A machine learning assisted prediction of potential biochar and its applications in anaerobic digestion for valuable chemicals and energy recovery from organic waste

Springer Science and Business Media LLC - Tập 3 - Trang 1-21 - 2024
Pengshuai Zhang1,2, Tengyu Zhang1,2, Jingxin Zhang1, Huaiyou Liu1,2, Cristhian Chicaiza-Ortiz1,3, Jonathan T. E. Lee4,5, Yiliang He1,2, Yanjun Dai6, Yen Wah Tong5,7
1China-UK Low Carbon College, Shanghai Jiao Tong University, Shanghai, China
2School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
3Biomass to Resources Group, Universidad Regional Amazónica IKIAM, Tena, Ecuador
4Department of Chemical & Biomolecular Engineering, National University of Singapore, Singapore, Singapore
5Environmental Research Institute, National University of Singapore, Singapore, Singapore
6School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai, China
7Energy and Environmental Sustainability for Megacities (E2S2) Phase II, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore, Singapore

Tóm tắt

The utilization of biochar derived from biomass residue to enhance anaerobic digestion (AD) for bioenergy recovery offers a sustainable approach to advance sustainable energy and mitigate climate change. However, conducting comprehensive research on the optimal conditions for AD experiments with biochar addition poses a challenge due to diverse experimental objectives. Machine learning (ML) has demonstrated its effectiveness in addressing this issue. Therefore, it is essential to provide an overview of current ML-optimized energy recovery processes for biochar-enhanced AD in order to facilitate a more systematic utilization of ML tools. This review comprehensively examines the material and energy flow of biochar preparation and its impact on AD is comprehension reviewed to optimize biochar-enhanced bioenergy recovery from a production process perspective. Specifically, it summarizes the application of the ML techniques, based on artificial intelligence, for predicting biochar yield and properties of biomass residues, as well as their utilization in AD. Overall, this review offers a comprehensive analysis to address the current challenges in biochar utilization and sustainable energy recovery. In future research, it is crucial to tackle the challenges that hinder the implementation of biochar in pilot-scale reactors. It is recommended to further investigate the correlation between the physicochemical properties of biochar and the bioenergy recovery process. Additionally, enhancing the role of ML throughout the entire biochar-enhanced bioenergy recovery process holds promise for achieving economically and environmentally optimized bioenergy recovery efficiency.

Tài liệu tham khảo

Abdullah I, Ahmad N, Hussain M, Ahmed A, Ahmed U, Park Y-K (2022) Conversion of biomass blends (walnut shell and pearl millet) for the production of solid biofuel via torrefaction under different conditions. Chemosphere 295:133894 Andrade Cruz I, Andrade LRS, Jesus AA, Vasconcelos BR, Bharagava RN, Bilal M, Figueiredo RT, Souza RL, Romanholo Ferreira LF (2022) Application of machine learning in anaerobic digestion: perspectives and challenges Biores Technol 345:126433 Andrade LA, Batista FRX, Lira TS, Barrozo MAS, Vieira LGM (2018) Characterization and product formation during the catalytic and non-catalytic pyrolysis of the green microalgae Chlamydomonas reinhardtii. Renewable Energy 119:731–740 Awasthi MK (2022) Engineered biochar: a multifunctional material for energy and environment. Environ Pollut 298:118831 Bird MI, Wurster CM, de Paula Silva PH, Bass AM, de Nys R (2011) Algal biochar – production and properties. Biores Technol 102:1886–1891 Cai Y, Meng X, Hu K, Zhao X, Usman M, Esposito G, Shen