三氯乙烯好氧生物降解的初步研究

工业溶剂三氯乙烯 (TCE)是地下水污染物中发现的最普遍的氯代化合物。本研究的目的是评价以葡萄糖为初始基质时好氧条件下TCE生物降解的可行性 ,以及以TCE为单一基质时的生物降解情况。微生物培养是在好氧条件下以驯化好的活性污泥作为接种体。实验结果表明 ,在 2 5℃时 ,葡萄糖可以在好氧条件下作为共代谢基质使TCE发生生物降解 ,其一级反应速率常数为 0 32 12d-1,半衰期为 2 16d ;TCE可以作为单一基质发生好氧生物转化 ,其一级反应速率常数为 0 2 6 2 4d-1,半衰期为 2 6 4d ;降解过程中无二氯乙烯 (DCE)和氯乙烯 (VC)等中间产物的形成 ;表明葡萄糖共代谢降解TCE的速率大于TCE作为单一基质的降解速率。     

三氯乙烯好氧生物降解的初步研究

工业溶剂三氯乙烯(TCE)是地下水污染物中发现的最普遍的氯代化合物。本研究的目的是评价以葡萄糖为初始基质时好氧条件下TCE生物降解的可行性，以及以TCE为单一基质时的生物降解情况。微生物培养是在好氧条件下以驯化好的活性污泥作为接种体。实验结果表明，在25℃时，葡萄糖可以在好氧条件下作为共代谢基质使TCE发生生物降解，其一级反应速率常数为0．3212d^-1，半衰期为2．16d；TCE可以作为单一基质发生好氧生物转化，其一级反应速率常数为0．2624d^-1，半衰期为2．64d；降解过程中无二氯乙烯(DCE)和氯乙烯(VC)等中间产物的形成；表明葡萄糖共代谢降解TCE的速率大于TCE作为单一基质的降解速率。     

硫酸盐还原条件下三氯乙烯的降解研究

三氯乙烯(TCE)是地下水和土壤中主要的有机污染物之一.以受TCE等氯代烃严重污染的地下泥样为材料,采用室内模拟的方法.研究硫酸盐初始质量浓度为100、500、2 500 mg/L时.硫酸盐对TCE降解的影响.结果表明.高浓度硫酸盐更有利于TCE的降解;在硫酸盐还原条件下,通过添加2-溴乙基磺酸钠抑制产甲烷菌.发现产甲烷菌在TCE的降解过程中起到很重要的作用;硫酸盐浓度变化与TCE降解趋势一致.     

三氯乙烯在苯酚菌中的共代谢降解性能研究

通过生物降解实验考察三氯乙烯(TCE)在苯酚驯化微生物中的共代谢降解性能,并进行动力学分析。结果表明,苯酚是TCE-苯酚共代谢过程必不可少的共代谢基质;TCE的共代谢降解与苯酚和TCE初始浓度有关。TCE在降解初期会出现一个短暂的迟滞期,TCE的大量降解要在苯酚被利用后才发生;高质量浓度TCE(>9mg/L)对共代谢降解有抑制作用。苯酚/TCE(质量比)在10～15以上时,苯酚菌对TCE的去除率较大。Haldane模型能够很好地拟合苯酚和TCE的比降解速率。动力学分析表明,微生物对苯酚的亲和力要大于TCE,苯酚对TCE共降解具有竞争性抑制作用,TCE对微生物存在毒性抑制作用;结果证实了生物降解实验的结论。     

酸性媒介黄GG生物降解性能的试验研究

通过试验研究酸性媒介黄GG染料在厌氧、好氧条件下的生物降解机理、降解能力及共代谢降解效果.试验结果表明,厌氧菌能够通过葡萄糖共代谢作用很快降解酸性媒介黄GG;而好氧条件下经驯化活性污泥不能降解酸性媒介黄GG,经过较长时间驯化活性污泥能降解酸性媒介黄GG,但降解效果很差.葡萄糖浓度的升高对提高酸性媒介黄GG厌氧生物降解率有利,当葡萄糖浓度为2000 mg/L时,40mg/L酸性媒介黄GG的12和60 h厌氧生物降解率分别达到81.5%和93.5%.酸性媒介黄GG浓度对厌氧菌的生物降解能力也有影响.当葡萄糖浓度为2000 mg/L,酸性媒介黄GG(浓度为20～100 mg/L)的厌氧降解率最好,降解效率达到了94%,说明厌氧菌对酸性媒介黄GG的降解能力较好.     

