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以模式生物酿酒酵母为材料,研究亚砷酸钠对细胞生长、抗氧化酶活性、丙二醛(MDA)含量及胞内活性氧(ROS)水平的影响。结果显示,加入亚砷酸钠(终浓度0.1~0.6 mmol·L~(-1))后,培养液在600 nm处的光密度值(OD600值)低于对照组,并呈浓度依赖性降低。经亚砷酸钠处理12 h后,酵母细胞中过氧化物酶(POD)、过氧化氢酶(CAT)、超氧化物歧化酶(SOD)和总抗氧化能力(T-AOC)活性均增高,但胞内ROS水平和MDA含量与对照组无显著差异。砷处理24 h后,POD在0.2 mmol·L~(-1)砷处理组中活性最高,而CAT、SOD和T-AOC活性呈浓度依赖性增高;胞内ROS水平和MDA含量在高浓度砷组(0.4和0.6 mmol·L~(-1))显著增高。结果表明,亚砷酸钠可抑制酵母细胞生长,改变细胞内抗氧化酶活性,较高浓度时可引起细胞氧化损伤。 相似文献
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An optimized nonlinear grey Bernoulli model was proposed by using a particle swarm optimization algorithm to solve the parameter optimization problem. In addition, each item in the first-order accumulated generating sequence was set in turn as an initial condition to determine which alternative would yield the highest forecasting accuracy. To test the forecasting performance, the optimized models with different initial conditions were then used to simulate dissolved oxygen concentrations in the Guanting reservoir inlet and outlet (China). The empirical results show that the optimized model can remarkably improve forecasting accuracy, and the particle swarm optimization technique is a good tool to solve parameter optimization problems. What's more, the optimized model with an initial condition that performs well in in-sample simulation may not do as well as in out-of-sample forecasting. 相似文献
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