Bao Yua,
Dongling Zhanga,
Aidang Shana,
Ziyang Loua,
Haiping Yuana,
Xiaoting Huanga,
Wenxiang Yuanb,
Xiaohu Daic and
Nanwen Zhu*a
aSchool of Environmental Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, P. R. China. E-mail: nwzhu@sjtu.edu.cn; Fax: +86 21 54743710; Tel: +86 21 54743710
bShanghai Environmental Sanitation Engineering Design Institute, Shanghai, 200232, P. R. China
cNational Engineering Research Center for Urban Pollution Control, School of Environmental Science and Engineering, Tongji University, Shanghai 200092, P. R. China
First published on 1st April 2015
Thermophilic anaerobic digestion for methane production could realize simultaneously both energy recovery from waste-activated sludge and pollution control; however, low methane production and an imbalance between the hydrolysis and methanogenesis processes are often encountered. Three ferric salts, Fe(NO3)3, Fe2(SO4)3 and FeCl3, were introduced to test the potential effects on sludge anaerobic digestion performance under a thermophilic system. Enhanced methane production was achieved using FeCl3 as the additive: this had a cumulative methane production of 117.44 mL CH4 per g of volatile solid (VS), an increase of 98.9% over that in the control experiment (59.05 mL CH4 per g VS). Both Fe(NO3)3 and Fe2(SO4)3 caused some negative effects, meaning that the type of anion should also be considered. The introduction of FeCl3 created a favorable environment resembling positive precipitation and biocatalysis. The succession of microbial communities before and after the introduction of ferric salts was investigated and compared through pyrosequencing analysis, and in particular the dominance of Methanosarcina increased from 1.3% to 63.2% in effective reads with the addition of FeCl3.
There are some methanogenesis disinhibition methods applied to prevent VFA accumulation in anaerobic digestion, such as adjusting the C/N ratio,5 employing a two-stage digestion system to the separate the methanogenesis stage from the hydrolysis and acidification stages,6 and adding trace elements.7 Trace metals are necessary for the anaerobic digestion process, and it has been confirmed that the introduction of iron could enhance mesophilic anaerobic digestion, by improving the physiological and biochemical performance through preventing sulfide inhibition and controlling phosphate in waste water and kitchen waste treatment.8,9 During anaerobic digestion, sulfate and phosphate are produced from the decomposition of proteins, which react with ferrous ion to precipitate as ferrous sulphide and phosphate. The formation of iron precipitates is effective for phosphate collection, which is beneficial for reducing the cost of the subsequent processes for treating the digested effluent.10 Besides, iron is also an essential constituent of some cofactors and enzymes that stimulate and stabilize biogas process performance.11 The supplementation of ferric chemical compounds is operationally easy in anaerobic digestion, and the choice of metal species and anion can influence the operational conditions in the anaerobic reactor, such as the total metal concentration, pH, oxidation–reduction potential (ORP) and temperature.11,12 Based on the positive effects of iron, it was assumed that the introduction of ferric salts into a waste-activated sludge thermophilic anaerobic digestion system would have a direct influence on biological oxidation and be expected to create a more favourable environment for methane production.
The application of trace metals in anaerobic digestion of WAS has been reported in some works, while the availability of different ferric salts and their potential routes in sludge treatment are still limited, especially in thermophilic anaerobic digestion. To clarify these issues, Fe(NO3)3, Fe2(SO4)3 and FeCl3 were selected as additives for the improvement of the thermophilic anaerobic process in this study. The objectives of this work were to investigate the effects of these three ferric salts on the biogas production process, anaerobic digestion conditions, and the fate of iron ion in the system. Finally, the microbial community structure and relative abundance were also studied by 454 GS-FLX pyrosequencing technology to gain insight into the thermophilic anaerobic digestion system directly.
