Effective and robust partial nitrification to nitrite by real-time aeration duration control in an SBR treating domestic wastewater

Achieving sustainable partial nitrification to nitrite has been proven difficult in treating low strength nitrogenous wastewater. Real-time aeration duration control was used to achieve efficient partial nitrification to nitrite in a sequencing batch reactor (SBR) to treat low strength domestic wastewater. Above 90% nitrite accumulation ratio was maintained for long-term operation at normal condition, or even lower water temperature in winter. Partial nitrification established by controlling aeration duration showed good performance and robustness even though encountering long-term extended aeration and starvation period. Process control enhanced the successful accumulation of ammonia oxidizing bacteria (AOB) and washout of nitrite oxidizing bacteria (NOB). Scanning electron microscope observations indicated that the microbial morphology showed a shift towards small rod-shaped clusters. Fluorescence in situ hybridization (FISH) results demonstrated AOB were the dominant nitrifying bacteria, up to 8.3 ± 1.1% of the total bacteria; on the contrary, the density of NOB decreased to be negligible after 135 days operation since adopting process control.     

Effect of pH and nitrite concentration on nitrite oxidation rate

The effect of pH and nitrite concentration on the activity of the nitrite oxidizing bacteria (NOB) in an activated sludge reactor has been determined by means of laboratory batch experiments based on respirometric techniques. The bacterial activity was measured at different pH and at different total nitrite concentrations (TNO?). The experimental results showed that the nitrite oxidation rate (NOR) depends on the TNO? concentration independently of the free nitrous acid (FNA) concentration, so FNA cannot be considered as the real substrate for NOB. NOB were strongly affected by low pH values (no activity was detected at pH 6.5) but no inhibition was observed at high pH values (activity was nearly the same for the pH range 7.5-9.95). A kinetic expression for nitrite oxidation process including switch functions to model the effect of TNO? concentration and pH inhibition is proposed. Substrate half saturation constant and pH inhibition constants have been obtained.     

从典型硝化细菌到全程氨氧化微生物：发现及研究进展

生物硝化过程在全球氮循环中起关键性作用,被认为由氨氮氧化成亚硝酸盐和亚硝酸盐氧化成硝酸盐两个步骤组成,分别由氨氧化微生物(Ammonia oxidizing microorganisms,AOM)和硝化细菌(Nitrite oxidizing bacteria,NOB)催化完成。AOM包括氨氧化细菌(Ammonia oxidizing bacteria,AOB)和氨氧化古菌(Ammonia oxidizing archaea,AOA),AOB与AOA分布广泛,两者的相对丰度和氨氮浓度密切相关。2015年底,3个硝化螺菌属(Nitrospira)谱系Ⅱ的NOB被证实含有AOM的特征功能酶,包括氨单加氧酶(AMO)和羟胺脱氢酶(HAO),并证明NOB同时具有氨氧化和亚硝酸盐氧化的能力,命名为全程氨氧化微生物(Complete ammonia oxidizer,Comammox)。根据AMO的α亚基基因amoA的相似性将Comammox分为两大分支clade A和clade B。它们广泛分布于自然环境和人工系统,包括土壤(稻田、森林)、淡水(湿地、河流、湖泊沉积物、蓄水层)、污水处理厂和自来水厂等。本文综述了Comammox的发现及其最新的研究进展,并展望了Comammox作为氮循环关键功能菌群的研究方向和应用前景。     

Use of pH auxostats to grow filamentous fungi in continuous flow culture at maximum specific growth rate

Abstract The pH auxostat employs a pH-derived feedback control of biomass concentration and allows continuous flow cultures of organisms to be grown at their maximum specific growth rate. We examine three modifications of the pH auxostat system for the growth of filamentous fungi and discuss the suitability of each method according to the biomass concentration desired, the medium used and the equipment available. Fusarium graminearum and Geotrichum candidum were used for this work and it was possible to maintain steady state pH auxostats of these filamentous fungi for up to 20 days. pH auxostats have not previously been described for filamentous fungi.     

盐分对生物脱氮工艺中硝化反应的影响与机理

高盐废水来源广泛,在利用生物脱氮法处理高盐含氮废水时,盐分会对生物脱氮产生抑制作用.硝化反应是生物脱氮工艺中的关键过程,研究盐分对硝化反应的影响机理具有重要意义.本文概述了盐分对废水生物脱氮过程中硝化反应影响的研究进展,总结了盐胁迫对好氧氨氧化过程、亚硝酸盐氧化过程中硝化效率和反应特性的影响规律,并分析了盐分对硝化微生物细胞形态、生物絮体结构和胞外聚合物特性变化以及菌群结构的影响,系统阐述了盐胁迫下的硝化反应机理,为高盐分高铵氮废水生物脱氮工艺设计提供理论指导.
     

