Separation of Subclasses of Human Serum High Density Lipoproteins by Zonal Ultracentrifugation

An improved one-step method for the preparative separation of three subfraotions of high-density lipoproteins from normal human serum has been developed. It employs the method of rate zonal ultracentrifugation in a Z-60 rotor using a discontinuous NaBr gradient in the density range of 1.0 - 1.4. The density gradients were monitored directly by a flow-through density meter allowing the direct read-out of the actual densities in the process of filling and emptying the rotor. The separation of the three density fractions from 5 to 15 ml serum was achieved during a single 12 hours run at 59.000 rpm. The three fractions showed characteristically different patterns on polyacrylamide gel electrophoresis and differences in their lipid and protein composition.     

A Simple Bioassay for Herbicidal Substances of Microbial Origin by Determining de novo Starch Synthesis in Leaf Segments

A simple and sensitive assay system was developed in the search for new herbicidal substances. The system is based on the following two phenomena observed in photosynthesis: (1) de novo starch synthesis, determined in excised leaf segments of barnyard millet (Panicum crus-galli), a C₄ plant, and Italian ryegrass (Lolium multiflorum Lam.), a C₃ plant; and (2) oxygen evolution in the cells of Scenedesmus obliquus, detected by using an oxygen electrode. The system can detect photosynthesis-inhibiting herbicides at a concentration as low as 0.1 ppm. After assaying 6,500 microbial culture broths, 6 culture filtrates were selected for further study.     

生产γ-氨基丁酸乳酸菌的选育及发酵条件优化

通过对食品安全级 (GRAS)乳酸菌的筛选 ,得到一株可高产谷氨酸脱羧酶的菌株。并且对菌株的发酵培养基与发酵条件进行了优化。结果表明 :采用优化后的培养基 ,调初始pH为 7.0 ,在 33℃进行发酵培养 3d后 ,发酵液中GABA含量可达到31 0g·L-1 以上 ,比优化前提高了约 4倍     

Characterization and immobilization on nickel-chelated Sepharose of a glutamate decarboxylase A from Lactobacillus brevis BH2 and its application for production of GABA

A gene encoding glutamate decarboxylase A (GadA) from Lactobacillus brevis BH2 was expressed in a His-tagged form in Escherichia coli cells, and recombinant protein exists as a homodimer consisting of identical subunits of 53?kDa. GadA was absolutely dependent on the ammonium sulfate concentration for catalytic activity and secondary structure formation. GadA was immobilized on the metal affinity resin with an immobilization yield of 95.8%. The pH optima of the immobilized enzyme were identical with those of the free enzyme. However, the optimum temperature for immobilized enzyme was 5?°C higher than that for the free enzyme. The immobilized GadA retained its relative activity of 41% after 30 reuses of reaction within 30?days and exhibited a half-life of 19 cycles within 19?days. A packed-bed bioreactor with immobilized GadA showed a maximum yield of 97.8% GABA from 50?mM l-glutamate in a flow-through system under conditions of pH 4.0 and 55?°C.     

Optimization of a fermentation medium using neural networks and genetic algorithms

Artificial neural networks and genetic algorithms are used to model and optimize a fermentation medium for the production of the enzyme hydantoinase by Agrobacterium radiobacter. Experimental data reported in the literature were used to build two neural network models. The concentrations of four medium components served as inputs to the neural network models, and hydantoinase or cell concentration served as a single output of each model. Genetic algorithms were used to optimize the input space of the neural network models to find the optimum settings for maximum enzyme and cell production. Using this procedure, two artificial intelligence techniques have been effectively integrated to create a powerful tool for process modeling and optimization.     

