Impact of tobramycin on the performance of microbial fuel cell
© Wu et al. 2014
Received: 26 November 2013
Accepted: 15 June 2014
Published: 4 July 2014
The release of antibiotics into aquatic environments has made the treatment of wastewater containing antibiotics a world-wide public health problem. The ability of microbial fuel cells (MFCs) to harvest electricity from organic waste and renewable biomass is attracting increased interest in wastewater treatment. In this paper we investigated the bioelectrochemical response of an electroactive mixed-culture biofilm in MFC to different tobramycin concentrations.
The electroactive biofilms showed a high degree of robustness against tobramycin at the level of μg/L. The current generation responses of the biofilms were affected by the presence of tobramycin. The inhibition ratio of the MFC increased exponentially with the tobramycin concentrations in the range of 0.1-1.9 g/L. The bacterial communities of the biofilms vary with the concentrations of tobramycin, the equilibrium of which is critical for the stability of electroactive biofilms based-MFC.
Experimental results demonstrate that the electroactive biofilm-based MFC is robust against antibiotics at the level of μg/L, but sensitive to changes in antibiotic concentration at the level of g/L. These results could provide significant information about the effects of antibiotics on the performance MFC as a waste-treatment technology.
Antibiotics, one of the important group of pharmaceuticals in human and veterinary medicine, are widely used in the prevention and treatment of diseases and have been detected in various aquatic environments, for example, wastewater, surface water, ground water and drinking water [–]. Therefore, the release of antibiotics to the aquatic environment as well as its related environmental issues and public health problems have attracted great attention. Biological treatment, the use of bacteria and other microorganisms to remove contaminants by assimilating or oxidizing them, is still regarded as the most common and economical approach for the treatment of contaminants in wastewater []. Traditionally aerobic treatment consumes large amounts of electrical energy for aeration []. Anaerobic treatment is generally only suitable for high-strength wastewater streams typically produced by industry [].
Microbial fuel cell (MFC) as a device capable of harvesting electricity from organic waste and renewable biomass, has attracted great interest for wastewater treatment []. There are various reports about MFCs for biodegradable organics as substrates, for example, glucose, lactate, sucrose, domestic wastewater, brewery wastewater, whey wastewater and starch processing wastewater [–]. Recently MFC technology used for removing toxic and recalcitrant contaminants as substitute substrates in wastewater with much higher chemical oxygen demand (COD) removal efficiencies has drawn great attention [,]. The treatment capacity of MFC technology was mainly dependent on the performance of the MFC. In contrast to planktonic cells, wastewater-derived electroactive biofilms show less susceptibility to toxins making MFCs promising for application in the wastewater treatment field []. Furthermore, the goal of wastewater treatment is COD removal. However, the question that is still largely unaddressed is the effect of the toxins on the performance of electroactive biofilms-based MFC accomplishing removal of COD in pharmaceutical wastewater treatment.
Tobramycin, an aminoglycoside produced by the bacterium Streptomyces tenebrarius, is commonly used because of its enhanced effectiveness against infections with the opportunistic pathogen Pseudomonas aeruginosa []. Tobramycin targets the decoding aminoacyl site on the 16S ribosomal RNA, induces miscoding during translation and cell death ensues [,]. Herein, the impact of tobramycin on the performance of electroactive biofilms-based MFC was studied. The mixed-culture microorganism community was harvested from wastewater and formed electrochemically active biofilms on the anode generating steady current. An adaptation or change of the microbial community will influence the biofilm structure and the stability of electroactive biofilms-based MFC []. Hence, the microbial community of the anodic biofilm was analyzed using pyrosequencing and changes of the microbial diversity with different concentrations of tobramycin were determined by denaturing gradient gel electrophoresis (DGGE).
Results and discussion
Effects of tobramycin on the performance of MFCs
Inhibition ratio of MFCs correlated to tobramycin concentrations
This indicated that the reaction taking place on the anode of the MFC would be a combination of biofilm kinetics and electrochemical kinetics. The changing of kinetic inhibition of microorganisms in the biofilm would be one reason of the non-linear correlation between tobramycin and inhibition ratio []. The inhibition ratio of tobramycin drastically increased from 0.2% to 42.6% as the antibiotic concentrations were increased from 0.2 mM to 4 mM. The tobramycin concentration of 4 mM (1870 mg/L) is three orders of magnitude higher than the reported minimal biofilm eliminating concentration (MBEC) of E. coli (2 mg/L) measured by the traditional colony-forming unit (CFU) counting method []. The inhibition of the biofilm at the tobramycin concentration of 4 mM may lead to significantly reduced substrate oxidation rates and subsequent decreased voltage outputs and substrate consumption rates. Experimental results indicated that the electroactive biofilm-based MFC was robust against antibiotics at the level of μg/L but sensitive to changes in antibiotic concentration at the level of g/L. Kim et al. also reported similar results and suggested a novel biomonitoring system using MFCs for the detection of several toxins at the level of mg/L [].