Mass production of nitrifying bacterial consortia for the rapid establishment of nitrification in saline recirculating aquaculture systems

Two distinct nitrifying bacterial consortia, namely an ammonia oxidizing non-penaeid culture (AMONPCU-1) and an ammonia oxidizing penaeid culture (AMOPCU-1), have been mass produced in a nitrifying bacterial consortia production unit (NBCPU). The consortia, maintained at 4°C were activated and cultured in a 2 l fermentor initially. At this stage the net biomass (0.105 and 0.112 g/l), maximum specific growth rate (0.112 and 0.105/h) and yield coefficients (1.315 and 2.08) were calculated respectively, for AMONPCU-1 and AMOPCU-1 on attaining stationary growth phase. Subsequently on mass production in a 200 l NBCPU under optimized culture conditions, the total amounts of NH₄ ⁺–N removed by AMONPCU-1 and AMOPCU-1 were 1.948 and 1.242 g/l within 160 and 270 days, respectively. Total alkalinity reduction of 11.7–14.4 and 7.5–9.1 g/l were observed which led to the consumption of 78 and 62 g Na₂CO₃. The yield coefficient and biomass of AMONPCU-1 were 0.67 and 125.3 g/l and those of AMOPCU-1 were 1.23 and 165 g/l. The higher yield coefficient and growth rate of AMOPCU-1 suggest better energy conversion efficiency and higher CO₂ fixation potential. Both of the consortia were dominated by Nitrosomonas-like organisms. The consortia may find application in the establishment of nitrification within marine and brackish water culture systems.     

高通量快速测定致病性及非致病性副溶血性弧菌最大比生长速率

【目的】比较15 °C、20 °C和25 °C时, 9株不同致病性与非致病性副溶血性弧菌菌株在TSB (3% NaCl, pH 8.0)中的最大比生长速率之间的差异。【方法】应用Bioscreen C全自动微生物生长曲线分析仪测定副溶血性弧菌的最大比生长速率。【结果】15 °C、 20 °C和25 °C时, 9株副溶血性弧菌菌株间最大比生长速率的变异系数分别为20.72%、17.5%和15.98%。不同副溶血性弧菌最大比生长速率之间的差异随着温度的降低而增加。【结论】在进行定量微生物风险评估时, 应用仅基于一株菌建立的生长预测模型会给预测结果带来较大的不确定性。需建立可描述不同副溶血性弧菌菌株的最大比生长速率的随机模型来为定量微生物风险评估提供更准确有效的预测模型。     

Kinetic analysis on the two-step processes of AOB and NOB in aerobic nitrifying granules

Complete granulation of nitrifying sludge was achieved in a sequencing batch reactor. For the granular sludge, batch experiments were conducted to characterize the kinetic features of ammonia oxidizers (AOB) and nitrite oxidizers (NOB) in the granules using the respirometric method. A two-step nitrification model was established to determine the kinetic parameters of both AOB and NOB. In addition to nitrification reactions, the new model also took into account biomass maintenance and mass transfer through the granules. The yield coefficient, maximum specific growth rate, and affinity constant for ammonium for AOB were 0.21 g chemical oxygen demand (COD) g⁻¹ N, 0.09 h⁻¹, and 9.1 mg N L⁻¹, respectively, whereas the corresponding values for NOB were 0.05 g COD g⁻¹ N, 0.11 h⁻¹, and 4.85 mg N L⁻¹, respectively. The model developed in this study performed well in simulating the oxygen uptake rate and nitrogen conversion kinetics and in predicting the oxygen consumption of the AOB and NOB in aerobic granules.     

长期施加氮肥及氧化钙调节对酸性土壤硝化作用及氨氧化微生物的影响

以长期施加氮肥及添加氧化钙调节的酸性土壤为研究对象,运用定量PCR和DGGE技术,探讨了土壤氨氧化微生物及硝化作用对不同施肥处理及氧化钙调节的响应。长期施化学氮肥导致酸性土壤p H(KCl)值(3.35—3.47)和硝化潜势(0.02—0.14μg NO-2-N g-1土壤h-1)进一步降低,而添加Ca O后土壤酸化得以缓解(p H值4.10—4.46),土壤硝化潜势(0.22—0.34μg NO-2-N g-1土h-1)显著增加。同时,添加Ca O处理对氨氧化古菌(AOA)的群落结构无明显影响,但明显提高了各施肥处理土壤中氨氧化细菌(AOB)的群落多样性,加Ca O处理的土壤中,AOA的数量降低而AOB的数量增加。这些结果表明虽然酸性土壤中AOA在数量和活性上占主导优势,AOB在功能上冗余,但当添加Ca O后,AOA和AOB对环境变化迅速作出响应,并根据其不同的生态位需求重新分配优势地位,二者交替作用共同驱动酸性土壤硝化作用。     

