Simultaneous effects of pH and substrate concentration on hydrogen production by acidogenic fermentation | Cubillos | Electronic Journal of Biotechnology
Full Text - Simultaneous effects of pH and substrate concentration on hydrogen production by acidogenic fermentation
Process Biotechnology
Electronic Journal of Biotechnology ISSN: 0717-3458 Vol. 13 No. 1, Issue of January 15, 2010
© 2010 by Pontificia Universidad Católica de Valparaíso -- Chile Received March 14, 2009 / Accepted August 6, 2009
DOI: 10.2225/vol13-issue1-fulltext-6
Simultaneous effects of pH and substrate concentration on hydrogen production by acidogenic fermentation
Genoveva Cubillos
Escuela de Ingeniería Bioquímica
Valparaíso, Chile
Ramon Arrué
David Jeison
Temuco, Chile
Rolando Chamy
Estela Tapia
Escuela de Ingenieria Bioquimica
Gonzalo Ruiz-Filippi*
General Cruz 34, Valparaíso, Chile
E-mail: gonzalo.ruiz@ucv.cl
*Corresponding author
Financial support: Fondecyt 1060220 and 1090482 project from the Chilean Council for Research in Science and Technology (CONICYT) and ALEGAS from PUCV, Chile.
Keywords: acidogenic, Gompertz modified, heat treatment, hydrogen, surface response.
COD: Chemical Oxygen Demand
GHG: greenhouse gases
VFA: Volatile Fatty Acids
VSS: Volatile Suspended Solid
The present research examined the effects of initial substrate concentration and pH on the yield and productivity of hydrogen production by acidogenic fermentation. Assays were carried out at three different initial pH levels (5.5, 6.5 and 7.5) and three initial substrate concentrations (3, 5 and 10 g COD/L). Glucose was used as carbon source and the experiments were conducted at 37°C in batch tests, after a thermal pretreatment to eliminate methanogenic microorganisms. Conversions of glucose into hydrogen were between 16.75 and 27.25% of theoretical maximum, and high values of hydrogen productivity were obtained. An optimum value for the yield of glucose between initial pH of 6.3 and 3.7 g COD/L and productivity of the 5.95 H2/gVSS h and initial pH of 6.7 and 10 g COD/L were obtained from the response surface.
Hydrogen is an important and efficient energy carrier which can be produced by renewable processes and that presents numerous advantages: it produces minimum levels of greenhouse gases (GHG) during its combustion (water is the final product), and it has a very specific energy yield per unit of mass (3.3 times more than that of methane) (Park et al. 2005). Most hydrogen is currently produced mainly by reforming of natural gas which makes it non renewable and therefore carry greenhouse emissions in its life cycle. If hydrogen is to make an impact in global reduction of GHG emissions it must be produced from renewable resources such as bioconversion of organic residues.
Hydrogen is an intermediate compound in the anaerobic digestion process. It is a co-product during the acidogenic conversion of monosaccharides, amino acids or lipids and subsequently consumed by hydrogenotrophic methanogenic microorganisms that produce methane from H2 and CO2. Biological waste and wastewater treatment by anaerobic digestion is an economically and environmentally sustainable technology (Noike and Mizuno, 2000) that has grown substantially over the last two decades. With hydrogen production through anaerobic conversion not only renewable energy is produced, but it is also a system for efficiently wastewater treatment.
Most of the reactions that produce hydrogen during anaerobic digestion are not far from thermodynamic equilibriums (Valdez-Vasquez et al. 2005) and therefore in order to avoid process inhibition the concentration of the reactions products in the liquid phasemust remain low (Speece, 1996). Hydrogen concentration in the liquid is furthermore reported to much higher than the equilibrium values (Kraemer and Bagley, 2008). Indeed, a high partial pressure or hydrogen concentration has been found to suppress hydrogenase enzyme activity (Logan et al. 2003).
pH, microbial species and substrate type and substrate concentration have been reported as the most important variables affecting the productivity of hydrogen by anaerobic digestion.