X, Chen S (2023) A novel strategy to reduce trace element supplementation in the semi-solid anaerobic digestion with gradient ammonia concentration: the role of biochar. Fuel 338:127332 Cao H, Milan YJ, Mood SH, Ayiania M, Zhang S, Gong X, Lora EES, Yuan Q, Garcia-Perez M (2021) A novel elemental composition based prediction model for biochar aromaticity derived from machine learning. Artif Intell Agric 5:133–141 Castan S, Sigmund G, Hüffer T, Tepe N, von der Kammer F, Chefetz B, Hofmann T (2020) The importance of aromaticity to describe the interactions of organic matter with carbonaceous materials depends on molecular weight and sorbent geometry. Environ Sci Process Impacts 22:1888–1897 Che L, Yang B, Tian Q, Xu H (2022) Iron-based biochar derived from waste-activated sludge enhances anaerobic digestion of synthetic salty organic wastewater for methane production. Biores Technol 345:126465 Chen L, Fang W, Chang J, Liang J, Zhang P, Zhang G (2022) Improvement of Direct interspecies electron transfer via adding conductive materials in anaerobic digestion: mechanisms, performances, and challenges. Front Microbiol 13:860749 Chen L, Fang W, Liang J, Nabi M, Cai Y, Wang Q, Zhang P, Zhang G (2023) Biochar application in anaerobic digestion: Performances, mechanisms, environmental assessment and circular economy. Resour Conserv Recycl 188:106720 Chen S, Rotaru A-E, Shrestha PM, Malvankar NS, Liu F, Fan W, Nevin KP, Lovley DR (2014) promoting interspecies electron transfer with biochar. Sci Rep 4:5019 Cheng C, Shao Y, Li W, Liu J, Liu X, Zhao Y, Li X, Yang S-T, Xue C (2022) Electricity-enhanced anaerobic, non-photosynthetic mixotrophy by Clostridium carboxidivorans with increased carbon efficiency and alcohol production. Energy Convers Manage 252:115118 Cheon A, Sung J, Jun H, Jang H, Kim M, Park J (2022) Application of various machine learning models for process stability of bio-electrochemical anaerobic digestion. Processes 10(1):158 Chiappero M, Fiore S, Berruti F (2022) Impact of biochar on anaerobic digestion: meta-analysis and economic evaluation. J Environ Chem Eng 10:108870 De Clercq D, Wen Z, Fei F, Caicedo L, Yuan K, Shang R (2020) Interpretable machine learning for predicting biomethane production in industrial-scale anaerobic co-digestion. Sci Total Environ 712:134574 Deng C, Lin R, Kang X, Wu B, Wall DM, Murphy JD (2021) What physicochemical properties of biochar facilitate interspecies electron transfer in anaerobic digestion: a case study of digestion of whiskey by-products. Fuel 306:121736 Dilokekunakul W, Teerachawanwong P, Klomkliang N, Supasitmongkol S, Chaemchuen S (2020) Effects of nitrogen and oxygen functional groups and pore width of activated carbon on carbon dioxide capture: temperature dependence. Chem Eng J 389:124413 Du X, Zhang Y, Ma Y-W, Feng S-X, Zhang Y-X, Kou H-J, Sun Y (2023) The synergistic effect of chemical oxidation and microbial activity on improving volatile fatty acids (VFAs) production during the animal wastewater anaerobic digestion process treated with persulfate/biochar. Sci Total Environ 857:159276 Duan X, Chen Y, Yan Y, Feng L, Chen Y, Zhou Q (2019) New method for algae comprehensive utilization: Algae-derived biochar enhances algae anaerobic fermentation for short-chain fatty acids production. Biores Technol 289:121637 Elkhalifa S, Al-Ansari T, Mackey HR, McKay G (2019) Food waste to biochars through pyrolysis: a review. Resour Conserv Recycl 144:310–320 Ghatak MD, Ghatak A (2018) Artificial neural network model to predict behavior of biogas production curve from mixed lignocellulosic co-substrates. Fuel 232:178–189 Ghysels S, Buffel S, Rabaey K, Ronsse F, Ganigué R (2021) Biochar and activated carbon enhance ethanol conversion and selectivity to caproic