施氮肥对华北平原土壤氨氧化细菌和古菌数量及群落结构的影响

利用荧光定量PCR、末端限制性片段长度多样性(T-RFLP)和基因克隆文库技术,比较了4种施氮水平(不施氮肥,0 kg N/hm~2,CK;施低水平氮肥,75 kg N/hm~2,N1;施中水平氮肥,150 kg N/hm~2,N2;施高水平氮肥,225 kg N/hm~2,N3)下华北平原地区小麦季表层(0—20 cm)土壤总细菌、氨氧化细菌(AOB)和氨氧化古菌(AOA)的丰度和群落结构。结果表明,土壤总细菌、AOB和AOA数量分别在每克干土5.74×10~9—7.50×10~9、8.89×10~6—2.66×10~7和3.83×10~8—7.78×10~8之间。不同施氮量土壤AOA数量均高于AOB数量,AOA/AOB值在81.72—14.38之间。增施氮肥显著显著提高AOB数量(P0.05),对总细菌和AOA数量的影响不显著(P0.05)。与CK相比,处理N1、N2和N3中AOB数量分别提高了0.64、1.50和1.99倍。增施氮肥显著改变了AOB和AOA的群落结构,且不同施氮量处理中AOB群落结构差异更大。系统进化分析显示,施氮肥小麦土壤AOB主要为Nitrosospira属类群,分布在Cluster 3的两个分支中;AOA分布在Cluster S的4个分支中。相关性分析显示,AOB数量与全氮和铵态氮含量呈显著正相关关系,与土壤pH和碳氮比呈显著负相关关系(P0.05);AOA数量与硝态氮含量和土壤pH呈显著正相关关系,与铵态氮含量呈显著负相关关系(P0.05)。研究结果表明:增施氮肥可显著改变华北平原地区碱性土壤AOB数量与群落结构,该地区小麦土壤中AOB比AOA对氮肥响应更敏感。     

A general equation for the evaluation of the error that affects the value of the maximum specific growth rate

A general equation is proposed to evaluate the absolute error that affects the maximum specific growth rate calculated from batch or continuous experiments. This error depends on the relative errors of the cell concentration measurements and on the duration of the test.Nomenclature X ₁ Cell concentration at the beginning of the exponential growth phase or of the washing-out period - X ₁ Lowest value of X ₁ due to experimental errors - X ₁ Highest value of X ₁ due to experimental errors - X ₂ Cell concentration at the end of the exponential growth phse or of the washing-out period - X ₂ Lowest value of X ₂ due to experimental errors - X ₂ Highest value of X ₂ due to experiment errors - Relative error that affects X ₁ - Relative error that affects X ₂ - t Exponential growth stage or washing-out duration - Asolute error that affects - Maximum specific growth rate - ₁ Lowest value of due to experimental errors - ₂ Highest value of due to experimental errors The author is with the Instituto Mauá de Technologia, Estrada das Lágrimas 2035, 09580-900, São Caetano do Sul, SP, Brazil     

Evaluation of the maximum specific growth rate of a yeast indicating non-linear growth trends in batch culture

The maximum specific growth rate (μ_max) of an ethanolic D-xylose-fermenting yeast, Pichia stipitis, showing non-linear growth trends in batch culture, was calculated using the rate equation μ₂ = (1/Δt) ln(x ₂/x ₁). The absolute error Δμ, affecting μ₂, was derived using an equation given by Borzani (1994). Based on the assumption of linearity of growth curves between two closest time points, the relation between the two rate formulae, μ₁ = (1/xˉ)dx _t /dt and μ₂ = (1/Δt) ln(x ₂/x ₁) was established. In a particular condition, when μ₁ = μ₂, an equation has been developed, the roots of which are the specific growth rates at different time points. This revised version was published online in July 2006 with corrections to the Cover Date.     

