Predicting vegetative inoculum performance to maximize phytase production in solid-state fermentation using response surface methodology

Microbial phytase is used to reduce the environmental loading of phosphorus from animal production facilities. The limiting factors in the use of this enzyme in animal feeds can be overcome by solid-state fermentation (SSF), which is a promising technology for commercial enzyme production with lower production costs. Inoculum quality and the influence of inoculum quality on phytase production are important factors which need in-depth investigation before scaling-up of high-yielding fermentation process. A full factorial experimental design for 240 h with sampling at every 24 h was used to determine the effects of the treatments, inoculum age (plate and liquid culture), media composition and the duration of SSF on the production of fungal biomass and phytase in SSF systems using Aspergillus niger. The optimal treatment combination for maximal phytase production was determined by statistically comparing all treatments at each sampling time. Both 7- and 14-day plate cultures and M1+ medium composition with 72-h-old liquid inoculum treatments resulted in optimal phytase production at 144 h of SSF, which was the shortest duration observed for maximal phytase production. This resulted in maximal phytase production with a mean of 884±121 U/g substrate, while the maximal phytase production observed at 216 h of SSF (mean phytase activity of 1008±121 U/g substrate), with the same treatment combinations, was not statistically significant from that at 144 h of SSF. Phytase production was strongly growth-associated with younger inocula. The significant treatment variables, age of liquid inoculum and the duration of SSF, were used to predict the system response for phytase production using response surface methodology. From the response surface model, the optimal response of the experiment was predicted and the reliability of the prediction was checked with the verification experiment. Journal of Industrial Microbiology & Biotechnology (2001) 26, 161–170. Received 06 June 2000/ Accepted in revised form 14 October 2000     

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％。     

响应面法优化多杀菌素发酵培养基的研究

采用响应面分析方法,对刺糖多孢茵（Saccharopolyspora spinosa）H-2产多杀菌素的发酵培养基进行优化研究。运用单因子试验筛选出葡萄糖和棉籽粉为最适碳源和氮源,通过Plack—ett—Burman设计试验,对影响发酵培养基的8个相关因子进行评估并筛选出具有显著效应的4个因子：葡萄糖、棉籽粉、黄豆饼粉及玉米浆。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,确定发酵产多杀菌素最佳培养基为葡萄糖64．5g,麦芽糖20g,玉米浆2g,大豆油40g,棉籽粉25g,黄豆饼粉2．4g,蛋白胨25g,CaCO35g,定容至1L,pH7．0。培养基优化后多杀菌素产量由278．1mg／L提高到508．7mg／L,比初始多杀茵素产量提高了1．83倍。     

Response surface methodology for optimizing the fermentation medium of Clostridium butyricum

AIMS: Strains of Clostridium butyricum have been increasingly used as probiotics for both animals and humans. The aim of this study was to develop a growth medium for cultivating C. butyricum ZJUCB using a statistical methodology. METHODS AND RESULTS: Response surface methodology (RSM) was used to evaluate the effects of variables, namely the concentrations of the glucose, pectin, soyabean cake extract, casein, corn steep flour, ammonium sulphate, sodium bicarbonate and the medium initial pH. A fractional factorial design was applied to study the main factors that affected the growth of a probiotic strain of C. butyricum currently preserved in our lab and the central composite experimental design was adopted to derive a statistical model for optimizing the composition of the fermentation medium. The experimental results showed that the optimum fermentation medium for the growth of C. butyricum was composed of 2% glucose (w/v), 0.5% pectin (w/v), 0.2% casein (w/v), 3.98% soyabean cake extract, 0.1% (NH4)2SO4 (w/v), 0.124% NaHCO3 (w/v), 0.37% corn steep flour (w/v), 0.02% MnSO4 H2O (w/v), 0.02% MgSO4 7H2O (w/v) and 0.002% CaCl2 (w/v) at pH 7.5. CONCLUSIONS: After incubating 24 h in the optimum fermentation medium, the populations of the viable organisms were estimated to be 10(9) CFU ml(-1). In the present study, we report the optimization of a growth medium that produced increased yields using statistical approach. SIGNIFICANCE AND IMPACT OF THE STUDY: The use of bacteria as a probiotic is showing increasing potential. The development of a growth medium that has a high yield is an obvious need, and the approach to optimizing a growth medium is innovative.     