松树皮在厌氧渗透性反应墙中对地下水的脱氧效果的影响

四氯乙烯(PCE)、三氯乙烯(TCE)等氯化溶剂常被看作地下水中的主要污染物质,针对该类典型污染物,厌氧脱氯渗透性反应墙的应用引起了较多关注。在渗透性反应墙中,微生物消耗地下水中的溶解氧,为后续生物厌氧脱氯提供高还原性环境。树皮填料水解后,同时为好氧微生物消氧气及降解氯化乙烯污染物提供电子,而好氧微生物电子消耗量远高于生物脱氯。研究解释了不同环境下松树皮对好养微生物脱氧作用的维持能力,得到松树皮的耗氧容量为31.2 mg·g~(-1),并证明了不同环境条件会改变反应墙对地下水脱氧反应的速率。     

酸性媒介黄GG生物降解性能的试验研究

通过试验研究酸性媒介黄GG染料在厌氧、好氧条件下的生物降解机理、降解能力及共代谢降解效果。试验结果表明，厌氧菌能够通过葡萄糖共代谢作用很快降解酸性媒介黄GG；而好氧条件下经驯化活性污泥不能降解酸性媒介黄GG，经过较长时间驯化活性污泥能降解酸性媒介黄GG，但降解效果很差。葡萄糖浓度的升高对提高酸性媒介黄GG厌氧生物降解率有利，当葡萄糖浓度为2000mg／L时，40mg／L酸性媒介黄GC的12和60h厌氧生物降解率分别达到81．5％和93．5％。酸性媒介黄GG浓度对厌氧菌的生物降解能力也有影响。当葡萄糖浓度为2000mg／L，酸性媒介黄GG（浓度为20～100mg／L）的厌氧降解率最好，降解效率达到了94％，说明厌氧菌对酸性媒介黄GG的降解能力较好。     

柠檬酸强化纳米零价铁活化过硫酸钠体系降解水溶液中的三氯乙烯

采用螯合剂柠檬酸(CA)强化纳米零价铁(nZVI),活化过硫酸钠(PS)体系,降解水溶液中的三氯乙烯(TCE),分别考察了PS、CA、nZVI投加量、溶液初始pH和无机阴离子对TCE降解效果的影响,确定了在TCE降解过程中起主导作用的活性氧自由基,并验证了PS/nZVI/CA体系降解实际地下水中TCE的效果。结果表明:投加适量的CA可以明显提高PS/nZVI体系对TCE的降解效果,但当CA浓度过高时,TCE降解反而受到抑制,过量或不足的PS、nZVI均会降低TCE的降解率;当溶液初始pH为3～9时,PS/nZVI/CA体系可有效降解TCE;溶液中存在的Cl–和HCO_3~-会抑制TCE的降解,其中HCO_3~-的抑制作用大于Cl–;自由基清除实验和电子顺磁共振实验表明PS/nZVI/CA体系中产生了HO·、SO_4~-·和O _2~-·活性氧自由基,其中HO·、SO_4~-·对TCE降解起主导作用;CA的加入有利于实际地下水中TCE的降解,PS/nZVI/CA体系相比PS/nZVI体系,更适应实际地下水中各种水质条件的冲击,具有实际应用前景。     

假单胞菌好氧降解四溴双酚A的特性

为了解四溴双酚A(TBBPA)的好氧降解特性,采用选择富集法从活性污泥中分离出一株能够高效降解四溴双酚A的菌株。根据其形态、生理生化特性及16S rDNA核苷酸序列分析,该菌株被鉴定为假单胞菌属(Pseudomonas sp.)。研究结果表明,该菌株可通过好氧共代谢方式实现四溴双酚A的降解,葡萄糖是四溴双酚A降解的最佳碳源,其最优降解条件为葡萄糖8 g/L,牛肉膏0.5 g/L,pH值为7.0,培养温度为35℃,摇床转速为150 r/min。在该条件下其生物降解过程符合一级动力学模型,6 d后的降解率高达95.6%。LC-MS结果表明,四溴双酚A在好氧降解过程中会生成异丙苯酚类物质。     

