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Zhang Q, Wu R, Xu Z, Feng Y, Peng C, Shi H, Zhang Y, Yang L, Luo D, Dong P, Gao W, Wang T. Nanobubble water promotes anaerobic digestion of high-solids cattle manure under mesophilic and thermophilic conditions. ENVIRONMENTAL RESEARCH 2024; 251:118721. [PMID: 38490624 DOI: 10.1016/j.envres.2024.118721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 03/06/2024] [Accepted: 03/12/2024] [Indexed: 03/17/2024]
Abstract
The gradual increase in cattle farming has led to a huge production of cattle manure (CM), but the conventional treatment methods are less efficient. In this study, the treatment method of anaerobic digestion (AD) of high-solids CM by combining nanobubble water (NBW) with different gases was proposed to present a new idea for the reduction, harmlessness, and resourcefulness of CM. It was found that the performance of the digester with added NBW was better than the control. Among them, the cumulative methane yield T-Air: 227.09 mL g-1 VSadded and T-CO2: 226.12 mL g-1 VSadded increased by 17.72 % and 17.22 %, respectively, compared with the control T: 192.90 mL g-1 VSadded under thermophilic conditions. Under mesophilic conditions, M-Air: 162.39 mL g-1 VSadded increased by 9.68 % compared with control M: 148.05 mL g-1 VSadded. Microbial communities analyzed at the genus level revealed that the relative abundance of bacteria favorable to hydrolysis and acid-producing processes, such as Defluviitalea, Haloplasma, and Bacillus, increased to varying degrees. Moreover, the relative abundance of archaea favorable for methanogenesis, such as Methanoculleus, Methanobrevibacter, and Methanosarcina, also increased to varying degrees. Therefore, the addition of NBW promoted the hydrolysis of high-solids CM, enhanced the stability of the reaction, improved the methanogenic performance, and increased the RA of favorable genera, which ultimately led to a better performance of the AD of high-solids CM.
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Affiliation(s)
- Qingfang Zhang
- College of Petrochemical Engineering, Lanzhou University of Technology, Lanzhou, 730050, China
| | - Ruoyu Wu
- College of Petrochemical Engineering, Lanzhou University of Technology, Lanzhou, 730050, China
| | - Ziying Xu
- College of Petrochemical Engineering, Lanzhou University of Technology, Lanzhou, 730050, China
| | - Yutong Feng
- College of Petrochemical Engineering, Lanzhou University of Technology, Lanzhou, 730050, China
| | - Cheng Peng
- College of Petrochemical Engineering, Lanzhou University of Technology, Lanzhou, 730050, China
| | - Hailong Shi
- College of Petrochemical Engineering, Lanzhou University of Technology, Lanzhou, 730050, China
| | - Yuqian Zhang
- College of Petrochemical Engineering, Lanzhou University of Technology, Lanzhou, 730050, China
| | - Linhai Yang
- College of Petrochemical Engineering, Lanzhou University of Technology, Lanzhou, 730050, China
| | - Dan Luo
- College of Petrochemical Engineering, Lanzhou University of Technology, Lanzhou, 730050, China
| | - Peng Dong
- College of Petrochemical Engineering, Lanzhou University of Technology, Lanzhou, 730050, China
| | - Wenqi Gao
- School of Civil Engineering, Lanzhou Institute of Technology, Lanzhou, 730050, China
| | - Tianfeng Wang
- College of Petrochemical Engineering, Lanzhou University of Technology, Lanzhou, 730050, China.
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Xue T, Yan X, Li W, Xu J, Yang X. Synergistic effect and microbial community structure of waste-activated sludge and kitchen waste solids residue mesophilic anaerobic co-digestion. WATER SCIENCE AND TECHNOLOGY : A JOURNAL OF THE INTERNATIONAL ASSOCIATION ON WATER POLLUTION RESEARCH 2024; 89:3163-3177. [PMID: 39150418 DOI: 10.2166/wst.2024.186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 05/17/2024] [Indexed: 08/17/2024]
Abstract
Anaerobic co-digestion was conducted on the solid residues after three-phase separation of kitchen waste (KWS) and waste-activated sludge (WAS), the synergistic effects and process performance were studied during co-digestion at different ratios of KWS to WAS. KWS and WAS mix ratios of 0:1, 1:4, 1:3, 1:2, 1:1, 2:1, 3:1, 4:1 and 1:0 (based on TS). The results showed that a ratio of KWS to WAS of 1:1 got a very high methane recovery with a methane yield of 310.45 ± 30.05 mL/g VSadded. The highest concentration of free ammonia among all reaction systems was only 70.23 ± 5.53 mg/L, which was not enough to produce ammonia inhibition in the anaerobic co-digestion system. However, when the KWS content exceeded 50%, methane inhibition and prolongation of the lag phase were observed due to the accumulation of volatile fatty acids (VFAs), and during the lag phase. Microbial community analysis showed that various bacterial groups involved in acid production and hydrolysis were mainly dominated by phylum Firmicutes, Chloroflexi, Proteobacteria and Bacteroidetes. Hydrogenotrophic methanogen was found to dominate all archaeal communities in the digesters. Co-digestion of KWS with WAS significantly increased the relative abundance of Methanobacterium compared with anaerobic digestion of WAS alone.
