Research advances on upcycling organic solid waste into CO2 adsorbents: A cross-research review

doi:10.16085/j.issn.1000-6613.2023-1544

Abstract

Abstract:

Carbon capture technologies is indispensable to achieve carbon neutrality goals. In particular, upcycling organic solid waste into porous carbon materials for capturing CO₂ is a sustainable and practical approach that simultaneously mitigates climate change and solid waste pollutions, and thus the syntheses and applications of its adsorbents have been extensively explored. In recent years, in addition to chemical engineering, material science and thermal engineering research methods, many scholars in this field have used molecular simulation, machine learning, life cycle assessment and other research methods to carry out distinctive cross-research on valorization of organic solid waste into CO₂ adsorbents. However, the above-mentioned cross-cutting research is still relatively scattered, lacking a contextual summary, and its rich potential has not been systematically elucidated. This review addressed the research advances on upcycling organic solid waste into porous carbons for adsorbing CO₂. In addition to the conventional process methods and the performance level of the adsorbents, it focused on the application of cross-research in this field, mainly including molecular simulation, machine learning and life cycle assessment. This review provided valuable guidelines for the potential development direction of cross-research in this field through contextual analyses.

Key words: carbon neutral, porous carbon, carbon capture, molecular simulation, machine learning, life cycle assessment

摘要：

碳捕集技术对于实现碳中和目标不可或缺。特别地，将有机固体废弃物高值化为多孔炭吸附剂并捕集CO₂，被认为是一种能够同时缓解气候变化以及固废污染的可持续方法，因此其吸附剂的合成与应用得到广泛关注。近年来，除化工、材料、热工研究方法外，在该领域内许多学者应用分子模拟、机器学习、生命周期评价等研究方法，在固废高值化为CO₂吸附剂方面进行了卓有特色的交叉研究。然而，上述交叉研究仍较为分散，缺乏脉络总结，其丰厚潜力还未得到系统阐明。本文综述了固废高值化为多孔炭吸附剂的研究进展，除常规工艺方法、制取吸附剂的性能水平外，侧重于展示该领域中应用的交叉研究，包含分子模拟、机器学习、生命周期评价三方面。本文通过脉络梳理可为该领域内交叉研究的潜在发展方向提供指引。

关键词: 碳中和, 多孔炭, 碳捕集, 分子模拟, 机器学习, 生命周期评价

CLC Number:

X705

HUANG Zhixin, WANG Junyao, YUAN Xiangzhou, DENG Shuai, ZHAO Jie, ZHANG Xinyi. Research advances on upcycling organic solid waste into CO₂ adsorbents: A cross-research review[J]. Chemical Industry and Engineering Progress, 2024, 43(10): 5748-5764.

黄致新, 王珺瑶, 袁湘洲, 邓帅, 赵洁, 张欣懿. 有机固废高值化为CO₂吸附剂研究进展：交叉研究综述[J]. 化工进展, 2024, 43(10): 5748-5764.

