Fenton试剂对久效磷的降解实验研究

初步研究了Fenton试剂对久效磷的降解,分析了H2O2浓度、温度、反应时间、pH值和Fe2 浓度这5个因素对COD去除率的影响。实验结果表明,250 mL水样中3.75×10-4mol的久效磷在Fe2 浓度为0.5 mmol/L,pH=3,H2O2浓度为0.19 mol/L,T=70℃的条件下,Fenton试剂在1 h内COD去除率为60%,3 h内COD去除率为90%,8 h内COD去除率为100%。GC-MS测试结果表明,Fenton试剂对250 mL水样中3.75×10-4mol的久效磷5 min可降解81%,30 min降解100%。根据反应速率常数拟合得出该反应符合准一级反应,反应速率常数k=0.655 6 h-1。实验还发现了Cu2 对Fenton试剂有很强的协同催化作用,体系中Cu2 浓度为1.0×10-5mol/L时,Fenton试剂在5 h内对相同水样中COD去除率为101%。     

海洋假单胞菌纤溶酶的酶学性质的研究

从一株海洋假单胞菌中分离制备出一种具有纤溶活性的酶 ,对其酶学性质进行实验研究结果显示 :该酶的分子量是 2 1k D,等电点是 7.4～ 7.5 ;最适作用 p H是 8.0 ,最适作用温度是 5 0℃。该酶具有降解苯甲酰 - L -精氨酸乙酯盐酸盐 (BAEE)的活性 ,酶的动力学分析表明 :Km =0 .87mmol/ L,Vmax=1.80× 10 -3 mmol/ L s-1。     

流动注射Ferene分光光度法测定海水中溶解态铁的方法优化

热液流体中溶解态铁是海水原位测量的重要参数之一。本研究采用Ferene分光光度法,搭建流动注射分析系统,优化进样条件、显色条件,实现了热液流体中溶解态铁的在线测定。结果表明,测定Fe(II)时,Ferene、缓冲液浓度分别为8×10–3、0.4 mol/L,Ferene、样品流速分别为0.8、0.6 m L/min,显色盘管长度为40 cm时,方法的灵敏度、检测限最佳;测定Fe(III)时,Ferene、缓冲液、抗坏血酸浓度分别为1×10–2、0.5、0.01 mol/L,Ferene/抗坏血酸、样品流速均为1.0 m L/min,还原、显色盘管长度均为40 cm时,方法的灵敏度、检测限最佳。最佳实验条件下,Fe(II)、Fe(III)在0.2~10μmol/L和0.5~16μmol/L范围内,工作曲线回归方程分别为A=0.0834 C+0.0564(μmol/L,n=8,R2=0.997)和A=0.0478C+0.0423(μmol/L,n=8,R2=0.997)。Fe(II)、Fe(III)检测限分别为24、39 nmol/L,相对标准偏差分别为0.8%、1.2%(n=10),加标回收率为97.9%~103.0%。共存离子实验表明,流体中的Na+、Mn2+、Cu2+、Cu+不会对测量造成干扰。     

光助Fenton氧化法去除水中两种氯乙酸及其动力学研究

以二氯乙酸和三氯乙酸为目标污染物,研究了光助Fenton氧化去除水中卤乙酸的可行性及影响因素,并对其动力学进行了初步研究.结果表明,影响光助Fenton氧化的因素很多,氙灯功率500 W、H2O2和Fe2+投加量分别为5.0和1.0 mmol·L-1、pH=4.0反应60 min是所考察范围内的最佳降解条件,浓度为100 μg·L-1的二氯乙酸和三氯乙酸的降解率分别为90.32％、87.77％;在实际水质pH=7.0时,相同浓度的二氯乙酸和三氯乙酸的降解率分别为75.34％、68.80％.紫外辐射与Fenton氧化对二氯乙酸和三氯乙酸的降解具有协同效应.光助Fenton氧化对二氯乙酸和三氯乙酸的降解符合一级反应动力学,表观活化能分别为30.11、31.09 kJ·mo1-1,受温度影响不大.     