acid by Clostridium kluyveri. Biores Technol 319:124236 Grycová B, Koutník I, Pryszcz A, Kaloč M (2016) Application of pyrolysis process in processing of mixed food wastes. Pol J Chem Technol 18:19–23 Gupta R, Zhang L, Hou J, Zhang Z, Liu H, You S, Sik Ok Y, Li W (2023) Review of explainable machine learning for anaerobic digestion. Biores Technol 369:128468 Hai A, Bharath G, Patah MFA, Daud WMAW, K, R., Show, P., Banat, F. (2023) Machine learning models for the prediction of total yield and specific surface area of biochar derived from agricultural biomass by pyrolysis. Environ Technol Innov 30:103071 Hamidzadeh Z, Ghorbannezhad P, Ketabchi MR, Yeganeh B (2023) Biomass-derived biochar and its application in agriculture. Fuel 341:127701 Haq ZU, Ullah H, Khan MNA, Raza Naqvi S, Ahad A, Amin NAS (2022) Comparative study of machine learning methods integrated with genetic algorithm and particle swarm optimization for bio-char yield prediction. Biores Technol 363:128008 He M-X, Wu B, Shui Z-X, Hu Q-C, Wang W-G, Tan F-R, Tang X-Y, Zhu Q-L, Pan K, Li Q, Su X-H (2012) Transcriptome profiling of Zymomonas mobilis under furfural stress. Appl Microbiol Biotechnol 95:189–199 He X, Zhang T, Ren H, Li G, Ding L, Pawlowski L (2017) Phosphorus recovery from biogas slurry by ultrasound/H2O2 digestion coupled with HFO/biochar adsorption process. Waste Manage 60:219–229 Huang W-H, Lee D-J, Huang C (2021) Modification on biochars for applications: a research update. Biores Technol 319:124100 Jia B, Yun S, Shi J, Han F, Wang Z, Chen J, Abbas Y, Xu H, Wang K, Xing T (2020) Enhanced anaerobic mono- and co-digestion under mesophilic condition: Focusing on the magnetic field and Ti-sphere core–shell structured additives. Biores Technol 310:123450 Jiang B, Tian J, Chen H, Zheng H, Xu Z, Lin Y (2022) Heavy metals migration and antibiotics removal in anaerobic digestion of swine manure with biochar addition. Environ Technol Innov 27:102735 Jiang Q, Wu P, Zhang X, Zhang Y, Cui M, Liu H, Liu H (2022) Deciphering the effects of engineered biochar on methane production and the mechanisms during anaerobic digestion: Surface functional groups and electron exchange capacity. Energy Convers Manage 258:115417 Jiang Q, Zhang C, Wu P, Ding P, Zhang Y, Cui M-H, Liu H (2021) Algae biochar enhanced methanogenesis by enriching specific methanogens at low inoculation ratio during sludge anaerobic digestion. Biores Technol 338:125493 Jin H-Y, Yang L, Ren Y-X, Tang C-C, Zhou A-J, Liu W, Li Z, Wang A, He Z-W (2023) Insights into the roles and mechanisms of a green-prepared magnetic biochar in anaerobic digestion of waste activated sludge. Sci Total Environ 896:165170 Jin H, Hanif MU, Capareda S, Chang Z, Huang H, Ai Y (2016) Copper(II) removal potential from aqueous solution by pyrolysis biochar derived from anaerobically digested algae-dairy-manure and effect of KOH activation. J Environ Chem Eng 4:365–372 Kanjanarong J, Giri BS, Jaisi DP, Oliveira FR, Boonsawang P, Chaiprapat S, Singh RS, Balakrishna A, Khanal SK (2017) Removal of hydrogen sulfide generated during anaerobic treatment of sulfate-laden wastewater using biochar: Evaluation of efficiency and mechanisms. Biores Technol 234:115–121 Kant Bhatia S, Palai AK, Kumar A, Kant Bhatia R, Kumar Patel A, Kumar Thakur V, Yang Y-H (2021) Trends in renewable energy production employing biomass-based biochar. Biores Technol 340:125644 Karellas S, Boukis I, Kontopoulos G (2010) Development of an investment decision tool for biogas production from agricultural waste. Renew Sustain Energy Rev 14:1273–1282 Kazemi Shariat Panahi H, Dehhaghi M, Ok YS, Nizami AS, Khoshnevisan B, Mussatto SI, Aghbashlo M, Tabatabaei M, Lam SS (2020) A comprehensive review of engineered biochar: production, characteristics, and