Abstract
Previous study has shown that co-culturing acetogenic bacterium Sporomusa ovata (SO), with denitrifying bacterium Pseudomonas stutzeri (PS), is a promising strategy to enhance the microbial denitrification for nitrate-contaminated groundwater remediation. However, the mutual effects and reaction kinetics of these two bacteria in the co-culture system are poorly understood. In this study, a mathematical model for this co-culture system was established to fill this knowledge gap. Model simulation demonstrated that SO had a significant effect on the kinetics of denitrification by PS, while PS slightly affected the kinetics of acetate production by SO. The optimal initial HCO3-/NO3- ratio and SO/PS inoculation ratio were 0.77–1.48 and 67 for the co-culture system to achieve satisfied denitrification performance with less acetate accumulation. Finally, the minimum hydrogen supply was recommended when the initial bicarbonate and nitrate concentrations were assigned in the range of 2–20 mM and 2–4 mM for simulating the natural nitrate-contaminated groundwater treatment. These findings could provide useful insights to guide the operation and optimization of the denitrification co-culture system.
HIGHLIGHTS
A mathematical model for the co-culture system comprising Sporomusa ovata and Pseudomonas stutzeri was proposed.
The mutual effects between these two bacteria were revealed.
The optimal initial HCO3−/NO3− ratio was 0.77–1.48 for the co-culture system to achieve satisfied denitrification performance.
The minimum hydrogen supply was simulated under different bicarbonate and nitrate concentration conditions.
NOMENCLATURE
Total amount of hydrogen
- r
The net reaction rate of substrate, mol/(mol·s)
Specific rate for dissolved hydrogen consumption
- p
The partial pressure of hydrogen gas, Pa
The concentration of hydrogen in the liquid phase, mol/m3
Gibbs energy, J
Gibbs energy generated per mole of electrons, J/mol
- γ
The reduction degree
- ρ
Absolute reaction rate
Abbreviations
Superscripts
INTRODUCTION
Nitrate contamination in groundwater has become a global problem (Gao et al. 2020), which is often caused by anthropogenic activities such as excess fertilizer application in agricultural fields and improper discharge of sewage or treated wastewater (Mencio et al. 2016; Yang & Toor 2017). Considering that high concentration of nitrate would pose threats to aquatic ecosystems and public health, such as eutrophication of water bodies and methemoglobinemia in infants (Capodici et al. 2018), the World Health Organization (WHO) has set a recommended maximum contaminant level (MCL) of 11 mg/L -N in drinking water, and the United States Environmental Protection Agency (USEPA) promulgates a lower enforceable MCL of 10 mg/L -N (Garcia-Segura et al. 2018).
To date, many methods have been developed to treat nitrate-contaminated groundwater (Lazaratou et al. 2020). Compared to physicochemical methods such as reverse osmosis (Epsztein et al. 2015; Talalaj 2015) and chemical reduction (Hosseini et al. 2018), biological denitrification has been widely applied due to its cost-effectiveness, high nitrate removal efficiency, and environmental-friendliness (Costa et al. 2018; Rezvani et al. 2019). Biological denitrification can be divided into autotrophic denitrification and heterotrophic denitrification depending on the electron donor/carbon source used. Heterotrophic denitrification using organic compounds (e.g., acetate) is considered as a more effective and operable approach in the field compared to autotrophic denitrification using inorganic compounds (e.g., sulfide) (Di Capua et al. 2019). However, the addition of excessive organic electron donors to groundwater may lead to excessive biomass growth and may further clog the aquifer. In addition, residual organics and metabolites may cause secondary contamination of groundwater (Amoako-Nimako et al. 2021).