MFCs exposure to continuously increasing concentration of tobramycin
Effect of tobramycin on the microbial community
Results following antibiotic introduction show that the microbial communities varied with the increase of tobramycin concentration (Figure 5). As shown in Figure 5, band 4, band 5, and band 6 disappeared at a tobramycin concentration of 4 mM, as tobramycin, being most effective against gram-negative bacteria, was able to reduce populations of Geobacter spp., Aminiphilus spp., and Acetoanaerobium spp. The presence of these members within the community was associated with high power outputs and following their loss at increased antibiotic concentrations concurrent decreases in power outputs were observed (Figure 1). The communities disturbed with high concentrations of tobramycin were the most diverse with unknown bands emerging (Figure 5) (band 3 and 7). Though some similarities can be seen between communities exposed to 3 mM and 4 mM tobramycin, such as the emergence of band 3, other bands were only prominent in one of the treatments (band 7). This suggests that though tobramycin-resistant bacteria were enriched at higher concentrations, it is likely varying community structures will emerge following antibiotic-disruption in contrast to the stability of the community under acetate-fed conditions.
An electroactive biofilm based-MFC was developed and the electrochemical response of different concentrations of tobramycin on the electroactive mixed-culture biofilms was studied along with the effect to community structure. The electroactive biofilms showed a high degree of robustness against tobramycin at the level of μg/L. The current generated by the electrochemically active biofilm decreased as the tobramycin concentration arrived in the range of 0.1-1.9 g/L and the inhibition ratio increased with the increase of tobramycin concentration. The bacterial communities of the biofilms varied with the concentrations of tobramycin, the equilibrium of which is critical to the stability of electroactive biofilm based-MFCs. These results could provide significant information about the effects of antibiotics on the performance MFC as a waste-treatment technology. In the future, studies on various other microorganisms and antibiotics like sulfadiazine, enoxacin and bacitracin will provide more conclusive results for the treatment of wastewater from pharmaceutical industries.
Construction of electroactive biofilms-based MFCs
A single-chamber MFC was constructed as described previously []. Briefly, the anode and cathode were placed in parallel on the opposite sides of the chamber (13 mL) with a distance of 1.7 cm. Non-wet proofed carbon cloth (type A, E-TEK, Somerset, NJ, USA; 2 cm2) were used as the anode without any treatment. Wet-proofed (30%) carbon cloth (type B, ETEK, Somerset, NJ, USA; 7 cm2) was coated with carbon/poly (tetrafluoroethylene) (PTFE) layers on the air-facing side and platinum (0.5 mg/cm2 cathode area) with Nafion as binder on the water-facing side, and used as the cathode.
Operation of electroactive biofilms-based MFCs
Medium used for enrichment and operation of the microbial fuel cell was prepared as previously described []. Sodium acetate (60 mM) was used as the carbon resource. The medium (8 ml) in the MFC was inoculated with 5 mL of electrochemically active mixed-culture microorganisms, a mixture of gram-positive and gram-negative microorganisms reported in our previous study []. The electroactive biofilms-based MFC was monitored by a data acquisition system (2700, Keithly, Cleveland, OH, USA), the acetate medium solution was refreshed after each batch until a stable power output was obtained at an external resistance of 300 Ω. When the standard deviation of maximal voltage in the each batch after three batches was within ±5%, 2.6-78 μl of the tobramycin stock solution (1000 mM) was added to the MFC medium to obtain final concentrations in the range of 0.2-6 mM for a single batch, subsequent voltages were then recorded. The following post-antibiotic batches were replaced with the fresh acetate medium solution without tobramycin. Each concentration was run in triplicate.
Microbial community analysis
Biofilms were separated from the anodes of MFCs treated with different antibiotic concentrations for 20 days (around 10 batches). Bacterial genomic DNA was extracted from the biofilm samples using the DNeasy tissue Kits (Qiagen, CA, USA) according to the manufacturer’s instructions.