environmental applications. J Clean Prod 270:122462 Khashaba NH, Ettouney RS, Abdelaal MM, Ashour FH, El-Rifai MA (2022) Artificial neural network modeling of biochar enhanced anaerobic sewage sludge digestion. J Environ Chem Eng 10:107988 Kizito S, Wu S, Kipkemoi Kirui W, Lei M, Lu Q, Bah H, Dong R (2015) Evaluation of slow pyrolyzed wood and rice husks biochar for adsorption of ammonium nitrogen from piggery manure anaerobic digestate slurry. Sci Total Environ 505:102–112 Klasson KT, Dien BS, Hector RE (2013) Simultaneous detoxification, saccharification, and ethanol fermentation of weak-acid hydrolyzates. Ind Crops Prod 49:292–298 Kumar A, Saini K, Bhaskar T (2020) Hydochar and biochar: Production, physicochemical properties and techno-economic analysis. Biores Technol 310:123442 Kumar M, Dutta S, You S, Luo G, Zhang S, Show PL, Sawarkar AD, Singh L, Tsang DCW (2021) A critical review on biochar for enhancing biogas production from anaerobic digestion of food waste and sludge. J Clean Prod 305:127143 Kumar Sharma A, Kumar Ghodke P, Goyal N, Nethaji S, Chen W-H (2022) Machine learning technology in biohydrogen production from agriculture waste: recent advances and future perspectives. Biores Technol 364:128076 Kusmayadi A, Huang C-Y, Kit Leong Y, Lu P-H, Yen H-W, Lee D-J, Chang J-S (2023) Integration of microalgae cultivation and anaerobic co-digestion with dairy wastewater to enhance bioenergy and biochemicals production. Biores Technol 376:128858 Kyriakou M, Chatziiona VK, Costa CN, Kallis M, Koutsokeras L, Constantinides G, Koutinas M (2019) Biowaste-based biochar: a new strategy for fermentative bioethanol overproduction via whole-cell immobilization. Appl Energy 242:480–491 Lee XJ, Ong HC, Gan YY, Chen W-H, Mahlia TMI (2020) State of art review on conventional and advanced pyrolysis of macroalgae and microalgae for biochar, bio-oil and bio-syngas production. Energy Convers Manage 210:112707 Li B, Yun S, Xing T, Wang K, Ke T, An J (2021) A strategy for understanding the enhanced anaerobic co-digestion via dual-heteroatom doped bio-based carbon and its functional groups. Chem Eng J 425:130473 Li F, Wang X, Yuan T, Sun R (2016) A lignosulfonate-modified graphene hydrogel with ultrahigh adsorption capacity for Pb(ii) removal. Journal of Materials Chemistry A 4:11888–11896 Li J, Zhang L, Li C, Tian H, Ning J, Zhang J, Tong YW, Wang X (2022) Data-driven based in-depth interpretation and inverse design of anaerobic digestion for CH4-rich biogas production. ACS ES&T Engineering 2:642–652 Li M, Wilkins MR (2020) Recent advances in polyhydroxyalkanoate production: feedstocks, strains and process developments. Int J Biol Macromol 156:691–703 Li Q, Xu M, Wang G, Chen R, Qiao W, Wang X (2018) Biochar assisted thermophilic co-digestion of food waste and waste activated sludge under high feedstock to seed sludge ratio in batch experiment. Biores Technol 249:1009–1016 Li X, Chu S, Wang P, Li K, Su Y, Wu D, Xie B (2022) Potential of biogas residue biochar modified by ferric chloride for the enhancement of anaerobic digestion of food waste. Biores Technol 360:127530 Li X, Shimizu N (2023) Biochar-promoted methane production and mitigation of acidification during thermophilic anaerobic co-digestion of food waste with crude glycerol: comparison with re-inoculation. Sustainable Environment Research 33:4 Li X, Wu M, Xue Y (2022) Nickel-loaded shrimp shell biochar enhances batch anaerobic digestion of food waste. Biores Technol 352:127092 Li Y, Gupta R, You S (2022) Machine learning assisted prediction of biochar yield and composition via pyrolysis of biomass. Biores Technol 359:127511 Li Y, Han Y, Zhang Y, Luo W, Li G (2020) Anaerobic digestion of different agricultural wastes: a techno-economic