In our previous study, a co-culture system consisting of an acetogenic bacterium Sporomusa ovata (DSMZ2662) and a denitrifying bacterium Pseudomonas stutzeri (JCM20778) achieved denitrification using H2 as the sole external electron donor and CO2 as the sole external carbon source, where S. ovata (SO) used H2 and CO2 to produce acetate for supporting microbial denitrification by P. stutzeri (PS) (Xiao et al. 2016). The advantage of this co-culture system is that it provides organic substrates through a slow-released microbial process rather than by direct addition, allowing more effective use of substrates. The good performance and stability of the denitrification activity of the co-culture system was demonstrated by a long-term test of 61 days. However, it has not been validly assessed whether the instability of acetate production was related to SO/PS inoculation ratio, and the influence of the important factors on further improving the denitrification performance and how to control the acetate concentration in the co-culture system is also unclear. Understanding these issues by experimental means is a tedious and time-consuming process, which also cannot provide a comprehensive study on the interactive behavior between SO and PS, as well as their reaction kinetics.
Mathematical modeling is a useful tool to predict the substrates changes and microbial community shifts, analyze the interactive effect of the dynamic factors, optimize the multi-species system performance, and provide strong support for understanding the impact of the key factors and their trade-offs in a complex system. Recently, Kubannek et al. (2020) established a mathematical simulation model to describe the substrate consumption and metabolite production in a co-culture system of Raoultella electrica and Geobacter sulfurreducens and further to gain quantitative insights into the biochemical process and to identify the limiting factors of the co-culture system. Chen et al. used a mathematical model to investigate the development of an integrated microbial community containing anammox bacteria, denitrifying anaerobic methane oxidation (DAMO) archaea, and DAMO bacteria under different operational conditions, and further to identify the key limiting factors, to optimize the system performance, and to reveal the cooperation between multi-species (Chen et al. 2016). Although current existing models have been demonstrated to describe the substrate consumption and predict the performance of the multi-species system, little effort has been dedicated to model the interactive behavior between the multi-species, which is very helpful for understanding the underlying mechanisms.
Therefore, based on our previous work (Xiao et al. 2016), we established a mathematical model of a microbial denitrification co-culture system consisting of SO and PS for the first time to investigate the biomass variation of SO and PS in the co-culture system and to comprehensively explore the denitrification performance of the co-culture system under different substrate concentrations and SO/PS inoculation ratio conditions. The novelty of our model differed from other studies was that we emphasized the interactive metabolic behaviors of the two species and comprehensively analyzed the mutual effects between the two species. The main simulation objectives are (1) investigating the effect of SO on the denitrification reaction of PS by varying single parameter of the acetate production substrates of SO (SO biomass, hydrogen, bicarbonate), and the effect of PS on the acetate production reaction of SO by varying a single parameter of the denitrification reaction substrates of PS (PS biomass, nitrate) to reveal the mutual influences between SO and PS; (2) exploring the effects of bicarbonate to nitrate ratio and SO/PS inoculation ratio on the denitrification performance of the co-culture system; (3) evaluating the minimum hydrogen supply of the co-culture system for treating simulated natural nitrate-contaminated groundwater.
METHODOLOGY
Model description
Model assumption
Microbial growth coefficient equation
The bacterial growth model was established based on the metabolic reactions of the two species (Equations (1) and (2), and the associated parameters were listed in Table 1, the microbial growth coefficient equation was equated according to Heijnen & Kleerebezem (2010).