The pH of the culture medium is a fundamental parameter during the acidogenesis process due to its implications on the volatile fatty acids (VFA) speciation and well known inhibitory effects. pH can decrease sharply due to VFA accumulation, so its control is of crucial importance (Oh et al. 2002). Van Ginkel et al. (2001) studied hydrogen production at different pH values. The best results were obtained between a pH of 5.5 and 6.0, using sucrose as the carbon source. Batch assays were carried out by Oh et al. (2003), and the best results were reported at a pH of 6.2. Zhao and Yu (2008), using sucrose-wastewater, observed the optimum hydrogen production rate between pH of 6.5 and 7.5 in a UASB reactor, however the hydrogen production in a UASB reactor is unstable because it has high solids residence time and the methanogenic microorganisms have time to grow and consume the hydrogen produced.
The aim of this study was to assess the simultaneous influence of pH and substrate concentration on the yield and productivity of hydrogen production by acidogenic fermentation using glucose as the carbon source.
Batch experiments
The study of hydrogen production was carried out using glucose as carbon source at three concentrations: 3, 5 and 10 gCOD/L. For each concentration, three different initial pH levels were studied: 5.5, 6.5 and 7.5. Serum bottles with total volumes of 310 mL containing 250 mL of medium were used. Assays were performed at 37ºC by means of a thermostatic bath. The culture media had the following composition: NH4HCO3 (2.0 g/L), KH2PO4 (1.0 g/L), MgSO47H2O (0.1 g/L), NaCl (0.01 g/L), NaMoO4·2H2O (0.01 g/L), CaCl2·2H2O (0.01 g/L), MnSO4·7H2O (0.0 15 g/L) and FeCl2 (0.2 g/L). Each bottle was inoculated with sludge in order to obtain an initial biomass concentration of 1.5 g VSS/L. The biomass used as an inoculum was obtained from an anaerobic continuous stirrer tank reactor (CSTR) treating sludge from an aerobic biological wastewater plant. The sludge was washed to remove residual organic matter. To eliminate the methanogenic biomass, each seeded bottle was subjected to thermal treatment in an oven for 2 hrs at 100ºC. The volume of water lost during this pretreatment was restored to maintain the initial biomass concentration. Each assay was carried out in triplicate.
Before fermentation, bottles were flushed with pure nitrogen for 10 min to remove the oxygen from the culture medium and headspace. The pH was then adjusted to the previously defined levels with different amounts of hydrochloric acid (0.1N HCl) and sodium hydroxide (0.1N NaOH) were used, and phosphate buffer (0.1M) was used to maintain the pH during each experiment. This buffer concentration should not induce phosphate inhibition (Preliminary study, data not shown).
The volume of hydrogen produced was measured by volume displacement of a 2N sodium hydroxide solution that absorbed the carbon dioxide present in the biogas. The displaced volume was then considered to be equal to the hydrogen production. Biogas composition was verified on a daily basis by gas chromatography and negligible methane concentrations were found in all cases.
Determination of yield and productivity
Substrate (glucose) to product (hydrogen) yield was evaluated according to equation 1:
where YP/S is the yield, ∆P is the amount of produced H2 and ΔS is the amount of consumed substrate.
The maximum productivity was evaluated by the Gompertz modified model (Equation 2), commonly used in the modeling of hydrogen production by acidogenic fermentation (Khanal et al. 2004; Fang et al. 2006):
where H is the hydrogen production in the time (mL/h), Hm is the total final production of hydrogen (mL), Rm is the maximum hydrogen productivity (mL/h) and λ is the lag time (period between inoculation until observation of H2 production) (Mu et al. 2007). The Gompertz model provided an adequate fit to experimental.
In order to assess the combined effect of pH and initial concentration of glucose (the factors considered in this study) on the yield and productivity (the responses), a surface response test for both factors was performed. Equation 3 was used for the surface response, which corresponds to a 2nd order polynomial equation with interactions between both independent factors.
where β1, β2..., β5 are constant parameters of both responses, yield and productivity. The parameter fit was carried out in Statgraphic Plus®.
