Research progress in microbial cytochrome P450 and xenobiotic metabolism北大核心CSCD

Cytochrome P450 (CYP450s) is a type of heme-mercaptide protein superfamily, which is distributed widely in animals, plants, and microorganisms. CYP450s can oxidize and degrade many exogenous compounds such as drugs, herbicides, pesticides, some persistent organic pollutants, and so on. Based on recent researches, this paper reviews the nomenclature, classification, structure, and catalytic mechanism of P450 enzymes, and summarizes the research progresses in the metabolism and biodegradation of xenobiotics using P450 enzymes from microorganisms. The nomenclature and classification of the P450 gene superfamily mainly rely on the similarities of amino acid sequences. Although the structures of P450 are conserved, their recognition sites towards to the substrates are variable. This is also the structural basis for the catalytic diversities of P450 enzymes. Few P450 enzymes from bacteria and fungi can metabolize and degrade xenobiotics such as polycyclic aromatic hydrocarbons, herbicides, and so on. However, these P450 enzymes are less likely be used in practical applications because of their low catalytic activities. In the future, more P450 enzymes with high degradable efficiencies towards xenobiotics are needed to be obtained using multiple omics tools or modifying the existing P450 enzymes, to achieve the bioremediation of the environment. © 2018 Science Press. All rights reserved.     

Part I : <Emphasis Type="Italic">a priori</Emphasis> study of erosion and deposition with large eddy simulation of turbulent flow over multiple 2D sandy Gaussian hills

The micro-scale prediction of sand trapping or take-off over hilly terrains is a crucial issue in semi-arid regions for soil depletion. In this context, large eddy simulations around one or several hills are performed in order to provide statistical parameters to characterize the flow at micro-scales and provide data for mesoscale modelling. We focus on the determination of recirculation zones since they play an important role in solid particle erosion or entrapment. A new wall modeling adapted from Huang et al. (J Turbul 17:1–24, 2016) for rough boundary layers is found to improve the prediction of the recirculation zone length downstream of an isolated hill and is used for all the numerical cases presented here. A geometrical parameterization of the recirculation zones is proposed. When the recirculation region is assumed to have an ellipsoidal shape, the total surface of the recirculation can be obtained from this new parameterization and easily extrapolated to more general dune configurations. Numerical results are compared with experiments performed in our laboratory (Simoëns et al. in Procedia IUTAM 17:110–118, 2015) and good agreement is achieved. We explore general aerodynamic cases deduced from the urban canopy scheme of Oke (Energy Build 11:103–113, 1988). In this scheme the momentum and mass exchange between the upper layer and the space between hills is sorted according to the streamwise hill spacing within three basic cases of skimming, wake or isolated flow. The study of the recirculation zones, the mean velocity and Reynolds stress profiles around an isolated or two consecutive hills with different distances shows that the double hill configuration with 3H separation behaves as much as a whole to the upcoming flow. The vortex formed between the crests does not strongly affect the overall evolution of the outer flow. By an a priori prediction of the preferential zones of erosion and accumulation of fictive particles, it is shown that isolated dunes present more deposition and less erosion than two-hill configurations. The results presented in this study will be discussed in the presence of Lagrangian transport of sand particles above 2D Gaussian hills in future work.     

Rapid dephosphorylation of glyphosate by Cu-catalyzed sulfite oxidation involving sulfate and hydroxyl radicals

Environmental Chemistry Letters - Glyphosate is a broad-spectrum toxic herbicide that has entered the environment. Advanced oxidation processes efficiently remove various persistent organic...     

稻米来源镉对生长期猪的生长特性及不同脏器组织镉蓄积的影响

环境中的镉污染对动植物及人类都带来了极大的危害。目前,多数镉毒理研究关注其无机状态,而来源于稻米的有机态镉的毒害作用报道较少。为评估稻米来源镉对生长期猪的毒性作用,选用初始体重为30 kg左右的健康生长猪28头,随机分为体重无明显差异的2组,即对照组与稻米来源镉组(试验组),研究稻米来源镉对生长期猪(生长及育肥全阶段)的生长特性及不同脏器组织镉蓄积的影响。结果表明,在生长及育肥阶段,试验组与对照组相比:1)生长特性无显著差异(P0.05);2)育肥期组织游离氨基酸含量,除肌肉中的赖氨酸显著降低外(P0.05),血浆、肝脏、肾脏及肌肉中其他游离氨基酸水平均无显著差异(P0.05);3)心脏、肝脏、脾脏、肾脏、肺脏、胃、小肠、大肠、骨骼中镉蓄积量显著增高(P0.05),而肌肉、血液中无显著差异(P0.05),脂肪、皮中未检出镉。日粮使用大比例镉超标稻米后镉在各脏器和组织中的蓄积规律为肾脏肝脏小肠脾肺大肠胃血液骨头心腿肌背肌脂肪、皮。由此可见,镉超标稻米对生长期猪的生长特性未产生显著的影响,稻米来源镉主要蓄积于肝脏和肾脏,而主流食用组织肌肉和血液中镉的蓄积量较少。     

