不同接种条件下微生物燃料电池产电特性分析

比较了11种不同来源的接种物对微生物燃料电池产电性能的影响,并考察了接种污泥的TCOD和pH值等特性对电池产电情况的影响.结果表明,以华南农业大学资源环境学院新肥室沼气池污泥为接种物的燃料电池产电效果最好,产生的最大电压为0.53V(外电阻为500Ω),最大功率密度达到9.12W/m3.污泥的初始TCOD越高,所产生的电能越多;而pH值在5.6~7.8范围内时,对MFC产电能力的影响不大.通过扫描电镜对阳极表面微生物的观察发现,不同接种物电池阳极富集的微生物存在很大差异,这可能是影响微生物燃料电池产电性能的最主要因素之一.     

微生物燃料电池群落结构最新研究进展

进入21世纪,对微生物燃料电池(microbial fuel cell,MFC)的研究已取得了很大进步,微生物燃料电池是一种利用微生物将有机物中的化学能转化为电能的装置。微生物燃料电池的研究及运用涉及到电化学、微生物、材料工程等多个领域。MFC的研究特点主要是产电的同时能高效处理污水,针对这种特点,为中国能源危机的缓解和资源的有效利用提供有效途径。目前,MFC研究的主要问题在于微生物的难控制、产电效率低、产电菌种少等,对不同底物MFC中产电微生物及产电菌群的研究,为提高MFC的产电性能、污水的处理效率提供了新的理论依据和研究思路。     

用高浓度对苯二甲酸溶液产电的微生物燃料电池

以高浓度对苯二甲酸（TA）溶液为底物,研究微生物燃料电池的产电效果.以厌氧活性污泥作为接种体,经过210 h驯化,开路电压达到0.54 V,证明了TA可以作为微生物燃料电池的底物进行产电.深入研究了不同pH值和底物浓度对产电的影响,实验结果表明,当体系pH为8.0时,负载两端（R=1 000 Ω）电压最大,底物浓度越高,负载两端电压越大,并逐渐趋近于一个最大值,通过Monod方程回归得到该微生物燃料电池体系输出电压的最大值U_max为0.5 V,K_s值为785.2 mg/L.当底物浓度（以COD计）为4 000 mg/L时,最大输出功率密度为96.3 mW/m²,库仑效率为2.66%,COD去除率为80.3%.     

生物阴极型微生物燃料电池研究进展

生物阴极型微生物燃料电池利用阴极微生物作为催化剂,降低微生物燃料电池成本的同时提高运行稳定性,受到广泛关注。文章根据最终电子受体将微生物燃料电池分为好氧生物阴极型和厌氧生物阴极型两类,分别对其产电机理、产电及污水净化效果进行评述,在此基础上分析影响生物阴极型微生物燃料电池产电的各种因素,提出生物阴极型微生物燃料电池的发展方向。     

阳极初始电势对微生物燃料电池产电的影响

在微生物燃料电池中,阳极电势会对产电菌的富集和生长产生影响.为进一步明确阳极电势的作用,确定适合微生物生长的最佳阳极电势,在微生物燃料电池的阳极室中设置附加电路以改变阳极的初始电势,考察阳极初始电势对产电微生物的影响.将阳极初始电势设为350 mV时,产电微生物的生长明显变慢.而阳极初始电势为-200 mV和200 mV时,微生物的生长速度基本相同.稳定运行后,阳极初始电势分别为350、200和-200 mV的微生物燃料电池,阳极内阻分别为71、43和80 Ω.通过变性梯度凝胶电泳(DGGE)分析微生物燃料电池稳定产电前后阳极微生物群落结构,虽然3个微生物燃料电池的阳极初始电势不同,但稳定后微生物群落结构相似,Clostridium sticklandii、Pseudomonas mendocina、Paenibacillus taejonensis在阳极的富集量最多,MFC对这3种细菌的强化富集作用最明显.     