Total Suspended Solids (TSS) and Volatile Suspended Solids (VSS) were analyzed according to the procedures described in APHA et al. (1995). Chemical Oxygen Demand (COD) was measured using colorimetric methods, Method 5220C, Standard Methods (APHA, 1995). Glucose concentrations were measured by the method developed by Miller (1959), which determines the reducing sugar concentration. Prior to COD and glucose determinations, samples were centrifuged at 15,000 rpm for 10 min in order to remove suspended solids.
Each experiment lasted for around 30 hrs initial lag periods (λ) were observed in all the experiments in the range of 11-13 hrs for the initial substrate concentrations of 3 and 5 g COD/L. At the highest substrate concentration, 10 g COD/L, larger λ of 16 hrs was observed. Hydrogen production commenced after approximately 50% of the substrate was consumed, around 7 hrs after substrate consumption started. Glucose was completely consumed in the assays at lower COD concentration after 30 hrs, under most of the conditions tested. At high COD concentrations, some glucose left was detected after this time period. As shown in Table 1, the degradation efficiency of glucose was greater than 97% at most of the pH values tested. The maximum degradation efficiencies (100%) were observed at an initial pH of 6.5 and a glucose concentration of 3 g/L and at an initial pH of 7.5 with glucose concentrations of 3 and 5 g/L, while the minimum value (97.0%) was found at an initial pH of 5.5. This indicates initial pH does not significantly affect glucose degradation. This can be explained by the increase of VFA concentration, which caused a decrease in the pH since the buffer was not working at its most effective range (pKa = 7.21) and thus hydrogen production was somewhat inhibited (Khanal et al. 2004). For example, Duangmanee et al. (2007) observed that a low fermentation pH of approximately 4.0 inhibits hydrogen production. The initial and final pH values of fermentation were measured to determine whether the buffer used was able to maintain a constant pH. As expected, lower pH variations were obtained at the lowest substrate concentrations (0.31-0.72 units of pH), whereas the greater variations were obtained at the highest concentrations (0.78-1.78 units of pH).
Table 1 shows the results of the yield and maximum specific productivity obtained for each experiment.
Taking into account that 1 mol of glucose can theoretically produce a maximum of 4 mol of H2 considering acetic acid as the final product of the reaction, a 26.75% conversion efficiency (related to the maximum theoretical) was achieved at pH 6.5 and initial substrate concentration of 3 g COD/L as maximum value. These results are similar than those obtained by Logan et al. (2003) and Oh et al. (2003), who respectively reported glucose conversion efficiencies into hydrogen of 23% at a pH of 6.0 and between 24.2-18.5% at a pH range of 6.2-7.5.
A maximum specific hydrogen productivity of around 6.06 mmolH2/gVSS h (Table 1) was obtained, lower than that reported by Oh et al. (2002), within the range 16.1-18.5 mmol H2/gVSS h at a pH between 6.0-8.0, although they used a specific strain of the bacteria Rhodopseudomona palustres P4, in pure culture for hydrogen production.
Figure 1 shows hydrogen production over time in two essays, which correspond to the typical profiles obtained during the studies. The Gompertz model is capable of fitting most profiles obtained; however, some disagreement between the experimental data and the model was found at a pH of 5.0 due to a loss of linearity in the last part of the Gompertz curve that was not observed at a pH of 5.0. This effect could be caused by a decrease in pH during fermentation.
Observations indicate that, for initial substrate concentrations of 5 and 10 g COD/L, initial pH values did not have a significant effect on the hydrogen yield, as it is shown in Figure 2. At an initial glucose concentration of 3 g COD/L however, a maximum was observed in the yield at initial pH of 6.5 higher that observed at pH 5.5 and 7.5. Similar results were obtained by Fang et al. (2006), who observed higher yields at pH 4.5 than those at pH 4.0 and 7.0 using rice starch as a carbon source. It is worth noting that starch needs to be hydrolyzed to glucose prior to fermentation although it is considered relatively easily hydrolysable.