洱海流域湖泊湖滨带福寿螺时空分布

福寿螺是世界100种恶性入侵物种中唯一的水生螺,已对大理及周边地区造成了不可估量的经济损失和生态安全问题。为探究洱海流域湖泊湖滨带福寿螺时空分布及与水环境因子、季节之间的关系,探索福寿螺在大理地区的入侵机制,为大理地区高效防治福寿螺提供建设性建议,并为福寿螺时空分布格局的相关研究积累资料,于2016年冬季和2017年夏季在大理洱海及其上游水源地海西海、西湖、茈碧湖、绿玉池,以及罗时江湿地进行系统抽样,利用统计软件分析福寿螺分布与水质关系,结合GIS,分析福寿螺的时空分布以及潜在入侵危害。结果表明,从空间尺度上,洱海流域福寿螺有进一步扩散的趋势;从时间尺度上,福寿螺的密度随季节性水位的改变而变化;洱海流域的福寿螺分布和水质因子之间基本无相关性。     

基于YanMeng台风风场的输电线路极值风速推算方法

极值风速作为输电线路抗风设计的重要参数,对结构的强度和年限标准意义重大。为克服采用观测资料直接推算极值风速的缺陷,给出了一种沿海地区输电线路极值风速推算的数值方法,即以台风风场物理方程为基础,利用历史台风进行反演,验证风场模型的适应性,随后结合台风年鉴,采用模拟圆和Monte Carlo抽样模拟进行研究点最大风速序列计算,并根据极值III型Weibull分布进行极值风速的推算。最后以海口市为例,对该极值风速推算方法进行详细阐述,推算了海口市近100a内重现期的极值风速,并与观测统计值进行对比,研究发现本文模拟效果较好,可以作为沿海地区输电线路抗风设计的理论参照。     

平缓反倾红层边坡变形破坏机制研究

以赤水市旺隆边坡为工程实例,依据野外调查和地质分析成果建立平缓反倾红层边坡概念模型,并结合离散元数值模拟研究贵州平缓反倾红层边坡的变形破坏机制。结果表明:旺隆边坡是砂泥岩不等厚互层的典型平缓反倾红层边坡,差异风化和降雨是主要的诱发因素。边坡的变形演化过程经历4个阶段:卸荷回弹、浅表生改造局部变形、裂隙扩展延伸、裂隙贯通深部蠕滑。变形破坏机制根据不同变形阶段划分为3种不同形式:压缩—拉裂—倾倒、风化剥落—坠落、蠕滑—压致拉裂。     

格栅加筋废弃钢渣的强度特性试验研究

提出了格栅加筋废弃钢渣的土工回填新技术,通过三轴固结排水试验研究格栅加筋废弃钢渣的抗剪强度特性。以玄武岩纤维格栅和江苏永钢废弃钢渣为例,分析在不同相对密实度、格栅加筋层数和围压下的格栅加筋废弃钢渣的应力应变特性,将格栅加筋废弃钢渣的抗剪强度特性与传统土、特殊土的抗剪强度特性以及前人研究的格栅或格室加筋特殊土的抗剪强度特性进行了比较。结果表明:各工况下的格栅加筋钢渣的黏聚力强度都远大于传统土类,且内摩擦强度也较高,达到砂类的摩擦强度;各工况下的格栅加筋钢渣的黏聚力强度弱于黄土与膨胀土,但其内摩擦强度则高于膨胀土与黄土。表明格栅加筋钢渣在较多工况下比传统土、特殊土以及格栅或格室加筋特殊土拥有更高的抗剪强度特性,可替换砂土应用于软基处理或加筋回填工程中。     

基于HCNAM-BN的化工过程爆炸事故致因链分析

为了从源头上预防化工过程爆炸事故,依据风险耦合理论,探讨了各风险因子非线性耦合演化为爆炸事故的机理,构建了层次耦合网络分析模型（HCNAM）;从多因素风险耦合角度分析了国内外44起典型化工过程爆炸事故,统计了各风险因子之间的耦合概率并进行了耦合致因重要度分级;采用耦合概率与二态分布相结合的条件概率分布,将层次耦合网络分析模型转化为贝叶斯网络,并对氯乙烯单体槽爆炸性混合气体爆炸事故进行了应用研究。结果表明:91种双因子耦合风险状态中,47种呈现弱耦合致因特性;7种因子双耦合形成风险的概率较大;基于HCNAM-BN模型分析事故,可有效辨识事故最可能致因因素,获取各事故致因链的发生概率并确定事故网络关键节点。     

上海市碳排放强度的影响因素解析

采用对数均值迪氏分解（LMDI）法对1995—2008年上海市碳排放强度进行分解分析. 结果表明,产业部门能源强度的下降是上海市碳排放强度下降的主要原因,贡献率为67.6%. 进一步分析显示,上海市能源强度的下降主要来源于第二产业,但由于传统的工业节能改造的潜力有限,近年来工业能源强度下降的速度逐渐放缓,其对碳强度减排的贡献趋于减少. 能源结构和产业结构的调整是碳排放强度下降的次要原因,贡献率分别为18.2%和14.2%. 但是能源结构和产业结构仍然存在较大的调整空间,这2个因素有望对碳排放强度的下降作出持久的贡献.