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Energy and the Environment
High-rate Production of Short-chain Fatty Acids from Methane in a Mixed-culture Membrane Biofilm Reactor Hui Chen, Lei Zhao, Shihu Hu, Zhiguo Yuan, and Jianhua Guo Environ. Sci. Technol. Lett., Just Accepted Manuscript • DOI: 10.1021/acs.estlett.8b00460 • Publication Date (Web): 19 Oct 2018 Downloaded from http://pubs.acs.org on October 21, 2018
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High-rate Production of Short-chain Fatty Acids from Methane in a Mixed-culture
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Membrane Biofilm Reactor
3 4
Hui Chen, Lei Zhao, Shihu Hu, Zhiguo Yuan*, Jianhua Guo*
5
Advanced Water Management Centre, The University of Queensland, St Lucia, Queensland 4072,
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Australia.
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*Corresponding author: 1. Jianhua Guo, Phone: + 61 7 3346 3222; FAX: + 61 7 3365 4726; E-
8
mail:
[email protected]. 2. Zhiguo Yuan, Phone: +61 7 3365 4374; FAX: +61 7 3365 4726;
9
E-mail:
[email protected].
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Keywords: methane bioconversion; short-chain fatty acid; membrane biofilm reactor.
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ABSTRACT
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Methane bioconversion to liquid chemicals has attracted much attention. However, the production
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rate reported to date has been far lower than what required for economical viability. This is partly
14
due to the low solubility of methane, low mass transfer rate and low microbial activities. This study
15
demonstrates a production rate of close to 10 g/L.d of short-chain fatty acids (SCFAs) by mixed-
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culture biofilm growing in a membrane biofilm reactor (MBfR). Hollow fiber membranes were
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used both to deliver a high flux of methane and to provide a surface to slow-growing
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microorganisms to form biofilms with intensified activities. The rate achieved is nearly two-orders
19
of magnitude higher than the SCFAs production rate reported to date, and is close to the rates
20
required for practical applications (~12-120 g/L.d). The consortium in biofilm was dominated by
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methanogens
22
Sporolactobacillus and Propionispora, suggesting likely roles of these organisms in methane
Methanosarcina
and
Methanobacterium,
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acid-producing
bacteria
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bioconversion into SCFAs. This work shows methane-based MBfR represents a promising
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technology for achieving high-rate chemical production from methane.
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INTRODUCTION
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The chemical industry is a key sector in the global economy, responsible for the conversion of raw
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materials into tens of thousands of products critical to modern society. The world’s chemical
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market reached $3 trillion in 2013 and is growing at a rate of 8% per annum,1 with crude oil being
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by far the dominant feedstock for the production of chemicals. However, the remaining reserves
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of non-renewable crude oil resources are diminishing and these will become increasingly difficult
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and costly to extract over the coming decades.2 In contrast, huge natural gas reserves have become
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economically recoverable over the last decade (globally estimated at 7.2 × 103 trillion ft3) due to
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new horizontal drilling and efficient extraction technologies.3 In light of this, there is an emerging
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trend in using methane as the source of hydrocarbon for chemical production to take advantage of
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the huge deposits of methane.4
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Although methane can be converted to the market-required chemicals or biofuels through chemical
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processes, the existing technologies (e.g. the Fischer-Tropsch gas-to-liquid process) are capital-
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and energy-intensive, requiring high temperature, high pressure and expensive catalyst.5 These
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technologies are not economically viable for small-scale methane sources, including biogas, which
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is a distributed source of methane with a relatively low supply. Compared with chemical processes,
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microbial conversion processes are more attractive due to its high product specificities, mild
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operational conditions and low energy consumption.6 The biocatalysts are microorganisms able to
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oxidize methane, including both aerobic and anaerobic methanotrophs, which carry natural
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enzymes that can efficiently activate the strong C-H bond in methane.7 Aerobic methanotrophs
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activate the strong C-H bond with enzyme pMMO/sMMO (soluble/particulate methane
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monooxygenases). These enzymes require electrons to activate the C-H bond, which are supplied
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through the oxidation of part of the downstream products to CO2. Therefore, aerobic processes
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have relatively low energy and carbon efficiencies due to the loss of electrons to O2 and loss of
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carbon to CO2. For example, the conversion of methane to n-butanol has a theoretical energy and
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carbon efficiency of 51% and 67%, respectively.5 In contrast, anaerobic methanotrophs oxidize
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methane through the reverse methanogenesis pathway, where methane is activated by MCR
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(methyl-coenzyme M reductase) without the need for electrons or oxygen, thus overcoming the
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carbon and energy efficiency barriers associated with oxygen-dependent processes.
