响应面法优化卑霉素发酵培养基的研究

在对卑霉素发酵培养基进行全因子试验和最陡爬坡试验后,运用Box-Behken设计的响应面试验(Response-surface experiment)对绿色产色链霉菌TN-29进行卑霉素发酵培养基的优化。响应面法对40h分批发酵结果的优化分析表明:豆饼粉、甘露醇及葡萄糖三种因素对卑霉素无明显的交互作用,在豆饼粉、甘露醇和葡萄糖的浓度分别为3.61%,2.99%,0.58%时,发酵液中效价值达到77.9U/ml的最大值。     

利用响应面法优化红谷霉素发酵培养基*

在摇瓶条件下,对链霉菌702发酵生产过程中的主要培养基组成对产红谷霉素影响进行的研究。试验采用响应面法优化摇瓶发酵培养基,利用全因子实验设计筛选出对链霉菌702产红谷霉素重要影响因子黄豆饼粉和工业蛋白胨,应用最陡爬坡实验法接近重要因子的最优水平,然后应用中心复合设计确定重要因子的最优水平。优化后的培养基组成为：玉米淀粉20g,玉米粉20g,葡萄糖20g,磷酸二氢钾0．3g,蛋白胨9g,黄豆饼粉23g,硝酸钾2．5g,硫酸铵2．5g,豆油5mL,氯化钠3g,碳酸钙6g,定容至1L。实验结果表明,采用优化后的培养基,其发酵液红谷霉素效价达到1,500μg／mL,比优化前提高了3.08倍。     

响应面法优化纤维堆囊菌SoF5-76产埃博霉素B发酵培养基

以纤维堆囊菌SOF5-76为试验菌株,用响应面分析法对其产埃博霉素B的培养基进行优化,以提高埃博霉素B的产量。在单因素试验的基础上,利用Plackett-Burman筛选出对埃博霉素B产量有显著影响的3个因素为马铃薯淀粉、脱脂奶粉和无水氯化钙,在此基础上通过最陡爬坡试验逼近最佳响应面区域;再运用Box-Behnken试验设计和响应面分析法进行回归分析,确定重要因素的最优浓度。得到最佳发酵培养基为:马铃薯淀粉3.9 g/L、脱脂奶粉2.2 g/L、无水氯化钙1.3 g/L、葡萄糖1 g/L,豆饼粉1.5g/L,七水硫酸镁2.5 g/L,EDTA-Fe3+3 mL/L,微量元素(TE)0.5 mL/L,VB121 mL/L。在此最优条件下发酵埃博霉素B的产量为29.95 mg/L,与模型预测值接近,发酵产量比优化前提高了1.1倍。     

响应面法优化赖氨酸发酵培养基

运用Ｂｏｘ－Ｂｅｈｋｅｎ设计的响应面试验（Ｒｅｓｐｏｎｓｅ－ｓｕｒｆａｃｅ ｅｘｐｅｒｉｍｅｎｔ）对黄色短杆菌（Ｂｒｅｕｉｂａｃｔｅｒｉｕｍ ｆｌａｕｕｍ）ＦＢ４２进行赖氨酸发酵的培养基进行了优化。响应面法对７２小时分批发酵结果的优化分析表明：硫酸铵、豆饼水解液及玉米浆三种因素对赖氨醚发酵无明显的交互作用,在硫酸铵、豆饼水解液和玉米浆的浓度分别为５％、２％和３％时,发酵液中的产酸达到５４．０６ｇ／     

响应面法优化普鲁兰多糖发酵培养基

以出芽短梗霉IFO 4464为实验菌种,采用响应面法(RSM)优化了出芽短梗霉IFO 4464产普鲁兰多糖的发酵培养基。通过实验得到出芽短梗霉最佳发酵培养基为蔗糖59.8g/L,硫酸铵0.7 g/L,硫酸镁0.3 g/L,磷酸二氢钾5.0g/L,氯化钾0.5g/L,氯化钠1.5g/L,酵母浸膏2.5 g/L,多糖产量可达21.92 g/L。     

利用响应面法优化L-组氨酸摇瓶发酵培养基

通过单因素实验对L-组氨酸产生菌LGS4的发酵培养基成分进行筛选,确定了3个影响较大的重要因素,即酵母膏、尿素、硫酸镁。在此基础上,采用二次响应面分析法进行回归分析,得到各因素的最佳水平值。经5批培养验证,预测值与验证试验平均值接近。优化后培养基组成为(g.L-1):蔗糖150,硫酸铵50,酵母膏10,尿素1.2,MgSO42.2,KH2PO41.5,K2HPO40.5,Na2HPO40.5。优化后的发酵培养基使LGS4菌株的L-组氨酸产量提高了15.25%。     

响应面法优化叶酸高产菌发酵培养基及发酵条件

采用响应面法对叶酸产生菌产朊假丝酵母Y2.12的发酵发酵培养基及发酵条件进行优化.首先,采用Plackett-Burman方法对影响发酵各因素的效应进行评价,筛选出有显著效应的3个因素：碳源乳糖、pH值和摇床转速;并通过Box-Benhnken设计和响应面分析法对这3个主要影响因素进行分析.结果表明,优化后这3个因素的最佳值为摇床转速196r/min、pH7和碳源乳糖含量为6.25%.采用优化后的发酵培养基及发酵条件进行摇瓶发酵,叶酸的含量可达23.14±0.13mg/L,取得了很好的优化效果.     