Statistical optimization of the phytoremediation of arsenic by Ludwigia octovalvis- in a pilot reed bed using response surface methodology (RSM) versus an artificial neural network (ANN)

In this study, the removal of arsenic (As) by plant, Ludwigia octovalvis, in a pilot reed bed was optimized. A Box-Behnken design was employed including a comparative analysis of both Response Surface Methodology (RSM) and an Artificial Neural Network (ANN) for the prediction of maximum arsenic removal. The predicted optimum condition using the desirability function of both models was 39 mg kg^?1 for the arsenic concentration in soil, an elapsed time of 42 days (the sampling day) and an aeration rate of 0.22 L/min, with the predicted values of arsenic removal by RSM and ANN being 72.6% and 71.4%, respectively. The validation of the predicted optimum point showed an actual arsenic removal of 70.6%. This was achieved with the deviation between the validation value and the predicted values being within 3.49% (RSM) and 1.87% (ANN). The performance evaluation of the RSM and ANN models showed that ANN performs better than RSM with a higher R² (0.97) close to 1.0 and very small Average Absolute Deviation (AAD) (0.02) and Root Mean Square Error (RMSE) (0.004) values close to zero. Both models were appropriate for the optimization of arsenic removal with ANN demonstrating significantly higher predictive and fitting ability than RSM.     

Optimization of ultrasound-accelerated synthesis of enzymatic octyl hydroxyphenylpropionate by response surface methodology

The ultrasound-accelerated enzymatic synthesis of octyl hydroxyphenylpropionate (OHPP) from p-hydroxyphenylpropionic acid (HPPA) and octanol was investigated in this study. A commercially available immobilized lipase from Candida antarctica, Novozym 435, was used as the biocatalyst. A three-level-three-factor Box-Behnken design experiment and response surface methodology were used to evaluate the effects of temperature, reaction time, and enzyme activity on percent yield of OHPP. The results indicated that temperature and enzyme activity significantly affected percent yield, whereas reaction time did not. A model for the synthesis of OHPP was established. Based on a ridge max analysis, the optimum conditions for OHPP synthesis were predicted to use a reaction temperature of 58.8°C, a reaction time of 14.6 h, and an enzyme activity of 410.5 PLU with a yield of 98.5%. A reaction was performed under these optimal conditions, and a yield of 97.5% ± 0.1% was obtained.     

猪脑谷氨酸脱羧酶的分离纯化以及生物学活性鉴定

L-谷氨酸脱羧酶是γ-氨基丁酸合成的关键限速酶,广泛的存在于脊椎动物神经细胞以及β-胰腺细胞,是胰岛素依赖型糖尿病(IDDM)病人以及僵硬综合症(SMS)病人血清的关键抗原。运用sephamryl S-200以及DEAEsepharose可以从猪脑中分离纯化出谷氨酸脱羧酶。纯化的GAD在变性条件下电泳,经考马斯亮蓝R250染色以及Western-Blot鉴定主要有两条带,分子量分别为67kD和44kD。根据L-谷氨酸脱羧酶能够分解谷氨酸产生γ-氨基丁酸和CO2的特性,通过测定产物γ-氨基丁酸推断酶活。以上实验结果表明从猪脑中分离纯化到的是具有生物学活性以及免疫原性的谷氨酸脱羧酶,可进一步改良为IDDM检测试剂盒,用于IDDM的预防和预测。     

响应曲面法优化菌丝体中红曲色素的提取条件

以红曲菌丝体为原料,通过单因素实验及Box-Behnken设计响应曲面分析优化了红曲色素的提取工艺条件。通过实验,得到了提取率的回归方程Y=0.923-0.011X1-0.011X2-0.017X12-0.027X22-0.026X32-0.028X1X2-0.019X1X3,通过对模型解逆矩阵得优化方案:乙醇浓度X1=66%、超声功率X2=200 w、提取温度X3=52℃,模型预测结果为92.5%。在该工艺条件下进行验证实验,提取率达到92.1±0.6%(n=3)。     

Optimization of glutamate concentration and pH for H production from volatile fatty acids by Rhodopseudomonas capsulata