石油污染土壤中高效石油烃降解菌Y-16的筛选及其降解性能

通过富集和驯化培养从石油污染的土样中筛选出一株高效石油烃降解菌Y-16,其对胜利原油7 d降解率达到51.98%。在好氧条件下,对Y-16菌株的最优降解条件进行了探索,结果表明,在pH值8.0,温度30℃,接种量10%,摇床转数160 r/m in和3 000~7 000 mg/L的底物浓度下,Y-16菌株的最高降解率可达到60.34%。通过Y-16菌株对石油烃降解规律的探索,发现Y-16菌株对石油烃的降解符合一级反应动力学模型。     

The opposing effects of bacterial activity and gas production on anaerobic TCE degradation in soil columns

This laboratory study explores the effect of growth substrate concentration on the anaerobic degradation of trichloroethylene (TCE) in sand packed columns. In all columns the growth substrate rapidly degraded to gas, that formed a separate phase. Biomass accumulated in the 0–4.8 cm section of the columns in proportion to the influent growth substrate concentration and biomass concentrations in the remaining sections of all columns were similar to the column receiving the lowest substrate concentration. Increases in growth substrate concentration up to 3030 mg-COD l⁻¹ promoted TCE degradation, but a further increase to 14 300 mg-COD l⁻¹ reduced the amount of TCE completely dechlorinated but did not affect the production of chlorinated TCE intermediates. The mathematical model developed here satisfactorily described the enhancement in TCE dehalogenation for substrate concentration up to 3030 mg-COD l⁻¹; reproducing TCE dehalogenation for 14 300 mg-COD l⁻¹ required that the moisture content used in simulation be lowered to 0.1. The study shows that volatilization of TCE can be significant and volatilization losses should be taken into account when anaerobic activity in in-situ bioremediation applications is stimulated via addition of growth substrates. An implication of the modeling simulations is that maintaining a lower, but uniform, substrate concentration over the contaminated region may lead to faster contaminant degradation.     

Cometabolic degradation kinetics of TCE and phenol by Pseudomonas putida

Modeling of cometabolic kinetics is important for better understanding of degradation reaction and in situ application of bio-remediation. In this study, a model incorporated cell growth and decay, loss of transformation activity, competitive inhibition between growth substrate and non-growth substrate and self-inhibition of non-growth substrate was proposed to simulate the degradation kinetics of phenol and trichloroethylene (TCE) by Pseudomonas putida. All the intrinsic parameters employed in this study were measured independently, and were then used for predicting the batch experimental data. The model predictions conformed well to the observed data at different phenol and TCE concentrations. At low TCE concentrations (<2 mg l(-1)), the models with or without self-inhibition of non-growth substrate both simulated the experimental data well. However, at higher TCE concentrations (>6 mg l(-1)), only the model considering self-inhibition can describe the experimental data, suggesting that a self-inhibition of TCE was present in the system. The proposed model was also employed in predicting the experimental data conducted in a repeated batch reactor, and good agreements were observed between model predictions and experimental data. The results also indicated that the biomass loss in the degradation of TCE below 2 mg l(-1) can be totally recovered in the absence of TCE for the next cycle, and it could be used for the next batch experiment for the degradation of phenol and TCE. However, for higher concentration of TCE (>6 mg l(-1)), the recovery of biomass may not be as good as that at lower TCE concentrations.     

