Sustain. Environ. Res., 20(4), 205-211 (2010) (Formerly, J. Environ. Eng. Manage.) 205 TREATMENT OF MUNICIPAL WASTEWATER USING AN ANAEROBIC-ANOXICOXIC BIOLOGICAL FILTER REACTOR PACKED WITH CARBON FIBERS AND AERATED WITH MICROBUBBLES Takahiro Yamashita1,*, Ryoko Yamamoto-Ikemoto2, Eiji Sakurai3, Kouhei Aikawa4 and Erika Kaneko5 1 Pollution Control Research Team National Institute of Livestock and Grassland Science Ibaraki 305-0901, Japan 2 Institute of Science and Engineering Kanazawa University Ishikawa 920-1192, Japan 3 Spring Field Ltd. Ishikawa 921-8034, Japan 4 Graduate School of Natural Science and Technology Kanazawa University Ishikawa 920-1192, Japan 5 Nippon Rensui Co., Ltd. Tokyo 170-0005, Japan Key Words: Municipal wastewater, nutrient removal, sulfate-reducing prokaryotes, nested PCRDGGE, carbon fibers, microbubbles ABSTRACT An anaerobic-anoxic-oxic biological filter reactor was applied to sewage treatment for nutrient removal. Average concentrations of total organic carbon (TOC), suspended solids (SS), total N (TN) and total P (TP) in the influent of the reactor were 46, 46, 37 and 5.8 mg L-1, respectively. Effluent TOC was consistently about 5 mg L-1 and the average concentration of SS was 11 mg L-1. Although the average removal efficiency of TN was 52%, it increased to over 70% when most of ammonium was nitrified to nitrate in the oxic bed under the conditions of hydraulic residence time > 1.5 h and dissolved oxygen > 2 mg L-1. Average removal efficiency of TP was 50%. In the anaerobic bed, 80% of sulfate decreased and 59% of dissolved organic carbon (DOC) was removed. The decrease in DOC tended to correlate with a decrease in sulfate. Although the excess sludge produced in the oxic bed was put into the anaerobic bed, the effluent water quality did not become poor. These results suggested that sulfate-reducing prokaryotes played an important role in organic removal and excess sludge reduction in the anaerobic bed. Subsequently, the microbial community of sulfate-reducing prokaryotes in the anaerobic biofilm was examined by the dissimilatory (bi)sulfite reductase genetargeting nested PCR-DGGE, and the sequences of ten excised bands from DGGE profiles were determined. INTRODUCTION Excess sludge generated from sewage treatment plants has increased due to the increase in coverage of sewer systems. A great amount of excess sludge is also generated from industrial wastewater treatment plants. Methods to decrease excess sludge by biological treatment are urgently needed. Recently, we pro*Corresponding author Email: [email protected] posed a cylindrical anaerobic-oxic biological filter reactor packed with carbon fibers and aerated with microbubbles. As the result of an examination using dye works wastewater, it was reported that suspended solids (SS) and the colorization removal of the proposed reactor was better than that of an activated sludge reactor, and excess sludge production was very low [1]. In the anaerobic bed, sulfate reduction was predomi- 206 Sustain. Environ. Res., 20(4), 205-211 (2010) nant. It was estimated that sulfate reduction played an important role in organic removal and sludge decomposition. However, the sulfate-reducing prokaryotes in the anaerobic bed had not been identified. Since all the produced sulfide could be reoxidized in an oxic bed placed on top of the anaerobic bed of the reactor, it was shown that no sulfide gas had escaped from the reactor. However, oxygen was consumed for sulfide removal. On the other hand, sulfide can be utilized for denitrification. In this study, a reactor was developed using an anaerobic-anoxic-oxic process for nutrient removal, and was applied to municipal wastewater treatment. Furthermore, sulfatereducing prokaryotes carrying the dissimilatory (bi)sulfite reductase (dsr) genes in the anaerobic biofilm were evaluated by a nested PCR-DGGE analysis [2] and the sulfate reduction activity was analyzed. MATERIALS AND METHODS Figure 1 shows the anaerobic-anoxic-oxic biological filter reactor used in the experiment. The reactor was made of an acrylic resin column 50 cm in diameter and 200 cm in height. The total reactor volume was 340 L. The reactor was divided into three