响应面法优化嗜热链球菌增殖培养基

目的 为了降低嗜热链球菌工业化生产成本,提高其发酵活菌数,对嗜热链球菌原始培养基的成分进行了响应面优化.方法 利用Design-Expert软件首先采用Plackett-Burman试验设计筛选出了影响嗜热链球菌生长的显著因子,再依据响应面法设计试验,得到嗜热链球菌的优化培养基配比.结果 乳糖、酵母粉和L-半胱氨酸为嗜热链球菌生长的显著性因子;优化后培养基配比由结果分析可知,当活菌数达到最大值时,即:乳糖的浓度为3.6％,酵母粉的浓度为1.74％,L-半胱氨酸的浓度为1.1％,牛肉蛋白胨1％,酪胨1％,KH2PO4 0.20％,Na2 HPO40.20％,叶温-80 0.1％活菌数为最高2.34×109 CFU/mL.结论 采用响应面分析法优化的培养基较经典TPY培养基活菌数提高了近2～3倍.     

响应面分析法优化大豆肽发酵培养基

采用响应面分析法对大豆肽发酵培养基进行优化,首先采用二水平Plackett-Burman设计对影响大豆肽发酵的8个因素进行筛选,获得影响最大的3个因素为料水比、MgSO_4、糖蜜.再利用响应面分析法对这3个因素进行优化,确定最佳培养基条件为料水比为1∶1.149、MgSO_4浓度为0.048%、糖蜜浓度为0.294%,在此条件下,优化后的大豆肽含量为21.74%,试验值与模型预测值只有1.21%的误差.     

响应面法优化杀鱼假交替单胞菌2515发酵培养基

杀鱼假交替单胞菌(Pseudoalteromonas piscicida)2515是一株具有广谱抗弧菌性能的菌株，为提升菌株2515的培养生物量，通过单因素优化方法，研究碳源、氮源、无机盐等营养成分对菌株2515的发酵产量的影响，确定关键营养因子，利用响应面分析法对影响菌株2515生物量的关键营养因子进行优化。结果显示，菌株2515的最佳发酵培养基配方为麦芽糖2.85 g/L、CaCl₂ 0.65 g/L、MnCl₂ 0.10 g/L、酵母膏3.85 g/L、胰蛋白胨10 g/L、NaCl 10 g/L。优化后的培养基使菌株2515在锥形瓶和发酵罐中发酵的OD₆₀₀值分别为1.416和1.866,生物量分别提高了36.4%和40.4%,其发酵上清液和细胞内容物的抑菌活性分别提高了28.2%和27.2%。表明响应面法优化后的培养基有利于提高菌株2515的发酵生物量及抗菌效果，研究结果为菌株2515的后续开发应用提供了参考。     

响应面法优化产酰胺酶发酵培养基

采用响应面分析方法,对阿萨希丝孢酵母（Trichosporon asahii）ZZB-1产酰胺酶的发酵培养基进行了优化。运用单N子试验筛选出麦芽糖和酵母浸膏为最适碳源、氮源,金属离子Ca^2＋、Mn^2＋可提高发酵酰胺酶产量;通过最陡爬坡实验逼近以上4个因子的最大响应区域后,采用Box—Behnken响应面分析法,确定产酰胺酶最佳发酵培养基为麦芽糖18．84g／L、酵母浸膏9．55g／L、NaC15g／L、KH2PO41g／L、MgSO4·7H2O0．2g／L、FeS040．001g／L、CaC0370．84μmol／L、MnS0465．39肚mo[／L（1％丙烯酸诱导）,NH4·H2O调节pH至7．0。培养基优化后酰胺酶产量由初始2554U／L提高到4156U／L,为原始发酵培养基配方酶活产量的1．63倍。     