Figures/Tables 11

References 123

1	CAROLINA COLL, GIBBINS JON, SIGURD HEIBERG, et al. Carbon carpture, use and storage (CCUS)[R]. New York: United Nations Economic Commission for Europe (UNECE), 2021.
2	Mara OLIVARES-MARÍN, Mercedes MAROTO-VALER M. Development of adsorbents for CO₂ capture from waste materials: A review[J]. Greenhouse Gases: Science and Technology, 2012, 2(1): 20-35.
3	WANG Junya, HUANG Liang, YANG Ruoyan, et al. Recent advances in solid sorbents for CO₂ capture and new development trends[J]. Energy & Environmental Science, 2014, 7(11): 3478-3518.
4	WANG Qiang, LUO Jizhong, ZHONG Ziyi, et al. CO₂ capture by solid adsorbents and their applications: Current status and new trends[J]. Energy & Environmental Science, 2011, 4(1): 42-55.
5	YUAN Xiangzhou, LEE Jong Gyu, YUN Heesun, et al. Solving two environmental issues simultaneously: Waste polyethylene terephthalate plastic bottle-derived microporous carbons for capturing CO₂ [J]. Chemical Engineering Journal, 2020, 397: 125350.
6	KAZA Silpa, YAO Lisa, Perinaz BHADA-TATA, et al. What a waste 2.0: A global snapshot of solid waste management to 2050[M]. Washington, DC: World Bank, 2018.
7	YOU Siming, SONNE Christian, Yong Sik OK. COVID-19’s unsustainable waste management[J]. Science, 2020, 368(6498): 1438.
8	SINGH Gurwinder, LAKHI Kripal S, Sanchita SIL, et al. Biomass derived porous carbon for CO₂ capture[J]. Carbon, 2019, 148: 164-186.
9	LI Shuangjun, YUAN Xiangzhou, DENG Shuai, et al. A review on biomass-derived CO₂ adsorption capture: Adsorbent, adsorber, adsorption, and advice[J]. Renewable and Sustainable Energy Reviews, 2021, 152: 111708.
10	YUAN Xiangzhou, WANG Junyao, DENG Shuai, et al. Recent advancements in sustainable upcycling of solid waste into porous carbons for carbon dioxide capture[J]. Renewable and Sustainable Energy Reviews, 2022, 162: 112413.
11	YUAN Xiangzhou, DISSANAYAKE Pavani Dulanja, GAO Bin, et al. Review on upgrading organic waste to value-added carbon materials for energy and environmental applications[J]. Journal of Environmental Management, 2021, 296: 113128.
12	DANISH Mohammed, AHMAD Tanweer. A review on utilization of wood biomass as a sustainable precursor for activated carbon production and application[J]. Renewable and Sustainable Energy Reviews, 2018, 87: 1-21.
13	Jin Sun CHA, PARK Sung Hoon, JUNG Sang-Chul, et al. Production and utilization of biochar: A review[J]. Journal of Industrial and Engineering Chemistry, 2016, 40: 1-15.
14	WEI Lu, SEVILLA Marta, FUERTES Antonio B, et al. Hydrothermal carbonization of abundant renewable natural organic chemicals for high-performance supercapacitor electrodes[J]. Advanced Energy Materials, 2011, 1(3): 356-361.
15	GONZÁLEZ-GARCÍA P. Activated carbon from lignocellulosics precursors: A review of the synthesis methods, characterization techniques and applications[J]. Renewable and Sustainable Energy Reviews, 2018, 82: 1393-1414.
16	YUAN Xiangzhou, LI Shuangjun, JEON Sunbin, et al. Valorization of waste polyethylene terephthalate plastic into N-doped microporous carbon for CO₂ capture through a one-pot synthesis[J]. Journal of Hazardous Materials, 2020, 399: 123010.
17	THINES K R, ABDULLAH E C, MUBARAK N M, et al. Synthesis of magnetic biochar from agricultural waste biomass to enhancing route for waste water and polymer application: A review[J]. Renewable and Sustainable Energy Reviews, 2017, 67: 257-276.
18	YUAN Xiangzhou, SUVARNA Manu, Sean LOW, et al. Applied machine learning for prediction of CO₂ adsorption on biomass waste-derived porous carbons[J]. Environmental Science & Technology, 2021, 55(17): 11925-11936.
19	NAZIR Ghazanfar, REHMAN Adeela, PARK Soo-Jin. Role of heteroatoms (nitrogen and sulfur)-dual doped corn-starch based porous carbons for selective CO₂ adsorption and separation[J]. Journal of CO₂ Utilization, 2021, 51: 101641.
20	REHMAN Adeela, NAZIR Ghazanfar, RHEE Kyong YOP, et al. A rational design of cellulose-based heteroatom-doped porous carbons: Promising contenders for CO₂ adsorption and separation[J]. Chemical Engineering Journal, 2021, 420: 130421.
21	LAHIJANI Pooya, MOHAMMADI Maedeh, MOHAMED Abdul Rahman. Metal incorporated biochar as a potential adsorbent for high capacity CO₂ capture at ambient condition[J]. Journal of CO₂ Utilization, 2018, 26: 281-293.
22	Pennline H W. Sorbent research for the capture of carbon dioxide[R]. Pittsburgh: National Energy Technology Laboratory (NETL), 2016.
23	YUAN Xiangzhou, KUMAR Nallapaneni Manoj, Boris BRIGLJEVIĆ, et al. Sustainability-inspired upcycling of waste polyethylene terephthalate plastic into porous carbon for CO₂ capture[J]. Green Chemistry, 2022, 24(4): 1494-1504.
24	RAGANATI Federica, CHIRONE Riccardo, AMMENDOLA Paola. CO₂ capture by temperature swing adsorption: Working capacity As affected by temperature and CO₂ partial pressure[J]. Industrial & Engineering Chemistry Research, 2020, 59(8): 3593-3605.
25	MALLESH D, ANBARASAN J, Mahesh KUMAR P, et al. Synthesis, characterization of carbon adsorbents derived from waste biomass and its application to CO₂ capture[J]. Applied Surface Science, 2020, 530: 147226.
26	PLAZA M G, GONZÁLEZ A S, PEVIDA C, et al. Valorisation of spent coffee grounds as CO₂ adsorbents for postcombustion capture applications[J]. Applied Energy, 2012, 99: 272-279.
27	朱梦媛. 菠萝废弃物基活性炭的制备及其低温CO₂吸附性能[D]. 武汉: 武汉理工大学, 2019.
	ZHU Mengyuan. Preparation of pineapple waste-based activated carbon and its low-temperature CO₂ adsorption performance[D]. Wuhan: Wuhan University of Technology, 2019.
28	YUE Limin, RAO Linli, WANG Liwei, et al. Efficient CO₂ capture by nitrogen-doped biocarbons derived from rotten strawberries[J]. Industrial & Engineering Chemistry Research, 2017, 56(47): 14115-14122.
29	COROMINA Helena Matabosch, WALSH Darren A, MOKAYA Robert. Biomass-derived activated carbon with simultaneously enhanced CO₂ uptake for both pre and post combustion capture applications[J]. Journal of Materials Chemistry A, 2016, 4(1): 280-289.
30	俞泽涛, 曾光华, 周雅彬, 等. 中药固废制备多孔碳及其CO₂吸附性能[J]. 洁净煤技术, 2022, 28(10): 203-211.
	YU Zetao, ZENG Guanghua, ZHOU Yabin, et al. Preparation of porous carbon from solid waste of traditional Chinese medicine and its CO₂ adsorption performance[J]. Clean Coal Technology, 2022, 28(10): 203-211.
31	YANG Fangqi, WANG Jun, LIU Lu, et al. Synthesis of porous carbons with high N-content from shrimp shells for efficient CO₂-capture and gas separation[J]. ACS Sustainable Chemistry & Engineering, 2018, 6(11): 15550-15559.
32	刘沈芳. 生物质基氮掺杂多孔炭用于CO₂吸附和超级电容器电极的研究[D]. 金华: 浙江师范大学, 2021.
	LIU Shenfang. Study on biomass-based nitrogen-doped porous carbon for CO₂ adsorption and supercapacitor electrode[D]. Jinhua: Zhejiang Normal University, 2021.
33	刘清涛. PEI改性生物炭的制备及对CO₂吸附性能的评价[J]. 环境科学学报, 2021, 41(3): 932-939.
	LIU Qingtao. Preparation of PEI-modified biochar and evaluation of its CO₂ adsorption performance[J]. Acta Scientiae Circumstantiae, 2021, 41(3): 932-939.
34	邓淋, 俞倩倩. 莲杆基生物炭吸附CO₂的性能研究[J]. 化工技术与开发, 2021, 50(4): 42-45.
	DENG Lin, YU Qianqian. Study on CO₂ adsorption performance of sugarcane-based activated carbon[J]. Technology & Development of Chemical Industry, 2021, 50(4): 42-45.
35	张莉. 甘蔗渣活性炭的制备及其CO₂吸附性能研究[D]. 武汉: 武汉科技大学, 2019.
	ZHANG Li. Study on preparation of bagasse activated carbon and its CO₂ adsorption performance[D].Wuhan: Wuhan University of Science and Technology, 2019.
36	LI Dawei, MA Tengfei, ZHANG Ruliang, et al. Preparation of porous carbons with high low-pressure CO₂ uptake by KOH activation of rice husk char[J]. Fuel, 2015, 139: 68-70.
37	LIU Xin, SUN Chenggong, LIU Hao, et al. Developing hierarchically ultra-micro/mesoporous biocarbons for highly selective carbon dioxide adsorption[J]. Chemical Engineering Journal, 2019, 361: 199-208.
38	丁帅. 改性海藻焦吸附脱除烟气中二氧化碳的研究[D]. 镇江: 江苏大学, 2020.
	DING Shuai. Study on adsorption and removal of carbon dioxide from flue gas by modified seaweed coke[D].Zhenjiang: Jiangsu University, 2020.
39	石硕. 藻基多孔生物炭的制备及其吸附烟气中CO₂的研究[D]. 镇江: 江苏大学, 2021.
	SHI Shuo. Study on preparation of algae-based porous biochar and its adsorption of CO₂ in flue gas[D]. Zhenjiang: Jiangsu University, 2021.
40	YANG Jie, YUE Limin, HU Xin, et al. Efficient CO₂ capture by porous carbons derived from coconut shell[J]. Energy & Fuels, 2017, 31(4): 4287-4293.
41	ELLO Aimé Serge, DE SOUZA Luiz K C, TROKOUREY Albert, et al. Coconut shell-based microporous carbons for CO₂ capture[J]. Microporous and Mesoporous Materials, 2013, 180: 280-283.
42	YUE Limin, XIA Qiongzhang, WANG Liwei, et al. CO₂ adsorption at nitrogen-doped carbons prepared by K₂CO₃ activation of urea-modified coconut shell[J]. Journal of Colloid and Interface Science, 2018, 511: 259-267.
43	CHEN Jie, YANG Jie, HU Gengshen, et al. Enhanced CO₂ capture capacity of nitrogen-doped biomass-derived porous carbons[J]. ACS Sustainable Chemistry & Engineering, 2016, 4(3): 1439-1445.