assessment. Biores Technol 315:123836 Li Y, Liu M, Che X, Li C, Liang D, Zhou H, Liu L, Zhao Z, Zhang Y (2020) Biochar stimulates growth of novel species capable of direct interspecies electron transfer in anaerobic digestion via ethanol-type fermentation. Environ Res 189:109983 Liang J, Luo L, Li D, Varjani S, Xu Y, Wong JWC (2021) Promoting anaerobic co-digestion of sewage sludge and food waste with different types of conductive materials: Performance, stability, and underlying mechanism. Biores Technol 337:125384 Limousy L, Jeguirim M, Labaki M (2017) Chapter 11 - Energy applications of coffee processing by-products. In: Galanakis CM (ed) Handbook of Coffee Processing By-Products. Academic, Press, pp 323–367 Lin L, Shah A, Keener H, Li Y (2019) Techno-economic analyses of solid-state anaerobic digestion and composting of yard trimmings. Waste Manage 85:405–416 Liu J, Jia H, Mei M, Wang T, Chen S, Li J (2022) Efficient degradation of diclofenac by digestate-derived biochar catalyzed peroxymonosulfate oxidation: performance, machine learning prediction, and mechanism. Process Saf Environ Prot 167:77–88 Liu J, Smith SR (2020) A multi-level biogas model to optimise the energy balance of full-scale sewage sludge conventional and THP anaerobic digestion. Renewable Energy 159:756–766 Liu Y, He P, Han W, Shao L, Lü F (2020) Outstanding reinforcement on chain elongation through five-micrometer-sized biochar. Renewable Energy 161:230–239 Liu Y, He P, Shao L, Zhang H, Lü F (2017) Significant enhancement by biochar of caproate production via chain elongation. Water Res 119:150–159 Liu Y, Li K, Liu Y, Pu L, Chen Z, Deng S (2015) The high-performance and mechanism of P-doped activated carbon as a catalyst for air-cathode microbial fuel cells. J Materials Chemist A 3:21149–21158 Löfgren J, Tarasov D, Koitto T, Rinke P, Balakshin M, Todorović M (2022) Machine learning optimization of lignin properties in green biorefineries. ACS Sustainable Chemistry & Engineering 10:9469–9479 Lu J-H, Chen C, Huang C, Zhuang H, Leu S-Y, Lee D-J (2020) Dark fermentation production of volatile fatty acids from glucose with biochar amended biological consortium. Biores Technol 303:122921 Luna MF, Ochsner AM, Amstutz V, von Blarer D, Sokolov M, Arosio P, Zinn M (2021) Modeling of continuous PHA Production by a hybrid approach based on first principles and machine learning. Processes 9(9):1560 Manikandan S, Vickram S, Sirohi R, Subbaiya R, Krishnan RY, Karmegam N, Sumathijones C, Rajagopal R, Chang SW, Ravindran B, Awasthi MK (2023) Critical review of biochemical pathways to transformation of waste and biomass into bioenergy. Biores Technol 372:128679 Masebinu SO, Akinlabi ET, Muzenda E, Aboyade AO (2019) A review of biochar properties and their roles in mitigating challenges with anaerobic digestion. Renew Sustain Energy Rev 103:291–307 Nanda S, Azargohar R, Kozinski JA, Dalai AK (2014) Characteristic studies on the pyrolysis products from hydrolyzed canadian lignocellulosic feedstocks. BioEnergy Res 7:174–191 Naqi A, Kuhn JN, Joseph B (2019) Techno-economic analysis of producing liquid fuels from biomass via anaerobic digestion and thermochemical conversion. Biomass Bioenerg 130:105395 Ngo T, Khudur LS, Hakeem IG, Shah K, Surapaneni A, Ball AS (2022) Wood biochar enhances the valorisation of the anaerobic digestion of chicken manure. Clean Technologies 4:420–439 Ni Z, Zhou L, Lin Z, Kuang B, Zhu G, Jia J, Wang T (2023) Iron-modified biochar boosts anaerobic digestion of sulfamethoxazole pharmaceutical wastewater: performance and microbial mechanism. J Hazard Mater 452:131314 Opatokun SA, Kan T, Al Shoaibi A, Srinivasakannan C, Strezov V (2016) characterization of food waste and its digestate as feedstock for thermochemical