丛梗孢酵母发酵产赤藓糖醇的响应面优化

为了提高丛梗孢酵母发酵产赤藓糖醇的产量,在前期单因素实验结果的基础上,利用Plackett-Burman实验设计对影响其产赤藓糖醇的发酵条件进行评估并筛选出了影响显著的3个因素:葡萄糖、初始pH和温度.采用响应面法进行实验方案设计,利用SAS软件对其结果进行二次回归分析,确定了优化后的发酵条件为:葡萄糖260g/L、酵...     

响应面法优化黑曲霉产果胶酶培养基中无机盐成分的研究

利用SAS软件中的二水平设计和响应面分析方法较系统地研究了发酵培养基中无机盐组分对黑曲霉(Aspergillus niger)JW-1菌株产果胶酶的影响.得到了在一定条件下果胶酶随无机盐组分的变化规律,并根据分析结果优化了产酶培养基.最终确定KH_2PO_4,FeSO_4·7H_2O,CaCl_2·2H_2O的最优浓度分别为0.85mg/mL,1.86mg/mL和2.52mg/mL,此时果胶酶活力可达5054.6U·g~(-1),为该菌株今后的研究和应用奠定了基础.     

南极交替单胞菌R11-5产卡拉胶酶的发酵条件优化

【背景】极地寒冷环境中发现了大量具有潜在应用前景的冷适应酶,同时也存在种类繁多的海藻多糖降解菌,因此极端环境微生物是筛选获得新颖、高效多糖降解酶的重要新源泉。由于筛选培养基通常并非野生菌发酵产酶的最优条件,为了使野生菌的产酶效率达到最高,需要对其培养条件进行优化,从而为其深入研究及开发利用提供依据。【目的】对一株产卡拉胶酶的南极菌株进行种属鉴定,并采用响应面法对该菌的发酵产酶条件进行优化。【方法】通过16SrRNA基因对产卡拉胶酶的南极菌株进行种属鉴定,采用响应面法优化南极菌株产酶发酵条件。【结果】该南极菌属于交替单胞菌属(Alteromonas),命名为交替单胞菌R11-5。发酵条件优化结果显示,7个环境因子影响交替单胞菌R11-5的产酶量。利用Design-Expert软件中的Plackett-Burman设计实验,筛选出影响交替单胞菌R11-5产酶量的4个主要因素分别为培养温度、牛肉膏浓度、卡拉胶浓度和Ca~(2+)浓度。通过Box-Behnken设计和响应面分析得到交替单胞菌R11-5最佳产酶发酵条件为:温度15.0°C,牛肉膏浓度11.0 g/L,卡拉胶浓度3.0 g/L,Ca~(2+)浓度5.0 mmol/L。优化后发酵上清液酶产量达到87.193 U/mL,与优化前相比提高了1.8倍。【结论】响应面法提高了南极交替单胞菌R11-5卡拉胶酶的产量,为其开发应用提供了科学依据。     

Improved phytase production by a thermophilic mould Sporotrichum thermophile in submerged fermentation due to statistical optimization

Culture variables affecting phytase production by a thermophilic mould Sporotrichum thermophile in submerged fermentation were optimized. Soluble starch, peptone, Tween-80 and sodium phytate were identified by Plackett-Burman design as the most significant factors to affect phytase production. The 2(4) full factorial central composite design of response surface methodology was applied for optimizing the concentrations of the significant variables and to delineate their interactions. Starch, Tween-80, peptone and sodium phytate at 0.4%, 1.0%, 0.3% and 0.3% supported maximum enzyme titres, respectively. An overall 3.73-fold improvement in phytase production was achieved due to optimization. When sodium phytate was substituted with wheat bran (3%), the phytase titre in the former was comparable with that in the latter.     