44	YANG Mingli, GUO Liping, HU Gengshen, et al. Highly cost-effective nitrogen-doped porous coconut shell-based CO₂ sorbent synthesized by combining ammoxidation with KOH activation[J]. Environmental Science & Technology, 2015, 49(11): 7063-7070.
45	KAUR Balpreet, SINGH Jasminder, GUPTA Raj Kumar, et al. Porous carbons derived from polyethylene terephthalate (PET) waste for CO₂ capture studies[J]. Journal of Environmental Management, 2019, 242: 68-80.
46	ZHAO Yunfeng, LIU Xin, HAN Yu. Microporous carbonaceous adsorbents for CO₂ separation via selective adsorption[J]. RSC Advances, 2015, 5(38): 30310-30330.
47	LI Jiaxin, MICHALKIEWICZ Beata, MIN Jiakang, et al. Selective preparation of biomass-derived porous carbon with controllable pore sizes toward highly efficient CO₂ capture[J]. Chemical Engineering Journal, 2019, 360: 250-259.
48	ZHAO Jie, DENG S, ZHAO Li, et al. Synergistic and competitive effect of H₂O on CO₂ adsorption capture: Mechanism explanations based on molecular dynamic simulation[J]. Journal of CO₂ Utilization, 2021, 52: 101662.
49	HORSTMEIER J F, GOMEZ LOPEZ A, AGAR D W. Performance improvement of vacuum swing adsorption processes for CO₂ removal with integrated phase change material[J]. International Journal of Greenhouse Gas Control, 2016, 47: 364-375.
50	BAHAMON Daniel, OGUNGBENRO Adetola E, KHALEEL Maryam, et al. Performance of activated carbons derived from date seeds in CO₂ swing adsorption determined by combining experimental and molecular simulation data[J]. Industrial & Engineering Chemistry Research, 2020, 59(15): 7161-7173.
51	QUEREJETA N, GARCÍA S, ÁLVAREZ-GUTIÉRREZ N, et al. Measuring heat capacity of activated carbons for CO₂ capture[J]. Journal of CO₂ Utilization, 2019, 33: 148-156.
52	UDDIN Kutub, ISLAM Md Amirul, MITRA Sourav, et al. Specific heat capacities of carbon-based adsorbents for adsorption heat pump application[J]. Applied Thermal Engineering, 2018, 129: 117-126.
53	GUO Bo, CHANG Liping, XIE Kechang. Adsorption of carbon dioxide on activated carbon[J]. Journal of Natural Gas Chemistry, 2006, 15(3): 223-229.
54	姚晨牧, 冯丽, 安亚雄, 等. 碳材料的分子模型及模拟方法在吸附中应用的研究进展[J]. 天然气化工(C1化学与化工), 2021, 46(S1): 1-9.
	YAO Chenmu, FENG Li, AN Yaxiong, et al. Research progress of molecular model and simulation method of carbon materials in adsorption application[J]. Natural Gas Chemical Industry, 2021, 46(S1): 1-9.
55	TENNEY C M, LASTOSKIE C M. Molecular simulation of carbon dioxide adsorption in chemically and structurally heterogeneous porous carbons[J]. Environmental Progress, 2006, 25(4): 343-354.
56	MADDOX M, ULBERG D, GUBBINS K E. Molecular simulation of simple fluids and water in porous carbons[J]. Fluid Phase Equilibria, 1995, 104: 145-158.
57	BILLEMONT Pierre, COASNE Benoit, DE WEIRELD Guy. Adsorption of carbon dioxide, methane, and their mixtures in porous carbons: Effect of surface chemistry, water content, and pore disorder[J]. Langmuir, 2013, 29(10): 3328-3338.
58	LIU Lang, NICHOLSON David, BHATIA Suresh K. Adsorption of CH₄ and CH₄/CO₂ mixtures in carbon nanotubes and disordered carbons: A molecular simulation study[J]. Chemical Engineering Science, 2015, 121: 268-278.
59	ZHANG Junfang, LIU Keyu, CLENNELL M B, et al. Molecular simulation of CO₂-CH₄ competitive adsorption and induced coal swelling[J]. Fuel, 2015, 160: 309-317.
60	PALMER Jeremy C, MOORE Joshua D, ROUSSEL Thomas J, et al. Adsorptive behavior of CO₂, CH₄ and their mixtures in carbon nanospace: A molecular simulation study[J]. Physical Chemistry Chemical Physics, 2011, 13(9): 3985-3996.
61	MICHALEC Lukáš, Martin LÍSAL. Molecular simulation of shale gas adsorption onto overmature type Ⅱ model kerogen with control microporosity[J]. Molecular Physics, 2017, 115(9/10/11/12): 1086-1103.
62	WANG Sen, JAVADPOUR Farzam, FENG Qihong. Fast mass transport of oil and supercritical carbon dioxide through organic nanopores in shale[J]. Fuel, 2016, 181: 741-758.
63	SIZOVA Anastasia A, SIZOV Vladimir V, BRODSKAYA Elena N. Adsorption of CO₂/CH₄ and CO₂/N₂ mixtures in SBA-15 and CMK-5 in the presence of water: A computer simulation study[J]. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2015, 474: 76-84.
64	DANG Yong, ZHAO Lianming, LU Xiaoqing, et al. Molecular simulation of CO₂/CH₄ adsorption in brown coal: Effect of oxygen-, nitrogen-, and sulfur-containing functional groups[J]. Applied Surface Science, 2017, 423: 33-42.
65	LU Xiaoqing, JIN Dongliang, WEI Shuxian, et al. Competitive adsorption of a binary CO₂-CH₄ mixture in nanoporous carbons: Effects of edge-functionalization[J]. Nanoscale, 2015, 7(3): 1002-1012.
66	WANG Yanxia, HU Xiude, HAO Jian, et al. Nitrogen and oxygen codoped porous carbon with superior CO₂ adsorption performance: A combined experimental and DFT calculation study[J]. Industrial & Engineering Chemistry Research, 2019, 58(29): 13390-13400.
67	WU Dawei, YANG Yingju, LIU Jing, et al. Plasma-modified N/O-doped porous carbon for CO₂ capture: An experimental and theoretical study[J]. Energy & Fuels, 2020, 34(5): 6077-6084.
68	CHEN Hongyu, GUO Yang, DU Yankun, et al. The synergistic effects of surface functional groups and pore sizes on CO₂ adsorption by GCMC and DFT simulations[J]. Chemical Engineering Journal, 2021, 415: 128824.
69	LIU Zilong, LI Xue, SHI Di, et al. Superior selective CO₂ adsorption and separation over N₂ and CH₄ of porous carbon nitride nanosheets: Insights from GCMC and DFT simulations[J]. Langmuir, 2023, 39(18): 6613-6622.
70	WU Dawei, LIU Jing, YANG Yingju, et al. Nitrogen/oxygen co-doped porous carbon derived from biomass for low-pressure CO₂ capture[J]. Industrial & Engineering Chemistry Research, 2020, 59(31): 14055-14063.
71	MA Xiancheng, LI Liqing, ZENG Zheng, et al. Experimental and theoretical demonstration of the relative effects of O-doping and N-doping in porous carbons for CO₂ capture[J]. Applied Surface Science, 2019, 481: 1139-1147.
72	LI Xiaofang, YIN Yingying, CHANG Xiao, et al. Doping-induced enhancement of CO₂ adsorption on negatively charged C₃N nanosheet: Insights from DFT calculations[J]. Chemical Engineering Journal, 2020, 387: 123403.
73	DARVISHNEJAD Mohammad Hossein, Adel REISI-VANANI. Synergetic effects of metals in graphyne 2D carbon structure for high promotion of CO₂ capturing[J]. Chemical Engineering Journal, 2021, 406: 126749.
74	MA Xiancheng, SU Changqing, LIU Baogen, et al. Heteroatom-doped porous carbons exhibit superior CO₂ capture and CO₂/N₂ selectivity: Understanding the contribution of functional groups and pore structure[J]. Separation and Purification Technology, 2021, 259: 118065.
75	SATHISHKUMAR Nadaraj, WU Shiuan-Yau, CHEN Hsin-Tsung. Charge-modulated/electric-field controlled reversible CO₂/H₂ capture and storage on metal-free N-doped penta-graphene[J]. Chemical Engineering Journal, 2020, 391: 123577.
76	周逸寰, 解强, 周红阳, 等. 基于分子模拟的多孔炭材料结构模型构建方法研究进展[J]. 化工进展, 2024, 43(3): 1535-1551.
	ZHOU Yihuan, XIE Qiang, ZHOU Hongyang, et al. Modeling of porous carbon materials based on molecular simulation: State-of-the art[J]. Chemical Industry and Engineering Progress, 2024, 43(3): 1535-1551.
77	LI Jiali, Kaizhuo LIM, YANG Haitao, et al. AI applications through the whole life cycle of material discovery[J]. Matter, 2020, 3(2): 393-432.
78	张子杭, 许丹, 胡艳军, 等. 机器学习在有机固废全链条处置中的应用进展[J]. 能源环境保护, 2023, 37(1): 184-193.
	ZHANG Zihang, XU Dan, HU Yanjun, et al. Application progress of machine learning in whole chain disposal of organic solid waste[J]. Energy Environmental Protection, 2023, 37(1): 184-193.
79	WANG Song, ZHANG Zihao, DAI Sheng, et al. Insights into CO₂/N₂ selectivity in porous carbons from deep learning[J]. ACS Materials Letters, 2019, 1(5): 558-563.
80	WANG Song, LI Yi, DAI Sheng, et al. Prediction by convolutional neural networks of CO₂/N₂ selectivity in porous carbons from N₂ adsorption isotherm at 77K[J]. Angewandte Chemie International Edition, 2020, 59(44): 19645-19648.
81	ZHOU Liang. Prediction of CO₂ adsorption on different activated carbons by hybrid group method of data-handling networks and LSSVM[J]. Energy Sources A: Recovery, Utilization, and Environmental Effects, 2019, 41(16): 1960-1971.
82	ZHANG Zihao, SCHOTT Jennifer A, LIU Miaomiao, et al. Prediction of carbon dioxide adsorption via deep learning[J]. Angewandte Chemie International Edition, 2019, 58(1): 259-263.
83	BARKI Hadjer, KHAOUANE Latifa, HANINI Salah. Modelling of adsorption of methane, nitrogen, carbon dioxide, their binary mixtures, and their ternary mixture on activated carbons using artificial neural network[J]. Kemija u Industriji, 2019, 68(7/8): 289-302.
84	ZHU Xinzhe, TSANG Daniel C W, WANG Lei, et al. Machine learning exploration of the critical factors for CO₂ adsorption capacity on porous carbon materials at different pressures[J]. Journal of Cleaner Production, 2020, 273: 122915.
85	GHALANDARI Vahab, HASHEMIPOUR Hassan, BAGHERI Hamidreza. Experimental and modeling investigation of adsorption equilibrium of CH₄, CO₂, and N₂ on activated carbon and prediction of multi-component adsorption equilibrium[J]. Fluid Phase Equilibria, 2020, 508: 112433.