processing. Energy Fuels 30:1589–1597 Pan G, Dong H, Nouroddin MK (2022) Applying ANFIS and LSSVM Models for the estimation of biochar aromaticity. Int J Chem Eng 2022:5639203 Pan J, Ma J, Zhai L, Luo T, Mei Z, Liu H (2019) Achievements of biochar application for enhanced anaerobic digestion: a review. Biores Technol 292:122058 Pandey AK, Park J, Ko J, Joo H-H, Raj T, Singh LK, Singh N, Kim S-H (2023) Machine learning in fermentative biohydrogen production: advantages, challenges, and applications. Biores Technol 370:128502 Pathy A, Meher S, Balasubramanian P (2020) Predicting algal biochar yield using eXtreme Gradient Boosting (XGB) algorithm of machine learning methods. Algal Res 50:102006 Pilania G, Iverson CN, Lookman T, Marrone BL (2019) Machine-learning-based predictive modeling of glass transition temperatures: a case of polyhydroxyalkanoate homopolymers and copolymers. J Chem Inf Model 59:5013–5025 Qi Q, Sun C, Zhang J, He Y, Wah Tong Y (2021) Internal enhancement mechanism of biochar with graphene structure in anaerobic digestion: The bioavailability of trace elements and potential direct interspecies electron transfer. Chem Eng J 406:126833 Qiao M, Tang C, He G, Qiu K, Binions R, Parkin IP, Zhang Q, Guo Z, Titirici MM (2016) Graphene/nitrogen-doped porous carbon sandwiches for the metal-free oxygen reduction reaction: conductivity versus active sites. J Mater Chem A 4:12658–12666 Qiu S, Xia W, Xu J, Li Z, Ge S (2023) Impacts of 2-bromoethanesulfonic sodium on methanogenesis: Methanogen metabolism and community structure. Water Res 230:119527 Rahimi M, Abbaspour-Fard MH, Rohani A (2022) Synergetic effect of N/O functional groups and microstructures of activated carbon on supercapacitor performance by machine learning. J Power Sources 521:230968 Ren S, Usman M, Tsang DCW, O-Thong S, Angelidaki I, Zhu X, Zhang S, Luo G (2020) Hydrochar-facilitated anaerobic digestion: evidence for direct interspecies electron transfer mediated through surface oxygen-containing functional groups. Environ Sci Technol 54(9):5755–5766 Ruan R, Wu H, Yu C, Zhao C, Zhou D, Shi X, Cao J, Huang B, Luo J (2023) Impacts of magnetic biochar from reed straw on anaerobic digestion of pigment sludge: Biomethane production and the transformation of heavy metals speciation. Process Biochem 125:96–103 Shahbeik H, Rafiee S, Shafizadeh A, Jeddi D, Jafary T, Lam SS, Pan J, Tabatabaei M, Aghbashlo M (2022) Characterizing sludge pyrolysis by machine learning: towards sustainable bioenergy production from wastes. Renewable Energy 199:1078–1092 Shao L, Li S, Cai J, He P, Lü F (2019) Ability of biochar to facilitate anaerobic digestion is restricted to stressed surroundings. J Clean Prod 238:117959 Shen Y, Forrester S, Koval J, Urgun-Demirtas M (2017) Yearlong semi-continuous operation of thermophilic two-stage anaerobic digesters amended with biochar for enhanced biomethane production. J Clean Prod 167:863–874 Shen Y, Linville JL, Urgun-Demirtas M, Schoene RP, Snyder SW (2015) Producing pipeline-quality biomethane via anaerobic digestion of sludge amended with corn stover biochar with in-situ CO2 removal. Appl Energy 158:300–309 Shin DC, Kim IT, Jung J, Jeong Y, Lee YE, Ahn KH (2022) Increasing anaerobic digestion efficiency using food-waste-based biochar. Fermentation 8(6):282 Su C, Tao A, Zhao L, Wang P, Wang A, Huang X, Chen M (2021) Roles of modified biochar in the performance, sludge characteristics, and microbial community features of anaerobic reactor for treatment food waste. Sci Total Environ 770:144668 Sugiarto Y, Sunyoto NMS, Zhu M, Jones I, Zhang D (2021) Effect of biochar in enhancing hydrogen production by mesophilic anaerobic digestion of food wastes: the role of minerals. Int J Hydrogen Energy 46:3695–3703 Sun X, Atiyeh