Was observed a similar correlation between the maximum specific hydrogen productivity values at concentrations of 3 and 5 g COD/L. These results clearly indicate that initial substrate concentration and pH affect both hydrogen yield and productivity like reported Fang et al. (2006) the productivity increased from 0.3 L H2/gVSS d to 2.1 L H2/gVSS d with an increase in concentration from 2.7 to 5.5 g/L, respectively. Afterwards, this parameter dropped to 0.4 L/gVSS d at a concentration of 22.1 g/L. Similar results were obtained by Duangmanee et al. (2007) using sucrose as the substrate at five different initial pHs ranging from 4.5 to 6.5. The highest specific productivity was 0.54 mmolH2/gVSS h, recorded at a pH of 5.5.
Table 2 presents the parameter values, and Table 3 presents the values of the different factors that produced the maximum response for both the yield and the productivity.
Figure 3 shows the yield surface versus initial pH and glucose concentration. The boundary conditions of the response surface are presented, which show the area where the optimum values of the variables are found. An optimum value for yield was encountered closes the experimental region (the area defined as the experimental range of each variable) at initial pH values of 6.3 and 3.7 g COD/L. At these conditions, the hydrogen yield was 0.95 mol H2/mol glucose, which also corresponds to the optimum value of the operability region (the set of values where the process might be operated).
Figure 4 shows the response surface for the productivity of hydrogen and its boundary layer. An optimal productivity value around 5.95 mmol H2/gVSS h was obtained at a initial pH of 6.7 and a glucose concentration of 10 g COD/L. Higher values of the concentration, which were studied, can be found within the optimum region. Thus, more research is required. It should be noted that these productivity values are the optimal values within the range of the experimental data, but they do not necessarily represent the absolute optimum values.
A similar multiple regression analysis was carried out by Pan et al. (2008) who studied the effect of glucose concentration, buffer concentrations and vitamin solution on hydrogen production by Clostridium sp. Fanp2. A considerable correlation was observed between glucose and buffer concentration but negligible between buffer concentration and vitamin solution.
The conditions that maximized yield differ from those maximizing productivity such that a compromise exists between these two parameters that must be considered for scap-up purposes.
pH and glucose concentration exert a simultaneous influence on the yield and maximum specific productivity of hydrogen production using glucose as the carbon source.
Conversion values of glucose into hydrogen were found to be 17.5 and 26.75% of the maximum theoretical yield (assuming acetic acid as the final product of the fermentation). The greatest yield attained was 1.07 mol H2/mol glucose, recorded at an initial pH of 6.5 and an initial concentration of 3 g COD/L. In terms of the maximum specific productivity, a value of 6.06 mmol H2/gVSV h was observed at an initial pH of 7.5 and an initial glucose concentration of 10 g COD/L.
From the response surface, the optimum yield was estimated to be around 0.954 mol H2/mol glucose at an initial pH of 6.34 and an initial glucose concentration of 3.78 g COD/L. An optimum area for productivity was found in the response surface, and, according to the experimental conditions, the optimum value was close to the value obtained in this study.
APHA, AWWA, WPCF. Standard methods for examination of water and wastewater. 19th ed. Washington, D.C., American Health Association, 1995. 1300 p.