Galactomyces geotrichum Y25产脂肪酶条件的优化

应用响应面法对Galactomyces geotrichumY25液体发酵产脂肪酶的条件进行了优化。首先采用Plackett-Burman设计对影响产酶因素的效应进行评价,筛选出黄豆粉、玉米浆和发酵时间3个对产酶影响显著的因素。用最陡爬坡路径逼近最大产酶区域后,利用响应面设计对显著因素进行优化,得出黄豆粉、玉米浆最佳质量分数分别为2.51%、2.12%,最佳发酵时间101.95 h。优化后液体发酵液中脂肪酶活力提高到34.65 U/mL,比初始酶活力9.6 U/mL提高了3.61倍。表明响应面法可显著优化Galactomyces geotrichumY25液体发酵产脂肪酶条件。     

Acid phosphatase production by recombinant <Emphasis Type="Italic">Arxula adeninivorans</Emphasis>

Acid phosphatase production by recombinant Arxula adeninivorans was carried out in submerged fermentation. Using the Plackett–Burman design, three fermentation variables (pH, sucrose concentration, and peptone concentration) were identified to significantly affect acid phosphatase and biomass production, and these were optimized using response surface methodology of central composite design. The highest enzyme yields were attained in the medium with 3.9% sucrose and 1.6% peptone at pH 3.8. Because of optimization, 3.86- and 4.19-fold enhancement in enzyme production was achieved in shake flasks (17,054 U g⁻¹ DYB) and laboratory fermenter (18,465 U g⁻¹ DYB), respectively.     

响应面法优化枯草芽孢杆菌产脂肪酶的合成培养基

对枯草芽孢杆菌(Bacillus subtilis)CICC20034利用合成培养基液体发酵产脂肪酶的条件进行了优化。首先采用单因子实验筛选出最适诱导剂为三丁酸甘油酯,氮源为尿素,碳源为葡萄糖,无机盐为MgSO4。在此基础上,利用Plackett-Burman设计对影响产酶因素的效应进行评价,筛选出具有显著效应的三丁酸甘油酯、尿素、KH2PO4和培养基起始pH值4个最显著的因素。用最陡爬坡路径逼近最大产酶区域后,利用响应面中心组合设计对显著因素进行优化,获得最适合成培养基组分为:葡萄糖8g/L,尿素8.57g/L,三丁酸甘油酯2.62%,KH2PO42.59g/L,MgSO4.7H2O0.5g/L,TritonX-1000.5g/L,pH9.47。优化后的B.subtilis CICC 20034胞外脂肪酶活力达0.483U/ml,比初始酶活力0.072U/ml提高了6.7倍。     

响应面法优化类芽胞杆菌HB172198产褐藻胶裂解酶发酵培养基

为了提高类芽胞杆菌新种HB172198产褐藻胶裂解酶活力,本研究采用响应面法对该菌株液体发酵培养基进行了优化实验。在单因素实验和Plackett-Burman试验筛选出海藻酸钠、胰蛋白胨、NaCl、MgSO4·7H2O等4个显著影响产酶因素的基础上,通过Box-Behnken设计及响应面法进行回归分析,得出产褐藻胶裂解酶最佳发酵培养基,其成分为:海藻酸钠7.50 g/L、胰蛋白胨13.57 g/L、NaCl 29.75 g/L、MgSO4·7H2O 0.08 g/L。优化条件下该菌株最大酶活性达14.60 U/mL,是优化前的1.87倍。本研究为菌株HB172198产褐藻胶裂解酶的大规模生产和工业应用提供了重要的理论依据。     

Screening and optimization of nutritional factors for higher dextransucrase production by Leuconostocmesenteroides NRRL B-640 using statistical approach

To improve dextransucrase production from Leuconostocmesenteroides NRRL B-640 culture medium was screened and optimized using the statistical design techniques of Plackett-Burman and response surface methodology (RSM). Plackett-Burman design with six variables viz. sucrose, yeast extract, K2HPO4, peptone, beef extract and Tween 80 was performed to screen the nutrients that were significantly affecting dextransucrase production. The variables sucrose, K2HPO4, yeast extract and beef extract showed above 90% confidence levels for dextransucrase production and were considered as significant factors for optimization using response surface methodology. 2(4)-central composite design was used for RSM optimization. The experimental results were fitted to a second-order polynomial model which gave a coefficient of determination R2=0.95. The optimized composition of 30g/l sucrose, 18.9g/l yeast extract, 19.4g/l K2HPO4 and 15g/l beef extract gave an experimental value of dextransucrase activity of 10.7U/ml which corresponded well with the predicted value of 10.9U/ml by the model.     

