Enzymatic production of glycerol acetate from glycerol

In this study, we report the enzymatic production of glycerol acetate from glycerol and methyl acetate. Lipases are essential for the catalysis of this reaction. To find the optimum conditions for glycerol acetate production, sequential experiments were designed. Type of lipase, lipase concentration, molar ratio of reactants, reaction temperature and solvents were investigated for the optimum conversion of glycerol to glycerol acetate. As the result of lipase screening, Novozym 435 (Immobilized Candida antarctica lipase B) was turned out to be the optimal lipase for the reaction. Under the optimal conditions (2.5 g/L of Novozym 435, 1:40 molar ratio of glycerol to methyl acetate, 40 °C and tert-butanol as the solvent), glycerol acetate production was achieved in 95.00% conversion.     

Optimization of ultrasonic-stimulated solvent extraction of sinigrin from Indian mustard seed (Brassica Juncea L.) using response surface methodology

Introduction – Sinigrin, a major glucosinolate present in Indian mustard (Brassica juncea L.) seeds as the precursor of the anticancer compound allyl isothiocyanate, shows a wide range of biological activities. It's necessary to optimize the extraction methods and conditions, in order to improve the extraction productivity and save raw material. Objective – To systemically investigate and optimize the most important factors affected the productivity of sinigrin in the process of extraction using response surface methodology. Methodology – The ranges of three main factors including the ethanol concentration, extraction time and extraction temperature were selected by the one‐factor‐at‐a‐time method. The conditions of ultrasonic‐stimulated extraction of sinigrin from defatted Indian mustard seed powder were optimized by Box‐Behnken design to obtain the maximum productivity. Result – The predicted productivity (3.81%) was obtained using 57% ethanol concentration at 81°C for 60 min, with the coefficient of the model R² > 0.96 (n = 17). The actual productivity (3.84 ± 0.02%) of sinigrin under the optimized condition was increased by 70.67% compared with the result of conventional extraction. Meanwhile, HPLC, UV and IR were applied to examine if there is a difference between the ultrasonic‐stimulated solvent extraction and conventional extraction, and the improvement of productivity of sinigrin depended on the destruction of cell wall caused by the elimination of outer pectinous material was explained by SEM and composition content analysis. Conclusion – The ultrasonic‐stimulated solvent extraction was suggested to be a promising method to improve the productivity of sinigrin. And the results demonstrated that sinigrin productivity may be related to pectinous materials existed in the seeds. Copyright © 2010 John Wiley & Sons, Ltd.     

Effect of water extraction on sugars recovery from steam exploded olive tree pruning

Biomass of olive tree pruning can be considered a suitable raw material for the production of ethanol due to its high content of potentially fermentable carbohydrates. However its high extractives content could cause condensation reactions between extractives and acid insoluble lignin during pretreatment, hindering the enzymatic hydrolysis of pretreated material. In this work, the effect of extractives removal before steam explosion of olive tree pruning was evaluated. The objectives are to recover as much glucose as possible in the extraction stage and to avoid the condensation reactions. The effect of temperature and time of water extracted material on sugars recovery was studied using a response surface method according to a central composite design. Extractive removal previous to steam explosion resulted in 20% more total sugars recovery in comparison to a material without water extraction stage.     

AFP蛋白芯片技术的检测流程优化

目的:通过优化现有的蛋白芯片检测过程,在保证检测准确性的同时缩短甲胎蛋白(Alpha Fetal protein,AFP)的检测时间,提高检测效率,为原发性肝癌的筛查提供经济、便捷、省时、有效的检测方法。方法:本研究在传统蛋白芯片检测流程(1-1.5小时)的基础上,通过优化检测流程将检测时间缩短至18分钟,并且通过和传统方法进行比较,评价该优化方法的检测效能。结果:与传统蛋白芯片检测方法相比,本优化方法的检测时间缩短至18分钟。重复检测同一样本,传统方法 AFP水平为16.50±1.172ng/m L,优化方法 AFP水平为18.33±1.029 ng/m L,结果无明显统计学差异(P=0.251)。结论:本研究成功地优化了AFP的蛋白芯片检测流程,在缩短检测时间的同时,保证了检测的准确率,是一种经济省时易操作的AFP检测方法。     

棕榈ISSR反应条件的筛选与优化

应用ISSR技术对棕榈(Trachycarpusfortunei)进行分析研究,对影响ISSR反应的各因子进行探讨,确定了该研究的最佳反应条件,建立了棕榈ISSR反应的最佳反应体系,为进行棕榈居群遗传多样性的研究奠定了基础。     

Optimization of nutrient parameters for lovastatin production by <Emphasis Type="Italic">Monascus purpureus</Emphasis> MTCC 369 under submerged fermentation using response surface methodology

Lovastatin, an inhibitor of HMG-CoA reductase, was produced by submerged fermentation using Monascus purpureus MTCC 369. Five nutritional parameters screened using Plackett–Burman experimental design were optimized by Box–Behnken factorial design of response surface methodology for lovastatin production in shake flask cultures. Maximum lovastatin production of 351 mg/l were predicted in medium containing 29.59 g/l dextrose, 3.86 g/l NH₄Cl, 1.73 g/l KH₂PO₄, 0.86 g/l MgSO₄·7H₂O, and 0.19 g/l MnSO₄·H₂O using response surface plots and point prediction tool of DESIGN EXPERT 7.0 (Statease, USA) software.     