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Recently, there have been a number of attempts directed towards microbially converting methane
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to chemicals, including methanol8, 9 and organic acids10-12. For example, organic acids (e.g., acetate
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and propionate) are important chemical building blocks that can be used as precursors for biofuel
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production.13-15 Additionally, these organic acids, which are readily usable carbon source, can be
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used as electron donors to remove anion-contaminates (e.g., nitrate, nitrite, and sulfate) from
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wastewater or groundwater.16, 17 The previous studies mainly employed pure cultures to achieve
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methane bioconversion. However, pure culture gas fermentation suffers from problems such as
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high operational cost, strain degeneration and contamination.18 In this work, we explore the use of
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mixed-culture for the conversion of methane to short-chain fatty acids (SCFAs).
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MATERIALS AND METHODS
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MBfR Reactor Design
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A lab-scale MBfR with 50 mL working volume was set up to achieve methane bioconversion
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(Figure S1). The MBfR had gas-permeable hollow-fibre membranes (300 μm o.d. and 200 μm i.d.,
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STERAPORE™ 2000 series, composite polymer materials, manufactured by Mitsubishi). One 3 ACS Paragon Plus Environment
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end of the fibers is open, but glued and packed into a polyester tube, while another end is sealed
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with epoxy resin and thus becomes a dead end. The total membrane surface area was 2.41×10-3
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m2, giving an A/V ratio of 48 m2/m3 in the MBfR. Mixed gas (95% CH4 + 5% CO2, Coregas,
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Australia) was delivered to the lumen of the fibers from the open end at 1.25 atm controlled by the
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regulator connected to the gas cylinder. Influent, with composition to be further described, was fed
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to the MBfR at a daily flow rate of 50 mL/d using a peristaltic pump. The reactor was mixed
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continuously by recirculating liquid with a peristaltic pump (Masterflux, USA) at 12.5 mL/min. A
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100 mL overflow bottle with 75 mL headspace was setup for liquid sampling, online pH
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monitoring and final effluent discharge. A water seal bottle was connected to the overflow port of
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the overflow bottle to release effluent and gases (nitrogen, CO2, and residual methane), and also
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to prevent air from getting into the system.
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Operational Conditions and Medium
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The MBfR was operated for about 420 days at room temperature (22 ± 2 ℃). The reactor was
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operated as a sequencing batch reactor (SBR) with a cycle time of 12 h including a 3 min feeding,
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during which 25 mL growth medium was supplied, and a 717 min of biological reaction phase.
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The recirculation pump was stopped during the feeding period, and 25 mL effluent was discharged
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from the overflow bottle in the feeding period. Such an operation was chosen to provide the growth
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medium at a rate of 50 mL/d (0.035 mL/min), which as it is practically difficult to deliver such a
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low flow rate accurately for through continuous operation by of a peristaltic pump. The hydraulic
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retention time (HRT) is calculated to be 1 day, without considering the liquid volume in the
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overflow bottle due to negligible presence of biomass and hence negligible biological activity in
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the bottle. pH of the reactor was monitored by a pH meter (Oakton, Australia) placed in the
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overflow bottle, and was maintained at 7-7.5 by manual dosing of 1 M HCl or 1 M NaOH solution. 4 ACS Paragon Plus Environment
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The medium fed to the MBfR contained (per liter): KH2PO4, 0.075 g; CaCl2·2H2O, 0.3 g;
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MgCl2·7H2O, 0.23 g; NaNO3, 0.4 g; NH4Cl, 0.09 g; acidic trace element solution, 0.5 mL; alkaline
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trace element solution, 0.2 mL.19 Nitrate and ammonium were added to the medium to obtain
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concentration of 300 mg N/L and 90 mg N/L, respectively. The influent was degassed with N2 for
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30 min prior to use.