湿地型生物燃料电池(CW-MFC)研究进展

湿地型生物燃料电池(wetland type microbial fuel cell,CW-MFC)由微生物燃料电池(microbial fuel cell,MFC)和人工湿地(constructed wetland,CW)组合而成。CW-MFC利用植物复合生物电极代替贵金属电极,湿地植物独有的根际分泌物(溶解氧、根际酶,根际有机物)和丰富的根际微生物种群结构,使电池具有更为复杂的电极结构和电极催化活性,更高效的去污能力和相对低的建设运行成本,同时CW-MFC的产电机制更为复杂。基于微生物燃料电池的工作原理,通过对CW-MFC产电机制及产电效能影响因素的综述,评述了CW-MFC电池结构、底物、电极材料、植物物种对系统效能的影响,提出了CW-MFC型电池的研究和发展方向。     

填料型微生物燃料电池产电特性的研究

将石墨和碳毡作为阳极填料组装成填料型微生物燃料电池,其启动期在1 d左右,低于平板型微生物燃料电池的启动期.碳毡作为填料时,微生物燃料电池的最大产电功率密度为1 502 mW/m2(37.6 W/m3),优于石墨作为填料的MFC.将碳毡与碳纸烧结一体以提高填料型微生物燃料电池阳极的导电性,与平板型微生物燃料电池相比,其面积内阻从0.071 Ω穖2下降到0.051 Ω穖2,最大电流密度从3 000 mA上升到8 000 mA,最大产电功率密度从1 100 mW/m2(27.5 W/m3)上升到2426 mW/m2(60.7W/m3),阳极电势平均下降100 mV.循环流量影响填料型微生物燃料电池的产电能力,当流量低于1 mL/min时,其产电功率密度随流速降低而下降.填料型微生物燃料电池在外电阻为600 Ω下长期稳定运行30 d以上,其库仑效率约为10.6%.     

双筒型微生物燃料电池产电及污水净化特性的研究

构建了双筒型微生物燃料电池并考察了产电和污水净化特性,在此基础上考察不同阳极填料对微生物燃料电池产电的影响.通过稳态放电法和电流中断法测量得到微生物燃料电池的内阻,以颗粒石墨作为阳极填料的双筒型微生物燃料电池内阻为38.9 Ω,阳极内阻、欧姆内阻和阴极内阻分别为5.1、 14.1和18.7 Ω,最大产电功率密度为6 253　mW/m³,双筒型微生物燃料电池的构型能有效提高单位体积质子膜面积.双筒型微生物燃料电池对COD的去除负荷为1.6 kg/(m³·d),库仑效率约为10%～12%.阳极填料为大颗粒石墨、小颗粒石墨、碳毡和穿孔型碳毡的双筒型微生物燃料电池的内阻分别为47、 39、 28和33 Ω,稳定运行周期分别为20、 18、 11和18 d.从兼顾产电和稳定运行角度出发,穿孔型碳毡和小颗粒石墨更适合用作MFC阳极填料.     

串联微生物燃料电池的电压反转行为

微生物燃料电池是一种处理废水同时产电的具有广阔应用前景的新型水处理技术,其串联是产生更高电压的有效方法之一,但是会产生电压反转现象降低串联微生物燃料电池的性能.文章将二极管引入串联微生物燃料电池中以考察电压反转的行为.结果表明,不同的串联微生物燃料电池中均会发生电压反转.串联正向二极管的微生物燃料电池的电压反转行为与没...     

一株产电菌嗜根考克氏菌(Kocuria rhizophila)的分离及其产电性能优化

本研究以天津泰达污水处理厂污泥浓缩间的污泥为接种物,启动并运行了微生物燃料电池(MFCs).从富集的阳极生物膜上分离得到了一株纯培养的微生物菌种,命名为P2-A-5.研究发现,菌株P2-A-5的16S rDNA序列与菌株Kocuria rhizophila DC2201具有100%的同源性,结合该菌的形态特征和生理生化实验,将其归属为嗜根考克氏菌(Kocuria rhizophila).通过化学剂处理、底物种类和浓度的优化,进一步提高其在微生物燃料电池中的产电性能.结果表明,菌株K.rhizophila P2-A-5经0.5 mg·L-1溶菌酶处理45 min后,接种到以2.0 g·L-1海藻糖为底物的阳极液中运行MFCs,其功率密度达到314.8 m W·m-2,比优化前(74.9 m W·m-2)提高了320.3%.这是首次对K.rhizophila种内微生物产电性能及其在微生物燃料电池中应用的报道,其成果对于丰富产电微生物的多样性,挖掘更多具有高电化学活性的微生物菌种,提高其产电性能具有重要的理论意义.     