响应面方法优化菊粉酶液体发酵培养基的研究

目的：为提高菊粉酶的产量。方法：运用Plackett-Burman设计法和响应面分析法,对Kluyveromyces S120液体发酵生产菊粉酶的培养基进行了优化。首先通过Plackett-Burman方法对8个相关影响因素的效应进行评价,并筛选出了有显著正效应的菊芋粉、玉米浆、(NH_4)H_2PO_4等三个因素,其他五个因素没有显著影响。然后根据Box-Behnken的中心组合设计实验和响应面分析方法确定了上述三个主要影响因素的最佳浓度。结果：在优化培养基下,菊粉酶产量为102．82u/mL,是优化前的2．1倍。     

Optimization of medium composition for lipase production by Candida rugosa NCIM 3462 using response surface methodology

A sequential optimization approach using statistical design of experiments was employed to enhance the lipase production by Candida rugosa in submerged batch fermentation. Twelve medium components were evaluated initially using the Plackett-Burman 2-level factorial design. The significant variables affecting lipase production were found to be glucose, olive oil, peptone, (NH4)2SO4, and FeCl3.6H2O. Various vegetable oils were tested in the second step, and among them, groundnut oil was found to be the best inducer for lipase production by C. rugosa. The third step was to identify the optimal values of the significant medium components with groundnut oil as the inducer using response surface methodology. The regression equation obtained from the experimental data designed using a central composite design was solved, and analyzing the response surface contour plots, the optimal concentrations of the significant variables were determined. A maximum lipase activity of 5.95 U.mL-1, which is 1.64 times the maximum activity obtained in the Plackett-Burman experimental trials, was observed. The optimum combination of medium constituents contained 19.604 g.L-1 glucose, 13.065 mL.L-1 groundnut oil, 7.473 g.L-1 peptone, 0.962 g.L-1 (NH4)2SO4, 0.0019 g.L-1 FeCl3.6H2O, and other insignificant components at the fixed level. A predictive model of the combined effects of the independent variables using response surface methodology and an artificial neural network was proposed. The unstructured kinetic models, logistic model, and Luedeking-Piret model were used to describe cell mass and lipase production. The parameters of the models were evaluated and the lipase production by C. rugosa was found to be growth associated.     

响应面法优化Burkholderiasp．SYBCLIP—Y发酵产低温脂肪酶条件的研究

用响应面法对Burkholderiasp．SYBCLIP—Y液体发酵产低温脂肪酶的发酵条件进行了快速优化。首先利用Plackett—Burman设计对影响其产酶相关因素进行评估并筛选出具有显著效应的三个因素：牛肉膏,橄榄油,TritonX-100;用最陡爬坡路径逼近最大产酶区域后,利用响应面中心组合设计对显著因素进行优化,确定出牛肉膏,橄榄油,TritonX-100的最佳浓度分别为：牛肉膏31．8g／L、橄榄油21mL／L、TritonX-10036．55mL／L,优化后脂肪酶的酶活达到61．52U／mL,是优化前的2．62倍。     

Augmented cellulase production by Bacillus subtilis strain MU S1 using different statistical experimental designs

The production of cellulase by Bacillus subtilis MU S1, a strain isolated from Eravikulam National Park, was optimized using one-factor-at-a-time (OFAT) and statistical methods. Physical parameters like incubation temperature and agitation speed were optimized using OFAT and found to be 40?°C and 150?rpm, respectively, whereas, medium was optimized by statistical tools. Plackett-Burman design (PBD) was employed to screen the significant variables that highly influence cellulase production. The design showed carboxymethyl cellulose (CMC), yeast extract, NaCl, pH, MgSO₄ and NaNO₃ as the most significant components that affect cellulase production. Among these CMC, yeast extract, NaCl and pH showed positive effect whereas MgSO₄ and NaNO₃ were found to be significant at their lower levels. The optimum levels of the components that positively affect enzyme production were determined using response surface methodology (RSM) based on central composite design (CCD). Three factors namely CMC, yeast extract and NaCl were studied at five levels whilst pH of the medium was kept constant at 7. The optimal levels of the components were CMC (13.46?g/l), yeast extract (8.38?g/l) and NaCl (6.31?g/l) at pH 7. The maximum cellulase activity in optimized medium was 566.66?U/ml which was close to the predicted activity of 541.05?U/ml. Optimization of physical parameters and medium components showed an overall 3.2-fold increase in activity compared to unoptimized condition (179.06?U/ml).     