86	LI Jie, PAN Lanjia, SUVARNA Manu, et al. Fuel properties of hydrochar and pyrochar: Prediction and exploration with machine learning[J]. Applied Energy, 2020, 269: 115166.
87	HOSSEIN Mashhadimoslem, MILAD Vafaeinia, MOBIN Safarzadeh, et al. Development of predictive models for activated carbon synthesis from different biomass for CO₂ adsorption using artificial neural networks[J]. Industrial & Engineering Chemistry Research, 2021, 60(38): 13950-13966.
88	Mashhadimoslem Hossein, Ghaemi Ahad. Machine learning analysis and prediction of N₂, N₂O, and O₂ adsorption on activated carbon and carbon molecular sieve[J]. Environmental Science and Pollution Research, 2023, 30(2): 4166-4186.
89	Somayeh Kolbadinejad, Hossein Mashhadimoslem, Ahad Ghaemi, et al. Deep learning analysis of Ar, Xe, Kr, and O₂ adsorption on Activated Carbon and Zeolites using ANN approach[J]. Chemical Engineering and Processing：Process Intensification, 2022, 170: 108662.
90	PALLE Kishor, VUNGUTURI Shanthi, GAYATRI Sambhani Naga, et al. The prediction of CO₂ adsorption on rice husk activated carbons via deep learning neural network[J]. MRS Communications, 2022, 12(4): 434-440.
91	陈一飞, 张晓晴, 谭康豪, 等. 基于机器学习的多孔生物炭吸附CO₂性能预测[J]. 土木与环境工程学报(中英文). DOI:10.11835/j.issn.2096-6717.2023.060 .
	CHEN Yifei, ZHANG Xiaoqing, TAN Kanghao, et al. Prediction of CO₂ adsorption performance in porous biochar based on machine learning[J]. Journal of Civil and Environmental Engineering. DOI:10.11835/j.issn.2096-6717.2023.060 .
92	MA Xiancheng, XU Wenjun, SU Rongkui, et al. Insights into CO₂ capture in porous carbons from machine learning, experiments and molecular simulation[J]. Separation and Purification Technology, 2023, 306: 122521.
93	王璐, 张磊, 都健. 机器学习高效筛选用于CO₂/N₂选择性吸附分离的沸石材料[J]. 化工进展, 2023, 42(1): 148-158.
	WANG Lu, ZHANG Lei, DU Jian. Efficient screening of zeolite materials for selective adsorption and separation of CO₂/N₂ by machine learning[J]. Chemical Industry and Engineering Progress, 2023, 42(1): 148-158.
94	姜明星, 王斯坦, 许端平. 基于机器学习的金属有机框架吸附水中重金属性能预测[J]. 中国环境科学, 2023, 43(5): 2319-2327.
	JIANG Mingxing, WANG Sitan, XU Duanping. Prediction of adsorption performance of MOFs for heavy metals in water based on machine learning[J]. China Environmental Science, 2023, 43(5): 2319-2327.
95	李炜, 梁添贵, 林元创, 等. 机器学习辅助高通量筛选金属有机骨架材料[J]. 化学进展, 2022, 34(12): 2619-2637.
	LI Wei, LIANG Tiangui, LIN Yuanchuang, et al. Machine learning accelerated high-throughput computational screening of metal-organic frameworks[J]. Progress in Chemistry, 2022, 34(12): 2619-2637.
96	杨潇. 用于化学战剂捕获的MOF吸附剂高通量分子模拟研究[D]. 广州: 广州大学, 2023.
	YANG Xiao. Study on high throughput molecular simulation of MOF adsorbent for chemical warfare agent capture[D]. Guangzhou: Guangzhou University, 2023.
97	FANOURGAKIS George S, GKAGKAS Konstantinos, TYLIANAKIS Emmanuel, et al. A universal machine learning algorithm for large-scale screening of materials[J]. Journal of the American Chemical Society, 2020, 142(8): 3814-3822.
98	BORBOUDAKIS Giorgos, STERGIANNAKOS Taxiarchis, FRYSALI Maria, et al. Chemically intuited, large-scale screening of MOFs by machine learning techniques[J]. NPJ Computational Materials, 2017, 3: 40.
99	DU Zhenyu, DENG Shuai, ZHAO Li, et al. A high-throughput computational screening of potential adsorbents for a thermal compression CO₂ Brayton cycle[J]. Sustainable Energy & Fuels, 2021, 5(5): 1415-1428.
100	LI Wei, XIA Xiaoxiao, LI Song. Screening of covalent-organic frameworks for adsorption heat pumps[J]. ACS Applied Materials & Interfaces, 2020, 12(2): 3265-3273.
101	翟一杰, 张天祚, 申晓旭, 等. 生命周期评价方法研究进展[J]. 资源科学, 2021, 43(3): 446-455.
	ZHAI Yijie, ZHANG Tianzuo, SHEN Xiaoxu, et al. Development of life cycle assessment method[J]. Resources Science, 2021, 43(3): 446-455.
102	刘蔚, 毛开伟, 张廷军, 等. 生命周期评价体系的开发及其在生物质资源化领域的应用进展[J]. 环境工程, 2019, 37: 384-388.
	LIU Wei, MAO Kaiwei, ZHANG Tingjun, et al. Development of life cycle assessment and application in biomass resource recovery[J]. Environmental Engineering, 2019, 37:384-388.
103	ARENA Noemi, LEE Jacquetta, CLIFT Roland. Life cycle assessment of activated carbon production from coconut shells[J]. Journal of Cleaner Production, 2016, 125: 68-77.
104	Darithsa LOYA-GONZÁLEZ, Margarita LOREDO-CANCINO, Eduardo SOTO-REGALADO, et al. Optimal activated carbon production from corn pericarp: A life cycle assessment approach[J]. Journal of Cleaner Production, 2019, 219: 316-325.
105	LEFEBVRE David, WILLIAMS Adrian, KIRK Guy J D, et al. An anticipatory life cycle assessment of the use of biochar from sugarcane residues as a greenhouse gas removal technology[J]. Journal of Cleaner Production, 2021, 312: 127764.
106	SEPÚLVEDA-CERVANTES Cynthia V, Eduardo SOTO-REGALADO, Pasiano RIVAS-GARCÍA, et al. Technical-environmental optimisation of the activated carbon production of an agroindustrial waste by means response surface and life cycle assessment[J]. Waste Management & Research: the Journal for a Sustainable Circular Economy, 2018, 36(2): 121-130.
107	刘阳, 靳晨生, 张海亚, 等. 秸秆生物炭的固碳减排潜力及其环境影响[J]. 中国环境科学, 2024, 44(1): 396-403.
	LIU Yang, JIN Chensheng, ZHANG Haiya, et al. Carbon sequestration and emission reduction potential of straw biochar and its environmental impacts[J]. China Environmental Science, 2024, 44(1): 396-403.
108	STRUHS Ethan, MIRKOUEI Amin, YOU Yaqi, et al. Techno-economic and environmental assessments for nutrient-rich biochar production from cattle manure: A case study in Idaho, USA[J]. Applied Energy, 2020, 279: 115782.
109	ZHU Xiefei, LABIANCA Claudia, HE Mingjing, et al. Life-cycle assessment of pyrolysis processes for sustainable production of biochar from agro-residues[J]. Bioresource Technology, 2022, 360: 127601.
110	LI Xianyue, WANG Rongchen, SHAO Chenyang, et al. Biochar and hydrochar from agricultural residues for soil conditioning: Life cycle assessment and microbially mediated C and N cycles[J]. ACS Sustainable Chemistry & Engineering, 2022, 10(11): 3574-3583.
111	HEIDARI Ava, KHAKI Eshagh, YOUNESI Habibollah, et al. Evaluation of fast and slow pyrolysis methods for bio-oil and activated carbon production from eucalyptus wastes using a life cycle assessment approach[J]. Journal of Cleaner Production, 2019, 241: 118394.
112	HERSH BENJAMIN, MIRKOUEI AMIN. Life cycle assessment of pyrolysis-derived biochar from organic wastes and advanced feedstocks[C]//Proceedings of ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, August 18-21, 2019, Anaheim, California, USA. 2019
113	RAJABI HAMEDANI Sara, KUPPENS Tom, MALINA Robert, et al. Life cycle assessment and environmental valuation of biochar production: Two case studies in Belgium[J]. Energies, 2019, 12(11): 2166.
114	PIEROBON Francesca, EASTIN Ivan L, GANGULY Indroneil. Life cycle assessment of residual lignocellulosic biomass-based jet fuel with activated carbon and lignosulfonate as co-products[J]. Biotechnology for Biofuels, 2018, 11(1): 139.
115	YUAN Xiangzhou, WANG Junyao, DENG Shuai, et al. Sustainable food waste management: Synthesizing engineered biochar for CO₂ capture[J]. ACS Sustainable Chemistry & Engineering, 2022, 10(39): 13026-13036.
116	WANG Junyao, YUAN Xiangzhou, DENG Shuai, et al. Waste polyethylene terephthalate (PET) plastics-derived activated carbon for CO₂ capture: A route to a closed carbon loop[J]. Green Chemistry, 2020, 22(20): 6836-6845.
117	DUTTA Baishali, RAGHAVAN Vijaya. A life cycle assessment of environmental and economic balance of biochar systems in Quebec[J]. International Journal of Energy and Environmental Engineering, 2014, 5(2): 106.
118	PUETTMANN Maureen, SAHOO Kamalakanta, WILSON Kelpie, et al. Life cycle assessment of biochar produced from forest residues using portable systems[J]. Journal of Cleaner Production, 2020, 250: 119564.
119	HAMMOND Jim, SHACKLEY Simon, SOHI Saran, et al. Prospective life cycle carbon abatement for pyrolysis biochar systems in the UK[J]. Energy Policy, 2011, 39(5): 2646-2655.
120	TADELE Debela, ROY Poritosh, DEFERSHA Fantahun, et al. Life Cycle Assessment of renewable filler material (biochar) produced from perennial grass (Miscanthus) [J]. Aims Energy, 2019, 7(4): 430-440.
121	ROBERTS Kelli G, GLOY Brent A, JOSEPH Stephen, et al. Life cycle assessment of biochar systems: Estimating the energetic, economic, and climate change potential[J]. Environmental Science & Technology, 2010, 44(2): 827-833.
122	PAPAGEORGIOU Asterios, AZZI Elias S, ENELL Anja, et al. Biochar produced from wood waste for soil remediation in Sweden: Carbon sequestration and other environmental impacts[J]. The Science of the Total Environment, 2021, 776: 145953.
123	HJAILA K, BACCAR R, SARRÀ M, et al. Environmental impact associated with activated carbon preparation from olive-waste cake via life cycle assessment[J]. Journal of Environmental Management, 2013, 130: 242-247.

