保护剂对重组大肠杆菌NMN转移酶稳定性的影响

通过向NMN转移酶( Nmnat)中添加保护剂以提高其热稳定性及储存稳定性,扩大酶的使用范围。研究了固体醇类(山梨醇、甘露醇)、糖类(海藻酸钠、蔗糖、甘露糖)和有机溶剂( DMSO、丙二醇-单甲醚、乙醇、甘油)对Nmnat的稳定性的作用,通过正交实验得到一种复合保护剂,并研究复合保护剂对Nmnat最适反应温度、pH稳定性、储存稳定性的影响。结果表明,山梨醇、海藻酸钠和DMSO能够显著提高Nmnat的热稳定性。复合保护剂配方为山梨醇1.5 g/L,海藻酸钠1.0 g/L, DMSO 0.5%。复合保护剂的添加使Nmnat的最适反应温度从37℃提高到50℃;50℃保温2 h酶活提高了24.5%;pH使用范围由7.0~8.0扩大到6.0~8.0;4℃储存28 d后,酶活保留率提高了15.65%。     

响应面法优化重组工程菌的发酵工艺条件

目的：对基因改造运动发酵单胞菌的发酵工艺条件进行优化,提高重组菌发酵乙醇产量。方法：使用分子克隆实验操作技术构建重组运动发酵单胞菌,以单因素实验为基础,利用Box-Behnken中心组合实验和响应面分析法,确定了影响重组菌高产乙醇的三个重要因素。结果：成功构建含有YfdZ、MetB基因和Hsp基因的重组菌Zymomonas mobilis HYM,发酵主要影响因素的最佳条件分别为温度28℃,葡萄糖浓度24%（W/V）,pH7.4。在此优化条件下,Zymomonas mobilis HYM的乙醇产量可高达105.0735g/l,比原始菌株乙醇产量提高16.4%。结论：用中心组合设计和响应面分析法优化重组运动发酵单胞菌的发酵工艺条件,显著提高乙醇产量。     

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／     

响应面设计优化绿僵菌固体发酵条件

【目的】为了提高绿僵菌分生孢子产量及孢子质量,应用响应面设计对金龟子绿僵菌菌株CY-1(Metarhizium anisopliae)进行固体发酵培养基的优化。【方法】单因素试验基础上,采用响应面试验设计方法优化培养基组分。【结果】添加了碳、氮营养的最佳固体发酵培养基为玉米粉:稻壳=8:2,料水比1:0.8,葡萄糖0.8%,硫酸铵2.5%,磷酸二氢钾0.8%;在固体培养基上的理论产孢量为7.45×10~9个/g;验证后实际为6.94×10~9个/g。【结论】运用响应面法对绿僵菌固体发酵的培养基成分进行优化,得到了绿僵菌孢子粉,为孢子粉进行地下害虫防治和制剂加工的研究奠定了基础。     

响应面分析法优化重组大肠杆菌生物合成谷胱甘肽的条件

通过响应面分析法和典型性分析得出重组大肠杆菌酶法合成谷胱甘肽的最优条件:菌体量249 mg/mL,磷酸钾缓冲液145 mmol/L,MgCl243 mmol/L和ATP 34 mmol/L,预测谷胱甘肽最大量为16.50 mmol/L。验证性实验证明在优化条件下,重组大肠杆菌酶法合成谷胱甘肽达16.42 mmol/L。响应面分析还表明,在重组大肠杆菌酶法合成谷胱甘肽各因素中,MgCl2和ATP,以及菌体量与磷酸钾缓冲液之间的交互作用较显著。     

响应面法优化酿酒酵母产油脂条件

运用响应面法对酿酒酵母(Saccharomyces cerevisiae)产油脂以及发酵条件优化进行了研究。首先根据单因素实验结果,利用Plackett-Burman设计对影响其产油脂相关因素进行评估并筛选出具有显著效应的3个因素:柠檬酸,CaCl2和初始pH值。接着用最陡爬坡试验逼近以上3个因子的最大响应区域后,采用Box-Behnken设计以及响应面分析法,确定其优化后发酵条件为(w/v):葡萄糖15%,蛋白胨0.2%,酵母浸粉0.4%,柠檬酸0.471%,MgSO4·7H2O0.1%,ZnSO4·7H2O0.2%,CaCl20.025%,FeSO4·7H2O0.005%,初始pH值为6.74,180r/min,30°C培养96h。优化后的油脂产率(干重)达到14.55%,比在种子培养基中油脂产率4.76%提高了2倍左右。     

响应面法优化青枯病生防菌Hrp~-菌株的发酵条件

对工程菌Hrp-菌株的摇瓶发酵条件进行优化。首先采用Plackett-Burman设计法对影响Hrp-菌株活菌量的6个因素进行评价,筛选出具有显著效应的2个因素(发酵温度和摇床转速),再用最陡爬坡试验法接近重要因子的最优水平,最后应用中心组合设计确定重要因子的最优水平。确定优化后的发酵条件:初始pH 8.75、装液量为100 mL(500 mL三角瓶)、接种量6.25%、接种龄10 h、温度20℃、摇瓶转速205 r/min。实验结果表明:采用优化后的发酵条件,Hrp-菌株的发酵液菌量由最初的3.30×1010个/mL提高至4.42×1010个/mL,增幅为133.9%。     

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.     