基于微生物燃料电池技术的多元生物质生物产电研究进展

微生物燃料电池(microbial fuel cell,MFC)是一种使用微生物作为催化剂,直接将生物质能转化为电能的装置,为生物质的利用提供了新的途径.底物类型和底物浓度对于MFC的性能至关重要.使用小分子酸、醇或葡萄糖等简单有机物为底物时,MFC功率输出较高.但当底物为结构复杂的有机物时,为了提高MFC功率输出和底物降解效率,可以采用物理、化学手段对其进行预处理、采用天然菌群进行生物预降解或者添加简单有机物进行底物强化.基于多元生物质MFC技术未来将应用于污水中生物质能回收、偏远地区供电和生物传感器等方面.     

难降解有机污染物共降解机理解析

应用构建于关键酶的细胞２个层次的共降解数学模型，对高生物量和低生物量２种情况下难降解有机物（三氯乙烯）的共降解进行了模拟分析。结果表明，第一营养基质的诱导作用决定着共降解微生物细胞内关键酶的浓度，但是，由于竞争关系，过高的营养基质浓度反而导致共降争速率的下降，适当投加能量基质能够提高共降解过程速率，但是过量投加能量基质可能不利于长期维持微生物的活性。在共降解过程中，微生物能够通过自我恢复作用，对抗     

喹啉为MFC阳极燃料的微生物群落结构演化分析

通过构建填料型微生物燃料电池(MFC),首次对以喹啉为燃料时的MFC阳极表面的微生物群落进行了分析.PCR-DGGE的试验结果表明,随着燃料的改变,微生物群落也发生改变.当以喹啉和葡萄糖的混合溶液稳定地作为燃料时,由于受到喹啉毒性的抑制,微生物多样性降低,优势菌也发生明显的改变.与葡萄糖共基质相比,以单一喹啉为燃料时的阳极微生物优势菌落发生明显改变.新增加一类菌,这类菌与Pseudomonas sp. DIC5RS 的同源性为100%,推测该菌在单一喹啉为MFC燃料时喹啉的降解过程中起到关键作用.     

从废水中回收沼气能及氢能与电能

厌氧发酵制沼气、厌氧发酵制氢和微生物燃料电池技术是利用微生物在废水处理的同时回收能源的三种主要方式。文章结合相关研究现状,介绍了这三种技术的基本原理及其在废水处理领域的发展状况和展望,并对三种生物能源进行了比较。     

Cleaner production alternatives: Biomass utilisation options

The increasing price of energy, the security of supply, the reduction of green house gases, and the scarcity of oil and gas urge the use of more and more renewable energy. An important renewable energy source is the biomass which can be applied for heat, electricity, and transportation fuel production. The heat and electricity production are the so called “direct utilisation” alternatives and the transportation fuel production alternatives are the “indirect utilisation” alternatives of biomass energy. If efficient land use is considered, the alternatives can be compared on the basis of the utilisable energy produced from the biomass per hectare. It is shown that the bioethanol production from corn has about 89–99% less energy production capability than that of the direct utilisation alternatives. The cellulosic type bioethanol production technologies, since these partially directly utilise the biomass energy, have better energy utilisation potential, that is about 40–50% of direct alternatives.     