原料	炭化方法	炭化温度 /℃	活化剂	活化温度 /℃	表面改性剂	吸附容量（25℃，1bar） /mmol·g^-1	动态吸附容量 /mmol·g^-1	选择性（CO₂-N₂）/%
菠萝废弃物^[27]	水热炭化	210	草酸锂、草酸钠、草酸钾	700	—	4.25	0.93	18.4~38.4
腐烂草莓^[28]	水热炭化	180	KOH	650	—	4.49	—	20
菊君草^[29]	水热炭化	250	KOH	700	—	4.90	—	—
山茶花^[29]	水热炭化	250	KOH	700	—	5.00	—	—
中药固废^[30]	水热炭化	270	KOH	600~800	尿素	4.02	—	21.26
虾壳^[31]	热解	400	KOH	700	—	4.20	—	23
荷叶^[32]	热解	500	NaNH₂	450~550	NaNH₂	3.5	0.82	21
榛子壳^[32]	热解	500	NaNH₂	500~600	NaNH₂	4.23	1.00	17
菱角壳^[32]	热解	500	KOH	550~650	硫脲	4.34	0.89	22
玉米芯^[33]	—	700	—	—	PEI	4.75（20℃）	2.6~2.7	—
莲杆^[34]	热解	1000	K₂CO₃/KHCO₃	80	—	—	—	—
甘蔗渣^[35]	热解	600	KOH	600	尿素	4.8	—	22
	水热炭化	240	KOH	800	乙酸	4.47	—	21.5
稻壳^[36-37]	—	520	KOH	710	—	4.16	—	—
	—	200	KOH	700	PEI	4.50	—	—
藻类^[38-39]	热解	400~800	KOH	400~800	—	0.37~1.05	—	—
	热解	800	KOH	600	尿素	3.44	—	—
	热解	800	KOH	600	尿素	3.94	—	—
椰子壳^[40-44]	热解	500	KOH	600	—	4.23	—	—
	热解	800	CO₂	800	—	3.90	—	—
	热解	500	K₂CO₃	600	尿素	4.70	—	11
	热解	500	KOH	650	尿素	4.80	—	15
	热解	500	KOH	650	氨	4.26	—	—
PET废塑料^[5,16,23,45]	热解	700	KOH	700	—	—	2.31	—
	热解	600	KOH	700	—	4.42	3.31	14
	热解	600	KOH	700	尿素	4.58	3.51	19
	热解	600	CO₂	900	—	3.63	2.68	—