000 m3 per day. The sludge obtained was filtered with a 1.0 mm mesh to eliminate large particles and hair before thickening to the required solid concentration. The pre-treated samples were then stored at 4 °C for further analysis. The seed sludge (inoculum) was collected directly from a long-term continuous lab-scale anaerobic bioreactor in our lab, fed with activated sludge. Compared to the raw sludge, the seed sludge had a healthy population of methanogens and other microorganisms needed for the efficient start-up of new digesters. The main characteristics of the raw sludge and seed sludge are shown in Table 1.
| Parameters | Raw sludge | Seed sludge |
|---|---|---|
| pH | 6.32–6.40 | 6.87–6.90 |
| TS (g L−1) | 39.5–39.9 | 68.7–69.2 |
| VS (g L−1) | 29.0–29.3 | 49.6–52.2 |
| TCOD (mg L−1) | 32 570–37 640 |
84 576–87 260 |
| SCOD (mg L−1) | 124.0–535.6 | 16 240–18 440 |
| STN (mg L−1) | 104.18–121.8 | 762.6–812.4 |
| STP (mg L−1) | 55.13–98.64 | 416.16–467.38 |
| C (%) | 34.68–34.83 | — |
| H (%) | 5.39–5.51 | — |
| N (%) | 6.76–6.90 | — |
| S (%) | 1.35–1.38 | — |
| Fe (%) | 1.72–1.91 | 1.83–1.94 |
:
3 (volume
:
volume). After loading the sludge, oxygen was removed from the headspace by the injection of nitrogen gas (99.99%) for 5 min to maintain anaerobic conditions. During the anaerobic digestion process, all reactor vessels were maintained at a thermophilic digestion temperature of 55 ± 2 °C by water circulation, and equipped with stainless-steel stirrers for mixing the contents. The biogas produced was measured using a calibrated sampling syringe. All samples from the reactor vessels were analysed in triplicate. With the aim of investigating the effects of different ferric salts on the thermophilic anaerobic digestion of WAS, a fixed dosage of either Fe(NO3)3, Fe2(SO4)3 or FeCl3 was applied (referred to as R2, R3 and R4 experiments respectively) in the form of ferric salt solutions (50 mL) on the 3rd day after the experimental start-up, based on a ferric ion equivalent of 200 mg L−1. A control experiment (R1) was also carried out under the same operational conditions but without any ferric salt. No alkalinity or buffering agent was added into the system, and the pH value was not adjusted during the process.
000 rpm for 5 min with a subsequent filtration through 0.45 μm microfiber filter paper. The ORP and pH were measured by an ORP meter (ORP-502, Ruosull Technology Co., Ltd., Shanghai) and a pH meter (pHs-3C, Leici Co. Ltd., Shanghai), respectively. Total solids (TS), VS, soluble chemical oxygen demand (SCOD), total chemical oxygen demand (TCOD), NH4+–N, total nitrogen (TN), soluble total nitrogen (STN), total phosphorus (TP) and soluble total phosphorus (STP) were measured according to standard methods.13 VFAs (including acetic acid, propionic acid, butyric acid, isobutyric acid, valeric acid and isovaleric acid) were analyzed by a gas chromatograph (GC-2010, Shimadzu) with a chromatographic column (DB-FFAP: 30 m × 0.25 mm × 0.25 mm) and a flame ionization detector (FID). The concentrations of CH4 and CO2 were quantified by a gas chromatograph (GC-14B, Shimadzu) equipped with a chromatographic column (TDX-02) and a thermal conductivity detector (TCD).14 The concentration of iron ion in the supernatant was determined via atomic absorption spectrometry (spectrometer contrAA, Analytik Jena). An energy-dispersive spectrometer (EDS) analysis of the sludge samples was performed by a large area silicon drift detector (Large Area SDD, AZtec X-Max 80). The C, H, N and S content in the WAS were measured by an elemental analyzer (Vario Macro Cube, Elementar) with sulfanilamide (C6H8O2N2S) as a reference material. All the results represent the mean value of experiments done in triplicate with an accuracy of ±5%.
