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Unal E, Manav-Demir N. Assessment of biochemical methane potential of dairy wastewater with different co-substrates and evaluation of different kinetic models. ENVIRONMENTAL MONITORING AND ASSESSMENT 2023; 196:21. [PMID: 38060054 DOI: 10.1007/s10661-023-12208-3] [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: 05/04/2023] [Accepted: 11/30/2023] [Indexed: 12/08/2023]
Abstract
Dairy industry wastewater can be considered as an important source of pollution due to its high amounts and pollutant concentrations. Anaerobic treatment is seen as a suitable alternative over aerobic treatment which requires huge aeration systems. Biochemical methane potential (BMP) testing is a widely applied technique for estimating the performance of anaerobic digesters and still has no clear alternative. In the study, the biochemical methane potential change was investigated by mixing dairy wastewater with different co-substrates (cattle manure, chicken manure and slaughterhouse wastewater) at different rates. The highest biogas potential per gram of chemical oxygen demand added (CODadded) was determined as 574 mLbiogas in a mixture of 74% dairy wastewater + 2% chicken manure + 24% slaughterhouse wastewater inoculated with granular sludge. The highest methane potential was determined as 340 mLCH4 in the same co-substrate mixture inoculated with anaerobic sludge. In recent years, mathematical modeling offers an alternative to BMP tests and many different models are used for this purpose. In the study, six different mathematical models were used to simulate the BMP results, and the highest correlation coefficient in almost all mixtures ranged from 0.900 to 0.997 with the Modified Gompertz equation and Fitzhugh models.
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Affiliation(s)
- Elif Unal
- Environmental Engineering Department, Yildiz Technical University, Esenler, 34220, Istanbul, Türkiye
| | - Neslihan Manav-Demir
- Environmental Engineering Department, Yildiz Technical University, Esenler, 34220, Istanbul, Türkiye.
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Machineni L, Anupoju GR. Optimization of biomethane production from sweet sorghum bagasse using artificial neural networks combined with particle swarm algorithm. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:114095-114110. [PMID: 37855961 DOI: 10.1007/s11356-023-30451-6] [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: 02/13/2023] [Accepted: 10/10/2023] [Indexed: 10/20/2023]
Abstract
In the face of international movement away from fossil fuels caused pollution menace, many research labs are rushing towards next big breakthrough via effective biorefinery development employing non-edible agro-residues as feedstock. This work aims to evaluate and optimize the methane potential of underutilized full strength sweet sorghum bagasse (SSB) via anaerobic digestion (AD). Biochemical methane potential assays are set up for SSB AD under mesophilic and thermophilic conditions at four substrate-o-inoculum ratios (SIR) 3, 5, 7, and 9 with pH 6.5, 7.5, and 8.5 and with 80, 90, and 100 rpm mixing speed over 50 days. SIR 5 produced the highest cumulative biomethane yield of 4.25 L methane g-1 VS with a shorter lag time of 7.5 days and technical digestion time of 24 days. The influence of physio-chemical parameters on AD process dynamics is supported with 16s rRNA metagenomic sequencing. Based on complete experimental data sets, two artificial neural network (ANN) models are developed to identify the relevant significance of process parameters and to predict bagasse methane potential. Further, the developed ANN model is integrated with particle swarm optimization algorithm to create ideal AD process operating conditions which maximize the target variable, biomethane. The trained and cross-validated ANN-PSO model showed good-fit-accuracy with R2 > 0.995 and demonstrated satisfactory performance in the biomethane yield prediction from AD of non-edible agri-residues.