应用响应面方法优化Coniothyrium minitans固态发酵生产生物农药

利用响应面方法对固态发酵生产生物农药盾壳霉 (Coniothyriumminitans)孢子的培养基条件进行了优化研究。响应面分析结果表明 ,淀粉、尿素和KH2 PO4与Coniothyriumminitans的孢子产量存在显著的相关性 ,通过求解回归方程得到优化发酵条件 :当淀粉为 36 .4 3g L ,尿素3.91g L和KH2 PO41.0 2 g L时 ,孢子产量达到理论最大值 9.94× 10 9孢子 g麸皮 ,在摇瓶发酵条件下 ,实际最大孢子产量为 1.0 4× 10 10 孢子 g麸皮     

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％。     

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。     

Application of response surface methodology in medium optimization for spore production of <Emphasis Type="Italic">Coniothyrium minitans</Emphasis> in solid-state fermentation

Summary Spore production of Coniothyrium minitans was optimized by using response surface methodology (RSM), which is a powerful mathematical approach widely applied in the optimization of fermentation process. In the first step of optimization, with Plackett–Burman design, soluble starch, urea and KH²PO⁴ were found to be the important factors affecting C. minitans spore production significantly. In the second step, a 2³ full factorial central composite design and RSM were applied to determine the optimal concentration of each significant variable. A second-order polynomial was determined by the multiple regression analysis of the experimental data. The optimum values for the critical components for the maximum were obtained as follows: soluble starch 0.643 (36.43 g. l⁻¹), urea −0.544 (3.91 g l⁻¹) and KH²PO⁴ 0.049 (1.02 g l⁻¹) with a predicted value of maximum spore production of 9.94 × 10⁹ spores/g IDM. Under the optimal conditions, the practical spore production was 1.04 × 10¹⁰ spores/g IDM. The determination coefficient (R²) was 0.923, which ensure an adequate credibility of the model.     

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。     

Bioprocess optimization for production of thermoalkali-stable protease from Bacillus subtilis K-1 under solid-state fermentation

Cost-effective production of proteases, which are robust enough to function under harsh process conditions, is always sought after due to their wide industrial application spectra. Solid-state production of enzymes using agro-industrial wastes as substrates is an environment-friendly approach, and it has several advantages such as high productivity, cost-effectiveness, being less labor-intensive, and less effluent production, among others. In the current study, different agro-wastes were employed for thermoalkali-stable protease production from Bacillus subtilis K-1 under solid-state fermentation. Agricultural residues such as cotton seed cake supported maximum protease production (728?U?ml^?1), which was followed by gram husk (714?U?ml^?1), mustard cake (680?U?ml^?1), and soybean meal (653?U?ml^?1). Plackett–Burman design of experiment showed that peptone, moisture content, temperature, phosphates, and inoculum size were the significant variables that influenced the protease production. Furthermore, statistical optimization of three variables, namely peptone, moisture content, and incubation temperature, by response surface methodology resulted in 40% enhanced protease production as compared to that under unoptimized conditions (from initial 728 to 1020?U?ml^?1). Thus, solid-state fermentation coupled with design of experiment tools represents a cost-effective strategy for production of industrial enzymes.     

Evaluation of alpha-galactosidase biosynthesis by Streptomyces griseoloalbus in solid-state fermentation using response surface methodology

Aim: The present study was aimed at evaluating the effects of the three crucial factors, galactose concentration, inoculum size and moisture content, on α‐galactosidase production by the filamentous actinobacterium Streptomyces griseoloalbus in solid‐state fermentation. Methods and Results: Central Composite design was adopted to derive a statistical model for the optimization of fermentation conditions. Maximum α‐galactosidase yield (117 U g^–1 of dry fermented substrate) was obtained when soya bean flour supplemented with 1·5% galactose and with initial moisture content of 40% was inoculated with 1·9 × 10⁶ CFU g^?1 initial dry substrate. Conclusions: The model was valid and could result in considerably enhanced enzyme yield. Significance and Impact of the Study: The results indicated a cost effective method for the production of α‐galactosidase using soya bean flour. This is the first report on exploitation of the potential of filamentous bacterium for the production of α‐galactosidase, an enzyme having versatile applications.     

A novel and cost-effective methodology for enhanced production of industrially valuable alkaline xylano-pectinolytic enzymes cocktail in short solid-state fermentation cycle

The aim of this study was to enhance the production of xylano-pectinolytic enzymes concurrently and also to reduce the fermentation period. In this study, the effect of agro-residues extract-based inoculum on yield and fermentation time of xylano-pectinolytic enzymes was studied. Microbial inoculum and fermentation media were supplemented with xylan and pectin polysaccharides derived from agro-based residues. Enzymes production parameters were optimized through two-stage statistical design approach. Under optimized conditions (temperature 37°C, pH 7.2, K₂HPO₄ 0.22%, MgSO₄ 0.1%, gram flour 5.6%, substrate: moisture ratio 1:2, inoculum size 20%, agro-based crude xylan in production media 0.45%, and agro-based crude xylan–pectin in inoculum 0.13%), nearly 28,255 ± 565 and 9,202 ± 193 IU of xylanase and pectinase, respectively, were obtained per gram of substrate in a time interval of 6 days only. The yield of both xylano-pectinolytic enzymes was enhanced along with a reduction of nearly 24 h in fermentation time in comparison with control, using polysaccharides extracted from agro-residues. The activity of different types of pectinase enzymes such as exo-polymethylgalacturonase (exo-PMG), endo-PMG, exo-polygalacturonase (exo-PG), endo-PG, pectin lyase, pectate lyase, and pectin esterase was obtained as 1,601, 12.13, 5637, 24.86, 118.62, 124.32, and 12.56 IU/g, respectively, and was nearly twofold higher than obtained for all seven types in control samples. This is the first report mentioning the methodology for enhanced production of xylano-pectinolytic enzymes in short solid-state fermentation cycle using agro-residues extract-based inoculum and production media.     