Optimization of alkaline protease production by batch culture of Bacillus sp. RKY3 through Plackett-Burman and response surface methodological approaches

The proteolytic enzymes are the most important group of commercially produced enzymes. The production of alkaline protease was optimized using a newly isolated Bacillus sp. RKY3. The fermentation variables were selected in accordance with the Plackett-Burman design and were further optimized via response surface methodological approach. Four significant variables (corn starch, yeast extract, corn steep liquor, and inoculum size) were selected for the optimization studies. The statistical model was constructed via central composite design (CCD) using three screened variables (corn starch, corn steep liquor, and inoculum size). An overall 2.3-fold increase in protease production was achieved in the optimized medium as compared with the unoptimized basal medium. Enzyme activity increased significantly with optimized medium (939 u ml(-1)) when compared with unoptimized medium (417 u ml(-1)).     

产γ-谷氨基甲酰胺合成酶菌株的筛选及产酶条件研究

以假单胞菌(Pseudomonas sp.)为出发菌株,通过紫外诱变筛选得到一株γ-谷氨基甲酰胺合成酶高产菌株UV-19,其酶活提高32.54%。以突变株UV-19为供试菌株,对γ-谷氨基甲酰胺合成酶的发酵条件进行优化。首先利用Plackett-Burman设计筛选出影响较大的4个因素:葡萄糖、蛋白胨、起始pH值、装液量。在此基础上再利用CCD响应面分析法进行优化,得到最佳产酶培养条件为(g/L):葡萄糖15、蛋白胨12、NaCl 5.0、MgSO4.7H2O 0.2、K2HPO4.3H2O 0.5、甲胺盐酸盐1.0g/L、起始pH值6.5、装液量72mL/250mL。该优化条件下进行产酶培养,假单胞菌发酵产γ-谷氨基甲酰胺合成酶酶活力可达32.68U/mL。     

细菌纤维素发酵培养基的优化及超微观结构分析

为了提高细菌纤维素的产量, 本研究对一株氧化葡糖杆菌菌株J2液体发酵生产细菌纤维素的培养基进行了优化, 并对其代谢的细菌纤维的超微观结构进行了观察。运用Plackett-Burman试验设计法对8个相关影响因素的效应进行了评价, 筛选出了有显著效应的3个因素: 酵母膏、ZnSO4、无水乙醇, 其他5个因素的影响未达到显著水平(P>0.05)。然后采用Box-Behnken的中心组合试验设计和响应面分析方法(RSM)确定了上述三个因素的最佳浓度, 并且以棉纤维为对照, 运用扫描电镜观察了细菌纤维素的超微观结构, 结果表明: 菌株J2利用优化后的发酵培养基生产细菌纤维素的产量为11.52 g/100 mL, 是优化前的1.35倍, 电镜照片显示细菌纤维素微纤维丝直径<0.1 mm, 比棉纤维细很多, NaOH处理可以除去纤维网络结构中的菌体。     

细菌纤维素发酵培养基的优化及超微观结构分析

为了提高细菌纤维素的产量, 本研究对一株氧化葡糖杆菌菌株J2液体发酵生产细菌纤维素的培养基进行了优化, 并对其代谢的细菌纤维的超微观结构进行了观察。运用Plackett-Burman试验设计法对8个相关影响因素的效应进行了评价, 筛选出了有显著效应的3个因素: 酵母膏、ZnSO4、无水乙醇, 其他5个因素的影响未达到显著水平(P>0.05)。然后采用Box-Behnken的中心组合试验设计和响应面分析方法(RSM)确定了上述三个因素的最佳浓度, 并且以棉纤维为对照, 运用扫描电镜观察了细菌纤维素的超微观结构, 结果表明: 菌株J2利用优化后的发酵培养基生产细菌纤维素的产量为11.52 g/100 mL, 是优化前的1.35倍, 电镜照片显示细菌纤维素微纤维丝直径<0.1 mm, 比棉纤维细很多, NaOH处理可以除去纤维网络结构中的菌体。     