响应面法优化波赛链霉菌JMC 06001发酵培养基

采用响应面法对产生抑菌活性物质的波赛链霉菌（Streptomyces peucetius）菌株JMC 06001的发酵培养基进行优化。首先采用Minnimum Run Equireplicated Res IV设计对初始发酵培养基的8个营养因素进行筛选,获得影响产生抑菌活性物质的3个主要影响因素：葡萄糖、大豆粉和NaCI;然后用最陡爬坡实验快速逼近最大响应区域;最后,结合Box-Behnken设计及响应面分析,确定主要影响因素的最佳浓度,得出该菌株产抑菌活性物质的最优发酵培养基配方为：葡萄糖1．2％,麦芽糖0．7％,蛋白胨0．9％,大豆粉1．4％,NaCl3．7％,CaCO3 0．1％,复合盐A液2．0％,复合盐B液0．1％,起始pH值7．0。用优化后的培养基发酵所得发酵液对敏感指示菌藤黄八叠球菌的抑菌圈直径达31．5mm,与预测值的相对偏差仅为1．59％,与用初始发酵培养基发酵所得发酵液的抑菌效果（抑菌圈直径26．5mm）相比提高了18．9％。     

Box-Behnken响应面法优化司替霉素B产生菌发酵条件

【背景】粗糙链霉菌(Streptomyces scabrisporus) HBERC-53204是本中心自主分离的一株链霉菌,经鉴定,其产生一种活性化合物司替霉素B (steffimycin B,SMB),对多种动植物重要病原菌具有良好生物活性。【目的】提高SMB发酵水平,拓宽放线菌活性天然产物在农牧业领域的研究及应用。【方法】以本实验室筛选出的一株产SMB的粗糙链霉菌HBERC-53204为研究对象,运用单因素试验筛选培养基的主效碳源、氮源、无机盐及各营养成分最适浓度,并基于单因素试验结果,通过Plackett-Burman(PB)试验设计筛选出显著影响因素,再结合最陡爬坡试验、Box-Behnken (BB)响应面法拟合显著因子与产量的非线性方程求解,进一步优化菌株产SMB的最佳发酵培养基配方。【结果】优化后最佳培养基配方为：葡萄糖36.22 g/L,蛋白胨8.00 g/L,酵母粉8.51 g/L,酸水解酪蛋白1.50 g/L,MgSO₄ 0.68 g/L,KNO₃ 1.00 g/L。经摇瓶验证,优化后SMB效价达到477.26 mg/L...     

响应面分析法优化黑根霉胞外多糖发酵工艺

实验以商品化的马铃薯葡萄糖液体培养基为基础培养基,以胞外粗多糖产量为考察指标,运用响应面分析法考察玉米浆浓度、KH₂PO₄浓度和发酵时间3个因素对胞外多糖发酵产量的影响,以获得黑根霉胞外多糖发酵最优工艺,建立高产、稳定、可控的胞外多糖发酵生产工艺技术方案。经响应面分析,各因素按照对响应值的影响顺序为：玉米浆浓度>发酵时间> KH₂PO₄浓度,且玉米浆浓度、发酵时间对胞外多糖产量的影响极显著,KH₂PO₄浓度对胞外多糖产量的影响不显著。胞外多糖发酵最优工艺为：玉米浆3.2mg/mL、KH₂PO₄ 1.5mg/mL和发酵时间132h,在此条件下胞外多糖的最大预测产量为0.824mg/mL。实验重复性好,是一个高产、稳定、可控的胞外多糖发酵生产工艺技术方案,可以指导黑根霉胞外多糖发酵。     

Optimization of fermentation condition for antibiotic production by Xenorhabdus nematophila with response surface methodology

Aims: To evaluate the influence of environmental parameters on the production of antibiotics (xenocoumacins and nematophin) by Xenorhabdus nematophila and enhance the antibiotic activity. Methods and Results: Response surface methodology (RSM) was employed to study the effects of five parameters (the initial pH, medium volume in flask, rotary speed, temperature and inoculation volume) on the production of antibiotics in flask cultures by X. nematophila YL001. A 2^5?1‐factorial central composite design was chosen to explain the combined effects of the five parameters and to design a minimum number of experiments. The experimental results and software‐predicted values of production of antibiotics were comparable. The statistical analysis of the results showed that, in the range studied, medium volume in flask, rotary speed, temperature and inoculation volume had a significant effect (P < 0·05) on the production of antibiotics at their individual level, medium volume in flask and rotary speed showed a significant influence at interactive level and were most significant at individual level. The maximum antibiotic activity was achieved at the initial pH 7·64, medium volume in 250 ml flask 25 ml, rotary speed of 220 rev min^?1, temperature 27·8°C and inoculation volume of 15·0%. Maximum antibiotic activity of 331·7 U ml^?1 was achieved under the optimized condition. Conclusions: As far as known, there are no reports of production of antibiotic from X. nematophila by engineering the condition of fermentation using RSM. The results strongly support the use of RSM for fermentation condition optimization. The optimization of the environmental parameters resulted not only in a 43·4% higher antibiotic activity than unoptimized conditions but also in a reduced amount of the experiments. The chosen method of optimization of fermentation condition was efficient, relatively simple and time and material saving. Significance and Impact of the Study: This study should contribute towards improving the antibiotics activity of X. nematophila. Integrated into a broader study of the impact of environmental factors on the production of antibiotic, this work should help to build more rational control strategy, possibly involving scale‐up of production of antibiotics by X. nematophila.     