HK, Adesanya Y, Okonkwo C, Zhang H, Huhnke RL, Ezeji T (2020) Feasibility of using biochar as buffer and mineral nutrients replacement for acetone-butanol-ethanol production from non-detoxified switchgrass hydrolysate. Biores Technol 298:122569 Sun Z, Li Y, Pan J (2022) Effect of lignocellulosic biochar on the anaerobic digestion of glucose and its mechanism. Journal of Beijing University of Chemical Technology. Nat Sci Edition 49:7–15 Sunyoto NMS, Zhu M, Zhang Z, Zhang D (2016) Effect of biochar addition on hydrogen and methane production in two-phase anaerobic digestion of aqueous carbohydrates food waste. Biores Technol 219:29–36 Treloar NJ, Fedorec AJH, Ingalls B, Barnes CP (2020) Deep reinforcement learning for the control of microbial co-cultures in bioreactors. PLoS Comput Biol 16:e1007783 Vasudevan D, Richter H, Angenent LT (2014) Upgrading dilute ethanol from syngas fermentation to n-caproate with reactor microbiomes. Biores Technol 151:378–382 Walker GM, Birch RM, Chandrasena G, Maynard AI (1996) Magnesium, calcium, and fermentative metabolism in industrial yeasts. J Am Soc Brew Chem 54:13–18 Wang H, Wang H, Zhao H, Yan Q (2020) Adsorption and Fenton-like removal of chelated nickel from Zn-Ni alloy electroplating wastewater using activated biochar composite derived from Taihu blue algae. Chem Eng J 379:122372 Wang J, Wan W (2009) Application of desirability function based on neural network for optimizing biohydrogen production process. Int J Hydrogen Energy 34:1253–1259 Wang J, Yin Y (2022) Biological production of medium-chain carboxylates through chain elongation: an overview. Biotechnol Adv 55:107882 Wang L, Long F, Liao W, Liu H (2020) Prediction of anaerobic digestion performance and identification of critical operational parameters using machine learning algorithms. Biores Technol 298:122495 Wang S, Shi F, Li P, Yang F, Pei Z, Yu Q, Zuo X, Liu J (2022) Effects of rice straw biochar on methanogenic bacteria and metabolic function in anaerobic digestion. Sci Rep 12:6971 Wang W-T, Dai L-C, Wu B, Qi B-F, Huang T-F, Hu G-Q, He M-X (2020) Biochar-mediated enhanced ethanol fermentation (BMEEF) in Zymomonas mobilis under furfural and acetic acid stress. Biotechnol Biofuels 13:28 Wang Y, Chen L, Chen Y, Xue Y, Liu G, Zheng X, Zhou L, Zhong H (2023) Effects of varying amounts of different biochars on mercury methylation in paddy soils and methylmercury accumulation in rice (Oryza sativa L.). Sci Total Environ 874:162459 Wang Y, Xi B, Li M, Jia X, Wang X, Xu P, Zhao Y (2020) Hydrogen production performance from food waste using piggery anaerobic digested residues inoculum in long-term systems. Int J Hydrogen Energy 45:33208–33217 Workie E, Kumar V, Bhatnagar A, He Y, Dai Y, Wah Tong Y, Peng Y, Zhang J, Fu C (2023) Advancing the bioconversion process of food waste into methane: a systematic review. Waste Manag 156:187–197 Xu R-Z, Cao J-S, Luo J-Y, Feng Q, Ni B-J, Fang F (2022) Integrating mechanistic and deep learning models for accurately predicting the enrichment of polyhydroxyalkanoates accumulating bacteria in mixed microbial cultures. Biores Technol 344:126276 Xu W, Long F, Zhao H, Zhang Y, Liang D, Wang L, Lesnik KL, Cao H, Zhang Y, Liu H (2021) Performance prediction of ZVI-based anaerobic digestion reactor using machine learning algorithms. Waste Manag 121:59–66 Yang S, Wen Q, Chen Z (2021) Effect of KH2PO4-modified biochar on immobilization of Cr, Cu, Pb, Zn and as during anaerobic digestion of swine manure. Biores Technol 339:125570 Yang X, Wan Y, Zheng Y, He F, Yu Z, Huang J, Wang H, Ok YS, Jiang Y, Gao B (2019) Surface functional groups of carbon-based adsorbents and their roles in the removal of heavy metals from aqueous solutions: a critical review. Chem Eng J 366:608–621 Yang