常压室温等离子体诱变选育L-精氨酸生产菌及发酵条件优化

【目的】通过常压室温等离子体诱变技术选育L-精氨酸高产菌株,利用响应面设计探索突变菌株生产L-精氨酸的最佳发酵条件。【方法】采用常压室温等离子体生物诱变系统对实验室保藏的Corynebacterium glutamicum GUI089进行系列诱变,选育L-高精氨酸和8-氮鸟嘌呤抗性菌株。在单因子实验的基础上,应用Plackett-Burman设计从7个因素中筛选出对L-精氨酸合成具有显著效应的(NH4)2SO4、葡萄糖和尿素3个因素。基于上述结果,进一步采用响应面设计优化出主要影响因素的最佳参数水平。【结果】经过一系列的诱变和筛选,选育出一株L-高精氨酸(15 g/L)和8-氮鸟嘌呤(0.7 g/L)抗性菌株,并将此菌株命名为C.glutamicum ARG 3-16。此菌株的L-精氨酸产量比出发菌株提高了49.79%,且发酵液中杂酸的浓度明显降低,特别是L-脯氨酸、L-谷氨酸和L-缬氨酸。在经响应面优化后的最佳发酵条件下,L-精氨酸的产量达到39.72±0.75 g/L,比优化前提高了10.49%。【结论】通过常压室温等离子体诱变技术成功选育出一株L-精氨酸高产菌株,利用响应面法有效地优化了发酵条件,实验结果表明突变株ARG 3-16具有潜在的生产应用价值。     

An alternative approach to the fermentation of sweet sorghum juice into biopolymer of poly-β-hydroxyalkanoates (PHAs) by newly isolated, Bacillus aryabhattai PKV01

This work revealed for the first time the possible use of a newly isolated Bacillus aryabhattai PKV01 for poly-β-hydroxyalkanoates (PHAs) production from fermentative sweet sorghum juice. Its growth and PHA production were investigated under different pH and nitrogen sources. Medium composition was optimized using statistical tools. The highest biomass and PHA content were reached at pH 6.5 with the use of urea. Plackett-Burman design was then applied to test the relative importance of medium components and process variables on cell growth and PHA production. Cell growth and PHAs production were affected by total sugar and urea and were subjected to optimize the sorghum juice medium using response surface methodology (RSM) via central composite design (CCD). The predicted optimal culture composition was achieved. Maximum dry cell weight and PHAs were obtained using a flask and almost double the amount was achieved using a bioreactor. After PHA recovery, the structure and thermal properties were characterised and revealed to be similar to the standard of poly-β-hydroxybutyrate (PHB).     

Optimization of culture variables for improving glucoamylase production by alginate-entrapped Thermomucor indicae-seudaticae using statistical methods

Alginate-entrapped sporangiospores of Thermomucor indicae-seudaticae were used for the production of glucoamylase. The critical variables that affected glucoamylase production were identified by Plackett-Burman design (sucrose, yeast-extract, K(2)HPO(4) and asparagine) and further optimized by using a four factor central composite design (CCD) of response surface methodology (RSM). Immobilized sporangiospores secreted 41% and 60% higher glucoamylase titers in shake flasks and airlift fermenter, respectively, when the variables were used at their optimum levels (sucrose 3.0%, yeast-extract 0.2%, K(2)HPO(4) 0.1% and asparagine 0.35%). Glucoamylase production (26.3 U ml(-1)) in the optimized medium was in good agreement with the values predicted by the quadratic model (26.7 U ml(-1)), thereby confirming its validity. The enzyme production was sustainable in flasks of higher volume and also airlift fermenter, and attained a peak within 32 h in the fermenter as compared to that of 48 h in shake flasks.