原料	炭化方法	炭化温度 /℃	活化剂	活化温度 /℃	表面改性剂	吸附容量（25℃，1bar） /mmol·g^-1	动态吸附容量 /mmol·g^-1	选择性（CO₂-N₂）/%
菠萝废弃物^[27]	水热炭化	210	草酸锂、草酸钠、草酸钾	700	—	4.25	0.93	18.4~38.4
腐烂草莓^[28]	水热炭化	180	KOH	650	—	4.49	—	20
菊君草^[29]	水热炭化	250	KOH	700	—	4.90	—	—
山茶花^[29]	水热炭化	250	KOH	700	—	5.00	—	—
中药固废^[30]	水热炭化	270	KOH	600~800	尿素	4.02	—	21.26
虾壳^[31]	热解	400	KOH	700	—	4.20	—	23
荷叶^[32]	热解	500	NaNH₂	450~550	NaNH₂	3.5	0.82	21
榛子壳^[32]	热解	500	NaNH₂	500~600	NaNH₂	4.23	1.00	17
菱角壳^[32]	热解	500	KOH	550~650	硫脲	4.34	0.89	22
玉米芯^[33]	—	700	—	—	PEI	4.75（20℃）	2.6~2.7	—
莲杆^[34]	热解	1000	K₂CO₃/KHCO₃	80	—	—	—	—
甘蔗渣^[35]	热解	600	KOH	600	尿素	4.8	—	22
	水热炭化	240	KOH	800	乙酸	4.47	—	21.5
稻壳^[36-37]	—	520	KOH	710	—	4.16	—	—
	—	200	KOH	700	PEI	4.50	—	—
藻类^[38-39]	热解	400~800	KOH	400~800	—	0.37~1.05	—	—
	热解	800	KOH	600	尿素	3.44	—	—
	热解	800	KOH	600	尿素	3.94	—	—
椰子壳^[40-44]	热解	500	KOH	600	—	4.23	—	—
	热解	800	CO₂	800	—	3.90	—	—
	热解	500	K₂CO₃	600	尿素	4.70	—	11
	热解	500	KOH	650	尿素	4.80	—	15
	热解	500	KOH	650	氨	4.26	—	—
PET废塑料^[5,16,23,45]	热解	700	KOH	700	—	—	2.31	—
	热解	600	KOH	700	—	4.42	3.31	14
	热解	600	KOH	700	尿素	4.58	3.51	19
	热解	600	CO₂	900	—	3.63	2.68	—