The control community with no antibiotic addition was then prepared for pyrosequencing. Primers developed to target the hyper-variable V4 region of the 16S rRNA gene (Cole et al. []). The 454 adapter sequence (5′- 3′) CCTATCCCCTGTGTGCCTTGGCAGTC the forward primer AYTGGGYDTAAA GNG (Escherichia coli position 563–577). The reverse primers were composed of the adapter sequence followed by the reverse primer sequence, CCGTCAATTCMTTTRAGT (E. coli 907–924). Twenty-five microliter PCR reaction volumes were used for optimization followed by 50 μl amplification reactions. A high-fidelity Taq polymerase (Invitrogen Platinum) was used with along with MgSO4 (2.5 mM), vendor supplied buffer, BSA (0.1 mg/ml), dNTPs (250 μM), and primers (1 μM). An initial 3-min step at 95°C was followed by 27 cycles of 95°C (45 s), 57°C (45 s), and 72°C (1 min) with a final 3 min extension at 72°C. PCR products were agarose gel purified (2% metaphor in TAE) and bands were extracted with a QIAquick Gel Extraction Kit (Qiagen, Valencia, CA). Gel extracted material was further purified with a Qiagen PCR Cleanup kit and AMPure XP magnetic beads. Quantification of purified PCR product was performed using a Qubit fluorom- eter (Invitrogen, Carlsbad, CA) and qPCR (ABI PRISM 7500 FAST Detection System). Following quantification, libraries were pooled into equimolar amounts. Emulsion PCR and sequencing was performed on a 454 GS Junior pyrosequencer (Roche, Nutley, NJ, USA) at the Center for Genome Research and Biocomputing (CGRB), Oregon State University using titanium reagents and procedures consistent with protocols for unidirectional amplicon sequencing.
Initial quality filtering was performed using MOTHUR, alignment was performed using MUSCLE and subsequent taxonomic identification done using RDP Classifier at an 80% confidence level [–]. Classifier results were then used for community analysis.
All samples were also subject to analysis through DGGE. After nesting 16S ribosomal DNA (rDNA) by using a pair of universal primers: 27 F (5′ -AGAGTTTGATCMTGGCTCAG-3′) and 1492R (5′ -GGTTACCTTTGTTACGACTT-3′) []. The universal primer set 357 F-GC (5′-GC-clamp-CCTACGGGAGGCAGCAG-3′) and 518R (5′- ATTACCGCGGCTGCTGG-3′) (Invitrogen, Carlsbad, CA, USA) was used to amplify the V3 region of bacteria 16 s rDNA from the extracted genomic DNA. PCR amplification and cycling were performed in a thermocycler (Thermo hybaid, MBS 0.2G, Thermo, MA, USA). DGGE of the PCR products was carried out in a DcodeTM Universal Mutation Detection System (Bio-rad Laboratories, Hercules, CA, USA). Prominent DGGE bands were then excised from the gel and their products amplified using the same PCR system. Amplified products from these bands were then submitted to CGRB for sanger sequencing. Pyrosequencing and DGGE results could then be correlated, allowing for a more comprehensive community analysis.
Genomic datasets were deposited in the NCBI sequence read archive under accession number. The genomic project can also be accessed in NCBI under Genome Project ID PRJNA252648. (accession, http://www.ncbi.nlm.nih.gov/bioproject?term=PRJNA252648).
The inhibition ratio (I) was calculated as I (%) = 100 × (AM1 –AM2)/ AM1, where AM1 was the maximal current in the batch before tobramycin addition, AM2 was the maximal current in the following batch after addition of tobramycin.
This work was supported by the U.S. National Science Foundation (CBET 0955124), National Natural Science Foundation of China (NSFC 81301290), Quanzhou Science and Technology Plan Project (2013Z24) and Research Foundation for High-level Talents of Huaqiao University (12BS207). We thank Mark Dasenko at the Oregon State University Center for Genome Research and Biocomputing (CGRB) for sequencing support.
Wenguo Wu would like to thank the China Scholarship Council for supporting her study at Oregon State University.