beds. The bottom bed was packed with hanging carbon fibers. The middle and upper beds were packed with carbon fibers coiled around the mesh cylinders. In addition, 1.8 kg of iron ribbon (including 0.52-0.58% of carbon and 0.6-0.9% of manganese), which was 0.10.2 mm thick and 0.5-1.0 mm wide, was packed in the middle bed. The reactor was set up in the Johoku Wastewater Treatment Plant in Kanazawa City and seeded with 18 L of return sludge. Settled sewage was placed into the bottom anaerobic bed. The upper bed was aerated with microbubbles. Part of the effluent from the upper bed was returned to the middle anoxic bed. The carbon fibers had high biological affinity. Since such carbon fibers were broken under heavy aerating conditions, microbubbles were used for aeration in the oxic bed. The circulation water with microbubbles produced a unique rotation flow in the reactor, and SS were trapped by the carbon fibers [1]. The reactor hydraulic retention time (HRT) was regulated to 10 h. After 202 d of operation, HRT was extended to 24 h, and at 370 d, it was shortened to 12 h. The temperature and dissolved oxygen (DO) of the oxic bed in the reactor were measured once a week. The influent and effluent of each bed in the reactor were collected and taken to the laboratory. The concentrations of SS, pH, biochemical oxygen demand (BOD), total organic carbon (TOC) and total N (TN) (TOC and TN analyzer, Shimadzu, Co. Ltd., TOC-V CPN, TNM-1) were analyzed. Total P (TP) (phosphorus analyzer, Bran + Luebbe GmbH, AACS-III) was analyzed after degradation of organic phosphorus by potassium peroxydisulfate. The concentrations of sul Effluent 20 cm v Oxic bed v Generator with micro-bubble v Iron bed Anoxic bed 64 cm 5 cm 11 cm 50 cm Pump Influent Anaerobic bed 50 cm 50 cm Fig. 1. Experimental set-up. fate, nitrate, nitrite, thiosulfate, ammonium (Ion Chromatograph, Shimadzu Co., Ltd., IC-10AD), organic acids and bicarbonate (High Performance Liquid Chromatography with post column detection, Shimadzu, Co., Ltd., LC-10AD), dissolved organic carbon (DOC) (TOC analyzer) and PO4 (phosphorus analyzer) in the filtered samples were analyzed. After 670 d of operation, the biofilm in the anaerobic bed was taken out, and the sulfate reduction was examined using batch experiments according to the following procedures. One g of biofilm and the substrates purged with nitrogen gas were put into a 50 mL plastic syringe and stirred by a magnetic stirrer at 30 or 20 °C. The mixed liquor was taken out of the syringe at 0, 3, 6, 12, 24 and 48 h, and the concentrations of sulfate, organic acids and bicarbonate in the filtered sample were analyzed. Municipal wastewater and artificial organic wastewater (polypeptone = 200, CH3COOK = 100, yeast extract = 20, NaHCO3 = 71, KH2PO4 = 44, CaCl2•2H2O = 29.44; all in mg L-1) were used as the substrates. Sulfate (MgSO4•7H2O = 257 mg L-1)-supplemented substrates were also used. The microbial community of sulfate-reducing prokaryotes in the anaerobic biofilm was examined by the dsr gene targeting nested PCR-DGGE. After the anaerobic biofilm was taken out of the reactor, DNA was extracted using the UltraClean Soil DNA kit (Mo Bio Laboratories, Inc., USA). The dsrB fragments of the extracted DNA were amplified with a two-step nested PCR protocol using combinations of primers targeting the dsr genes (Table 1). First, PCR amplification of an about 1900-bp dsrAB fragment was per- Yamashita et al.: Anaerobic-onoxic-oxic Biological Filter Reactor 207 Table 1. Dissimilatory (bi)sulfite reductase gene (dsrAB)-targeted primers used in this study Primer DSRmix 1F DSRmix4R DSR1F DSR1Fa DSR1Fb Sequence (5’-3’)a ACS CAC TGG AAG CAC G ACC CAY TGG AAA CAC G GGC CAC TGG AAG CAC G DSR4R DSR4Ra DSR4Rb DSR4Rc GTG ATG CAG TTA CCG CA GTG TAA CAG TTT CCA CA GTG TAA CAG TTA CCG CA GTG TAG CAG TTK CCG CA Reference [4] [3] [3] [4] [3] [3] [3] DSRp2060Fb CAA CAT CGT YCA YAC CCA GGG [5] a Ambiguities: R (G or A); Y (C or T); K (G or T); M (A or C); S (G or C); W (A or T). b A 40-bp GC clamp was added to the 5’ end (CGCCCGCCGCGCCCCGCGCCCGGCCCGCCGCCCCCGCCCC) when the PCR product was used for DGGE analysis (DSRp2060F-GC). formed using the primers DSRlFmix (equimolar mixture