The opposing effects of bacterial activity and gas production on anaerobic TCE degradation in soil columns

This laboratory study explores the effect of growth substrate concentration on the anaerobic degradation of trichloroethylene (TCE) in sand packed columns. In all columns the growth substrate rapidly degraded to gas, that formed a separate phase. Biomass accumulated in the 0–4.8 cm section of the columns in proportion to the influent growth substrate concentration and biomass concentrations in the remaining sections of all columns were similar to the column receiving the lowest substrate concentration. Increases in growth substrate concentration up to 3030 mg-COD l⁻¹ promoted TCE degradation, but a further increase to 14 300 mg-COD l⁻¹ reduced the amount of TCE completely dechlorinated but did not affect the production of chlorinated TCE intermediates. The mathematical model developed here satisfactorily described the enhancement in TCE dehalogenation for substrate concentration up to 3030 mg-COD l⁻¹; reproducing TCE dehalogenation for 14 300 mg-COD l⁻¹ required that the moisture content used in simulation be lowered to 0.1. The study shows that volatilization of TCE can be significant and volatilization losses should be taken into account when anaerobic activity in in-situ bioremediation applications is stimulated via addition of growth substrates. An implication of the modeling simulations is that maintaining a lower, but uniform, substrate concentration over the contaminated region may lead to faster contaminant degradation.     

氧化亚铁硫杆菌浸铜作用研究

为研究氧化亚铁硫杆菌(Acidithiobacillus ferrooxidans,简称A.f)对铜浸出的作用,从某煤堆积水中分离得到A.f菌,利用该菌对铜进行浸出实验,设置3个处理,3个处理的浸出液分别为9 K培养基(简称S),成熟菌液(简称MS)和过滤除菌液(简称FS)。结果表明,3个处理中铜都得到了浸出,浸出铜浓度按S、FS和MS依次递增分别为4 433、5 377和6 296 mg/L;浸出初期,MS中的铜,浸出速度最快,过滤除菌液中次之,而培养基中的速度比较稳定,比前两者均慢,24 h后三者浸铜速度趋近一致;三者中pH、Eh变化相似,pH均先升高至3.4左右保持相对稳定,Eh均先迅速下降至280 mV后保持稳定。由实验可知,氧化亚铁硫杆菌主要在浸出初期促进了铜的浸出,且菌液中溶解氧氧化Fe2+以及酸性条件下氧化Cu0对铜的浸出作用不容忽视。     

Co-metabolic degradation of naphthalene and pyrene by acclimated strain and competitive inhibition kinetics

A dominant strain named Ochrobactrum sp. was isolated from soils contaminated with coal tar. The batch experiments were carried out to study the co-metabolic degradation of pyrene by Ochrobactrum MB-2 with naphthalene as the main substrate and the effects of several significant parameters such as naphthalene concentration, pH and temperature on removal efficiency were explored. The results showed that Ochrobactrum MB-2 effectively degraded naphthalene and that the addition of naphthalene favored the degradation of pyrene. The maximum elimination efficiency of naphthalene (10?mg?L^?1) and pyrene (1?mg?L^?1) was achieved at pH 7 and 25?°C, and the corresponding values were 99 and 41%, respectively. A competitive inhibition model based on the Michaelis–Menten equation was used to characterize the inhibitory effect of pyrene on naphthalene degradation. The values of the half-saturation coefficient for naphthalene (K_S) and dissociation constant of enzyme-inhibitor complex (K_C) were determined to be 4.93 and 1.38?mg?L^?1, respectively.     

Biodegradation of triazine herbicide metribuzin by the strain Bacillus sp. N1

By enrichment culturing of soil contaminated with metribuzin, a highly efficient metribuzin degrading bacterium, Bacillus sp. N1, was isolated. This strain grows using metribuzin at 5.0% (v/v) as the sole nitrogen source in a liquid medium. Optimal metribuzin degradation occurred at a temperature of 30ºC and at pH 7.0. With an initial concentration of 20 mg L^?1, the degradation rate was 73.5% in 120 h. If the initial concentrations were higher than 50 mg L^?1, the biodegradation rates decreased as the metribuzin concentrations increased. When the concentration was 100 mg L^?1, the degradation rate was only 45%. Degradation followed the pesticide degradation kinetic equation at initial concentrations between 5 mg L^?1 and 50 mg L^?1. When the metribuzin contaminated soil was mixed with strain N1 (with the concentration of metribuzin being 20 mg L^?1 and the inoculation rate of 10¹¹ g^?1 dry soil), the degradation rate of the metribuzin was 66.4% in 30 days, while the degradation rate of metribuzin was only 19.4% in the control soil without the strain N1. These results indicate that the strain N1 can significantly increase the degradation rate of metribuzin in contaminated soil.     