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Affiliation(s)
- Tongzhan Xue
- School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei, Anhui 230601, China; Anhui Provincial Key Laboratory of Environmental Pollution Control and Resource Reuse, Hefei, Anhui 230601, China
| | - Xiangyu Yan
- School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei, Anhui 230601, China E-mail:
| | - Weihua Li
- School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei, Anhui 230601, China; Anhui Provincial Key Laboratory of Environmental Pollution Control and Resource Reuse, Hefei, Anhui 230601, China
| | - Jiajia Xu
- School of Architectural Engineering, Tongling University, Tongling, Anhui 244000, China
| | - Xinlei Yang
- School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei, Anhui 230601, China
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Pei L, Song Y, Chen G, Mu L, Yan B, Zhou T. Enhancement of methane production from anaerobic digestion of Erigeron canadensis via O 2-nanobubble water supplementation. CHEMOSPHERE 2024; 354:141732. [PMID: 38499072 DOI: 10.1016/j.chemosphere.2024.141732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 11/30/2023] [Accepted: 03/14/2024] [Indexed: 03/20/2024]
Abstract
Malignant invasive Erigeron canadensis, as a typical lignocellulosic biomass, is a formidable challenge for sustainable and efficient resource utilization, however nanobubble water (NBW) coupled with anaerobic digestion furnishes a prospective strategy with superior environmental and economic effectiveness. In this study, influence mechanism of various O2-NBW addition times on methanogenic performance of E. canadensis during anaerobic digestion were performed to achieve the optimal pollution-free energy conversion. Results showed that supplementation of O2-NBW in digestion system could significantly enhance the methane production by 10.70-16.17%, while the maximum cumulative methane production reached 343.18 mL g-1 VS in the case of one-time O2-NBW addition on day 0. Furthermore, addition of O2-NBW was conducive to an increase of 2-90% in the activities of dehydrogenase, α-glucosidase and coenzyme F420. Simultaneously, both facultative bacteria and methanogenic archaea were enriched as well, further indicating that O2-NBW might be responsible for facilitating hydrolytic acidification and methanogenesis. Based on Kyoto Encyclopedia of Genes and Genomes (KEGG) cluster analysis, provision of O2-NBW enhanced the metabolism of carbohydrate and amino acid, translation as well as membrane transport of bacteria and archaea. This study might offer the theoretical guidance and novel insights for efficient recovery of energy from lignocellulosic biomass on account of O2-NBW adhibition in anaerobic digestion system, progressing tenor of carbon-neutral vision.
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Affiliation(s)
- Legeng Pei
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072, China
| | - Yingjin Song
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072, China; Double Carbon Research Institute, Tianjin, 300350, China.