Parameter . | Definition . | Values . | Unit . |
---|---|---|---|
Calculation constants | |||
The volume of liquid phasea | 0.02 | L | |
The volume of gas phasea | 0.04 | L | |
R | Ideal gas constant | 8.314 | |
T | The temperature of this system | 298.15 | K |
Henry's constant for hydrogenb | 7.8 × 10−6 | ||
β | The volume ratio of gas to liquida | 2 | Dimensionless |
Stoichiometric coefficients | |||
Yield bicarbonate from SO-substratec | 0.4972 | ||
Yield SO biomass on substratec | 0.055 | ||
Yield acetate from SO-substratec | 0.2211 | ||
Yield coefficient from PS-substratec | 0.8186 | ||
Yield PS biomass on substratec | 0.9302 | ||
Yield bicarbonate from PS-substratec | 1.0698 | ||
Yield nitrogen from PS-substratec | 0.4093 | ||
System components (initial default value) | |||
The total initial default amount of hydrogend | 0.26 | mmol | |
Initial default bicarbonate concentratione | 4 | mM | |
Initial SO concentrationf | 0.03 | mol C/m3 | |
Initial PS concentrationf | mol C/m3 | ||
Initial default nitrate concentrationd | 1.5 | mM |
Parameter . | Definition . | Values . | Unit . |
---|---|---|---|
Calculation constants | |||
The volume of liquid phasea | 0.02 | L | |
The volume of gas phasea | 0.04 | L | |
R | Ideal gas constant | 8.314 | |
T | The temperature of this system | 298.15 | K |
Henry's constant for hydrogenb | 7.8 × 10−6 | ||
β | The volume ratio of gas to liquida | 2 | Dimensionless |
Stoichiometric coefficients | |||
Yield bicarbonate from SO-substratec | 0.4972 | ||
Yield SO biomass on substratec | 0.055 | ||
Yield acetate from SO-substratec | 0.2211 | ||
Yield coefficient from PS-substratec | 0.8186 | ||
Yield PS biomass on substratec | 0.9302 | ||
Yield bicarbonate from PS-substratec | 1.0698 | ||
Yield nitrogen from PS-substratec | 0.4093 | ||
System components (initial default value) | |||
The total initial default amount of hydrogend | 0.26 | mmol | |
Initial default bicarbonate concentratione | 4 | mM | |
Initial SO concentrationf | 0.03 | mol C/m3 | |
Initial PS concentrationf | mol C/m3 | ||
Initial default nitrate concentrationd | 1.5 | mM |
aFrom Xiao et al. (2016).
bFrom Sander (2015).
cCalculated from stoichiometric coefficient based on Equations (1) and (2).
dCalculated from Xiao et al. (2016).
eBased on Wu & Sun (2016).
fCalculated from Picioreanu et al. (2007).
Gas–liquid distribution of hydrogen
Due to that bicarbonate rather than carbon dioxide was the substrate for SO, and the produced nitrogen gas had no effect on the co-culture system, we only considered the gas–liquid distribution of hydrogen in the co-culture model.
Mass balances in bulk liquid
The specified initial conditions SB(t = 0) = S0 for all soluble components. r was the net reaction rate of substrate utilization by microorganisms (SO and PS).
Microbial reaction kinetics
The microbial reaction kinetics was based on the Monod dual-substrate model, and the model was represented in the form of a stoichiometric matrix, as shown in Table 2. The rows listed the kinetic processes, while the columns listed the components involved in these processes.
j . | I . | 1 . | 2 . | 3 . | 4 . | 5 . | 6 . | Reaction rate () . |
---|---|---|---|---|---|---|---|---|
1 | Autotrophic growth of SO | |||||||
2 | Heterotrophic growth of PS |
j . | I . | 1 . | 2 . | 3 . | 4 . | 5 . | 6 . | Reaction rate () . |
---|---|---|---|---|---|---|---|---|
1 | Autotrophic growth of SO | |||||||
2 | Heterotrophic growth of PS |
The fundamental model was implemented with MATLAB 2018. In the MATLAB base script file, we defined the biological, physical, and chemical parameters relevant to this model and established the preliminary model framework. The model parameters were adjusted, and some of the scripts were modified depending on the research objectives.
Model calibration
Parameter . | Definition . | Typical values . | Calibrated values . | Unit . |
---|---|---|---|---|
Maximum specific rate constant for hydrogen consumption | 2.8a | 2.952 | (mmol hydrogen) (mmol C biomass)−1 day−1 | |
Monod half-saturation coefficient for substrate hydrogen | 2.3 × 10−3a | 2.3 × 10−3 | mM | |
Monod half-saturation coefficient for substrate bicarbonate | 0.02b | 0.02 | mM | |
Maximum specific rate constant for acetate consumption | 5.2c | 5.25 | (mmol acetate) (mmol C biomass)−1 day−1 | |
Monod half-saturation coefficient for substrate acetate | 1.8d | 1.954 | mM | |
Monod half-saturation coefficient for substrate nitrate | 0.04d | 0.044 | mM |
Parameter . | Definition . | Typical values . | Calibrated values . | Unit . |
---|---|---|---|---|
Maximum specific rate constant for hydrogen consumption | 2.8a | 2.952 | (mmol hydrogen) (mmol C biomass)−1 day−1 | |
Monod half-saturation coefficient for substrate hydrogen | 2.3 × 10−3a | 2.3 × 10−3 | mM | |
Monod half-saturation coefficient for substrate bicarbonate | 0.02b | 0.02 | mM | |
Maximum specific rate constant for acetate consumption | 5.2c | 5.25 | (mmol acetate) (mmol C biomass)−1 day−1 | |
Monod half-saturation coefficient for substrate acetate | 1.8d | 1.954 | mM | |
Monod half-saturation coefficient for substrate nitrate | 0.04d | 0.044 | mM |
aCalculated from London et al. (2011).