渗滤液污染地下氧化还原环境与污染物衰减研究

通过土柱实验研究垃圾渗滤液污染地下氧化还原环境的分带现象与污染物的衰减规律.实验结果表明:垃圾渗滤液污染晕中出现了3个顺序氧化还原带,依次为铁还原带、硝酸盐还原带和氧还原带,各带标志性物质Fe3 、NO-2和O2的最高质量浓度分别为14.81、1.41、5.8 mg/L;COD与NH 4-N在监测区间内呈现出相似的衰减规律,随距离的增加浓度降低,随时间的推移浓度升高,COD初期最高去除率达76.8%,后期降到50.0%;NH 4-N初期最高去除率达98.1%,后期降到90.2%.     

In situ iron activated persulfate oxidative fluid sparging treatment of TCE contamination--a proof of concept study

In situ chemical oxidation (ISCO) is considered a reliable technology to treat groundwater contaminated with high concentrations of organic contaminants. An ISCO oxidant, persulfate anion (S(2)O(8)(2-)) can be activated by ferrous ion (Fe(2+)) to generate sulfate radicals (E(o)=2.6 V), which are capable of destroying trichloroethylene (TCE). The property of polarity inhibits S(2)O(8)(2-) or sulfate radical (SO(4)(-)) from effectively oxidizing separate phase TCE, a dense non-aqueous phase liquid (DNAPL). Thus the oxidation primarily takes place in the aqueous phase where TCE is dissolved. A bench column study was conducted to demonstrate a conceptual remediation method by flushing either S(2)O(8)(2-) or Fe(2+) through a soil column, where the TCE DNAPL was present, and passing the dissolved mixture through either a Fe(2+) or S(2)O(8)(2-) fluid sparging curtain. Also, the effect of a solubility enhancing chemical, hydroxypropyl-beta-cyclodextrin (HPCD), was tested to evaluate its ability to increase the aqueous TCE concentration. Both flushing arrangements may result in similar TCE degradation efficiencies of 35% to 42% estimated by the ratio of TCE degraded/(TCE degraded+TCE remained in effluent) and degradation byproduct chloride generation rates of 4.9 to 7.6 mg Cl(-) per soil column pore volume. The addition of HPCD did greatly increase the aqueous TCE concentration. However, the TCE degradation efficiency decreased because the TCE degradation was a lower percentage of the relatively greater amount of dissolved TCE by HPCD. This conceptual treatment may serve as a reference for potential on-site application.     

The use of artificial neural network (ANN) for the prediction and simulation of oil degradation in wastewater by AOP

The application of advanced oxidation process (AOP) in the treatment of wastewater contaminated with oil was investigated in this study. The AOP investigated is the homogeneous photo-Fenton (UV/H₂O₂/Fe⁺²) process. The reaction is influenced by the input concentration of hydrogen peroxide H₂O₂, amount of the iron catalyst Fe⁺², pH, temperature, irradiation time, and concentration of oil in the wastewater. The removal efficiency for the used system at the optimal operational parameters (H₂O₂?=?400 mg/L, Fe⁺²?=?40 mg/L, pH?=?3, irradiation time?=?150 min, and temperature?=?30 °C) for 1,000 mg/L oil load was found to be 72 %. The study examined the implementation of artificial neural network (ANN) for the prediction and simulation of oil degradation in aqueous solution by photo-Fenton process. The multilayered feed-forward networks were trained by using a backpropagation algorithm; a three-layer network with 22 neurons in the hidden layer gave optimal results. The results show that the ANN model can predict the experimental results with high correlation coefficient (R ²?=?0.9949). The sensitivity analysis showed that all studied variables (H₂O₂, Fe⁺², pH, irradiation time, temperature, and oil concentration) have strong effect on the oil degradation. The pH was found to be the most influential parameter with relative importance of 20.6 %.