Optimization of fermentation medium for amidase production by response surface methodology

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.运用单因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Ca2+、Mn2+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18.84 g/L、酵母浸膏9.55 g/L、NaCl 5g/L、KH2 PO41g/L、MgSO4·7H2O 0.2 g/L、FeSO40.001g/L、CaCO370.84 μmol/L、MnSO4 65.39 μmol/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4156 U/L,为原始发酵培养基配方酶活产量的1.63倍.     

响应面分析优化产木聚糖酶毕赤酵母基因工程菌培养条件

研究不同碳源、氮源和无机盐对毕赤酵母AX181菌株产木聚糖酶的影响。实验表明,分别采用葡萄糖和玉米浆干粉为碳源和氮源可以明显提高木聚糖酶的产量。无机盐单因子优化实验显示添加适量的（NH4）2SO4、KH2PO4、MnSO4·H2O、FeSO4·7H2O也可以部分提高木聚糖酶产量。在此基础上利用响应面法优化毕赤酵母产木聚糖酶培养基,利用12次实验的Plackett—Burman设计实验筛选出影响产木聚糖酶的3个主要因素,即玉米浆干粉、MnSO4·H2O和FeSO4·7H20。并进一步通过最陡爬坡路径逼近最大响应区域,采用中心组合实验设计确定最佳条件。优化后的产木聚糖酶培养基组分为（g/L）：葡萄糖40．00,玉米浆干粉80．84,（NH4）2SO46．25,KH2PO41．25、MnSO4·H2O0．35,FeS04-7H2O1．31。培养基优化后,实际产酶2883．86u／mL,是优化前YPD培养基产酶的2．51倍。     

响应面法优化革耳Panus rudis FG-35菌株产漆酶培养基

采用Plackett-Burman设计和响应面分析相结合的方法,对革耳Panus rudis FG-35菌株产漆酶的液体培养基配方进行优化。单因素试验结果显示,发酵培养基中的最优碳源为可溶性淀粉,最优氮源为蛋白胨;Plackett-Burman设计筛选出影响漆酶产量的3个重要因素为可溶性淀粉、金属Ca2+离子和吐温-40,在此基础上运用最陡爬坡试验逼近最大响应值区域,最后利用Box-Behnken试验设计及响应面分析法进行回归分析,获得最佳培养基配方为:可溶性淀粉10.040 4 g/L、蛋白胨0.2 g/L、K2HPO41.00g/L、ZnSO4·7H2O 0.008 g/L、MgSO4·7H2O 0.5 g/L、CuSO4·7H2O 0.007 g/L、FeSO4·7H2O 0.005 g/L、MnSO40.035 g/L、CaCl20.0816 g/L、VB10.1 g/L、吐温-40 0.428%。在优化后的条件下摇瓶发酵产漆酶酶活力为263.31 U/mL,与模型预测值接近,发酵产酶量比优化前提高1.07倍,同时优化后的发酵液对木质素降解进行试验发现,优化后漆酶对木质素降解率提高了14.34%。     

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。     

Response surface optimization of fermentation conditions for xylanase production by recombinant Pichia pastoris

研究不同碳源、氮源和无机盐对毕赤酵母AX181菌株产木聚糖酶的影响.实验表明,分别采用葡萄糖和玉米浆干粉为碳源和氮源可以明显提高木聚糖酶的产量.无机盐单因子优化实验显示添加适量的(NH4)2SO4、KH2 PO4、MnSO4·H2O、FeSO4·7H2O也可以部分提高木聚糖酶产量.在此基础上利用响应面法优化毕赤酵母产木聚糖酶培养基,利用12次实验的Plackett - Burman设计实验筛选出影响产木聚糖酶的3个主要因素,即玉米浆干粉、MrSO4 ·H2O和FeSO4·7H2O.并进一步通过最陡爬坡路径逼近最大响应区域,采用中心组合实验设计确定最佳条件.优化后的产木聚糖酶培养基组分为(g/L):葡萄糖40.00,玉米浆干粉80.84,(NH4)2SO4 6.25,KH2PO4 1.25、MnSO4·H2O 0.35,FeSO4 ·7H2O 1.31.培养基优化后,实际产酶2 883.86 U/mL,是优化前YPD培养基产酶的2.51倍.     