Two universal primers for Archaea, 787F (5′-ATTAGATACCCSBGTAGTCC-3′) and 1059R (5′-GCCATGCACCWCCTCT-3′) were used to amplify the Archaea 16S rRNA gene.15 The PCR program consisted of an initial 5 min denaturation step at 94 °C, 27 cycles of repeated denaturation at 94 °C for 30 s, annealing at 54 °C for 30 s, and extension at 72 °C for 30 s, followed by a final extension step of 5 min at 72 °C. After being purified and quantified, the PCR products of the 16S rRNA gene were determined by pyrosequencing using the Roche 454 FLX Titanium sequencer (Roche 454 Life Sciences, Branford, CT, USA) according to the methodology described by Zhang et al.16 Subsequently, the MOTHUR program was used to cluster effective sequences into operational taxonomic units (OTUs) at a 3% level. Rarefaction curves, the species richness estimator Chao1 and the Shannon diversity index were also generated via the MOTHUR program to identify the species diversity for each sample. The OTUs defined by a 3% distance level were classified using the RDP classifier at a 50% confidence threshold. The effective sequences obtained from pyrosequencing were compared with the Greengenes 16S rRNA gene database using the NCBI’s BLASTN tool, using the species distribution diagram. In order to further distinguish the dominant species that could account for the different digestion performances among the reactors, phylogenetic relationships of sequences were conducted according to the method described by Ye et al.17 The main software used for metagenome analysis was MEGAN, which is capable of conducting cluster analysis for the extensive sequencing data.
Fig. 1a illustrates the time curves of the CMP of the reactors with ferric salt dosing (R2, R3 and R4) and the control experiment (R1). During the initial stage, R1, R3 and R4 had a similar tendency, while R2 – dosed with Fe(NO3)3 – showed no distinct increase. Afterwards, CMP increased greatly in R4 – dosed with FeCl3 – and reached maximum methane production around the 43rd day; thus a final CMP of 117.44 mL CH4 per g VS was obtained, which was 98.9% higher than that in R1 (59.05 mL CH4 per g VS) and similar to the values (102–145 mL CH4 per g VS) reported by Sheets et al. under a thermophilic anaerobic system.4 It should be emphasized that it is still lower than some literature values: the current best reported maximum CMP of 256.45 mL CH4 per g VS was achieved after thermal pre-treatment (70 °C),18 and this result might be due to the differences of sludge and inoculum properties, or operating conditions like the reactors, hydraulic retention time (HRT), or pH. For R2, which had Fe(NO3)3 added, biogas production was inhibited completely, and a low CMP of 5.96 mL CH4 per g VS was observed. With Fe2(SO4)3 dosing, a stable increase of CMP was obtained that finally reached a peak of 46.67 mL CH4 per g VS. The maximum TMP was also found in R4: this was 95.23% higher than that of R1 (5075 mL), whereas the TMP of R2 and R3 were only 695 mL and 4250 mL, respectively. Nevertheless, the addition of FeCl3 did contribute to enhancement of the methane production from WAS under the test conditions, which confirmed the positive effects of iron on anaerobic digestion.19
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| Fig. 1 (a) Cumulative methane production (CMP) and (b) daily methane production (DMP) during the anaerobic digestion process. | ||
With respect to DMP (Fig. 1b), all reactors had a rapid methane production rate in the first three days, implying that methanogenesis was effectively activated in the reactors,20 and that DMP in R1, R3 and R4 then declined around the 9th day due to the excessive accumulation of VFAs and low pH resulting from rapid hydrolysis acidification in the thermophilic anaerobic digestion;21 DMP increased and reached its peak afterwards. The DMP of R2 was low throughout the whole process as a result of the unsuitable conditions for methanogens. As an indicator for process stability, the ratio of CO2/CH4 (Fig. A1†) in R2 remained at a high level (>3), indicating the small proportion of CH4 in the produced biogas and confirming the process failure after dosing with Fe(NO3)3.14
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| Fig. 3 (a) Variation of VFA concentrations in the supernatant; (b) variation of SCOD in the supernatant. | ||
SCOD of R1, R3 and R4 (Fig. 3b) increased sharply at first then only underwent small fluctuations, followed by a steady decline, the same as the trend of the TVFA curve;28 whereas that in R2 remained at a high level, ranging from 20
550 to 26
374 mg L−1 due to the poor methanogenesis. After the rapid growth of SCOD, peak values were obtained on 18th day in each reactor, and were 22
483, 25
522, 25
391 and 25
912 mg L−1, respectively. The SCOD growth rate of R4 was the fastest of all the reactors, and a rapid decline was obtained with the enhanced methane production rate, indicating that the addition of FeCl3 accelerated the conversion of soluble organic matter to biogas. On the other hand, the control experiment (R1) maintained a lower SCOD than the other three reactors in the later digestion period, and the value ranged from 5137 to 5665 mg L−1.