DUANGMANEE, T.; PADMASIRI, S.; SIMMONS, J.; RASKIN, L. and SUNG, S. Hydrogen production by anaerobic microbial communities exposed to repeated heat treatments. Water Environment Research, September 2007, vol. 79, no. 9, p. 975-983. [CrossRef]
FANG, Herbert H.P.; LI, Chenlin and ZHANG, Tong. Acidophilic biohydrogen production from rice slurry. International Journal of Hydrogen Energy, May 2006, vol. 31, no. 6, p. 683-692. [CrossRef]
KHANAL, Samir Kumar; CHEN, W.-H. Wen Hsing; LI, Ling and SUNG, Shihwu. Biological hydrogen production: effects of pH intermediate products. International Journal of Hydrogen Energy, September 2004, vol. 29, no. 11, p. 1123-1131. [CrossRef]
KRAEMER, Jeremy T. and BAGLEY, David M. Optimisation and design of nitrogen-sparged fermentative hydrogen production bioreactors. International Journal of Hydrogen Energy, November 2008, vol. 33, no. 22, p. 6558-6565. [CrossRef]
LOGAN, Bruce E.; OH, Sang-Eun; KIM, In S. and VAN GINKEL, Steven. Biological hydrogen production measured in batch anaerobic respirometers. Environmental Science & Technology, January 2003, vol. 37, no. 5, p. 1055. [CrossRef]
MILLER, G.L. Use of dinitrosalicylic acid reagent for determination of reducing sugar. Analytical Chemistry, March 1959, vol. 31, no. 3, p. 426-428. [CrossRef]
MU, Yang; YU, Han-Quing and WANG, Gang. A kinetic approach to anaerobic hydrogen-producing process. Water Research, March 2007, vol. 41, no. 5, p. 1152-1160. [CrossRef]
NOIKE, T. and MIZUNO, O. Hydrogen fermentation of organic municipal wastes. Water Science and Technology, 2000, vol. 42, no. 12, p. 155-162.
OH, Sang-Eun; VAN GINKEL, Steven and LOGAN, Bruce E. The relative effectiveness of pH control and heat treatment for enhancing biohydrogen gas production. Environmental Science & Technology, October 2003, vol. 37, no. 22, p. 5186-5190. [CrossRef]
OH, You-Kwan; SEOL, Eun-Hee; LEE, Eun Yeol and PARK, Sunhoong. Fermentative hydrogen production by a new chemeheterotrophic bacterium Rhodopseudomonas Palustris P4. International Journal of Hydrogen Energy, November-December 2002, vol. 27, no. 11-12, p. 1373-1379. [CrossRef]
PAN, C.; FAN, Y.T.; XING, Y.; HOU, H.W. and ZHANG, M.L. Statiscal optimization of process parameters on biohydrogen production from glucose by Clostridium sp. Fanp2. Bioresource Technology, May 2008, vol. 99, no. 8, p. 3146-3154. [CrossRef]
PARK, Wooshin; HYUN, Seung H.; OH, Sang-Eun; LOGAN, Bruce E. and KIM, In S. Removal of headspace CO2 increases biological hydrogen production. Environmental Science and Technology, May 2005, vol. 39, no. 12, p. 4416-4420. [CrossRef]
SPEECE, R.E. Anaerobic Biotechnology: For Industrial Wastewater. Nashville, TN., Archae Press, 1996. 416 p. ISBN: 0965022609.
VALDEZ-VAZQUEZ, Idania; RÍOS-LEAL, Elvira; ESPARZA-GARCÍA, Fernando; CECCHI, Franco and POGGI-VARALDO, Héctor M. Semi-continuous solid substrate anaerobic reactors for H2 production from organic waste: mesophilic versus thermophilic regime. International Journal Hydrogen Energy, October-November 2005, vol. 30, no. 13-14, p. 1383-1391. [CrossRef]
VAN GINKEL, Steven; SUNG, Shihwu and LAY, Jiunn-Jyi. Biohydrogen production as a function of pH and substrate concentration. Environmental Science and Technology, November 2001, vol. 35, no. 24, p. 4726-4730. [CrossRef]
ZHAO, Q. and YU, H. Fermentative H2 production in an upflow anaerobic sludge blanket reactor at various pH values. Bioresource Technology, March 2008, vol. 99, no. 5, p. 1353-1358. [CrossRef]
Note: Electronic Journal of Biotechnology is not responsible if on-line references cited on manuscripts are not available any more after the date of publication.
Supported by UNESCO / MIRCEN network