差分方程的振动性(英文)

作者研究差分方程Δnx (t) + p (t)Δn-1x(t) + H (t,x(g(t) ) ) =0 ,其中　 P∶ D→ R,H∶ D×R→ R,0≤ p (t)≤ 1,g∶ D→ D,limt→∞t∈ Dg(t) =∞ ,D={ t0 ,t0 + 1,t0 + 2 ,… } .得到保证这个方程的一切解都振动的若干充分条件     

分步电泳法检测古糖酯

应用分步电泳法检测水溶液和大鼠尿液中的古糖酯 (Propyleneglucol Guluronate SodiumSulfate,PGSS) .该醋酸纤维膜电泳选用两种电泳液 :(1) 0 .1mol· L-1的醋酸锌溶液 ,p H6 .0 ;(2 )1.0 mol· L-1的醋酸钡溶液 ,p H5.0。电泳膜于 0 .5%阿利辛兰水溶液中染色 ,1%醋酸溶液褪色。该法能够检测不同介质中的古糖酯 ,水溶液中的检测下限为电泳膜上加样 10 0 ng,尿液中古糖酯浓度高于 50 0 ng/ m L,经提取可以用此法测得。实验证实该法灵敏、稳定性高、重现性好。     

斜带髭鲷幼鱼生长和生态转换效率的研究

在实验室内, 22. 5±0. 5℃条件下以去头去骨去鳞片去皮的金色小沙丁鱼的纯肉糜为饵料饲养斜带髭鲷幼鱼,测定体重范围在 4. 6~6. 5g的斜带髭鲷的体重、体长的生长曲线及其生态转换效率和特定生长率.实验结果表明,斜带髭鲷的体重、体长在实验期间直线增长,体重、体长的生长曲线分别为Wt(w.w.湿重,下同 ) =0. 391 7t 5. 766 2(R=0. 999 6)和Lt=0. 105t 6. 265(R=0. 989 9).用胃含物法测定斜带髭鲷的胃排空率、日摄食量、日生长量、生态转换效率和特定生长率.实验得到斜带髭鲷消化道的瞬时排空率Rt= 1. 23 4×10-3 (m/m) /h,日摄食量Cd= 1. 342 9g(w.w. ),生态转换效率Eg=29. 50% ±2. 77% [m/m(w.w. ) ],特定生长率SGR=4. 71%±0. 69% [m/m(w.w. ) ].     

海带岩藻聚糖硫酸酯测定方法的研究

应用次甲基蓝分光光度法测定溶液中岩藻聚糖硫酸酯的含量 ,有色化合物的最大吸收波长为 5 6 0 nm ,在 4～ 2 0μg/ m L内线性良好 (r=0 .999) ,回收率为 (96 .2 7± 1.6 6 ) %。在测定过程中 ,无机盐影响较大 ,蛋白质影响很小 ,而 p H值、其它糖没有影响 ,PBS(磷酸盐缓冲液 )能完全消除褐藻胶对测定的影响。实验证明 ,该方法准确、快速、灵敏度高。     

无机胶体和铁、铜离子对中肋骨条藻生长的影响

选择无机胶体粒子Fe(OH) 3 胶体、伊利石胶体及其与金属铁和铜 ,对中肋骨条藻进行了培养实验。结果表明 :在培养介质中加入Fe(OH) 3 胶体后 ,在低添加量时可通过Fe(OH) 3 胶体提供满足微藻的生长所需的铁 ,从而提高其生长速度。但在较高添加量时 (>0 .5mg/L) ,由于胶体物质的吸附特性 ,微藻的生长受到抑制。Fe(OH) 3 对中肋骨条藻的最佳的添加量在 0 .2 5～ 0 .5 0mg/L之间。中肋骨条藻在加入伊利石胶体液时 ,微藻的生长均产生明显的抑制作用。通过伊利石胶体对培养介质中铁离子和铜离子浓度的调节控制作用 ,可直接影响到中肋骨条藻的生长。     