bFrom Kazemi et al. (2015).
cCalculated from Picioreanu et al. (2007).
dCalculated from Feng et al. (2020).
Model simulation
The kinetic equations of the two species were coupled for simulation. We investigated the mutual effects of the two species, specifically the effects of SO biomass amount, initial hydrogen supply, and initial bicarbonate concentration on the kinetics of the denitrification reaction by PS, and the effects of PS biomass amount, initial nitrate concentration, PS inoculation time on the kinetics of the acetate-producing reaction by SO. After that, the ratio of nitrate removal amount to hydrogen consumed amount (△/△H2, which represents the denitrification co-culture system performance, larger value means better performance) was simulated under different substrate concentrations and inoculation conditions for predicting the co-culture system performance. Finally, the initial bicarbonate and nitrate concentrations were set in the range of 2–20 mM and 2–4 mM (natural nitrate-contaminated groundwater condition), and the minimum hydrogen supply was simulated.
The initial bicarbonate and nitrate concentrations for simulation at different scenarios were selected according to the reported values of the natural nitrate-contaminated groundwater (Tsai et al. 2004; Wick et al. 2012; Wang & Chu 2016; Wu & Sun 2016). The initial hydrogen amounts for simulation were selected after preliminary simulation, and the selected values could indicate significant changes in the co-culture system performance. The initial biomass amounts of PS and SO were selected by referring to the experimental data from our previous study (Xiao et al. 2016) and relevant literatures (Picioreanu et al. 2007). After the reaction, the ultimate nitrate concentration would not exceed 0.7 mM (9.8 mg/L -N, meeting the drinking water standard of WHO) and the accumulated acetate concentration would not exceed 0.5 mM (10 mg/L COD).
RESULTS AND DISCUSSION
Effect of SO on the denitrification reaction by PS
Effect of initial SO biomass amount on the denitrification reaction by PS
Effect of hydrogen supply and bicarbonate concentration on the denitrification reaction by PS
The effect of the initial bicarbonate concentration on the kinetics of the denitrification reaction by PS was similar to that of hydrogen supply (Figure 4(c) and 4(d)). When the initial bicarbonate concentration increased from 0.8 to 4 mM, the PS biomass growth and nitrate removal were both accelerated, which was caused by the increased acetate production by SO (Figure S5 in Supplementary material). Because other substrates were sufficient (Figure 4(c) and Figure S6 in Supplementary material), bicarbonate concentration might be the only limiting factor for PS denitrification reaction when its value was lower than 4 mM. However, when the initial bicarbonate concentration increased to 8 mM, the PS biomass growth and nitrate removal did not continue to be accelerated and remained the same values with that of the initial bicarbonate concentration of 4 mM. This indicates that bicarbonate did not limit the PS denitrification reaction when its value exceeded 4 mM. Under such conditions, the hydrogen amount might limit the PS denitrification reaction. In addition, the half-saturation constant of bicarbonate was estimated as 1.06 mM, and the reaction kinetics would become zero order when the initial bicarbonate concentration was higher than 1.80 mmol.
Furthermore, we calculated the ratios of consumed hydrogen vs. produced nitrogen gas from the simulated data in Figure 4(a) (initial hydrogen amount was 0.26 mmol). When the acetate production rate by SO was equal to the acetate consumption rate by PS in the co-culture system, the calculated ratio of consumed hydrogen vs. produced nitrogen gas was 11.06, which was in accordance with the reaction stoichiometric ratio of 11.05. Such a finding also indicates that the simulated model results could properly reflect the expected reaction stoichiometry in the co-culture system.