Energy and land use impacts of sustainable transportation scenarios

This study compares the land use impacts of sustainable transportation scenarios. Energy efficiency is calculated for four hypothetical, renewable fuel cycles possible for light vehicles: (1) renewable electricity to electrolytic hydrogen to fuel cell vehicles, (2) renewable electricity to battery electric vehicles, (3) biomass gasified to hydrogen to fuel cell vehicles and (4) biomass liquefied to biofuel to fuel cell vehicles. A presumption of 200 W/m² nominal average insolation allows comparison of the fuel cycle efficiencies on a land use basis. The two electricity-based fuel cycles show much higher calculated efficiencies (and lower land uses) than the biomass-based fuel cycles. The use of hydrogen as an energy carrier improves the performance of the biomass resource, but does not show a distinct advantage in performance of the electricity resource. Finally, gross land use is calculated for the particular instance of the U.S. light vehicle fleet, for each of the four fuel cycles.     

生物质成型燃料生产应用技术及经济效益分析

介绍了目前国内外生物质燃料中的颗粒燃料、棒状燃料等生产技术及生物质燃料的应用技术;针对当前全球能源的严峻形势,对运用生物质成型燃料的生产应用技术作了具体的经济分析和应用对比。     

Quantitative analysis of microbial biomass yield in aerobic bioreactor

We have studied the integrated model of reaction rate equations with thermal energy balance in aerobic bioreactor for food waste decomposition and showed that the integrated model has the capability both of monitoring microbial activity in real time and of analyzing biodegradation kinetics and thermal-hydrodynamic properties. On the other hand, concerning microbial metabolism, it was known that balancing catabolic reactions with anabolic reactions in terms of energy and electron flow provides stoichiometric metabolic reactions and enables the estimation of microbial biomass yield (stoichiometric reaction model). We have studied a method for estimating real-time microbial biomass yield in the bioreactor during food waste decomposition by combining the integrated model with the stoichiometric reaction model. As a result, it was found that the time course of microbial biomass yield in the bioreactor during decomposition can be evaluated using the operational data of the bioreactor (weight of input food waste and bed temperature) by the combined model. The combined model can be applied to manage a food waste decomposition not only for controlling system operation to keep microbial activity stable, but also for producing value–added products such as compost on optimum condition.     

Quantitative analysis of microbial biomass yield in aerobic bioreactor

We have studied the integrated model of reaction rate equations with thermal energy balance in aerobic bioreactor for food waste decomposition and showed that the integrated model has the capability both of monitoring microbial activity in real time and of analyzing biodegradation kinetics and thermal-hydrodynamic properties. On the other hand, concerning microbial metabolism, it was known that balancing catabolic reactions with anabolic reactions in terms of energy and electron flow provides stoichiometric metabolic reactions and enables the estimation of microbial biomass yield (stoichiometric reaction model). We have studied a method for estimating real-time microbial biomass yield in the bioreactor during food waste decomposition by combining the integrated model with the stoichiometric reaction model. As a result, it was found that the time course of microbial biomass yield in the bioreactor during decomposition can be evaluated using the operational data of the bioreactor (weight of input food waste and bed temperature) by the combined model. The combined model can be applied to manage a food waste decomposition not only for controlling system operation to keep microbial activity stable, but also for producing value-added products such as compost on optimum condition.     

Effect of heavy metals on soil microbial activity and diversity in a reclaimed mining wasteland of red soil area

The microbial biomass, basal respiration and substrate utilization pattern in copper mining wasteland of red soil area, southern China, were investigated. The results indicated that soil microflora were obviously different compared with that of the non-mine soil. Microbial biomass and basal respiration were negatively affected by the elevated heavy metal levels. Two important microbial ecophysiological parameters, namely, the ratio of microbial biomass C（ Cmic ）/organic C（ Corg ） and metabolic quotient（qCO2 ） were closely correlated to heavy metal stress. There was a significant decrease in the Cmic/Corg ratio and an increase in the metabolic quotient with increasing metal concentration. Multivariate analysis of Biolog data for sole carbon source utilization pattern demonstrated that heavy metal pollution had a significant impact on microbial community structure and functional diversity. All the results showed that soil microbiological parameters had great potential to become the early sensitive, effective and liable indicators of the stresses or perturbations in soils of mining ecosystems.