铁及超声辅助铁还原降解水中氯乙酸及其动力学研究

以二氯乙酸(DCAA)和三氯乙酸(TCAA)为目标污染物,研究了铁(Fe0)和超声辅助铁(US-Fe0)还原降解水溶液中氯乙酸,以及溶液初始pH值、Fe0投加量、反应温度、反应时间、氯乙酸初始浓度对降解率的影响,并对降解的动力学进行了初步研究。结果表明,Fe0还原氯乙酸的最佳条件是:pH值为4.0、铁投加量为4g·L-1,室温条件下反应16h。超声辅助对Fe0还原水中氯乙酸的反应具有显著促进作用。在初始浓度为50μg·L-1时,US-Fe0还原降解DCAA和TCAA的降解率分别为87.3%和82.0%。Fe0和US-Fe0还原降解氯乙酸均符合准一级反应动力学(对氯乙酸),降解的表观速率常数分别为1.03×10-3 s-1(Fe0还原DCAA)、5.70×10-3 s-1(US-Fe0还原DCAA)和5.63×10-4 s-1(Fe0还原TCAA)、2.58×10-3 s-1(US-Fe0还原TCAA)。TCAA脱氯生成DCAA是降解的速率控制步骤。     

纤维素酶-过氧化氢降解法制备低聚壳聚糖的研究

利用纤维素酶-H2O2降解法制备低分子量壳聚糖，分别研究了pH值、温度、酶浓度、H2O2加入量及反应时间等因素对产品的收率及平均分子量的影响。结果 表明最佳反应条件为：pH为5．6、酶／糖为0．1、反应温度为54℃、反应时间为6h。在反应结束前0.5h加入一定量H2O2进行氧化降解可以得到平均分子量为1500的低聚壳聚糖。而且由于H2O2的作用产物的颜色较浅。     

坛紫菜（Porphyra haitanensis）丝状藻体生长增殖的优化调控培养条件研究

丝状藻体是紫菜生活史中的重要阶段,其生长增殖与环境条件密切相关.本研究考察了与坛紫菜丝状藻体生长增殖相关的多个影响因子,探讨了可促进坛紫菜丝状藻体生长、达到生长速率快的优化调控培养条件.具体操作实施过程为：初始丝状藻体来自成熟紫菜叶状体的果孢子释放,基于8因子3水平的正交实验设计方案[采用正交表L27（313）],确定了丝状藻体生长对多个环境因子的响应以及优化的调控培养条件.结果表明,除开pH、复合维生素浓度和NaHCO3浓度外,其他因子对丝状藻体生长均有显著的影响（p≤0.043 8）.获得的优化调控培养条件为：温度18℃、光强27μmol/m2·s-1、盐度25、pH值8.5、复合维生素浓度15μg/dm3、NaHCO3浓度2 mg/dm3、每天光照时数18 h、营养液浓度为f培养介质.优化调控培养条件下的丝状藻体生长速率高达12.07%,平均值±标准偏差SD为（10.70±0.88）%/d.     

海洋微藻高度不饱和脂肪酸的硏究 Ⅱ.环境因子对球等鞭金藻3011中高度不饱和脂肪酸含量的影响

微藻在不同培养条件下,藻体中脂类和高度不饱和脂肪酸(PUFA)的含量及种类可发生很大变化。因此,研究不同培养条件对其含量的影响,以期寻找既能促进藻类较快生长,又能使其体内PUFA含量较高的培养条件,对于促进水产养殖的发展,乃至使其成为生产EPA和DHA的工业原料,无疑都具有重要的意义。 在系列研究I中我们报告了我国沿海水产养殖中常用的7种微藻的脂类和脂肪酸组成,在其基础上,我们选择了脂肪和DHA含量比较高的球等鞭金藻3011(Isochrysis galbana),用不同的营养液、并在不同的生长期、温度、盐度等条件下,对其进行培养,分析藻体中PUFA含量的变化,以便更好地提高其营养价值和利用率,同时探讨用其作为生产PUFA的工业原料的可能性。     