| | - Guanyi Chen
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072, China; School of Mechanical Engineering, Tianjin University of Commerce, Tianjin, 300134, China; Double Carbon Research Institute, Tianjin, 300350, China
| | - Lan Mu
- School of Mechanical Engineering, Tianjin University of Commerce, Tianjin, 300134, China
| | - Beibei Yan
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072, China
| | - Teng Zhou
- School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072, China
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Liang Z, Lan C, Jin X, Li S, Cai J, Yang S, Hou G, Cheng W, Shao X, Jia R, Ye J, Shi D, Li C, Li C. Spatial distribution and influencing factors of China's household biogas: evidence from provincial-level data. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:110119-110132. [PMID: 37783988 DOI: 10.1007/s11356-023-30069-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Accepted: 09/20/2023] [Indexed: 10/04/2023]
Abstract
To address the adjustment of the Chinese agricultural industry and to better promote the development of Chinese household biogas, this article summarizes and analyzes the spatial distribution characteristics and influencing factors of the type and number of biogas digesters, biogas production, biogas fermentation materials, and methods of fermentation residue utilization and ecological agriculture with household biogas by compiling a dataset covering 31 provincial administrative regions in China. The results show that hydraulic biogas digesters are distributed mainly in northwestern and northeastern China; in addition, continuously stirred biogas digesters and bottom-discharging biogas digesters are distributed mainly in southern and northern China, respectively. Because of temperature and population, the Sichuan and Henan Provinces have the highest number of biogas digesters and biogas production. The type of biogas fermentation materials depends on the local raw materials. Biogas slurry and residue are widely used as fertilizers; furthermore, biogas slurry is used for seed soaking in northeastern and southern China, and biogas residue is used as feed in central southern and northern China. The "Three-in-one" and "Four-in-one" biogas ecological models are used mostly in southern and northern China, respectively, and both are mainly affected by temperature. Finally, we propose various problems and countermeasures to enhance the development of the household biogas industry in China. Our findings are critical for China's policymakers to adopt effective measures for promoting the development of cleaner energy and the layout of the agricultural industry.
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Affiliation(s)
- Zhenghao Liang
- Sanya Nanfan Research Institute, Hainan University, Sanya, 572025, Hainan, China
- School of Tropical Agriculture and Forestry, Hainan University, Haikou, 570228, Hainan, China
| | - Chaojie Lan
- School of Tropical Agriculture and Forestry, Hainan University, Haikou, 570228, Hainan, China
| | - Xin Jin
- School of Tropical Agriculture and Forestry, Hainan University, Haikou, 570228, Hainan, China
| | - Shoupeng Li
- Sanya Nanfan Research Institute, Hainan University, Sanya, 572025, Hainan, China
- School of Tropical Agriculture and Forestry, Hainan University, Haikou, 570228, Hainan, China
| | - Jinwen Cai
- School of Tropical Agriculture and Forestry, Hainan University, Haikou, 570228, Hainan, China
| | - Shuyun Yang
- School of Tropical Agriculture and Forestry, Hainan University, Haikou, 570228, Hainan, China
| | - Guangqing Hou
- Sanya Nanfan Research Institute, Hainan University, Sanya, 572025, Hainan, China
- School of Tropical Agriculture and Forestry, Hainan University, Haikou, 570228, Hainan, China
| | - Wenxiao Cheng
- Sanya Nanfan Research Institute, Hainan University, Sanya, 572025, Hainan, China
- School of Tropical Agriculture and Forestry, Hainan University, Haikou, 570228, Hainan, China
| | - Xujie Shao
- Sanya Nanfan Research Institute, Hainan University, Sanya, 572025, Hainan, China
- School of Tropical Agriculture and Forestry, Hainan University, Haikou, 570228, Hainan, China
| | - Ruihong Jia
- Sanya Nanfan Research Institute, Hainan University, Sanya, 572025, Hainan, China
- School of Tropical Agriculture and Forestry, Hainan University, Haikou, 570228, Hainan, China
| | - Jingang Ye
- Sanya Nanfan Research Institute, Hainan University, Sanya, 572025, Hainan, China
- School of Tropical Agriculture and Forestry, Hainan University, Haikou, 570228, Hainan, China
| | - Dairen Shi
- Sanya Nanfan Research Institute, Hainan University, Sanya, 572025, Hainan, China
- School of Tropical Agriculture and Forestry, Hainan University, Haikou, 570228, Hainan, China
| | - Changjiang Li
- Sanya Nanfan Research Institute, Hainan University, Sanya, 572025, Hainan, China.
- School of Tropical Agriculture and Forestry, Hainan University, Haikou, 570228, Hainan, China.
| | - Changzhen Li
- Sanya Nanfan Research Institute, Hainan University, Sanya, 572025, Hainan, China
- School of Tropical Agriculture and Forestry, Hainan University, Haikou, 570228, Hainan, China
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Yang J, Lan X, Zhou T, Zhang Q, Zhang Z, Li P, Qu B. Effects of cold isostatic press pretreatment of rice straw on microstructure and efficiency of anaerobic digestion for methane production. BIORESOURCE TECHNOLOGY 2023; 386:129488. [PMID: 37454956 DOI: 10.1016/j.biortech.2023.129488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Revised: 07/09/2023] [Accepted: 07/11/2023] [Indexed: 07/18/2023]
Abstract
In this study, rice straw was pretreated using by cold isostatic pressure to disrupt its microstructure and improve the performance of anaerobic digestion, and the optimal process parameters were optimized using the response surface methodology. The results showed that cold isostatic pressure pretreatment under optimal conditions (pressure of 400 MPa and holding time of 9 min) was effective in disrupting the structure of rice straw and improving its biodegradability. The cumulative methane production of the cold isostatic pressure pretreatment group increased by 76% compared to the untreated group. In addition, microbial community analysis showed that the relative abundance of Firmicutes, Halobacterota, DMER64 and Methanosaeta was higher in groups pretreated with cold isostatic pressure than in untreated groups. This study demonstrated the potential of pretreatment of rice straw with cold isostatic pressure to increase methane production during anaerobic digestion.