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Analytical Methods
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Liquid samples of 2 mL was taken from the MBfR twice per week via the overflow bottle with a
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syringe, and were filtered immediately through a 0.22 μm disposable sterile millipore filter (Merck)
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for chemical analysis. The concentrations of NO3--N, NO2—N, and NH4+-N were assayed with a
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Lachat QuickChem8000 Flow Injection Analyser (Lachat Instrument, Milwaukee, WI). The short-
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chain fatty acids (SCFAs) (acetate, propionate, iso-butyrate, butyrate, valerate, iso-valerate, and
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caproate) concentrations were measured with a Shimadzu HPLC system with a Bio-Rad HPLC
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Column (300×7.8mm) and a RID detector. Dissolved oxygen (DO) concentration in the MBfR
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was measured periodically with a DO probe (HACH HQ40d) in the overflow bottle (Figure S1).
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Dissolved oxygen was always below the detection limit. The methane concentration in the liquid
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phase was measured with the method described in Shi et al. (2013)20.
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For microbial community analysis, biofilm samples were collected for DNA extraction on Day
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129 and Day 345 to identify biofilm communities. DNA was extracted using the FastDNA SPIN
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Kit for Soil (MP Biomedicals, Santa Ana, CA, USA) according to the manufacturer’s instructions.
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The extracted DNA was amplified, sequenced and analyzed based on the procedures described in
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the Supporting Information.
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RESULTS AND DISCUSSION
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Short-chain Fatty Acids Production in Methane-based MBfR Reactor 5 ACS Paragon Plus Environment
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A membrane biofilm reactor (MBfR) (Figure 1, Figure S1) was used in this study. A bundle of
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hollow fibre membranes was packed in a sealed bioreactor. Membranes were used to deliver
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methane to the reactor, and also to provide support for the methane utilising organisms, which
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typically grow slowly,21 to grow in biofilms. We inoculated the reactor with an enriched culture20
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performing anaerobic methane oxidation coupled to nitrate reduction, which was dominated by
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two known anaerobic methane oxidation organisms namely Candidatus ‘Methanoperedens
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nitroreducens’ and Candidatus ‘Methylomirabilis’. A layer of biofilm gradually grew on, and
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covered the surface of the hollow fiber membranes after 124-day operation. Liquid samples were
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since collected regularly (2-3 times per week) to monitor the SCFAs concentration in the effluent.
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Acetate, propionate, iso-butyrate, butyrate, valerate, iso-valerate, and caproate were detected, with
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a total SCFAs production rate of 1.72 g/L.d on Day 138 (Figure 1B). Acetate and propionate,
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produced at a rate of 1.27 g/L.d and 0.42 g/L.d, respectively, were the major products, accounting
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for 97.7% of the total SCFAs. The acetate and propionate production rates increased to 4.80 g/L.d
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and 1.84 g/L.d, respectively, on Day 348, raising the total SCFAs production rate to 6.88 g/L.d.
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After Day 348, the acetate production rate remained stable at 4.99 ±0.19 g/L.d, while the
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propionate production rate continued to increase, reaching 3.61 g/L.d on Day 418. The total SCFAs
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production rate steadily increased to 9.63 g/L.d on Day 404. C4, C5, and C6 acids were also
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produced, with the peak production rate for butyrate, iso-butyrate, valerate, iso-valerate, and
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caproate being 0.16 g/L.d (Day 348), 0.05 g/L.d (Day 418), 0.07 g/L.d (Day 418), 0.05 g/L.d (Day
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418), and 0.02 g/L.d (Day 376), respectively. Similar SCFAs production was also observed in a
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parallel reactor operated similarly (Figure S3), confirming the reproducibility of the results.
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Figure 1. The conceptual MBfR system (A) (see Figure S1 for the detailed experimental setup);
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Production rates of total SCFAs, acetate, and propionate (B) and Production rates of iso-butyrate,
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butyrate, valerate, iso-valerate, and caproate (C).