of DSRlF, DSRIFa, and DSRlFb) and DSR4Rmix (equimolar mixture of DSR4R, DSR4Ra, DSR4Rb, DSR4Rc) described by Loy et al. [3]. A dsrB fragment of about 350-bp was amplified from dsrAB PCR products using the primer pair DSRp2060F-GC and DSR4R described by Miletto et al. [2]. DGGE was performed using a D-Code system (Bio-Rad Laboratories, Japan) according to the instruction manual. To identify DGGE bands, a small piece of gel from the middle of the target band was excised from the gel using a gel chip (Funa gel chip, Funakoshi Co., Ltd.) and incubated in 20 μL of distilled water for 24 h at 4 °C. The eluted DNA was reamplified by PCR using primers DSRp2060F and DSR4R without a GC clamp. PCR products for sequencing were purified using GenElute PCR Clean-Up Kit (Sigma-aldrich, Inc., USA) and sequenced using the DYEnamic ET Terminator Cycle Sequencing Kit and an ABI PRISM 3100 Genetic Analyzer (Applied Biosystems Japan Ltd.). To determine the closest known relatives of the partial DNA sequences obtained, searches were performed in the public data library DDBJ (http://www.ddbj. nig.ac.jp) using FASTA search tool. Phylogenetic trees were calculated and drawn using Clustal X and njplot. All dsrB gene sequences were deposited in the database under the accession numbers AB507433AB507445. RESULTS AND DISCUSSION 1. Reactor Performances The composition of municipal wastewater is shown in Table 2. Average concentrations of TOC, SS, TN and TP in the influent of the reactor were 46, 46, 37 and 5.8 mg L-1, respectively. The courses of HRT, water temperature, TOC, DOC, SS, TN and TP concentrations are shown in Fig. 2. When the HRT was controlled at 10 h, the reactor did not show good performance. Therefore, HRT was extended to 24 h after 202 d of operation. Since the reactor showed improved wastewater treatment performance, the HRT Table 2. Composition of the municipal wastewater used in the experiment TOC (mg L-1) SS (mg L-1) TN (mg L-1) TP (mg L-1) SO42- (mg L-1) NH4+ (mg L-1) pH Average 46 46 37 5.8 23 35 - Range 16.1-72.3 20-90 21.3-61.0 2.9-9.0 14.9-31.2 14.6-50.9 6.7-7.6 was shortened to 12 h after 370 d operation. Effluent TOC and DOC concentrations were consistently about 5 mg L-1, and the average SS was 11 mg L-1. When the air diffuser was used for oxygen supply due to the breaking down of the microbubbles generator from day 271 to 326 of operation, the effluent SS temporarily increased. This result suggests that the water flow around the carbon fibers produced by microbubbles was important in the biofilm filtration. Almost no organic acids such as acetate and propionate were detected during the operational period in the aerobic bed or the iron bed. The TN in the influent and effluent were 21-61 and 6-35 mg L-1, respectively, and the average removal efficiency of TN was 52%. TP in the municipal wastewater decreased in the iron bed. However, the phosphate removal efficiency decreased gradually due to iron corrosion. Figure 3 shows the effects of HRT and DO in the oxic bed on the nitrification and TN removal efficiencies in the reactor. The nitrification efficiency was high when HRT was over 1.5 h and DO was over 2 mg L-1 in the oxic bed. The TN removal efficiency was over 70% under the same condition. These results suggest that the nitrification and TN removal efficiency improved when the HRT was over 1.5 h and the DO was over 2 mg L-1 in the oxic bed. 2. Effects of Sulfate Reduction in the Anaerobic Bed The courses of the sulfate and DOC concentrations through the reactor are shown in Fig. 4. In the HRT (h) Water temperature(℃) 50 45 40 35 30 25 20 15 10 5 0 Water temperature 0 100 200 HRT 300 400 Period (days) Period (d) In fluent Effluent 60 40 20 0 80 70 60 50 40 30 20 10 0 In fluent Effluent 500 80 70 60 50 40 30 20 10 0 10 600 700 In fluent (TOC) Effluent (TOC) In fluent (DOC) Effluent (DOC) Influent Effluent 8 TP (mg L-1) SS (mg L-1) 80 TN (mg L -1) TOC and DOC (mg L-1) 100 10 9 8 7 6 5 4 3 2 1 0 DO in the oxic bed DO in the oxic bed (mg L -1) Sustain. Environ. Res., 20(4), 205-211 (2010) 208 6 4 2 0 0 100 200 300 400 500 600 0 700 100 200 300 400 500 600 700 Period (days) Period (days) Period (d) Period (d) Fig. 2. Courses of effluent characteristics. 