太平洋深海沉积物来源的菌株Tenacibaculum sp.HMG1对孔雀石绿降解特性的研究

本文在太平洋深海沉积物中分离得到一株孔雀石绿降解菌株，鉴定命名为Tenacibaculum sp.HMG1。通过菌株生长实验和高效液相色谱的研究表明， HMG1菌株可以在20 mg/L的孔雀石绿中维持较快的生长速率，并且在12 h内可降解98.8%的孔雀石绿，这证明该菌株具有很高的孔雀石绿耐受能力和降解活性。通过基因组测序在HMG1菌株发现一条过氧化物酶基因可能参与了孔雀石绿的降解，随后利用原核表达获得了相应的重组蛋白。实验表明，该重组过氧化物酶具有极强的活性，可在1000 mg/L的孔雀石绿中发挥降解功能。本文利用液相色谱-质谱联用（LC-MS）技术对孔雀石绿的菌株降解产物和重组酶降解产物进行鉴定，并基于鉴定结果推测了两种降解途径。结果发现两种降解方式存在共同的降解途径。此外，孔雀石绿降解条件的实验结果证明重组过氧化物酶可以在低温（20℃）、复杂的pH值（6.0–9.0）、高盐度（100 mmol/L）、金属离子和EDTA等反应条件下依旧维持很高的孔雀石绿降解活性。以上实验结果表明，HMG1菌株和重组过氧化物酶均在孔雀石绿污染生物修复方面具有很大潜力。     

安络小皮伞［Marasmius androsaceus （L：Fr）Fr］中水溶性多糖的研究Ⅳ总糖及糖蛋白的分布、分级与测定

用水提取的安络小皮伞的多糖．经醇析．真空干燥后，用ｓｅｐｈａｒｏｓｅ４Ｂ柱层析，酚一Ｈ２ＳＯ４法检测其多糖分布，紫外吸收法（２８０ｎｎ）检测其蛋白质分布，表明提取物为多糖和糖蛋白的混合物，总糖含量为３０．５％。ｌｏｒｒｙ法和克氏定氮法测定蛋白质含量１５％。采用Ｐ．Ｃ和Ｇ．Ｃ法测定，结果提取物中的多糖由三种中性单糖组成．其摩尔比为：ＧＬＣ：Ｍａｎ，ＦＵＣ＝１．２：３：１．７。用Ｆｅｈｌｉｎｇ试剂法测定，表明混合物中有甘露聚精。Ｆｅｌｌｌｉｎｇ试剂法与甲醇、乙醇分级法相结合，从提取物中分出六个糖蛋白级分：Ｆｐ１、Ｆｐ２、Ｆｓ１、Ｆｓ２、Ｆｓ３和Ｆｓ４，其中Ｆｐ１、Ｆｓ１和Ｆｓ３经ｓｅｐｈａｒｏｓｅ４Ｂ柱测定为多糖分子量单一的级分。     

Impact of environmental factors on in situ determination of iron in seawater by flow injection analysis