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Replacing the widely used bubbling columns, we employed an MBfR, where gas-permeable
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membranes were used to achieve efficient methane supply and retention/accumulation of methane-
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oxidising organisms. Using this innovative approach, we achieved an SCFAs production rate of
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9.63 g/L.d with methane as the sole organic carbon supplied. This rate is far higher than all
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methane-supported SCFAs production rates reported to date, which ranged from 0.02 to 0.19g/L.d
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(Table S1). In addition, formation of butyrate, iso-butyrate, valerate, iso-valerate, and caproate has
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not been observed in previous studies (Table S1).10,
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various processes for liquid chemicals production from methane (e.g. methanol, acetate, and
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formate), along with the operational conditions applied. To our knowledge, the production rate
22
Table S1 summarizes performance of
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achieved in this work is the highest rate reported to date. It should be noted that this is our first
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attempt to produce liquid chemicals from methane using an MBfR. While our rate is still out of
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the economically viable range of 12 – 120 g-products/L.d,5 we expect that the rate could be
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substantially enhanced through process optimisation. For example, the methane transfer
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coefficient can be substantially enhanced by increasing the density of membranes in the reactor,
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increasing the methane pressure in the lumen of the membrane, or using more efficient membranes.
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Microbial Community Structure and Potential Players in SCFAs production
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We characterized the microbial community of biofilm samples collected on Day 0 (i.e., the
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inoculum), Day 129, and Day 345, using high throughput 16S rRNA gene sequencing. We
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generated an average of ~16600 high-quality 16S rRNA gene sequences per sample (n=3) from
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which we picked 581 operational taxonomic units (OTUs, 97% similar identity) and assigned
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taxonomy. Microbial community composition and their relative abundances in the phylum level
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and genus level are shown in Figure 2A and B, respectively. Phylotypes related to Planctomycetes,
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the NC10 phylum, Euryarchaeota, Chloroflexi, Chlorobi, and Proteobacteria dominated the
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inoculum, accounting for 37.8%, 19.5%, 19.2%, 5.8%, 5.6%, and 4.2%, respectively, of the total
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community (Figure 2A). However, on Day 129, microbial communities shifted and were
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dominated by Proteobacteria, Bacteroidetes, Firmicutes, and Actinobacteria. These four phyla also
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dominated on Day 345. Euryarchaeota also reoccurred in the Day 345 sample, at an abundance of
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14.6%.
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Figure 2. Taxonomic profiles of the microbial communities according to dominant microorganism
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in the inoculum and the MBfR biofilm. A) phyla-level abundance; B) genera-level abundance.
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Minor phyla groups accounting for less than 1% of the total sequence are presented as “others”.
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In the inoculum, both Candidatus ‘Methanoperedens nitroreducens’ and Candidatus
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‘Methylomirabilis’ were detected, with an abundance of 21.0% and 11.6%, respectively (Figure
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2B). Candidatus ‘M. nitroreducens’ and Candidatus ‘Methylomirabilis’ are known methane-
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utilizing organisms using nitrate and nitrite as electron acceptor, respectively.23, 24 However, these
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anaerobic methanotrophs gradually disappeared (Figure 2B). An aerobic methanotroph
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Methylomonas was detected in the Day 129 sample, with an abundance of 1.9%, but disappeared
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in the Day 345 sample. Intriguingly, the phylum Euryarchaeota, which was not detected in the Day
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129 sample but reappeared on Day 345 with a high percentage of 14.6%, comprised
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Methanosarcina at 13.5% and Methanobacterium at 1.1% (Figure 2B). These two are the only
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known methane-relevant microorganisms in the community on Day 345. However, both are known
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as methanogens instead of methanotrophs.25, 26 9 ACS Paragon Plus Environment
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The community data show that neither known anaerobic methanotrophs nor known aerobic
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methanotrophs were present in the bioreactor in periods when high SCFAs production rates were
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observed, eliminating the possibility that these populations contributed to methane activation. In
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contrast, a relatively high abundance of known methanogens was detected, indicating methanogens
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may have been involved in methane activation. The ability of methanogens, e.g. Methanosarcina
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acetivorans, to anaerobically oxidise methane has been observed in some previous studies.27, 28
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Additionally, acetate was found to occur as oxidation products in methanogenic cultures.29-31
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Schilov et al. (1999)29 reported the production of acetate by mixed cultures dominated by the
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methanogens Methanosarcina and Methanosaeta cultivated on methane and bicarbonate. Luo et
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al. (2018)32 implied a possible role of Methanosarcina in the production of acetate. In addition,
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methanogens have also been reported to be able to both produce and consume hydrogen.33 These
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observations suggest that methanogenic microorganisms might be versatile and flexible in their
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metabolic capacity and have the potential to activate methane, which warrants further studies.