Response surface methodology for optimization of medium components in submerged culture of Aspergillus flavus for enhanced heparinase production

Aims: Aim of the study was to develop a medium for optimal heparinase production with a strain of Aspergillus flavus (MTCC‐8654) by using a multidimensional statistical approach. Methods and Results: Statistical optimization of intracellular heparinase production by A. flavus, a new isolate, was investigated. Plackett–Burman design was used to evaluate the affect of medium constituents on heparinase yield. The experimental results showed that the production of heparinase was dependent upon heparin, the inducer; chitin, structurally similar to heparin and NH₄NO_3, the nitrogen source. A central composite design was applied to derive a statistical model for optimizing the composition of the fermentation medium for the production of heparinase enzyme. The optimum fermentation medium consisted of (g l^?1) Mannitol, 8·0; NH₄NO₃, 2·5; K₂HPO₄, 2·5; Na₂HPO₄, 2·5; MgSO₄.7H₂O, 0·5; Chitin, 17·1; Heparin, 0·6; trace salt solution (NaMoO₄.2H₂O, CoCl₂.6H₂O, CuSO₄.5H₂O, FeSO₄.7H₂O, CaCl₂), 10^?4 mol l^?1. Conclusions: A 2·37‐fold increase in heparinase production was achieved in economic and effective manner by the application of statistical designs in medium optimization. Significance and Impact of the Study: Heparinase production was doubled by statistical optimization in a cost‐effective manner. This heparinase can find application in pharmaceutical industry and for the generation of low‐molecular‐weight heparins, active as antithrombotic and antitumour agents.     

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。     

响应面设计优化莱氏绿僵菌SZCY固体发酵培养条件及致病力测定

【背景】莱氏绿僵菌(Metarhizium rileyi)对新入侵我国的草地贪夜蛾(Spodoptera frugiperda)具有较强的致病力和田间流行性,因此具备深入开发的价值。【目的】优化莱氏绿僵菌SZCY固态发酵培养条件,测定所产分生孢子对草地贪夜蛾幼虫的毒力,为提高该菌株分生孢子规模化生产奠定基础。【方法】采用单因素试验确定了相对适宜的固态培养基,利用Box-Behnken响应面法优化该菌株的固态培养基和发酵参数,同时评价不同条件下该菌所产分生孢子对草地贪夜蛾幼虫的毒力。【结果】去颖稻谷(rice)为莱氏绿僵菌SZCY菌株固相产孢最佳载体。培养温度、光周期及酵母浸粉含量是影响莱氏绿僵菌SZCY固态发酵产孢量的主要因素。莱氏绿僵菌SZCY固态发酵最佳工艺参数为温度22.83℃、光周期18.68 h L:5.32 h D、酵母浸粉4.98 g/100 g,在此条件下,莱氏绿僵菌在去颖稻谷固态培养基上的产孢量为5.65×10¹⁰孢子/g,用其制备浓度为10⁷孢子/mL的孢子悬浮液,对草地贪夜蛾3龄幼虫的LT₅₀为3....     

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。     

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.     

Phytase production by solid-state fermentation of groundnut oil cake by Aspergillus niger: A bioprocess optimization study for animal feedstock applications

This investigation deals with the use of agro-industrial waste, namely groundnut oil cake (GOC), for phytase production by the fungi Aspergillus niger NCIM 563. Plackett–Burman design (PBD) was used to evaluate the effect of 11 process variables and studies here showed that phytase production was significantly influenced by glucose, dextrin, distilled water, and MgSO₄ · 7H₂O. The use of response surface methodology (RSM) by Box–Behnken design (BBD) of experiments further enhanced the production by a remarkable 36.67-fold from the original finding of 15 IU/gds (grams of dry substrate) to 550 IU/gds. This is the highest solid-state fermentation (SSF) phytase production reported when compared to other microorganisms and in fact betters the best known by a factor of 2. Experiments carried out using dried fermented koji for phosphorus and mineral release and also thermal stability have shown the phytase to be as efficient as the liquid enzyme extract. Also, the enzyme, while exhibiting optimal activity under acidic conditions, was found to have significant activity in a broad range of pH values (1.5–6.5). The studies suggest the suitability of the koji supplemented with phytase produced in an SSF process by the “generally regarded as safe” (GRAS) microorganism A. niger as a cost-effective value-added livestock feed when compared to that obtained by submerged fermentation (SmF).     

L-亮氨酸发酵培养基优化试验

应用Plackett-Burman设计试验从L-亮氨酸基础发酵培养基的10种成分中筛选出5种重要成分,然应用响应面分析试验确定5种重要成分的最适用量。培养基优化后摇瓶分批发酵72h产L-亮氨酸18.05g/L