少根根霉菌株发酵生产纤溶酶条件的研究

发酵条件优化可提高少根根霉菌株8B所产纤溶酶的活性。使用单因素试验和正交试验确定该茵发酵产酶的最佳条件。试验确定最优化发酵条件,培养基：麸皮水5g／L,尿素5g／L,胰蛋白胨0．5g／L,K2HPO4·3H2O 0．3g／L,MgSO4·7H2O 0.15g／L,pH5.5,摇床转速160r／min,30℃发酵56h。在此优化条件下培养,8B产纤溶酶活力达到345．41U／mL,是初始培养基发酵产酶活力的7．52倍。     

木霉LaTr 01菌株产漆酶发酵的条件

从华南地区采集土样,采用愈创木酚平板筛选产漆酶菌株,获得了一株短周期产漆酶的小型丝状真菌。通过观察菌落特征、生长情况以及显微镜下菌丝和孢子的形态,初步鉴定该菌株为木霉属的一个种（Trichodermaspp、）,命名为木霉LaTr01菌株。通过单因素方法研究该菌产漆酶的发酵条件,结果表明：LaTr01的产酶培养基以麦芽糖为最佳碳源;以酵母提取物为最适氮源;培养24h后加入Cu“比培养开始加入Cu ^2＋LaTr01产酶活高出约1倍。采用麦芽糖、酵母提取物、Cu^2＋浓度L9（3^3）的正交试验优化漆酶发酵条件,结果表明,氮源是影响该菌产漆酶的最重要因素,碳源次之,Cu^＋浓度影响较小;LaTr01菌株产生漆酶的最佳条件为：5g／L酵母提取物、20g/L麦芽糖、1．5mmol／LCu^2＋,Cu^2＋加入时间为培养24h后。在优化的培养条件下,该菌酶活可达480．556U／L。     

黑曲霉固态发酵生产单宁酶的条件优化

研究采用响应面法优化黑曲霉固态发酵生产单宁酶的培养条件。应用Plackett—Burman试验筛选出重要影响因子：五倍子粉含量、（NH4）2SO4浓度以及接种孢子量,最陡爬坡试验逼近最大响应区域。应用Box．Behnken响应面试验对重要影响因子进一步优化。得到最佳培养条件：每250mL三角瓶中装入1．0g五倍子粉、4．4g稻壳和0．5g麸皮、液固比（mL／g）2：1且营养盐溶液组成为（NH4）2s0421g/L、MgSO4·7H2O1g／L、NaCl1g／L,培养基pH自然,接种5．7×10^7个孢子后在30℃温度下培养4d。在此条件下,单宁酶产量从40U／g提高到114U／g,3次重复验证性试验平均值为115U／g,验证了模型的可靠性。     

假单胞菌属No.2120生产D-甘露糖异构酶发酵培养基的优化

通过单因子实验、Plackett-Burman实验设计、响应面分析法对假单胞菌属No.2120产D-甘露糖异构酶的培养基进行优化,确定发酵优化条件:果糖15.26 g/L,牛肉膏20 g/L,酵母膏2 g/L,K2HPO42 g/L,MgSO4.7H2O0.5 g/L,NaCl 0.5 g/L,Tween-80 1.54 g/L。采用优化配方异构酶比酶活可以达到68.28 U/mL。     

红曲菌利用生物柴油废液生产红曲色素

对生物柴油废液作简单处理,利用红曲茵发酵生物柴油废液中副产物甘油生产红曲色素。通过响应面方法确定最佳发酵培养基为：甘油48．49g/L,蛋白胨3．12g／L,K2HPO4·3H202．01g/L,MgSO4 0．48g／L,ZnSO4·7H2O 0．04g／L,MnSO4·H2O 0．03g／L,玉米浆13mL／L,植物油10mL／L,起始pH为6。发酵结果表明：在接种量6％（v／v）,转速140r／min,35℃的条件下发酵培养6d,红曲色素最高产量到达204U／mL。说明用生物柴油废液中的粗甘油为原料生产红曲色素是基本可行的。可望为生物柴油废液的资源化提供一条环境友好型的途径。     