A sensitive method for iron determination in seawater has been adapted on a submersible chemical analyser for in situ measurements. The technique is based on flow injection analysis (FIA) coupled with spectrophotometric detection. When direct injection of seawater was used, the detection limit was 1.6 nM, and the precision 7%, for a triplicate injection of a 4 nM standard. At low iron concentrations, on line preconcentration using a column filled with 8-hydroxyquinoline (8HQ) resin was used. The detection limit was 0.15 nM (time of preconcentration = 240 s), and the precision 6%, for a triplicate determination of a 1 nM standard, allowing the determination of Fe in most of the oceanic regimes, except the most depleted surface waters. The effect of temperature, pressure, salinity, copper, manganese, and iron speciation on the response of the analyser was investigated. The slope of the calibration curves followed a linear relation as a function of pressure (C_p = 2.8 × 10^{− 5}P + 3.4 × 10^{− 2} s nmol^{− 1}, R² = 0.997, for Θ = 13 °C) and an exponential relation as a function of temperature (C_Θ = 0.009e^0.103Θ, R² = 0.832, for P = 3 bar). No statistical difference at 95% confidence level was observed for samples of different salinities (S = 0, 20, 35). Only very high concentration of copper (1000 × [Fe]) produced a detectable interference. The chemical analyser was deployed in the coastal environment of the Bay of Brest to investigate the effect of iron speciation on the response of the analyser. Direct injection was used and seawater samples were acidified on line for 80 s. Dissolved iron (DFe, filtered seawater (0.4 μm), acidified and stored at pH 1.8) corresponded to 29 ± 4% of Fe_a (unfiltered seawater, acidified in line at pH 1.8 for 80 s). Most of Fe_a (71 ± 4%) was probably a fraction of total dissolvable iron (TDFe, unfiltered seawater, acidified and stored at pH 1.8).     

Comparison of sampling devices for the determination of polychlorinated biphenyls in the sea surface microlayer

Over 30 sea surface microlayer (SML) samples from two contrasting sites in the North Western Mediterranean -- Barcelona (Spain) and Banyuls-sur-Mer (France) -- were collected using three different sampling devices, namely, glass plate, metal screen (MS) and a surface slick sampler (SS), and compared with the corresponding underlying water (16 samples). The distributions of 41 polychlorinated biphenyl congeners (PCBs) were determined in the different phases: particulate (1.17-10.8 SigmaPCB ng L(-1)), truly dissolved (0.080-16.7 SigmaPCB ng L(-1)) and colloidal matter (1.17-43.0 SigmaPCB ng L(-1)), being the last two estimated from the analysis of the apparently dissolved phase. Concentrations of PCBs in the SML were higher than those in the underlying water (ULW), giving rise to enrichment factors (EF=[C](SML)/[C](ULW)) up to first-order of magnitude. The ANOVA statistical approach was used to assess differences of bulk data (e.g. dissolved organic carbon, DOC; particulate organic carbon, POC; suspended particulate matter, SPM) among sampling devices, whilst p-tailed t paired tests were used in order to compare the enrichments obtained for each sampling date. In this respect, no significantly different enrichment factors were found among sampling devices (p < 0.05), although the surface SS showed lower enrichments, probably due to the dilution of the SML with the ULW during sampling. The MS seemed to be the most suitable device for the determination of PCBs in the SML in terms of sampling efficiency under a variety of meteorological conditions.     

Estimating relative abundance of juvenile brown trout in rivers by underwater census and electrofishing

Underwater census and single‐pass electrofishing were compared for estimating relative abundance of juvenile brown trout in the Kakanui River, South Island, NZ. Mean sampling efficiency was lower, and the variability of sampling efficiency was much greater, for underwater census (0+ trout: x = 0.38, s = 0.368; 1+ trout: x = 0.62, s = 0.822) than for single‐pass electrofishing (0+ trout: x = 0.61, s = 0.143; 1+ trout: x = 0.74, s = 0.171). Sampling efficiency of both methods was dependent on temperature. Electrofishing became less efficient at higher temperatures whereas underwater census became less efficient at colder temperatures. The low, and highly variable, sampling efficiency for underwater census of 0+ brown trout was related to substrate hiding behaviour which is dependent on temperature. A ratio method for comparing relative abundance estimates is presented. Minimum significance values for the ratio (R) were derived for 0+ trout using temperature adjusted sampling efficiencies. To be statistically significant, relative abundance estimates made by underwater census had to differ by a factor of 6–7 times, whereas those made by single‐pass electrofishing had to differ only by about 2 times, depending on the number of fish counted. By confining comparisons of relative abundance estimates made by underwater census to the summer period, differences of about 3.5–4 times could be detected statistically. It was concluded that single‐pass electrofishing is superior to underwater census for estimating the relative abundance of juvenile brown trout in shallow (< 1 m) river habitat, especially when temperature varies widely as with season and time of day.