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Although acid-producing bacteria were at a negligible level in the inoculum, several typical acid-
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producing microorganisms were found on Day 129, and even higher abundance was observed on
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Day 345. At phylum level, microorganisms affiliated to Bacteroidetes, Firmicutes, and
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Actinobacteria accounted for 14.0%, 3.5%, and 0.9%, respectively, of the community in the Day
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129 sample (Figure 2A). The abundance of Firmicutes and Actinobacteria increased to 20.4% and
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1.6%, respectively, while the abundance of Bacteroidetes slightly dropped to 6.9% on Day 345. A
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few members within Firmicutes, Actinobacteria, and Bacteroidetes are known as anaerobic
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fermenters, which have been reported to be capable of fermenting organic carbons (e.g.
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monosaccharide) to produce SCFAs.34-36 Our analysis showed the enrichment of Propionicimonas,
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Proteiniphilum, and Dysgonomonas over time, and these microorganisms are known for their 10 ACS Paragon Plus Environment
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putative capability of producing acids, e.g., acetic and propionic acids, as fermentation products.37-
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39
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abundance of 12.1% and 6.1%, respectively, on Day 345. Sporolactobacillus and Propionispora
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has been reported to be capable of fermenting organics (e.g. fructose and glucose) to produce
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acids.40, 41 Similar to Sporolactobacillus and Propionispora, Pelosinus that was enriched with an
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abundance of 1.8% on Day 129, can produce acids from glucose or other sugars.42
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The relatively high abundance of methanogens (14.7%) and acid-producing bacteria (25.1%) in
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the community suggests a possibility that anaerobic methanogens and acid-producing bacteria
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jointly converted methane into SCFAs. These two kinds of microorganisms could have formed a
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carbon sharing partnership, where methane was converted by the methanogens into some organic
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intermediates, which were further degraded into SCFAs by the acid-producing bacteria. Similar
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microbial communities including both methanogens and acid-producing bacteria were also
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observed in a parallel reactor operated (Figure S5), indicating the reproducibility of the 16S rRNA
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gene sequencing results.
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Possible Reactions Involved in Methane Conversion to SCFAs
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In the liquid feed to the reactor, we provided nitrate at a concentration of 300 mg N/L. This
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provision was based on our previous observation that Candidatus ‘M. nitroreducens’ can oxidise
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methane to acetate as well, using nitrate as an electron acceptor.
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10CH4 + 8NO3- + 8H+ → 5CH3COOH + 4N2 + 14H2O; △G0' = -393 kJ mol-1 CH4
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The MBfR was operated with a hydraulic retention time (HRT) of 1 day, giving a nitrate loading
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rate of 300 mg N/L.d. Nitrate in the effluent was negligible (Figure S4), which means nitrate was
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consumed at a rate of approximately 300 mg N/L.d. Even assuming that all nitrate was used in
Sporolactobacillus and Propionispora, affiliated to Firmicutes, were enriched with a high
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Reaction (1), i.e., nitrate was not used to oxidise methane or SCFAs to CO2,24 acetate would be
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produced at a rate 804 mg/L.d, according to the reaction stoichiometry, which is far lower than
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what measured (Figure 1).