50 Sulfate (mg L -1) 80 60 40 L -1) DO (mg Not over 2 Over 2 20 TN removal efficiency (%) 0 100 0 1 2 HRT (hrs) 3 Influent 4 80 60 Anaerobic bed Anoxic bed Effluent 40 30 20 10 0 50 0 DOC (mg L-1) Nitrification efficiency (%) 100 100 200 300 400 500 600 700 500 600 700 Period (days) 40 30 20 10 0 0 40 DO (mg L -1) Not over 2 Over 2 20 100 200 300 400 Period (days) Period (d) Fig. 4. The courses of the sulfate and DOC concentrations in the reactor. 0 0 1 2 HRT (hrs) HRT (h) 3 4 Fig. 3. The relationship between HRT in the oxic bed and the nitrification and TN removal efficiency. anaerobic bed, sulfate and DOC decreased by sulfate reduction. In the anoxic bed, sulfate increased by sulfur denitrification, and the remaining sulfur was oxidized in the oxic bed. Figure 5 shows the relationship between sulfate reduction and the DOC removal effi ciencies in the anaerobic bed. When sulfate reduction occurred predominantly, the DOC removal efficiency tended to increase. Although excess sludge produced in the oxic bed was returned to the anaerobic bed, the effluent water quality did not become poor. These results suggest that sulfate-reducing prokaryotes played an important role in organic removal and excess sludge reduction in the anaerobic bed. Yamashita et al.: Anaerobic-onoxic-oxic Biological Filter Reactor sulfate-reducing prokaryote. On the other hand, when artificial wastewater was used at 20 °C, acetate and bicarbonate increased in sulfidogenic conditions. Propionate was accumulated without sulfate. Some sulfate-reducing prokaryotes oxidized propionate to acetate. It was considered that both prokaryotes coexisted in the anaerobic bed. HRT 10 h 12 h 24 h 60 40 4. Microbial Community of Sulfate-reducing Prokaryotes in the Anaerobic Bed 60 70 80 90 Sulfate reduction efficiency (%) 100 Fig. 5. Relationship between sulfate reduction efficiency and the DOC removal efficiency in the anaerobic bed. 3. Sulfate Reduction in the Batch Experiment 400 (a1) 120 300 90 200 60 100 30 0 0 400 Concentrations (mg L-1) 150 (a2) 120 300 90 200 60 100 30 0 0 0 12 24 Time (h) 36 48 Bicarbonate concentration (mg L-1) Concentrations (mg L-1) 150 Bicarbonate concentration (mg L-1) The sulfate-reducing activity of the anaerobic biofilm in the reactor was examined by batch experiment. Figure 6 shows typical results of the batch experiments using the anaerobic biofilm. When municipal wastewater was used for the substrate at 30 °C, bicarbonate increased by sulfate reduction. After 12 h, a small amount of acetate was accumulated. Organic matter in the sewage was decomposed completely by The microbial community of sulfate-reducing prokaryotes in the anaerobic biofilm was examined by dsr gene-targeting nested PCR-DGGE. Figure 7 shows DGGE profiles. The DGGE profiles of the dsr gene extracted from the biofilm on day 538 to 670 of operation showed similar patterns. The sequences of ten bands excised from the DGGE profiles were determined. Table 3 shows the closest species match obtained from FASTA search between DNA of the excised DGGE bands and sequences from the DDBJ database. DGGE bands at the same horizontal positions (bands 3-1 to 3-3, 7-1 and 7-2, respectively) were considered to represent the same prokaryotes. The dominant sulfate-reducing prokaryotes in the anaerobic biofilm on days 538-670 of operation was most closely related to Desulfotomaculum nigrificans (band 3) by FASTA search. Prior to the 1980s, the prokary150 400 (b1) 120 300 90 200 60 100 30 0 150 0 400 (b2) 120 300 90 200 60 100 30 0 0 0 12 24 36 48 Bicarbonate concentration (mg L-1) 50 Bicarbonate concentration (mg L-1) 0 Concentrations (mg L-1) 20 Concentrations (mg L-1) DOC removal efficiency (%) 100 80 209 Time (h) Fig. 6. Typical results of the batch experiments using the anaerobic biofilm. (a) Municipal wastewater (30 °C); (b) Artificial wastewater (20 °C ); (a1 and b1) with SO4; (a2 and b2) without SO4. Symbols: sulfate (●), acetate (▲), propionate (■), bicarbonate (◆). Sustain. Environ. Res., 20(4), 205-211 (2010) 210 a b c d e f 35% 7-1 8 9 10 3-2 3-3 4 5 6 7-2 Denaturant gradient 1 2 3-1 80% Fig. 7. Denaturing gradient gel electrophoresis of dsrB PCR product from the anaerobic