Response surface methodology for optimizing the fermentation medium of alpha-galactosidase in solid-state fermentation

AIMS: Alpha-galactosidase is applied in food and feed industries for hydrolysing raffinose series oligosaccharides (RO) that are the factors primarily responsible for flatulence upon ingestion of soybean-derived products. The objective of the current work was to develop an optimal culture medium for the production of alpha-galactosidase in solid-state fermentation (SSF) by a mutant strain Aspergillus foetidus. METHODS AND RESULTS: Response surface methodology (RSM) was applied to evaluate the effects of variables, namely the concentrations of wheat bran, soybean meal, KH(2)PO(4), MnSO(4).H(2)O and CuSO(4).5H(2)O on alpha-galactosidase production in the solid substrate. A fractional factorial design (FFD) was firstly used to isolate the main factors that affected the production of alpha-galactosidase and the central composite experimental design (CCD) was then adopted to derive a statistical model for optimizing the composition of the fermentation medium. The experimental results showed that the optimum fermentation medium for alpha-galactosidase production by Aspergillus foetidus ZU-G1 was composed of 8.2137 g wheat bran, 1.7843 g soybean meal, 0.001 g MnSO(4).H(2)O and 0.001 g CuSO(4).5H(2)O in 10 g dry matter fermentation medium. CONCLUSIONS: After incubating 96 h in the optimum fermentation medium, alpha-galactosidase activity was predicted to be 2210.76 U g(-1) dry matter in 250 ml shake flask. In the present study, alpha-galactosidase activity reached 2207.19 U g(-1) dry matter. SIGNIFICANCE AND IMPACT OF THE STUDY: Optimization of the solid substrate was a very important measure to increase enzyme activity and realize industrial production of alpha-galactosidase. The process of alpha-galactosidase production in laboratory scale may have the potential to scale-up.     

响应面法优化生防菌吡咯伯克霍尔德氏菌JK-SH007的发酵工艺

以吡咯伯克霍尔德氏菌Burkholderia pyrrocinia JK-SH007为出发菌株,对其发酵工艺进行优化,以期提高发酵效率.通过筛选试验、最陡爬坡试验和响应面分析确定影响JK-SH007菌株生长最重要两因素为玉米浆和葡萄糖,其最佳浓度分别为13.88 g/L和3.37 g/L.优化后的发酵工艺培养该菌浓度可达1.18×109 CFU/mL,比优化前提高1.35倍,抑菌活性提高28.84％.     

响应面法优化荷叶离褶伞菌丝体产漆酶条件

为了对荷叶离褶伞产漆酶条件进行优化,在单因素实验基础上,通过最陡爬坡实验(PB)对培养基8因素进行筛选,获得影响产漆酶的3个显著性因素:葡萄糖,pH和KH₂PO₄;通过中心组合(CCD)设计及响应面分析确定了最优发酵条件:葡萄糖20.09g/L,酪蛋白1.5g/L,酵母提取物1.5g/L,MgSO₄ 3g/L,CuSO₄ 3.75mg/L,KH₂PO₄ 3.97g/L,pH 4.98,VB₁ 0.1g/L,愈创木酚12mg/L,该条件下,漆酶酶活为829.83U/mL,较未优化对照提高46.6%.     

响应面法优化维生素K_2(MK-7)发酵条件

对实验室保藏的一株维生素K2(MK-7)高产菌的摇瓶发酵条件进行优化,结果表明菌体在静置培养状态下比在摇瓶培养状态下能够合成更多的维生素K2;同时发现玉米粉经过高温淀粉酶液化之后非常适合作为合成维生素K2的碳源。最后利用响应面法对发酵培养基中主要因素的最适宜水平及其交互作用进行了研究与探讨,优化后维生素K2产量由7.09 mg·L-1提高到了67.22mg·L-1,高于文献报道值。     

响应面法对微拟球藻产微藻蛋白的发酵条件优化

以稳定期微藻蛋白浓度为评价指标,利用响应面设计对微拟球藻(Nannochloropsis gaditana)的分批发酵条件进行优化。在单因素试验的基础上,选取温度、p H、搅拌速度及通气量为影响因子,采用四因素三水平的Box-Benhnken中心组合法设计试验。结果表明:微拟球藻的最佳发酵条件为温度30℃、p H 6.9、搅拌速度340 r/min以及通气量0.65 vvm,在此优化条件下得到微藻蛋白浓度为6.18 g/L,与模型预测值基本相符,较优化前提高了9.18%。