Evolutionary and swarm intelligence‐based approaches for optimization of lipase extraction from fermented broth

Evolutionary and swarm intelligence‐based optimization approaches, namely genetic algorithm (GA) and particle swarm optimization (PSO), were utilized to determine the optimal conditions for the lipase extraction process. The input space of the nonlinear response surface model of lipase extraction served as the objective function for both approaches. The optimization results indicate that the lipase activity was significantly improved, more than 20 U/g of dry substrate (U/gds), in both approaches. PSO (133.57 U/gds in the 27th generation) outperforms GA (132.24 U/gds in the 320th generation), slightly in terms of optimized lipase activity and highly in terms of convergence rate. The simple structure associated with the effective memory capability of PSO renders it superior over GA. The proposed GA and PSO approaches, based on a biological phenomenon, are considered as natural and thus may replace the traditional gradient‐based optimization approaches in the field of downstream processing of enzymes.     

Systematic factor optimization for cryopreservation of shipped sperm samples of diploid Pacific Oysters, Crassostrea gigas

Despite some 26 published reports addressing oyster sperm cryopreservation, systematic factor optimization is lacking, and sperm cryopreservation has not yet found application in aquaculture on a commercial scale. In this study, the effects of cooling rate, single or combined cryoprotectants at various concentrations, equilibration time (exposure to cryoprotectant), straw size, and cooling method were evaluated for protocol optimization of shipped sperm samples from diploid oysters. Evaluation of cooling rates revealed an optimal rate of 5 degrees C/min to -30 degrees C followed by cooling at 45 degrees C/min to -80 degrees C before plunging into liquid nitrogen. Screening of single or combined cryoprotectants at various concentrations suggested that a low concentration (2%) of polyethylene glycol (FW 200) was effective in retaining post-thaw motility and fertilizing capability when combined with permeating cryoprotetcants such as dimethyl sulfoxide (DMSO), methanol (MeOH), and propylene glycol (P-glycol). However, polyethylene glycol alone was not as effective as MeOH, DMSO, and P-glycol when using the same methods. The highest post-thaw motility (70%) and percent fertilization (98%) were obtained for samples cryopreserved with 6% MeOH. However, this does not exclude other cryoprotectants such as DMSO or P-glycol identified as effective agents in other studies. There was no significant difference in post-thaw motility between straw sizes of 0.25- and 0.5-ml. Equilibration time (exposure to cryoprotectant) of 60 min could be beneficial when the cryoprotectant concentration is low and solution is added in a step-wise fashion at low temperature. Differences in post-thaw sperm quality (e.g., motility or percent fertilization) among individual males were evident in this research. As a consequence, a generalized classification describing males with different tolerances (broad, intermediate, and narrow) to cryopreservation was developed. This classification could be applied to strain or species differences in tolerances to the cryopreservation process. The present study demonstrated that oyster sperm could be collected and shipped chilled to another facility for cryopreservation, and that it could be shipped back to the hatchery for fertilization performed at a production scale yielding live larvae with >90% fertilization. Given the existence of facilities for commercial-scale cryopreservation of dairy bull sperm, the methods developed in the present study for oysters provide a template for the potential commercialization of cryopreserved sperm in aquatic species.     

The public health implications of maternal care trade-offs

The socioeconomic and ethnic characteristics of parents are some of the most important correlates of adverse health outcomes in childhood. However, the relationships between ethnic, economic, and behavioral factors and the health outcomes responsible for this pervasive finding have not been specified in child health epidemiology. The general objective of this paper is to propose a theoretical approach to the study of maternal behaviors and child health in diverse ethnic and socioeconomic environments. The specific aims are: (a) to describe a causal pathway between the utility that women obtain through work outside the home and through child care and disease hazard rates in childhood using an optimization model; (b) to specify the influence of ethnic and socioeconomic factors on model constraints; (c) to use the model as a tool to learn about how different combinations of maternal wage labor and child care time might influence child health outcomes in diverse social contexts; (d) to identify parameters that will require measurement in future research; (e) to discuss research strategies that will enable us to obtain these measurements; and (f) to discuss the implications of the model for biostatistical modeling and public health intervention. Optimization models are powerful heuristic tools for understanding how ethnic, environmental, family, and personal characteristics can place important constraints on both the quality and quantity of care that women can provide to their children. They provide a quantitative appreciation for the difficult trade-offs that most women face between working in order to purchase basic goods that children cannot do without (e.g., food, clothing, shelter, health insurance), and increasing offspring well-being through child care (e.g., training in social skills, affection, protection from environmental hazards, help with homework). The research was funded by a Faculty Scholars Award from the William T. Grant Foundation to A. Magdalena Hurtado. A. Magdalena Hurtado, Ph.D., is an associate professor in the Department of Anthropology, University of New Mexico. Her research interests include the origins of the sexual division of labor, epidemiology of indigenous peoples, disease susceptibility, the development and intergenerational transmission of antigens and immune defense, immune function and allergic sensitization, and trauma. She also works on public health interventions, biological capital and poverty, and land tenure and human rights in native communities of South America. Carol Lambourne, M.Sc., is a doctoral candidate in the Department of Anthropology, University of New Mexico. Her research interests are evolutionary models of child and adolescent development, life history theory, family composition and investment patterns, pubertal timing and psychosexual maturation, juvenile stress, and infanticide. Kim Hill, Ph.D., is a professor in the Department of Anthropology, University of New Mexico. His research interests are modern hunter-gatherers, including extensive fieldwork in lowland South America. Current topics of interest include human evolution, economic strategies, life history theory, the evolution of cooperation, and the emergence of social norms enforced by punishment. He is also involved in economic development, health and education projects with lowland South American native populations. Karen Kessler received her M.S. in Anthropology from the University of New Mexico in 1996. Her research interests are the application of mathematical modeling to the prevention of diabetes and other causes of morbidity and mortality in historical populations.