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Affiliation(s)
- Lakshmi Machineni
- Bio Engineering and Environmental Sciences (BEES) Group, Department of Energy and Environmental Engineering (DEEE), CSIR-Indian Institute of Chemical Technology (IICT), Hyderabad, 500007, India.
| | - Gangagni Rao Anupoju
- Bio Engineering and Environmental Sciences (BEES) Group, Department of Energy and Environmental Engineering (DEEE), CSIR-Indian Institute of Chemical Technology (IICT), Hyderabad, 500007, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
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Mehrez I, Chandrasekhar K, Kim W, Kim SH, Kumar G. Comparison of alkali and ionic liquid pretreatment methods on the biochemical methane potential of date palm waste biomass. BIORESOURCE TECHNOLOGY 2022; 360:127505. [PMID: 35750119 DOI: 10.1016/j.biortech.2022.127505] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 06/16/2022] [Accepted: 06/17/2022] [Indexed: 06/15/2023]
Abstract
Date palm waste biomass is a readily accessible agricultural waste biomass that may be used to produce biogas. Because the complex structure of date palm waste biomass prevents the embedded holo-cellulosic sugars from biodegrading, pretreatment is required to increase methane (CH4) yield. The present investigation aimed to comparatively determine the impact of alkali and ionic liquid pretreatment on the biochemical methane potential (BMP) of different types of date palm waste biomass. The findings revealed that ionic liquid pretreated Palm and Fruit bunch showed the highest BMP (321.67 mL CH4/g-TS) and substrate conversion efficiency (68.01%), respectively, over other biomass samples. In alkali pretreatment, the highest BMP and substrate conversion efficiency were detected with Palm (309.76 mL CH4/g-TS) and Spathe (62.09%). The high BMP and substrate conversion efficiency of date palm waste biomass may be harnessed for bioenergy production when this ionic liquid pretreatment technology is used.
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Affiliation(s)
- Ikram Mehrez
- Laboratory of Energy, Environment, and Information Systems, Faculty of Sciences and Technology, Adrar University, 01000 Adrar, Algeria
| | - K Chandrasekhar
- Department of Biotechnology, Vignan's Foundation for Science, Technology & Research, Vadlamudi 522213, Guntur, Andhra Pradesh, India
| | - Woojoong Kim
- Sustainable Technology and Wellness R&D Group, Korea Institute of Industrial Technology (KITECH), Jeju-si 63243, Republic of Korea
| | - Sang-Hyoun Kim
- School of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Gopalakrishnan Kumar
- School of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Republic of Korea; Institute of Chemistry, Bioscience and Environmental Engineering, Faculty of Science and Technology, University of Stavanger, Box 8600 Forus, 4036 Stavanger, Norway.
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Cayetano RDA, Park J, Kim GB, Jung JH, Kim SH. Enhanced anaerobic digestion of waste-activated sludge via bioaugmentation strategy-Phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt2) analysis through hydrolytic enzymes and possible linkage to system performance. BIORESOURCE TECHNOLOGY 2021; 332:125014. [PMID: 33839513 DOI: 10.1016/j.biortech.2021.125014] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 03/13/2021] [Accepted: 03/13/2021] [Indexed: 06/12/2023]
Abstract
In this study, anaerobic digestion of waste-activated sludge was bioaugmented with hydrolytic bacteria, Bacteroidetes uniformis (Bacteroidetes, B) and Clostridium sp. (Firmicutes, F) at various dosages. Bioaugmentation resulted in enhanced methane conversion of waste-activated sludge. The highest methane yield of 298.1 mL CH4/g-COD, 85.2% COD conversion efficiency was obtained when Bacteroidetes uniformis and Clostridium sp. were augmented at 100 and 900 CFU/mL, respectively. The microbial community analysis demonstrated that bioaugmentation increased the proportion of Bacteroidetes, Firmicutes, and Proteobacteria. Furthermore, at the highest methane yield, the principal methanogenic pathway was altered from acetoclastic to a mixture of hydrogenotrophic and acetoclastic; the major species shifted from Methanosaeta concilii to Methanobacterium subterraneum. Predicted gene analysis revealed that increased expression of hydrolases resulted in enhanced methane conversion through bioaugmentation.