- Perret D, Gentili A, Marchese S, Greco A, Curini R: Sulphonamide residues in Italian surface and drinking waters: a small scale reconnaissance. Chromatographia. 2006, 63: 225-232. 10.1365/s10337-006-0737-6.View ArticleGoogle Scholar
- Stolker AAM, Niesing W, Hogendoorn EA, Versteegh JFM, Fuchs R, Brinkman UAT: Liquid chromatography with triple-quadrupole or quadrupole-time of flight mass spectrometry for screening and confirmation of residues of pharmaceuticals in water. Anal Bioanal Chem. 2004, 378: 955-963. 10.1007/s00216-003-2253-y.View ArticleGoogle Scholar
- Ye ZQ, Weinberg HS, Meyer MT: Trace analysis of trimethoprim and sulfonamide, macrolide, quinolone, and tetracycline antibiotics in chlorinated drinking water using liquid chromatography electrospray tandem mass spectrometry. Anal Chem. 2007, 79: 1135-1144. 10.1021/ac060972a.View ArticleGoogle Scholar
- Wen Q, Kong FY, Zheng HT, Yin JL, Cao DX, Ren YM, Wang GL: Simultaneous processes of electricity generation and ceftriaxone sodium degradation in an air-cathode single chamber microbial fuel cell. J Power Sources. 2011, 196: 2567-2572. 10.1016/j.jpowsour.2010.10.085.View ArticleGoogle Scholar
- Rozendal RA, Hamelers HVM, Rabaey K, Keller J, Buisman CJN: Towards practical implementation of bioelectrochemical wastewater treatment. Trends Biotechnol. 2008, 26: 450-459. 10.1016/j.tibtech.2008.04.008.View ArticleGoogle Scholar
- Liu H, Ramnarayanan R, Logan BE: Production of electricity during wastewater treatment using a single chamber microbial fuel cell. Environ Sci Technol. 2004, 38: 2281-2285. 10.1021/es034923g.View ArticleGoogle Scholar
- Feng Y, Wang X, Logan BE, Lee H: Brewery wastewater treatment using air-cathode microbial fuel cells. Appl Microbiol Biotechnol. 2008, 78: 873-880. 10.1007/s00253-008-1360-2.View ArticleGoogle Scholar
- Lu N, Zhou SG, Zhuang L, Zhang JT, Ni JR: Electricity generation from starch processing wastewater using microbial fuel cell technology. Biochem Eng J. 2009, 43: 246-251. 10.1016/j.bej.2008.10.005.View ArticleGoogle Scholar
- Min B, Logan BE: Continuous electricity generation from domestic wastewater and organic substrates in a flat plate microbial fuel cell. Environ Sci Technol. 2004, 38: 5809-5814. 10.1021/es0491026.View ArticleGoogle Scholar
- Nasirahmadi S, Safekordi AA: Enhanced electricity generation from whey wastewater using combinational cathodic electron acceptor in a two-chamber microbial fuel cell. Int J Environ Sci Technol. 2012, 9: 473-478. 10.1007/s13762-012-0063-5.View ArticleGoogle Scholar
- Wu WG, Bai LL, Liu X, Tang ZM, Gu ZZ: Nanograss array boron-doped diamond electrode for enhanced electron transfer from Shewanella loihica PV-4. Electrochem Commun. 2011, 13: 872-874. 10.1016/j.elecom.2011.05.025.View ArticleGoogle Scholar
- Wen Q, Kong FY, Zheng HT, Cao DX, Ren YM, Yin JL: Electricity generation from synthetic penicillin wastewater in an air-cathode single chamber microbial fuel cell. Chem Eng J. 2011, 168: 572-576. 10.1016/j.cej.2011.01.025.View ArticleGoogle Scholar
- Patil S, Harnisch F, Schröder U: Toxicity response of electroactive microbial biofilms-a decisive feature for potential biosensor and power source applications. ChemPhysChem. 2010, 11: 2834-2837. 10.1002/cphc.201000218.View ArticleGoogle Scholar
- Goodman LS, Gilman A: Goodman and Gilman’s The Pharmacological Basis of Therapeutics. 1985, McGraw-Hill Professional Publishing, New YorkGoogle Scholar
- Davies J, Davis BD: Misreading of ribonucleic acid code words induced by aminoglycoside antibiotics-effect of drug concentration. J Biol Chem. 1968, 243: 3312-3316.Google Scholar
- Davis BD: Mechanism of bactericidal action of aminoglycosides. Microbiol Rev. 1987, 51: 341-350.Google Scholar
- Sutherland IW: The biofilm matrix-an immobilized but dynamic microbial environment. Trends Microbiol. 2001, 9: 222-227. 10.1016/S0966-842X(01)02012-1.View ArticleGoogle Scholar