biofilm in the reactor. Lanes: a, the anaerobic biofilm (538 days); b, the anaerobic biofilm (559 days); c, the anaerobic biofilm (608 days); d, the anaerobic biofilm (670 days); e, PCR negative control; f, marker. Labelled DGGE bands represent bands that were excised and sequenced. ote had gone by two names, from Desulfovibrio desulfuricans and Clostridium nigrificans [6]. D. nigrificans can utilize sulfate, sulfite and thiosulfate as electron acceptors, and oxidize organic substrates incom- pletely [7]. In addition, close relations to prokaryotes Desulfacinum infernum (bands 4 and band 7), Desulfovibrio aminophilus (band 5), Desulfovibrio fructosovorans (band 6), Desulfovibrio longus (band 8) and Syntrophobacter fumaroxidans (bands 9, 10) were detected. The detected prokaryotes except for D. infernum oxidize organic substrates incompletely [7]. Since organic acids were not detected in the effluent of the anaerobic bed, methanogenic prokaryotes might coexist with sulfate-reducing prokaryotes. CONCLUSIONS Treatment of municipal wastewater was examined using an anaerobic-anoxic-oxic biological filter reactor packed with carbon fibers and aerated with microbubbles. The results can be summarized as follows. 1. The reactor showed good performance for organic and SS removal when HRT was over 10 h. 2. The nitrification and TN removal efficiency were improved when HRT was over 1.5 h and DO was over 2 mg L-1 in the oxic bed. 3. TP from the municipal wastewater decreased in the iron bed. However, the phosphate removal efficiency decreased gradually due to iron corrosion. 4. In the anaerobic bed, abut 80% of DOC could be removed. It was suggested that sulfate-reducing prokaryotes played an important role in organic removal and excess sludge reduction. 5. The dominant sulfate-reducing prokaryote Table 3. Closest species matches obtained from FASTA search between DNA of excised DGGE bands and sequences from the DDBJ database FASTA Sequence Closest relative Accession No.b Band % Identityc Overlap (bp) length (bp) 1 334 Desulfotomaculum nigrificans AF482466 67.4 316 2 334 Desulfotomaculum nigrificans AF482466 68.0 316 3-1 329 Desulfotomaculum nigrificans AF482466 68.4 313 3-2 337 Desulfotomaculum nigrificans AF482466 67.8 320 3-3 337 Desulfotomaculum nigrificans AF482466 67.2 317 4 289 Desulfacinum infernum AF418194 77.3 282 5 327 Desulfovibrio aminophilus AY626029 69.3 257 6 320 Desulfovibrio fructosovorans AF418187 73.2 250 7-1 345 Desulfacinum infernum AF418194 70.0 340 7-2 318 Desulfacinum infernum AF418194 67.1 295 8 341 Desulfovibrio longus AB061540 71.0 314 9 334 Syntrophobacter fumaroxidans CP000478 69.6 336 10 326 Syntrophobacter fumaroxidans CP000478 68.7 332 a Band numbers correspond to those presented in Fig. 7. b Accession number of sequence of the closest relative found by FASTA search. c Percentage of identical nucleotides in the sequence obtained from the DGGE band and the sequence of the closest relative found in the GenBank database. a Yamashita et al.: Anaerobic-onoxic-oxic Biological Filter Reactor detected by dissimilatory (bi)sulfite reductase gene- targeted nested PCR-DGGE was D. nigrificans. 4. ACKNOWLEDGMENTS The authors wish to express their thanks to graduate students, Ms. Namiko Tsukihashi and Mr. Jianqing Zhu, Kanazawa University for their technical assistance. 5. REFERENCES 1. Yamashita, T., R. Yamamoto-Ikemoto and E. Sakurai, Treatment of dye works wastewater using anaerobic-oxic biological filter reactor packed with carbon fibre and aerated with micro-bubbles. Water Sci. Technol., 53(11), 151-161 (2006). 2. Miletto, M., P.L.E. Bodelier and H.J. Laanbroek, Improved PCR-DGGE for high resolution diversity screening of complex sulfate-reducing prokaryotic communities in soils and sediments. J. Microbiol. Meth., 70(1), 103-111 (2007). 3. Loy, A., K. Kusel, A. Lehner, H.L. Drake and M. Wagner, Microarray and functional gene analyses of sulfate-reducing prokaryotes in low-sulfate, acidic fens reveal cooccurrence of recognized 6. 7. 211 genera and novel lineages. Appl. Environ. Microb., 70(12), 6998-7009 (2004). Wagner, M., A.J. Roger, J.L. Flax, G.A. Brusseau and D.A. 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