Heterotrophs grown on the soluble microbial products (SMP) released by autotrophs are responsible for the nitrogen loss in nitrifying granular sludge

In this work, nitrogen loss in the nitrite oxidation step of the nitrification process in an aerobic‐granule‐based reactor was characterized with both experimental and modeling approaches. Experimental results showed that soluble microbial products (SMP) were released from the nitrite‐oxidizing granules and were utilized as a carbon source by the heterotrophs for denitrification. This was verified by the fluorescence in situ hybridization (FISH) analysis. Microelectrode tests showed that oxygen diffusion limitation did result in an anoxic micro‐zone in the granules and allowed sequential utilization of nitrate as an electron acceptor for heterotrophic denitrification with SMP as a carbon source. To further elucidate the nitrogen loss mechanisms, a mathematic model was formulated to describe the growth of nitrite oxidizers, the formation and consumption of SMP, the anoxic heterotrophic growth on SMP and nitrate, as well as the oxygen transfer and the substrate diffusion in the granules. The results clearly indicate that the heterotrophs grown on the SMP released by the autotrophs are responsible for the nitrogen loss in the nitrifying granules, and give us a better understanding of the aerobic granules for nitrogen removal. Biotechnol. Bioeng. 2011;108: 2844–2852. © 2011 Wiley Periodicals, Inc.     

Optimization of free ammonia concentration for nitrite accumulation in shortcut biological nitrogen removal process

A shortcut biological nitrogen removal (SBNR) utilizes the concept of a direct conversion of ammonium to nitrite and then to nitrogen gas. A successful SBNR requires accumulation of nitrite in the system and inhibition of the activity of nitrite oxidizers. A high concentration of free ammonia (FA) inhibits nitrite oxidizers, but unfortunately decreases the ammonium removal rate as well. Therefore, the optimal range of FA concentration is necessary not only to stabilize nitrite accumulation but also to achieve maximum ammonium removal. In order to derive such optimal FA concentrations, the specific substrate utilization rates of ammonium and nitrite oxidizers were measured. The optimal FA concentration range appeared to be 5–10 mg/L for the adapted sludge. The simulated results from the modified inhibition model expressed by FA and ammonium/nitrite concentrations were shown very similar to the experimental results.     

Evaluation of expected absolute error affecting the maximum specific growth rate for random relative error of cell concentration

Borzani's [(1994) World Journal of Microbiology and Biotechnology 10, 475–476] idea of evaluation of absolute error affecting the 'maximum specific growth rate' (ESGR), calculated on the basis of the first and the last time points of the entire experimental time period, is generalized to the real-life situations where the relative errors of cell concentration cannot be assumed to be constant during the experiment. Visualizing the entire experimental time period as to comprise of several successive, mutually exclusive and exhaustive time intervals, we compute specific growth rates (SGRs) for each of these time intervals. Defining maximum of these SGR values as MSGR in contrast to Borzani's ESGR our aim is to study the effect of the expected absolute error on SGRs of different intervals. This will reveal the discrepancy between the true and observed MSGRs. Assuming the relative error distribution on (0,1) to be rectangular and symmetric truncated normal with mean at 0.5 and suitable variance, the expected values of the absolute errors are evaluated and numerically tabulated using the software packages MATHEMATICA and S-PLUS. Our results thus hold for situations involving varying relative errors where Borzani's results cannot be applied. A discussion with a concrete numerical example on the misidentification of the MSGR interval due to the effect of the random relative measuremental errors reveals to an experimental biologist that ignorance of this fact may lead to his/her entire experiment being futile.     

变性梯度凝胶电泳法研究我国不同土壤氨氧化细菌群落组成及活性

实验选用了我国3种不同土壤研究土壤硝化活性、硝化细菌数量,并使用变性梯度凝胶电泳(DGGE)的方法研究了不同土壤中氨氧化细菌(AOB)区系变化。通过28d的土壤培养实验研究发现,潮土具有最强的硝化势,几乎100%的铵态氮转化为硝态氮;而红壤中的硝化势最弱,只有4.9%的铵态氮转化为硝态氮。对这3种土壤硝化细菌进行计数发现,3种土壤氨氧化菌数量差异显著,而3种土壤亚硝酸氧化菌(NOB)处于一个数量级。采用氨氧化菌功能基因amoA(氨单加氧酶ammoniamonooxygenase)特异PCR结合DGGE的方法对土壤氨氧化菌区系进行分析。红壤有4个氨氧化菌种属,与潮土和黄泥土没有共同的氨氧化菌种属。4个种属中两个是与潮土和黄泥土亲源性比较远的,特有的氨氧化菌种属,这两个种属与已知的Nitrosospira属的cluster3bz97838和Nitrosospira属的cluster3aAF353263亲源性比较近。潮土有5个氨氧化菌种属,潮土与黄泥土有两个共同的氨氧化菌种属,这两个种属中的一个是潮土和黄泥土特有的,与其他氨氧化菌种属亲源性比较远的氨氧化菌种属,这个种属与已知的Nitrosospira属的cluster3bZ97849亲源性比较近。黄泥土有4个氨氧化菌种属,除了与潮土共有的一个种属是两种土壤特有的氨氧化菌种属外,黄泥土还有一个与其他氨氧化菌种属亲源性比较远的,黄泥土特有的种属,与Nitrosospira属的cluster3aAF353263亲源性很近。3种土壤中分离到的硝化细菌表现出不同的硝化能力。实验结果表明,以amoA基因为目标的PCR-DGGE是比以16SrDNA为目标的PCR-DGGE更有效的研究氨氧化菌种群的方法;3种土壤的氨氧化菌种群差异显著,尤其是红壤的氨氧化菌种群与另外两种土壤差异明显,这种差异可能与红壤的低pH条件对氨氧化菌种群的长期选择有关;3种土壤中的硝化活性与土壤中的硝化细菌数量没有显著相关,可能由于3种土壤差异显著的土壤环境对硝化活性的影响造成。因此在对不同土壤硝化细菌进行研究时不仅需要对硝化细菌数量进行研究,还需要研究不同土壤中硝化细菌的种属及不同土壤环境条件对硝化细菌硝化活性的影响。     