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Affiliation(s)
- Jiancheng Yang
- College of Arts and Sciences, Northeast Agricultural University, Harbin 150030, China
| | - Xuan Lan
- College of Arts and Sciences, Northeast Agricultural University, Harbin 150030, China
| | - Tiantian Zhou
- College of Arts and Sciences, Northeast Agricultural University, Harbin 150030, China
| | - Quanguo Zhang
- Institute of Agricultural Engineering, Huanghe Science and Technology University, Zhengzhou 450006, China; Key Laboratory of New Materials and Facilities for Rural Renewable Energy, MOA of China, Henan Agricultural University, Zhengzhou 450002, China
| | - Zhiyun Zhang
- College of Animal Medicine, Northeast Agricultural University, Harbin 150030, China
| | - Pengfei Li
- Heilongjiang Academy of Black Soil Conservation and Utilization, Key Laboratory Combining Farming & Animal Husbandry, Key Laboratory of Straw Energy Utilization, Harbin 150086, China
| | - Bin Qu
- College of Arts and Sciences, Northeast Agricultural University, Harbin 150030, China.
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Aniza R, Chen WH, Pétrissans A, Hoang AT, Ashokkumar V, Pétrissans M. A review of biowaste remediation and valorization for environmental sustainability: Artificial intelligence approach. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 324:121363. [PMID: 36863440 DOI: 10.1016/j.envpol.2023.121363] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 02/09/2023] [Accepted: 02/24/2023] [Indexed: 06/18/2023]
Abstract
Biowaste remediation and valorization for environmental sustainability focuses on prevention rather than cleanup of waste generation by applying the fundamental recovery concept through biowaste-to-bioenergy conversion systems - an appropriate approach in a circular bioeconomy. Biomass waste (biowaste) is discarded organic materials made of biomass (e.g., agriculture waste and algal residue). Biowaste is widely studied as one of the potential feedstocks in the biowaste valorization process due to its being abundantly available. In terms of practical implementations, feedstock variability from biowaste, conversion costs and supply chain stability prevent the widespread usage of bioenergy products. Biowaste remediation and valorization have used artificial intelligence (AI), a newly developed idea, to overcome these difficulties. This report analyzed 118 works that applied various AI algorithms to biowaste remediation and valorization-related research published between 2007 and 2022. Four common AI types are utilized in biowaste remediation and valorization: neural networks, Bayesian networks, decision tree, and multivariate regression. The neural network is the most frequent AI for prediction models, the Bayesian network is utilized for probabilistic graphical models, and the decision tree is trusted for providing tools to assist decision-making. Meanwhile, multivariate regression is employed to identify the relationship between experimental variables. AI is a remarkably effective tool in predicting data, which is reportedly better than the conventional approach owing to its characteristics of time-saving and high accuracy. The challenge and future work in biowaste remediation and valorization are briefly discussed to maximize the model's performance.
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Affiliation(s)
- Ria Aniza
- Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan, 701, Taiwan; International Doctoral Degree Program on Energy Engineering, National Cheng Kung University, Tainan, 701, Taiwan
| | - Wei-Hsin Chen
- Department of Aeronautics and Astronautics, National Cheng Kung University, Tainan, 701, Taiwan; Research Center for Smart Sustainable Circular Economy, Tunghai University, Taichung, 407, Taiwan; Department of Mechanical Engineering, National Chin-Yi University of Technology, Taichung, 411, Taiwan.
| | | | - Anh Tuan Hoang
- Institute of Engineering, HUTECH University, Ho Chi Minh City, Viet Nam
| | - Veeramuthu Ashokkumar
- Biorefineries for Biofuels & Bioproducts Laboratory, Center for Transdisciplinary Research, Department of Pharmacology, Saveetha Dental College, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, 600077, India
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