X, Yuan C, He S, Jiang D, Cao B, Wang S (2023) Machine learning prediction of specific capacitance in biomass derived carbon materials: effects of activation and biochar characteristics. Fuel 331:125718 Ye W, Lu J, Ye J, Zhou Y (2021) The effects and mechanisms of zero-valent iron on anaerobic digestion of solid waste: A mini-review. J Clean Prod 278:123567 Yu C, Zhu X, Mohamed A, Dai K, Cai P, Liu S, Huang Q, Xing B (2023) Enhanced Cr(VI) bioreduction by biochar: Insight into the persistent free radicals mediated extracellular electron transfer. J Hazard Mater 442:129927 Zandvoort MH, van Hullebusch ED, Gieteling J, Lens PNL (2006) Granular sludge in full-scale anaerobic bioreactors: trace element content and deficiencies. Enzyme Microb Technol 39:337–346 Zhang C, Yang R, Sun M, Zhang S, He M, Tsang D, Luo G (2022a) Wood waste biochar promoted anaerobic digestion of food waste: focusing on the characteristics of biochar and microbial community analysis. Biochar 4. Zhang C, Yang R, Sun M, Zhang S, He M, Tsang DCW, Luo G (2022) Wood waste biochar promoted anaerobic digestion of food waste: focusing on the characteristics of biochar and microbial community analysis. Biochar 4:62 Zhang J, Huang Y, Wang Y, Ma G (2020) Multi-objective optimization of concrete mixture proportions using machine learning and metaheuristic algorithms. Constr Build Mater 253:119208 Zhang L, Jahng D (2012) Long-term anaerobic digestion of food waste stabilized by trace elements. Waste Manag 32:1509–1515 Zhang L, Li F, Kuroki A, Loh K-C, Wang C-H, Dai Y, Tong YW (2020) Methane yield enhancement of mesophilic and thermophilic anaerobic co-digestion of algal biomass and food waste using algal biochar: Semi-continuous operation and microbial community analysis. Biores Technol 302:122892 Zhang L, Lim EY, Loh K-C, Ok YS, Lee JTE, Shen Y, Wang C-H, Dai Y, Tong YW (2020) Biochar enhanced thermophilic anaerobic digestion of food waste: focusing on biochar particle size, microbial community analysis and pilot-scale application. Energy Convers Manag 209:112654 Zhang M, He L, Zhang X, Wang S, Zhang B, Hsieh L, Yang K, Tong M (2022) Improved removal performance of Gram-negative and Gram-positive bacteria in sand filtration system with arginine modified biochar amendment. Water Res 211:118006 Zhang M, Wang Y (2021) Impact of biochar supported nano zero-valent iron on anaerobic co-digestion of sewage sludge and food waste: Methane production, performance stability and microbial community structure. Biores Technol 340:125715 Zhang M, Zang L (2019) A review of interspecies electron transfer in anaerobic digestion. IOP Conference Series: Environ Earth Sci 310:042026 Zhang P, Cristhian C-O, Zhang J (2022) Chapter 7 - Additive strategies for enhanced anaerobic digestion for bioenergy and biochemicals. In: Pandey A, Tong YW, Zhang L (eds) Biomass, Biofuels, Biochemicals. Elsevier, J. Zhang, pp 131–158 Zhang T, Zhang P, Hu Z, Qi Q, He Y, Zhang J (2022) New insight on Fe-bioavailability: Bio-uptake, utilization and induce in optimizing methane production in anaerobic digestion. Chem Eng J 441:136099 Zhang Y, Feng Y, Ren Z, Zuo R, Zhang T, Li Y, Wang Y, Liu Z, Sun Z, Han Y, Feng L, Aghbashlo M, Tabatabaei M, Pan J (2023) Tree-based machine learning model for visualizing complex relationships between biochar properties and anaerobic digestion. Biores Technol 374:128746 Zhao Z, Cao Y, Li S, Zhang Y (2021) Effects of biowaste-derived biochar on the electron transport efficiency during anaerobic acid orange 7 removal. Biores Technol 320(Pt A):124295 Zhu X, Li Y, Wang X (2019) Machine learning prediction of biochar yield and carbon contents in biochar based on biomass characteristics and pyrolysis conditions Biores Technol. Bioresour Technol 288:121527