| NH4+ + 1.32NO2− + 0.066HCO3− + 0.13H+ → 1.02N2 + 0.26NO3− + 0.066CH2O0.5N0.15 + 2.03H2 | (1) |
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| Fig. 4 (a) Variations of TN concentrations in the supernatant; (b) variations of NH4+–N concentrations in the supernatant. | ||
Theoretically, 1.32 moles NO2− consumes 1 mole NH4+, with accompanying production of 1.02 moles N2 and 0.26 moles NO3−.29 Due to the introduction of NO3−, its conversion from NO2− was inhibited during the nitrification process, which resulted in the accumulation of NO2− and the decrease of NH4+ by the ANAMMOX reaction.
340 (R0), 17
985 (R1), 14
992 (R2), 18
372 (R3) and 18
998 (R4) effective sequence tags were obtained through primer and barcode matching with raw reads and a series of filtering process. The observed number of operational taxonomic units (OTUs) at a 3% distance were 412 (R0), 323 (R1), 367 (R2) 305 (R3) and 230 (R4). Chao1 values were investigated as a metric for species richness, together with the corresponding Shannon index for presenting the species diversity; these analyses jointly implied that some microbial communities were enriched selectively.30
| Sample | Effective reads | Observed OTUs | Estimated OTUs by Chao1 | Shannon |
|---|---|---|---|---|
| R0 | 12 340 |
412 | 886 | 3.375 |
| R1 | 17 985 |
323 | 689 | 2.531 |
| R2 | 14 992 |
367 | 1076 | 3.134 |
| R3 | 18 372 |
305 | 536 | 2.756 |
| R4 | 18 998 |
230 | 570 | 1.767 |
The sequences from Archaea were also analysed at the genus level as shown in Table 3, and a total of 10 genera were identified as dominating the composition in the five samples. Methanosarcina had its highest relative abundance in R4 (63.2%) as compared with that in R0 (1.3%), R1 (35.7%), R2 (2.7%) and R3 (31.4%), corresponding well with the methane production rate. The relative abundance of the genera Methanosphaerula and Methanomethylovorans had no apparent distinction among R1, R2, R3 and R4, and compared with R4 a higher relative abundance of the genera Methanobacterium, Methanobrevibacter, Methanolinea, Methanospirillum and Methanosaeta in R1, R2 and R3 was identified. At the same time, the genus Methanoculleus was enriched in R4 with its highest relative abundance (5%) as compared with 0.2%, 1%, 4.3% and 1.3% in R0, R1, R2 and R3, respectively.
| Genus | R0 | R1 | R2 | R3 | R4 |
|---|---|---|---|---|---|
| Methanobacterium | 1.60% | 4.30% | 3.20% | 3.30% | 1.20% |
| Methanobrevibacter | 6.00% | 2.60% | 1.60% | 1.90% | 0.50% |
| Methanothermobacter | 2.60% | 12.60% | 1.80% | 6.20% | 3.00% |
| Methanoculleus | 0.20% | 1.00% | 4.30% | 1.30% | 5.00% |
| Methanosphaerula | 1.90% | 0.70% | 0.70% | 0.60% | 0.60% |
| Methanolinea | 0.10% | 0.80% | 1.40% | 1.00% | 0.20% |
| Methanospirillum | 1.40% | 6.50% | 10.40% | 7.70% | 2.10% |
| Methanosaeta | 4.10% | 17.40% | 16.20% | 16.70% | 5.00% |
| Methanomethylovorans | 0.90% | 0.30% | 0.20% | 0.20% | 0.20% |
| Methanosarcina | 1.30% | 35.30% | 2.70% | 31.40% | 63.20% |
| Others | 5.30% | 9.80% | 31.70% | 18.10% | 12.30% |
| Archaea | 25.40% | 91.30% | 74.20% | 88.40% | 93.30% |
Phylogenetic relationships of sequences from the dominant microbial community (bacteria and Archaea) of each sample are shown in Fig. 6. These sequences were assigned into NCBI taxonomies with BLAST and MEGAN.16 Pie charts indicate the relative abundance of each phylum, class, family and genus. The relative abundances of the corresponding phylum, class, family and genus in the five samples were defined as the ratio of each coloured area to pie area. Although most of the genera were found simultaneously in each sample, there were still differences in terms of the relative abundances. The main bacteria in R0 was the genus Proteobacteria, while that in R1, R2, R3 and R4 was genus Firmicutes, indicating that the genus Firmicutes was enriched and that the dominant status of genus Proteobacteria was weakened during the digestion process. Some specific species of Archaea were selectively enriched,33 and the genera Methanobacterium, Methanothermobacter and Methanosaeta were the dominant communities in R0 and R1, while those in R2 were genera Methanoculleus, Methanospirillum and Methanosaeta. It should be emphasized that genera Methanosarcina and Methanoculleus were the dominant communities in R4 (colored yellow), which accounts for the higher methane production.