Isolation,screening, and selection of an L-glutaminase producer from soil and media optimization using a statistical approach

A culture isolated from garden soil was found to be a promising L-glutaminase producer. Biochemical identification tests and 16S rRNA sequencing identified this isolate to be Klebsiella oxytoca. Subsequently, media optimization using one-factor-at-a-time approach and response surface methodology was undertaken. A face centered central composite design was employed to investigate the interactive effects of four variables, viz. concentrations of maltose, yeast extract, beef extract, and ammonium acetate on glutaminase production. Almost all factors had significant interactive effects on glutaminase production. A medium containing (g/L): maltose, 23.31; yeast extract, 20.0; beef extract, 20.01; ammonium acetate, 10.0; mannitol, 10.0; KH₂PO₄, 0.4; Na₂SO₄, 0.4; and MgCl₂, 0.4 was optimum for glutaminase production. The applied methodology was validated using this optimized media and enzyme activity of 458.91 ± 9.49 U/L and specific activity of 0.441 ± 0.04 U/mg protein after 42 h of incubation at 33°C were obtained.     

翅鳞伞深层发酵胞外多糖优化研究

采用PlackettBurman设计(PlackettBurman Design, PB)对影响翅鳞伞［ Pholiota squarrosa (Pers. Ex Fr.) Quel.］ AS 5245菌株发酵产糖的内在和外在相关因素进行了筛选,所选取的20个相关因素为葡萄糖、果糖、麦芽糖、酵母膏、胰蛋白胨、KH₂PO₄、K₂HPO₄、(NH₄)₂SO₄、NaNO₃、FeSO₄、MgSO₄、MnCl₂、ZnCl₂、FeCl₃、CuSO₄·5H₂O、维生素B1、起始pH、发酵温度、时间和装液量。在此基础上,再采用响应曲面法(Response Surface Methodology,RSM)对影响发酵产糖的内在关键影响因素酵母膏、果糖、MgSO₄、麦芽糖、ZnCl₂和发酵基质起始pH值的最佳水平范围作了进一步的研究与探讨,通过对二次多项回归方程求解得知,在上述自变量分别为6.0g/L、11.5g/L、0.5g/L、9.6g/L、38.6mg/L和5.3时,胞外多糖最大预测值为876.32μg/mL发酵醪,此预测可信度不仅被统计分析所验证,也实践所证实。     

极地适冷菌Pseudoalteromonas sp. QI-1产适冷蛋白酶发酵条件的优化

对极地适冷菌Pseudoalteromonas sp. QI-1产适冷蛋白酶的发酵条件进行优化。结果表明:菌株QI-1的最适生长和产酶温度均为5℃;最佳接种量为1%;发酵培养基的最适初始pH和最佳装样量分别为5和10%;盐度为2%时对菌株的生长和产酶最为有利;麸皮和醋酸钠分别为最佳N源和C源;添加0.75%酪蛋白时菌株QI-1胞外蛋白酶的活性最高;10 mmol/L Mg2+和0.5%Tween-80有利于产酶。正交试验结果表明:菌株Pseudoalteromonassp. QI-1产蛋白酶较佳培养基配方(g/L)为麸皮5,酵母粉2.5,酪蛋白3,MgCl2.6H2O 3,KCl 1.5;发酵液比酶活为166.20 U/mL,较优化前提高了约56%。     

Enhanced production of amidase from <Emphasis Type="Italic">Rhodococcus erythropolis</Emphasis> MTCC 1526 by medium optimisation using a statistical experimental design

In the present work, statistical experimental methodology was used to enhance the production of amidase from Rhodococcus erythropolis MTCC 1526. R. erythropolis MTCC 1526 was selected through screening of seven strains of Rhodococcus species. The Placket–Burman screening experiments suggested that sorbitol as carbon source, yeast extract and meat peptone as nitrogen sources, and acetamide as amidase inducer are the most influential media components. The concentrations of these four media components were optimised using a face-centred design of response surface methodology (RSM). The optimum medium composition for amidase production was found to contain sorbitol (5 g/L), yeast extract (4 g/L), meat peptone (2.5 g/L), and acetamide (12.25 mM). Amidase activities before and after optimisation were 157.85 units/g dry cells and 1,086.57 units/g dry cells, respectively. Thus, use of RSM increased production of amidase from R. erythropolis MTCC 1526 by 6.88-fold.     