响应面法优化重组大肠杆菌产蔗糖异构酶发酵培养基

通过碳氮源的不同浓度对重组大肠杆菌E.coil BL21(DE3)发酵产蔗糖异构酶(SIase)的影响,并借助于数学分析软件Design Expert,结合Plackett-Burman试验设计和中心复合试验设计分析法,对蔗糖异构酶的产生菌进行了发酵培养基的优化研究。实验表明,最佳培养基组分为甘蔗糖蜜10.65 g/L,玉米浆22.22 g/L,NaCl 7.57 g/L ,MgSO₄·7H₂O 0.52 g/L, KH₂PO₄ 4.46g/L,优化后的蔗糖异构酶活力达到29.1U/ml,比LB培养基培养重组大肠杆菌(15U/ml),蔗糖异构酶活力提高了94%,与原始菌大黄欧文菌NX-5相比提高了21.4倍(1.3U/ml)。     

响应面模型分析在发酵产酶条件优化中的应用

<正>微生物蛋白酶是一种重要的工业用酶,其产量占工业酶总产量的40%,广泛应用于食品、纺织、医药、化工、环保等行业。其中高温蛋白酶具有热稳定性强的特点,适合工业化应用中的高温催化过程,具有广阔的应用前景,但仍存在产量较低、成本较高等缺点,如何提高菌株产酶能力一直是微生物高温蛋白酶应用研究中的热点问题。一般而言,高密度细胞培养技术的应用可显著提高产酶菌的酶产量[1],但与常见产酶工程菌株受单一诱     

响应面法对红法夫酵母合成虾青素主要影响因素的优化

在单因素试验确定了红法夫酵母生物合成虾青素培养基组份的基础上,用响应面法对其浓度进行优化。首先用分式析因设计评价了培养基的各组份对虾青素产量的影响,并找出主要影响因子为蔗糖和酵母粉,二者分别达到了极显著和显著水平。用最陡爬坡路径逼近最大响应区域后,运用旋转中心复合设计及响应面分析,确定了主要影响因子的最佳浓度。其中,蔗糖的最佳浓度为49.8g/L,酵母粉的浓度为9.6g/L。菌株在优化培养基中的虾青素产量为9861μg/L,比优化前增加了近1倍。     

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.     

Medium optimization by combination of response surface methodology and desirability function: an application in glutamine production

An optimization strategy based on desirability function approach (DFA) together with response surface methodology (RSM) has been used to optimize production medium in L-glutamine fermentation. Fermentation problems often force to reach a compromise between different experimental variables in order to achieve the most suitable strategy applying in industrial production. The importance of the use of multi-objective optimization methods lies in the ability to cope with this kind of problems. A sequential RSM with different combinations of glucose and (NH₄)₂SO₄ was performed to attain the optimal medium (OM-1) in glutamine production. Based on the result of RSM and the evaluation of production cost, a more economical optimal medium (OM-2) was obtained with the aid of DFA. In DFA study, glutamate, the main by-product in glutamine fermentation as another response was considered. Compared with OM-1 in validated experiment, similar amounts of glutamine were obtained in OM-2 while the concentration of glutamate and the production cost decreased by 53.6 and 7.1%, respectively.     

Optimization of mycophenolic acid production in solid state fermentation using response surface methodology

Mycophenolic acid (MPA) can be produced in solid state fermentation. An isolate of Penicillium brevi-compactum ATCC 16024 grown on moist wheat bran produced a titre of 425 mg per kg of wheat bran. Central composite rotatable design and response surface methodology were employed to derive a statistical model for media optimization towards production of mycophenolic acid. Five levels with a five factorial design were adopted. The correlation coefficient was 0.82, ensuring a satisfactory adjustment of the model to the experimental values. This statistical design was very effective in improving the titre of mycophenolic acid up to 3286 mg per kg of wheat bran. Received 24 July 1998/ Accepted in revised form 4 December 1998     

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％。     

酶法合成2-氧-α-D-葡萄糖基-L-抗坏血酸(AA-2G)条件的研究

采用单因素优化法对环糊精葡萄糖苷转移酶(CGTase)合成糖基抗坏血酸(AA-2G)条件进行优化,AA-2G的产量为2.76 g/L,比未优化前0.46g/L提高了500%。再采用响应面法对AA-2G合成条件进行优化。由Plackett-Burman法筛选出三个主要因素为:pH、V_C和麦芽糊精浓度;由最陡爬坡实验得出最佳响应面区域;最后由Box-Behnken实验,得到最优条件为:pH 5.51,V_C36.16g/L,麦芽糊精28.54 g/L,转化时间24 h,温度37℃。在此条件下,AA-2G的理论产量为3.15 g/L,通过验证实验,得出AA-2G的产量为3.13 g/L,与预测的理论值接近,比单因素优化的结果(2.76g/L)提高了14%。     

响应面法优化海洋放线菌Streptomyces sp. YT-10抗菌物质的发酵条件

以啤酒酵母为指示菌,研究了海洋放线菌YT-10产抗菌物质的发酵条件。利用Plackett-Burman设计对影响YT-10产抗菌物质的因素的效应进行评价,筛选出具有显著效应的三个因素:葡萄糖、黄豆粉和氯化钠。利用响应面中心旋转组合设计优化三个显著因素,确定了葡萄糖,黄豆粉和氯化钠浓度分别为0.7%,1.3%,0.952%。优化后抑菌圈直径可达32.6mm,比原来增加了34.7%。     

响应面法优化福鸽霉素发酵培养基

采用Plackett-Burman设计法,对影响纤维堆囊菌So ceMWXAB-125产生福鸽霉素的9个因素进行了筛选。结果表明,影响该菌产生福鸽霉素的主要营养因素为马铃薯淀粉、CaCl2和脱脂奶粉。在此基础上,采用响应面法对其中3个显著因子的最佳水平范围进行研究,利用Design-Expert软件进行二次回归分析得知,马铃薯淀粉、CaCl2和脱脂奶粉的质量浓度分别为8.05、2.72和10.00 g/L时,福鸽霉素的产量从67 mg/L提高到119.98 mg/L。