Shift of microbial community in gas-phase biofilters with different inocula,inlet loads and nitrogen sources |
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| Affiliation: | 1. Environmental Simulation and Pollution Control State Key Joint Laboratory, School of Environment, Tsinghua University, Beijing 100084, China;2. Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, PR China;3. Central Research Institute of Building and Construction, MCC Group, Co, Ltd;1. State Key Laboratory of Food Nutrition and Safety, Institute of Health Biotechnology, College of Food Science and Engineering, Tianjin University of Science and Technology, Tianjin, 300457, People’s Republic of China;2. College of Marine and Environmental Sciences, Tianjin University of Science and Technology, Tianjin, 300457, People’s Republic of China;3. College of Biological and Environmental Engineering, Binzhou University, Binzhou, Shandong, 256603, People’s Republic of China;1. School of Biology and Pharmaceutical Engineering, Wuhan Polytechnic University, No. 68, Xuefu South Road, Changqing Garden, Wuhan, 430023, P.R. China;2. State Key Laboratory of Virology, Wuhan Institute of Virology, Chinese Academy of Sciences, No. 44, Xiaohongshan, Wuhan 430071, P.R. China;3. Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing, 100190 P.R. China;1. Department of Vascular Surgery, China-Japan Union Hospital of Jilin University, ChangChun, Jilin, 130031, China;2. School of Bioprocess Engineering, Universiti Malaysia Perlis, 02600, Arau, Malaysia;3. Institute of Nano Electronic Engineering, Universiti Malaysia Perlis, 01000, Kangar, Perlis, Malaysia;4. Department of Oral & Craniofacial Sciences, Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia;5. Department of Oral & Maxillofacial Clinical Sciences, Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia;1. National Energy R&D Center for Biorefinery, Beijing University of Chemical Technology, Beijing 100029, PR China;2. College of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100029, PR China;3. Department of Chemical and Biomolecular Engineering, Case Western Reserve University, Cleveland 44106, OH USA;4. Fermentation Engineering Technology Research Center of Hebei Province, College of Bioscience & Bioengineering, Hebei University of Science and Technology, Shijiazhuang 050018, PR China;5. Research Center for Eco-Environmental Sciences, Chinese Academy of Science, Beijing 100085, PR China;6. College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, PR China;7. Center for Process Simulation & Optimization, Beijing University of Chemical Technology, Beijing 100029, PR China;1. School of Food Science and Technology, Dalian Municipality Engineering Laboratory for Shellfish Polysaccharide, Dalian Polytechnic University, National Engineering Research Center of Seafood, Dalian 116034, PR China;2. Roy J. Carver Dept. of Biochemistry, Biophysics & Molecular Biology, Iowa State University, 3192 Molecular Biology Building, Ames, IA, 50011, United States;3. College of Engineering, Department of Mechanical Engineering, Iowa State University, Ames, IA, 50011, United States;1. College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China;2. College of Landscape Architecture, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China |
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| Abstract: | The research on gaseous VOCs biofilters has often concentrated on process optimization. However, the microbial community change upon operating conditions is not well understood. In this study, three lab-scale biofilters treating gaseous toluene were operated for 66 days with different inocula under changes in inlet loads and nitrogen sources. Three biofilters were inoculated with activated sludge, river sediment or microbial consortia, respectively. The microbial community differed a lot initially but gradually deviated toward similar structures with the same dominant microorganisms, i.e. Proteobacteria, Actinobacteria (phylum level) and Rhodococcus,Pseudomonas(genus level). Among three biofilters, the two biofilters inoculated with activated sludge and river sediment showed higher microbial diversity, better VOCs removal performance and higher metabolic activity. Higher relative abundance of Alcanivorax (3% compared with lower than 0.03%), Pimelobacte (0.05% compared with lower than 0.01%)were detected under low inlet load, and Zoogloea(0.1%), Alkaliphilus(0.2%) were detected when the inlet load was increased. the abundance of Pseudomonasdecreased from 14% to 2% when ammonia was used as nitrogen source instead of nitrate, meanwhile the abundance of Bacillus and Gordoniaincreased from 0.01% to 0.05% and 0.8% to 5.8% respectively. Some special organisms were observed i.e. the intestinal microorganism. |
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| Keywords: | Microbial community Metabolic profile Biofiltration Operation conditions |
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