| Ferric salt species | Treatment objective | Dosage (mg L−1) | Waste water categories | Function(s) | Removal efficiency | Reference |
|---|---|---|---|---|---|---|
| FeCl3, Fe2(SO4)3 | Biomass removal | 150–250 | Piggery waste water | Coagulation, flocculation | 66–98% | 34 |
| FeCl3 | Sulfide control | 0.4–5.4 | Domestic waste water | Oxidation, precipitation | — | 35 |
| FeCl3 | Phosphorus control | 0.44 | Domestic sewage | Precipitation | 100% | 10 |
| FeCl3 | COD removal | 100–200 | Slaughterhouse waste water | Precipitation | 45–75% | 36 |
| FeCl3 | Color removal | 3500 | Molasses waste water | Co-precipitation | 96% | 37 |
In addition, iron is an indispensable component of pyruvate-ferredoxin oxidoreductase (POR), which catalyzes pyruvate catabolism with the production of CO2 and acetyl-CoA; consequently, iron has a direct influence on biological oxidation, and thus methane production was improved in the presence of iron. In this study, it was found that the addition of FeCl3 into a thermophilic anaerobic digestion system optimized the microbial community structure; the possible mechanisms involving iron through which this is achieved are shown in Fig. 7. After FeCl3 dosing of R4, certain bacteria and Archaea were selectively enriched; namely, the dominant communities shifted from Bacteroidetes and Proteobacteria to Firmicutes, and the main Archaea identified in R4 was Methanosarcina. According to the literature, Methanosarcina is the only one that utilizes all the three methane production pathways (i.e. the acetoclastic methanogenesis, hydrogenotrophic methanogenesis, and the methyl compound utilizing pathway) and tolerates different adverse factors, such as temperature variation or a high concentration of acetic acid.30 When methanogens became dominant, as the main products of hydrolysis acidification VFAs were degraded to methane in a timely manner and the pH increased, creating a favorable environment for stable methanation.
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| Fig. 7 Possible mechanisms of different ferric salts in the thermophilic anaerobic digestion of WAS (only the main methanogenesis process and key enzyme assayed are labelled). | ||
It should be emphasized that both the anions and the cations in ferric salts should be considered: it has been observed in this work that not all the ferric salts contribute to methane production because the addition of ferric salts not only introduces micronutrients for microorganisms, but also creates a special environment for anaerobic digestion. Specially, the introduction of NO3− resulted in a low pH and high ORP, accompanied by an AMMNOX process, creating adverse conditions for methanogens. In terms of SO42−, the ferric salt introduction was beneficial to the oxidation of organics by SRB, but the simultaneous competition for common organic and inorganic substrates also resulted in a gradual methanogenesis inhibition. Nevertheless, the addition of FeCl3 enhanced the methane production in the thermophilic anaerobic digestion system, attributed to the positive effects of iron and the favorable anaerobic conditions created.
Footnote |
| † Electronic supplementary information (ESI) available: The ratio of CO2 to CH4, the variation of VFAs (including acetic acid, propionic acid, butyric acid, isobutyric acid, valeric acid and isovaleric acid), and EDS analysis of the sludge samples. See DOI: 10.1039/c5ra02362a |
| This journal is © The Royal Society of Chemistry 2015 |