AIMS: This study attempted to employ response surface methodology (RSM) to evaluate the effects of glutamate concentration and pH on H(2) production from volatile fatty acids by Rhodopseudomonas capsulata. METHODS AND RESULTS: A mixture of acetate, propionate and butyrate was used as a carbon source for the H(2) production by R. capsulata. The H(2) yield and H(2) production rate were strongly affected by the glutamate concentration, pH and their interaction. The predicted maximum H(2) yield of 0.534 was obtained when glutamate concentration and pH were 6.56 mmol l(-1) and 7.29 respectively. On the contrary, the maximum H(2) production rate of 18.72 ml l(-1) h(-1) was achieved at a glutamate concentration of 7.01 mmol l(-1) and pH 7.31. CONCLUSIONS: Taking H(2) yield and H(2) production rate together into account, a glutamate concentration of 6.56-7.01 mmol l(-1) and pH of 7.29-7.31 should be selected for H(2) production from a mixture of acetate, propionate and butyrate by R. capsulata. SIGNIFICANCE AND IMPACT OF THE STUDY: The RSM was a useful tool for maximizing H(2) production by photosynthetic bacteria (PSB).     

Purification and Characterization of Polyphenol Oxidase From Waste Potato Peel by Aqueous Two-Phase Extraction

Potato peel from food industrial waste is a good source of polyphenol oxidase (PPO). This work illustrates the application of an aqueous two-phase system (ATPS) for the extraction and purification of PPO from potato peel. ATPS was composed of polyethylene glycol (PEG) and potassium phosphate buffer. Effect of different process parameters, namely, PEG, potassium phosphate buffer, NaCl concentration, and pH of the system, on partition coefficient, purification factor, and yield of PPO enzyme were evaluated. Response surface methodology (RSM) was utilized as a statistical tool for the optimization of ATPS. Optimized experimental conditions were found to be PEG1500 17.62% (w/w), potassium phosphate buffer 15.11% (w/w), and NaCl 2.08 mM at pH 7. At optimized condition, maximum partition coefficient, purification factor, and yield were found to be 3.7, 4.5, and 77.8%, respectively. After partial purification of PPO from ATPS, further purification was done by gel chromatography where its purity was increased up to 12.6-fold. The purified PPO enzyme was characterized by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE), followed by K_m value 3.3 mM, and V_max value 3333 U/mL, and enzyme stable ranges for temperature and pH of PPO were determined. These results revealed that ATPS would be an attractive option for obtaining purified PPO from waste potato peel.     

Preparation and application of sulfated xylan as a flocculant for dye solution

The main purpose of this study is to explore the sulfation of xylan to produce an anionic flocculant, sulfated xylan, for removing ethyl violet dye from simulated dye solutions. In this work, xylan was sulfated with chlorosulfonic acid in N, N‐dimethylformamide solvent and the reaction conditions were optimized using a response surface methodology. It was observed that the maximum degree of substitution of 1.1 was obtained for sulfated xylan under the conditions of 3.71 chlorosulfonic acid/xylan molar ratio, 70°C and 7 h reaction time. The resulting sulfated xylan had a charge density of ?3.12 mmol/g and molecular weight (M_w) of 22,300 g/mol. Furthermore, elemental and thermogravimetric analyses, Fourier transform infrared spectroscopy and proton nuclear magnetic resonance (¹H‐NMR) confirmed the sulfation of xylan. The application of sulfated xylan as a flocculant for decolorizing the simulated ethyl violet dye wastewater was studied. The results indicated that 97% of dye was removed from 50 mg/L dye solution at the sulfated concentration of 175 mg/L and pH 9, but unmodified xylan was ineffective in flocculating and removing dye segments. © 2018 American Institute of Chemical Engineers Biotechnol. Prog., 34:529–536, 2018     

