化学需氧量(COD)测定的绿色化教学实验方案与实践

在以邻苯二甲酸氢钾配制的水样作为测定COD水样，以及硫酸铁代替硫酸汞的条件下，通过对水样体积、重铬酸钾溶液的体积、浓硫酸用量以及加热回流时间等几方面因素的讨论，设计出适合COD测定教学实验的实验方案。采用该实验方案不仅能够很好地达到实验教学的目的，而且可以减少有毒有害废液的产生和排放。该实验方案可以作为COD测定的绿色化教学实验推广应用。     

基于荧光多光谱融合的水质化学需氧量的检测

为了对水中的有机污染物进行绿色、快速、准确的检测，提出了一种基于荧光多光谱融合的水质化学需氧量(Chemical Oxygen Demand, COD)的检测方法。实验样本为包含近岸海水和地表水在内的实际水样53份，采用标准化学方法获取样本的化学需氧量的理化值，利用荧光分光光度计采集样本的三维荧光光谱并对光谱数据进行处理和建模。在200～300 nm(间隔5 nm)的激发波长范围内将三维光谱展开成二维的发射光谱(发射波长范围250～500 nm，间隔2 nm)。采用ACO-iPLS(蚁群-区间偏最小二乘)算法提取发射光谱特征，PSO-LSSVM(粒子群优化的最小二乘支持向量机)算法建立预测模型，分别建立了单激发波长下的荧光发射光谱数据预测模型、多激发波长下发射光谱的数据级融合(LLDF)预测模型以及多激发波长下发射光谱的特征级融合(MLDF)预测模型，通过对预测效果的对比，得出结论。实验结果表明，对于不同激发波长下荧光发射光谱数据而言，265 nm激发光作用下的发射谱数据的预测模型最优，其检验集决定系数R2_P和外部检验均方根误差RMSEP分别为0.990 1和1.198 6 mg·L-1；对于荧光多光谱数据级融合模型(简写为：LLDF-PSO-LSSVM)而言，在235，265和290 nm激发光作用下的发射光谱的LLDF模型效果最优，其检验集的R2_ｐ和RMSEP分别为0.992 2和1.055 1 mg·L-1；对于荧光多光谱特征级融合模型(MLDF-PSO-LSSVM)而言，在265，290和305 nm激发光作用下的荧光发射光谱的MLDF模型效果最优，其R2_p=0.998 2，RMSEP=0.534 2 mg·L-1。综合比较各类建模结果可知，MLDF-PSO-LSSVM的模型效果最优，说明基于荧光发射光谱数据，采用多光谱特征级融合模型检测水质COD时，检测的精度更高，预测效果更好。     

Effects of ultrasound on Microcystis aeruginosa cell destruction and release of intracellular organic matter

Harmful algal blooms negatively impact ecosystems and threaten drinking water sources. One potential method to effectively counteract algal blooms is ultrasonication. However, ultrasonication can easily lead to the release of intracellular organic matter (IOM). The purpose of this study was to investigate the relationship between the destruction of algal cells and IOM release at different ultrasound frequencies. Microcystis aeruginosa cells were ultrasonicated at 20 kHz with an intensity of 0.038 W/mL, 740 kHz with an intensity of 0.113 W/mL, and 1120 kHz with an intensity of 0.108 W/mL. The IOM release was detected by fluorescence spectroscopy in addition to the more commonly used haemocytometry and optical density. After ultrasonication for 15 min, the removal rate of algal cells reached 10.5% at 20 kHz, 9.46% at 740 kHz, and 35.4% at 1120 kHz. The 20 kHz and 740 kHz ultrasound caused local damage to algal cells and then disrupted them, whereas the 1120 kHz ultrasound directly disrupted most algal cells. The extracellular organic matter (EOM), which was increased by ultrasonication, mainly consisted of protein-like compounds, chlorophyll, and a small amount of humic-like substances. Gas vacuoles had been destructed before the cells were broken, as indicated by the decrease of cell size and the wrinkles on the cell surface. Moreover, the removal of algae cells while upholding integrity is more conducive to the safety of the water environment.     

Label-free immunosensor for monitoring vitellogenin as a biomarker for exogenous oestrogen compounds in amphibian species

A label-free, optical waveguide lightmode spectroscopy based immunosensor was developed for frog (Bombina orientalis) vitellogenin (Vtg) determination in biological samples as a biomarker for exogenous oestrogen compounds. Antibody against Vtg was produced in rabbits immunised with purified lipovitellin (Lpv), a precursor of Vtg, from the homogenised ovary of oriental fire-bellied toads (B. orientalis). The purified protein and Lpv/Vtg-specific serum were applied in both competitive and direct immunoassay formats using optical waveguide lightmode spectroscopy immunosensor. When measuring Vtg in direct manner, the Lpv antibody (1.76 µg mL^?1) was immobilised on the sensor surface, and the linear measuring range for Vtg was 0.1–10 µg mL^?1. During the competitive measurement, 100 ng mL^?1 Lpv was applied for the immobilisation. The linear measuring range for Vtg was 0.5–50 ng mL^?1. We studied the relative substrate specificity of the antibody, and it was concluded that the method is suitable for the sensitive and selective determination of Vtg levels in toads. Heart, liver and gonad samples from male animals were spiked with Vtg and were analysed using the newly developed method, and female toads and spawn samples were tested and compared to the calibration curve obtained by the spiked samples.     