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Affiliation(s)
- Roent Dune A Cayetano
- School of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Jungsu Park
- School of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Gi-Beom Kim
- School of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Ju-Hyeong Jung
- School of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Sang-Hyoun Kim
- School of Civil and Environmental Engineering, Yonsei University, Seoul 03722, Republic of Korea.
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Rodríguez-Valderrama S, Escamilla-Alvarado C, Rivas-García P, Magnin JP, Alcalá-Rodríguez M, García-Reyes RB. Biorefinery concept comprising acid hydrolysis, dark fermentation, and anaerobic digestion for co-processing of fruit and vegetable wastes and corn stover. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:28585-28596. [PMID: 32266619 DOI: 10.1007/s11356-020-08580-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Accepted: 03/25/2020] [Indexed: 06/11/2023]
Abstract
A new biorefinery conceptual process is proposed for biohydrogen and biomethane production from a combination of fruits and vegetable wastes (FVW) and corn stover (CS). The objective of this work was to perform the acid hydrolysis (HCl 0.5% v/v, 120 °C, 2 h) of the FVW and CS at 3:1 dry basis ratio, and to process its main physical phases, liquid hydrolyzates (LH) and hydrolyzed solids (HS), by mesophilic dark fermentation (DF) and anaerobic digestion (AD), respectively. In DF of LH as carbon source, hydrogen was produced at maximum rate of 2.6 mL H2/(gglucose h) and maximum accumulation of 223.8 mL H2/gglucose, equivalent to 2 mol H2/molglucose, in a butyric-pathway-driven fermentation. HS were digested to methane production assessing inoculum to substrate ratios in the range 2-4 ginoculum/gVS. The main results in AD were 14 mmol CH4/gvs. The biorefinery demonstrated the feasibility to integrate the acid hydrolysis as pretreatment and subsequently use the LH for hydrogen production, and the HS for methane production, with an energy yield recovery of 9.7 kJ/gvs, being the energy contribution from anaerobic digestion 8-fold higher than of dark fermentation.
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Affiliation(s)
- Santiago Rodríguez-Valderrama
- Universidad Autónoma de Nuevo León, Centre for Research on Biotechnology and Nanotechnology (CIByN), Faculty of Chemical Sciences, Engineering and Sustainable Bioprocesses Group, Parque de Investigación e Innovación Tecnológica, km 10 Autopista al Aeropuerto Internacional Mariano Escobedo, 66629, Apodaca, Nuevo León, Mexico
| | - Carlos Escamilla-Alvarado
- Universidad Autónoma de Nuevo León, Centre for Research on Biotechnology and Nanotechnology (CIByN), Faculty of Chemical Sciences, Engineering and Sustainable Bioprocesses Group, Parque de Investigación e Innovación Tecnológica, km 10 Autopista al Aeropuerto Internacional Mariano Escobedo, 66629, Apodaca, Nuevo León, Mexico.
| | - Pasiano Rivas-García
- Universidad Autónoma de Nuevo León, Centre for Research on Biotechnology and Nanotechnology (CIByN), Faculty of Chemical Sciences, Engineering and Sustainable Bioprocesses Group, Parque de Investigación e Innovación Tecnológica, km 10 Autopista al Aeropuerto Internacional Mariano Escobedo, 66629, Apodaca, Nuevo León, Mexico
| | - Jean-Pierre Magnin
- Univ. Grenoble Alpes, Grenoble INP*, LEPMI, * Institute of Engineering Univ. Grenoble Alpes, CNRS, 38000, Grenoble, France
| | - Mónica Alcalá-Rodríguez
- Universidad Autónoma de Nuevo León, Faculty of Chemical Sciences, Av. Universidad S/N, Ciudad Universitaria, San Nicolás de los Garza, N.L.,, 66455, Mexico
| | - Refugio Bernardo García-Reyes
- Universidad Autónoma de Nuevo León, Faculty of Chemical Sciences, Av. Universidad S/N, Ciudad Universitaria, San Nicolás de los Garza, N.L.,, 66455, Mexico
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