材料	孔隙形状	表面化学组成	模拟方法	相互作用势	模拟条件	参考文献
多孔炭	多孔材料	氢、羟基团、醚、酯	GCMC	Compass	298K	[5]
石墨层	狭缝型孔隙	吡啶N、羧基团	GCMC	Lennard-Jones	273~304K	[55]
多孔炭	纳米管	羧基团	GCMC	Lennard-Jones	119.8K	[56]
多孔炭	蜂窝状	C-H group	GCMC	Lennard-Jones	318.15K	[57]
多孔炭	纳米管	—	GCMC	Lennard-Jones	300K	[58]
煤炭	层状堆叠	—	MD	GROMOS	312~394K	[59]
多孔炭	多孔球	—	GCMC	Lennard-Jones	—	[60]
多孔炭	片状	硫、氮掺杂	MD	CVFF	365K	[61]
石墨烯层	狭缝型纳米孔隙	—	MD	Lennard-Jones	353~413K	[62]
多孔炭	纳米管	羧、羰、羟基团	GCMC	Lennard-Jones; Coulomb	298K	[63]
煤炭	多孔材料	硫、氮掺杂	MD	Lennard-Jones	298K，313K，373K	[64]
多孔炭	纳米管	氢、羟、胺、羧基团	GCMC	Lennard-Jones；Columbic	298K，313K，373K	[65]