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%.     

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.     

Optimization of bio-hydrogen production from biodiesel wastes by Klebsiella pneumoniae

Biodiesel wastes containing glycerol were utilized by Klebsiella pneumoniae DSM 2026 to produce hydrogen. The optimization of medium components was performed using both Plackett-Burman and uniform design methods. Using the Plackett-Burman design, glycerol, yeast extract, NH(4)Cl, KCl and CaCl2 were found to be the most important components, which were further investigated by uniform design and second-order polynomial stepwise regression analysis. The optimized medium containing 20.4 g.L(-1) glycerol, 5.7 g.L(-1) KCl, 13.8 g.L(-1) NH(4)Cl, 1.5 g.L(-1) CaCl(2) and 3.0 g.L(-1) yeast extract resulted in 5.0-fold increased level of hydrogen (57.6 mL/50 mL medium) production compared to initial level (11.6 mL/50 mL medium) after 24 h of fermentation The optimization of fermentation condition (pH, temperature and inoculum) was also conducted. When the strain grew in the optimized medium under optimal fermentation condition in a 5-L stirred tank bioreactor for batch production, hydrogen yield and production reached 0.53 mol/mol and 117.8 mmol/L, respectively. The maximum hydrogen evolution rate was 17.8 mmol/(L.h). Furthermore, 1,3-propanediol (6.7 g.L(-1)) was also obtained from the liquid medium as a by-product.     

响应面法优化毛霉菌发酵培养基

采用响应面分析方法优化毛霉菌B的发酵培养基,首先通过单因素试验筛选出葡萄糖为最适碳源,酵母膏和玉米浆为最适氮源,用Plackett—Burman试验对葡萄糖、酵母膏、玉米浆、MgSO4、FeSO4、NILCl/、HPO4进行评估并筛选出具有显著效应的3个因素：葡萄糖、酵母膏、玉米浆,再通过最陡爬坡试验逼近其最大响应区域,最后采用Box—Behnken试验对其用量进行优化,得到毛霉菌最佳发酵培养基（g/L）：葡萄糖51．54,酵母膏5．22,玉米浆14．31,MgSO40．5,FeSO40．1,NH4Cl3,k2HPO43,pH6．0～6．5。培养基优化后,毛霉生物量由23．51g／L提高至31．13g/L,比对照组提高32．41％,腺嘌呤转化率由53．59％提高至59．97％,ATP产率由6．56g／L提高至7．34g／L,比对照组提高11．89％。     

植物乳杆菌ZJ316生产细菌素

[目的]研究植物乳杆菌ZJ316生长和产细菌素的最佳培养基成分和发酵条件,以提高该菌产plantaricin ZJ316的能力.[方法]改变培养基成份和发酵条件,考察不同氮源、碳源等培养基成分和不同的发酵温度等条件对ZJ316生长和产细菌素的影响.[结果]最佳培养基为MRS培养基;优化后的培养基配方为葡萄糖10 g/L,麦芽糖10 g/L,酵母提取物10 g/L,蛋白胨10 g/L,柠檬酸三铵2 g/L,吐温80为1 Ml/L,K2HPO4·3H2O 6 g/L,乙酸钠5 g/L,硫酸镁0.2 g/L,硫酸锰0.05 g/L.培养基初始Ph6.5,30℃静置培养24 h.[结论]通过培养基成分和发酵条件的优化,细菌素产量提高了2.3倍,为进一步研究和规模化生产奠定基础.