Light-induced pH and K+ changes in the apoplast of intact leaves

The K⁺-sensitive fluorescent dye benzofuran isophthalate (PBFI) and the pH-sensitive fluorescein isothiocyanate dextran (FITC-Dextran) were used to investigate the influence of light/dark transitions on apoplastic pH and K⁺ concentration in intact leaves of Vicia faba L. with fluorescence ratio imaging microscopy. Illumination by red light led to an acidification in the leaf apoplast due to light-induced H⁺ extrusion. Similar apoplastic pH responses were found on adaxial and abaxial sides of leaves after light/dark transition. Stomatal opening resulted only in a slight pH decrease (0.2 units) in the leaf apoplast. Gradients of apoplastic pH exist in the leaf apoplast, being about 0.5–1.0 units lower in the center of the xylem veins as compared with surrounding cells. The apoplastic K⁺ concentration in intact leaves declined during the light period. A steeper light-induced decrease in apoplastic K⁺, possibly caused by higher apoplastic K⁺, was found on the abaxial side of leaves concentration. Simultaneous measurements of apoplastic pH and K⁺ demonstrated that a light-induced decline in apoplastic K⁺ concentration indicative of net K⁺ uptake into leaf cells occurs independent of apoplastic pH changes. It is suggested that the driving force that is generated by H⁺ extrusion into the leaf apoplast due to H⁺-ATPase activity is sufficient for passive K⁺ influx into the leaf cells. Received: 7 March 2000 / Accepted: 12 May 2000     

Nitrifying bacterial growth inhibition in the presence of algae and cyanobacteria

Nitrifying bacteria, cyanobacteria, and algae are important microorganisms in open pond wastewater treatment systems. Nitrification involving the sequential oxidation of ammonia to nitrite and nitrate, mainly due to autotrophic nitrifying bacteria, is essential to biological nitrogen removal in wastewater and global nitrogen cycling. A continuous flow autotrophic bioreactor was initially designed for nitrifying bacterial growth only. In the presence of cyanobacteria and algae, we monitored both the microbial activity by measuring specific oxygen production rate (SOPR) for microalgae and cyanobacteria and specific oxygen uptake rate (SOUR) for nitrifying bacteria. The growth of cyanobacteria and algae inhibited the maximum nitrification rate by a factor of 4 although the ammonium nitrogen fed to the reactor was almost completely removed. Terminal restriction fragment length polymorphism (T‐RFLP) analysis indicated that the community structures of nitrifying bacteria remained unchanged, containing the dominant Nitrosospira, Nitrospira, and Nitrobacter species. PCR amplification coupled with cloning and sequencing analysis resulted in identifying Chlorella emersonii and an uncultured cyanobacterium as the dominant species in the autotrophic bioreactor. Notwithstanding their fast growth rate and their toxicity to nitrifiers, microalgae and cyanobacteria were more easily lost in effluent than nitrifying bacteria because of their poor settling characteristics. The microorganisms were able to grow together in the bioreactor with constant individual biomass fractions because of the uncoupled solids retention times for algae/cyanobacteria and nitrifiers. The results indicate that compared to conventional wastewater treatment systems, longer solids retention times (e.g., by a factor of 4) should be considered in phototrophic bioreactors for complete nitrification and nitrogen removal. Biotechnol. Bioeng. 2010;107: 1004–1011. © 2010 Wiley Periodicals, Inc.