- Seifrtová M, Novaková L, Lino C, Pena A, Solich P: An overview of analytical methodologies for the determination of antibiotics in environmental waters. Anal Chim Acta. 2009, 649: 158-179. 10.1016/j.aca.2009.07.031.View ArticleGoogle Scholar
- Stein NE, Keesman KJ, Hamelers HVM, van Straten G: Kinetic models for detection of toxicity in a microbial fuel cell based biosensor. Biosens Bioelectron. 2011, 26: 3115-3120. 10.1016/j.bios.2010.11.049.View ArticleGoogle Scholar
- Ceri H, Olson ME, Stremick C, Read RR, Morck D, Buret A: The calgary biofilm device: new technology for rapid determination of antibiotic susceptibilities of bacterial biofilms. J Clin Microbiol. 1999, 37: 1771-1776.Google Scholar
- Kim M, Sik Hyun M, Gadd GM, Joo Kim H: A novel biomonitoring system using microbial fuel cells. J Environ Monit. 2007, 9: 1323-1328. 10.1039/b713114c.View ArticleGoogle Scholar
- Lesnik LK, Liu H: Establishing a core microbiome in acetate-fed microbial fuel cells. Appl Microbiol Biot. 2014, 98: 4187-4196. 10.1007/s00253-013-5502-9.View ArticleGoogle Scholar
- Bond DR, Lovley DR: Electricity production by Geobacter sulfurreducens attached to electrodes. Appl Environ Microbiol. 2003, 69: 1548-1555. 10.1128/AEM.69.3.1548-1555.2003.View ArticleGoogle Scholar
- Holmes DE, Bond DR, O’Neill RA, Reimers CE, Tender LR, Lovley DR: Microbial communities associated with electrodes harvesting electricity from a variety of aquatic sediments. Microb Ecol. 2004, 48: 178-190. 10.1007/s00248-003-0004-4.View ArticleGoogle Scholar
- Kan JJ, Hsu L, Cheung ACM, Pirbazari M, Nealson KH: Current production by bacterial communities in microbial fuel cells enriched from wastewater sludge with different electron donors. Environ Sci Technol. 2011, 45: 1139-1146. 10.1021/es102645v.View ArticleGoogle Scholar
- Díaz C, Baena S, Fardeau ML, Patel BKC:Aminiphilus circumscriptus gen. nov., sp. nov., an anaerobic amino-acid-degrading bacterium from an upflow anaerobic sludge reactor. Int J Syst Evol Microbiol. 2007, 57: 1914-1918. 10.1099/ijs.0.63614-0.View ArticleGoogle Scholar
- Sleat R, Mah RA, Robinson R:Acetoanaerobium noterae gen. nov., sp. nov.: an anaerobic bacterium that forms acetate from H2 and CO2. Int J Syst Evol Microbiol. 1985, 35: 10-15.Google Scholar
- Parameswaran P, Zhang H, Torres CI, Rittmann BE, Krajmalnik-Brown R: Microbial community structure in a biofilm anode fed with a fermentable substrate: the significance of hydrogen scavengers. Biotechnol Bioeng. 2010, 105: 69-78. 10.1002/bit.22508.View ArticleGoogle Scholar
- Liu H, Cheng SA, Logan BE: Production of electricity from acetate or butyrate using a single-chamber microbial fuel cell. Environ Sci Technol. 2005, 39: 658-662. 10.1021/es048927c.View ArticleGoogle Scholar
- Catal T, Li K, Bermek H, Liu H: Electricity production from twelve monosaccharides using microbial fuel cells. J Power Sources. 2008, 175: 196-200. 10.1016/j.jpowsour.2007.09.083.View ArticleGoogle Scholar
- Cole JR, Wang Q, Cardenas E, Fish J, Chai B, Farris RJ, Kulam-Syed-Mohideen AS, McGarrell DM, Marsh T, Garrity GM, Tiedje JM: The ribosomal database project: improved alignments and new tools for rRNA analysis. Nucl Acids Res. 2009, 37: 141-145. 10.1093/nar/gkn879.View ArticleGoogle Scholar
- Edgar RC: MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucl Acids Res. 2004, 32: 1792-1797. 10.1093/nar/gkh340.View ArticleGoogle Scholar
- Schloss PD, Westcott SL, Ryabin T, Hall JR, Hartmann M, Hollister EB, Lesniewski RA, Oakley BB, Parks DH, Robinson CJ, Sahl JW, Stres B, Thallinger GG, Van Horn DJ, Weber CF: Introducing mothur: open-source, platform-independent, community-supported software for describing and comparing microbial communities. Appl Environ Microbiol. 2009, 75: 7537-7541. 10.1128/AEM.01541-09.View ArticleGoogle Scholar
- Park HS, Kim BH, Kim HS, Kim HJ, Kim GT, Kim M, Chang IS, Park YK, Chang HI: A novel electrochemically active and Fe(III)-reducing bacterium phylogenetically related to Clostridium butyricum isolated from a microbial fuel cell. Anaerobe. 2001, 7: 297-306. 10.1006/anae.2001.0399.View ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.