法:采用水蒸气蒸馏法提取石菖蒲挥发油,Box-Behnken实验设计方法优化所得挥发油包合工艺;以总多糖量、总皂苷量和出膏率为指标,通过均匀设计法确定后续水煎煮提取的料液比、时间和次数等条件。结果:确定β-环糊精与挥发油比例为6∶1,包合温度40℃,包合时间为80 min的包合工艺;水煎煮提取条件为料液比1∶12,提取时间3 h,提取次数3次。结论:该实验确定了开心散提取制剂工艺条件,挥发油成分转移率增加近94.94%。

Plackett-Burman Design联用Box-Behnken Design优化香菇酱的工艺

采用Plackett-Burman Design(PBD)与Box-Behnken Design(BBD)优化香菇酱的工艺条件,以获得其最佳制作工艺。在单因素试验基础上,通过PBD筛选出黄豆酱添加量、绵白糖添加量、酵母提取物添加量3个影响香菇酱感官评分的显著因素。采用BBD与主成分分析法对3个显著因素进行条件优化。确定香菇酱最佳工艺配方:以香菇100 g为基准,黄豆酱25%、植物油10%、盐10%、芝麻0.5%、酿造酱油1%、绵白糖4%、谷氨酸钠0.6%、酵母提取物4%、5-呈味核苷酸二钠0.03%、食用香精1%。规范化综合得分为0.968分,与预测值相近。PBD与BBD联合应用,为香菇酱的制作工艺提供一种新方法,既可快速筛选出显著因子,有效优化试验,又能避免浪费试验资源。

基于双响应面法和BBD的车辆悬架系统稳健设计

选用某种型号车辆的麦弗逊悬架系统,探讨悬架系统设计中同时考虑车辆的操纵稳定性和乘客的乘座舒适性问题,运用ADAMS软件对麦弗逊悬架进行建模并对其进行空间运动学定义。将悬架系统的结构尺寸视为可控因素,刚度和阻尼为不确定因素。通过对该悬架的一系列跳动分析和试验仿真得出对悬架的跳动特性影响较大的关键点,运用box-behnken design(BBD)试验方法安排试验,采用稳健设计中的双响应面法对车辆悬架系统进行稳健性分析。为车辆悬架系统的研究提供了一种新的方法。