基于人工神经网络-遗传算法的樟芝发酵培养基优化

采用优化模型对药用丝状真菌樟芝的复杂发酵过程进行建模,并获得最优发酵培养基组成.对樟芝发酵过程中的形态变化过程进行了观察,并分别采用人工神经网络(ANN)和响应面法(RSM)对樟芝发酵过程进行建模,同时采用遗传算法(GA)优化了发酵培养基组成.结果表明,ANN模型比RSM模型具有更好的实验数据拟合能力和预测能力,GA计算得到樟芝生物量理论最大值为6.2 g/L,并获得发酵最佳接种量及培养基组成:孢子浓度1.76× 105个/mL,葡萄糖29.1 g/L,蛋白胨9.4 g/L,黄豆粉2.8 g/L.在最佳培养条件下,樟芝生物量为(6.1±0.2)g/L.基于ANN-GA的优化方法可用于优化其他丝状真菌的复杂发酵过程,从而获得生物量或活性代谢产物.     

响应面法优化巨大芽孢杆菌中的聚-β-羟基丁酸(PHB)提取工艺

为获得聚-β-羟基丁酸(PHB)提取的最佳工艺,以氯仿浓度,提取时间,和提取温度为影响因子,在单因素实验结果的基础上,应用Box-Benhnken中心组合方法进行三因素三水平的实验设计,以PHB提取量为响应值,运用响应面法(RSM)对提取条件进行进一步的优化。结果表明:在氯仿浓度69.7%,提取温度59.7℃,提取时间3.0 h的条件下,PHB提取量达到最大值4.430 g/L。     

利用响应面分析法优化胶质类芽胞杆菌初级种子培养基

采用响应面分析法（RSM）对胶质类芽胞杆菌的初级种子培养基进行了优化,以提高其菌体密度和后续发酵效率。首先采用单因子试验筛选出提升菌体密度的适宜碳源和氮源,分别为麦芽糖和胰蛋白胨,在此基础上采用Plackett Burman(PB)试验设计法,对9种影响菌体生长繁殖的因素进行了评价,结果表明,麦芽糖和MgSO₄·7H₂O对菌体繁殖影响最为显著。用快速登高试验逼近关键因素的最大响应区域,通过中心组合试验和验证试验,获得胶质类芽胞杆菌优化培养基成分为麦芽糖 2.5 g/L,胰蛋白胨1.0 g/L,MgSO₄·7H₂O 0.73 g/L,K₂HPO₄·3H₂O 0.4 g/L,NaCl 0.06 g/L,FeCl₃ 0.6 mg/L,水杨酸10 mg/L,CaCO₃ 1.0 g/L。使用该优化培养基可将菌体密度较优化前提高了近10倍,含量达到4.12×10² cfu/mL。结果为提高胶质类芽胞杆菌的生产发酵水平和保证产品质量提供依据。     

响应面法优化Zn-Mn-Co/HZSM-5催化乙醇脱水制乙烯

采用响应面法研究温度、乙醇浓度、质量空速对锌、锰、钴改性的HZSM-5催化乙醇脱水制备乙烯过程中乙烯收率的影响。结果表明反应温度对乙烯收率影响最大,并且各因素之间存在交互作用。用响应面方法确定乙醇脱水制备乙烯的最佳工艺条件是：温度261.3 ℃,乙醇浓度34.4％,质量空速1.18 h?1,在该条件下乙烯收率达到98.69％。     

响应面分析法用于微生物培养基浓度的优化

首次将响应面分析法 (RSM )用于延胡索酸酶产生菌产氨短杆菌MA 2和黄色短杆菌MA 3培养基成份的优选 ,并且取得了良好的结果。经优化后产氨短杆菌MA 2酶活达 2 7.88×10 3 μmol/g·h ,黄色短杆菌MA 3酶活达 32 .2 6× 10 3 μmol/g·h ,较国内外文献报道的其它产氨短杆菌、黄色短杆菌单位菌体延胡索酸酶活力有显著提高。