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To provide good mixing in the MBfR, we included external recirculation (Supporting Information,
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Figure S1). We later identified that the tubing (Tygon E-Lab tubing, internal diameter 3.1 mm,
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Masterflex, Cole-Parmer) used for the medium recirculation was permeable to air. We
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experimentally determined an oxygen transfer rate of 10.0 mg/L.d (Supporting Information). The
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provision of oxygen could have triggered aerobic methane oxidation to organic acids, although
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dissolved oxygen was not detected in the MBfR:
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2CH4 + 2O2 → CH3COOH + 2H2O; △G0' = -387 kJ mol-1 CH4
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However, even assuming that oxygen thus provided was not used for methane or SCFAs oxidation
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to CO2, the acetate production rate is estimated to be 9.4 mg/L.d, which is negligible compared to
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the measured SCFAs production rate. The above mass balance analysis suggests that CO2, the only
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other potential electron acceptor in the MBfR, could have been involved in the reaction:
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CH4 + CO2 → CH3COOH; △G0' = 36 kJ mol-1 CH4
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CO2 was available in the reactor because the gas feed contained CO2 at 5%. Although this reaction
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is thermodynamically unfavourable, the limited amount of energy required for this process could
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have been made available by coupling with other electron accepting pathways (e.g. nitrate and
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oxygen reduction) (Reaction 1 and Reaction 2). A thermodynamically feasible pathway has been
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proposed in a genome-scale metabolic model of M. acetivorans for the co-utilization of methane
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and bicarbonate in the presence of Fe3+, NO3-, SO42-, and MnO2 as external electron acceptors,
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which makes an overall negative △G to ensure the thermodynamic feasibility of the 12 ACS Paragon Plus Environment
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methanogenesis reversal.43 Furthermore, Soo et al. (2016)44 have confirmed the co-metabolism of
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methane and bicarbonate into acetate using Fe3+ as the electron acceptor through
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labelling of bicarbonate and methane, catalysed by an engineered methanogen Methanosarcina
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acetivorans. It is worth noting that the use of CO2 as the primary electron sink, if proven, would
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dramatically enhance both the energy and carbon efficiencies in methane bioconversion to SCFAs.
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Practical Implications and Future Investigations
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Natural gas, consisting primarily of methane, is being increasing used as a feedstock for the
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production of liquid chemicals to augment the petroleum-dominated chemical market. However,
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the chemical-engineering-based technologies (e.g. Fischer-Tropsch process) used currently to
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achieve this conversion are capital- and energy-intensive, requiring high temperature, high
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pressure and expensive catalysts. These technologies are not suitable for the small and distributed
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methane sources that are being increasingly discovered. Consequently, small gas sources are
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currently not utilized (vented or flared), causing not only significant resource wastage but also
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greenhouse gas emissions. Alternatively, microbial production of liquid chemicals using methane
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as feedstock incurs much lower capital and operational costs. For the first time, a methane-based
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MBfR was successfully applied to achieve methane bioconversion to SCFAs by mixed cultures.
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We obtained an SCFAs production rate of 9.63 g/L.d, which is two orders of magnitude higher
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than the SCFAs production rate reported in previous studies and is close to the rates required for
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industrial applications. The methane-based MBfR represents a highly promising technology for
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both efficient methane delivery and effective retention of slow-growing microorganisms,
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potentially overcoming the kinetic limitation for methane bioconversion to liquid chemicals.
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However, it should be noted that more studies are needed to elucidate the detailed reactions
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involved and reveal the functions of the key members of a surprising microbial community in our 13 ACS Paragon Plus Environment
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reactor. Firstly, further experiments (e.g. isotopic labelling test, and metagenomic and
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metatranscriptomic analyses) are needed to confirm the co-metabolism of methane and CO2 in the
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reactor. In addition, it is still unclear whether bioconversion of CH4 to SCFAs is a direct process,
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or an indirect process where CH4 was firstly converted into intracellular (e.g. glycogen and
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polyhydroxyalkanoates) or extracellular compounds (e.g. extracellular polymeric substances),
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then these intermediate compounds were further converted to SCFAs. Furthermore, the enigmatic
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role of key members of the microbial community (e.g. methanogens) should be identified by
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multiple molecular methods. For example, it is worthwhile to further verify the quantified results
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obtained from 16S rRNA sequencing by using quantitative polymerase chain reaction (qPCR). In-
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depth metagenomic and metatranscriptomic studies are required to verify this hypothesis and to
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reveal the metabolic pathways involved in methane conversion to SCFAs. Answers to these
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research questions will provide insights to support further enhancement of methane bioconversion
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to liquid chemicals.
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CONFLICTS OF INTEREST
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There are no conflicts to declare.
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ASSOCIATED CONTENT
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Additional method details and supporting data in figures and tables.
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ACKNOWLEDGEMENTS
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This work was financially supported by the Australian Research Council (ARC) through the
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project Australian Laureate Fellowship (FL170100086). Jianhua Guo would like to acknowledge
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the Australian Research Council Future Fellowship (FT170100196). Hui Chen would like to
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acknowledge The University of Queensland for her IPRS scholarship support.
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