运用系统动力学模型预测稀土战略储备规模

基于全球稀土资源的供需形势和中国稀土资源减少的趋势,运用系统动力学的模型来预测未来17年我国稀土资源储备量。选取了2000~2013的生产和消费数据,通过定量模拟计算中国稀土供需差波动系数,设计了稀土资源供需差波动范围分别为0%,20%的两个方案,模拟计算了两个方案的年储备量、累计储备量和储备量绝对值。方案一范围是(-0%,+0%),仿真预测出稀土未来17年累积储备量为720551 t,即战略储备规模达到720551 t,该方案下不论供需差发生如何波动,国家都会进行储备或释放调节;方案二范围是(-20%,+20%),预测出未来17年战略储备规模为461331 t,国家只需在这个范围外进行收储释放调节,从而调节市场供求,降低价格波动幅度。本文从不同供需差的波动系数来模拟计算储备量,目的是为国家相关部门在进行稀土储备决策时提供参考,可以根据我国经济景气状况和供需形势,以及稀土产业发展状况,进行不同规模的稀土储备。     

Amide Moieties Modulate the Antimicrobial Activities of Conjugated Oligoelectrolytes against Gram-negative Bacteria

Cationic conjugated oligoelectrolytes (COEs) are a class of compounds that can be tailored to achieve relevant in vitro antimicrobial properties with relatively low cytotoxicity against mammalian cells. Three distyrylbenzene-based COEs were designed containing amide functional groups on the side chains. Their properties were compared to two representative COEs with only quaternary ammonium groups. The optimal compound, COE2−3C−C3-Apropyl , has an antimicrobial efficacy against Escherichia coli with an MIC=2 μg mL⁻¹, even in the presence of human serum albumin low cytotoxicity (IC₅₀=740 μg mL⁻¹) and minimal hemolytic activity. Moreover, we find that amide groups increase interactions between COEs and a bacterial lipid mimic based on calcein leakage assay and allow COEs to readily permeabilize the cytoplasmic membrane of E. coli. These findings suggest that hydrogen bond forming moieties can be further applied in the molecular design of antimicrobial COEs to further improve their selectivity towards bacteria.     

不确定需求与产出供应链回购契约决策

针对市场需求的不确定性和供应商产出产品合格率的不确定性,提出供应商产出量小于销售商订购量时需再生产满足销售商的订购,以及供应商生产过量和回购的产品通过折扣市场出售,建立以供应链期望利润为目标函数,以回购单价为决策变量的供应链回购契约决策模型.通过模型的分析,证明了模型存在最优的期望利润,给出了最优回购单价满足的方程;同时,也证明了最优订购量,最优生产量和销售商最优期望利润是回购单价的增函数.最后,通过算例验证了模型的有效性.     

数量折扣契约下基于成本分担的供应链突发事件协调应对

突发事件会增加供应链成本,如何进行成本分担是决定供应链能否协调应对突发事件的重要因素.用参数分别描述市场需求剧增时增加的生产成本和市场需求剧减时发生的多余产品处理成本,在数量折扣契约基础上,研究突发事件发生后制造商的最优批发价格和零售商的最优订货量,分析其影响因素比较突发事件发生前后包括市场剧增与市场剧减两种情况下的差异,并给出了数值算例.结果表明,成本分担系数和市场需求分布及其变化都会影响最优批发价格和最优订货量,只要根据市场需求变化相应调整契约参数并合理分担由突发事件增加的成本,通过数量折扣契约供应链就能够协调应对突发事件.     

基于向后逐步回归模型的我国农机需求特征及影响因素研究

以2004-2014年数据为样本,以农机总动力为因变量,以农机购置补贴、农机价格、农机作业服务价格、农户人均纯收入、农产品价格、农业劳动力数量和农作物播种总面积为自变量构建了我国农机需求影响因素的回归方程,向后逐步回归结果表明:(1)除农作物播种总面积、农机作业服务价格、农产品价格之外,其余变量对农机总动力的影响均统计上显著;(2)农机购置补贴、农机价格指数、农户人均纯收入及农业劳动力四个变量对农机需求的弹性系数分别为0.027、-0.004、0.457、0.474。最后根据研究结果提出加大与落实农机购置补贴、规范农机价格、培育新型经营主体、加速土地规范流转等政策建议。