Effect of PS on the acetate-producing reaction by SO
Effect of initial PS biomass amount on the acetate-producing reaction by SO
Effect of initial nitrate concentration on the acetate-producing reaction by SO
Effect of different inoculation times of PS on the acetate-producing reaction by SO
Predicting the co-culture system performance
System performance under different initial / ratios
System performance under different SO/PS inoculation ratio conditions
Figure 8(c) and 8(d) shows the variations of △/△H2 values and accumulated acetate concentrations in the co-culture system over time under different SO/PS inoculation ratio conditions. As the SO/PS inoculation ratio increased, the reaction time for the co-culture system to reach the maximum △/△H2 value was shortened, and the acetate accumulated amount was increased. For instance, when the SO/PS inoculation ratio increased from 1 to 10, the reaction time for the co-culture system to reach the maximum △/△H2 value was decreased from 52 to 36 days, while the maximum acetate accumulated concentration increased from 0.32 to 0.36 mM. Therefore, it is particularly important to control the SO/PS inoculation ratio in the co-culture system. Based on the simulation results, when we set the constraint condition that the accumulated acetate concentration would not exceed 0.5 mM, the simulated optimal SO/PS inoculation ratio was 67 with the highest △/△H2 value (denitrification performance) in the co-culture system. In our previous experimental study (Xiao et al. 2016), the acetate concentration was very low in the early stage of the long-term test, which was likely related to the lower initial SO/PS inoculation ratio because other substrates had slight effects on the acetate concentration from the simulation results in the present study (Figure 6(d), Figure 8(b) and Figure S4b). It seems that the intermediate product acetate could act as an indicator to regulate the SO/PS inoculation ratio in the co-culture system, which was similar to the indicator of VFA for regulating the methane production performance in anaerobic methanogenic systems (Lim et al. 2020).
Minimizing hydrogen supply under different bicarbonate and nitrate concentration conditions
Implications
In contrast to previous work (Xiao et al. 2016), we verified the effect of SO/PS inoculation ratio on acetate accumulation and detailedly examined the effects of substrates concentrations on the denitrification performance in the co-culture system. It is noticeable that the performance of the co-culture system is the result of trade-offs between multiple impacts of individual factors including substrate concentrations and inoculation conditions. For instance, the initial bicarbonate concentration would not only directly affect the growth rate of SO, but also affect the growth rate of PS via acetate concentration. Compared to other multi-species simulations focusing on the effect of process parameters on overall system performance (Chen et al. 2016; Kubannek et al. 2020), we emphasized the mutual influences between SO and PS. The mutual effects simulations between the two species showed that SO had a significant effect on the denitrification kinetics of PS, while PS had a slight influence on the acetate-producing kinetics of SO. This will help us understand the cooperation relations between the two species and provide useful information for controlling the community populations. The co-culture system performance under different substrate concentration and inoculation ratio was simulated to predict the denitrification performance and further to find the optimal values of these parameters. Additionally, the minimum hydrogen supply was predicted under simulated natural nitrate-contaminated groundwater conditions. These will offer a basis for the further engineering of this co-culture system.
CONCLUSIONS
The mathematical model results presented in this study indicated which relationships may be critical for the co-culture system performance and provided the direction for the next round of experiments to test these hypotheses. Simulation results showed that SO had a significant effect on the kinetics of denitrification by PS, while PS slightly affected the kinetics of acetate production by SO. Increasing the SO/PS inoculation ratio would shorten the reaction time for the co-culture system to reach the maximum △/△H2 value; however, the maximum accumulated acetate concentration increased. The co-culture system achieved satisfied performance at initial / ratio ranging from 0.77 to 1.48. The minimum hydrogen supply was recommended when the bicarbonate and nitrate concentrations were assigned in the range of 2–20 mM and 2–4 mM for simulating the natural nitrate-contaminated groundwater treatment.
ACKNOWLEDGEMENTS
This work was financially supported by the National Natural Science Foundation of China (grant numbers 51908281 and 41807122).
DATA AVAILABILITY STATEMENT
All relevant data are included in the paper or its Supplementary Information.
CONFLICT OF INTEREST
The authors declare there is no conflict.