材料	孔隙形状	表面化学组成	模拟方法	相互作用势	模拟条件	参考文献
多孔炭	多孔材料	氢、羟基团、醚、酯	GCMC	Compass	298K	[5]
石墨层	狭缝型孔隙	吡啶N、羧基团	GCMC	Lennard-Jones	273~304K	[55]
多孔炭	纳米管	羧基团	GCMC	Lennard-Jones	119.8K	[56]
多孔炭	蜂窝状	C-H group	GCMC	Lennard-Jones	318.15K	[57]
多孔炭	纳米管	—	GCMC	Lennard-Jones	300K	[58]
煤炭	层状堆叠	—	MD	GROMOS	312~394K	[59]
多孔炭	多孔球	—	GCMC	Lennard-Jones	—	[60]
多孔炭	片状	硫、氮掺杂	MD	CVFF	365K	[61]
石墨烯层	狭缝型纳米孔隙	—	MD	Lennard-Jones	353~413K	[62]
多孔炭	纳米管	羧、羰、羟基团	GCMC	Lennard-Jones; Coulomb	298K	[63]
煤炭	多孔材料	硫、氮掺杂	MD	Lennard-Jones	298K，313K，373K	[64]
多孔炭	纳米管	氢、羟、胺、羧基团	GCMC	Lennard-Jones；Columbic	298K，313K，373K	[65]

材料	表面化学组成	模拟方法	CO₂吸附能/kJ·mol^-1	机制	参考文献
多孔炭	N/O共掺杂	DFT	-29.34	氮氧协同增加表面吸附的范德华作用	[66]
多孔炭球	N掺杂、O掺杂	DFT	-21.5	氧掺杂表面亲和力比氮掺杂表面亲和力弱	[67]
石墨层	N、P、S、O掺杂	DFT/GCMC	-34.42	表面极性官能团的氢键相互作用增强CO₂吸附性能	[68]
C₉N₇	N掺杂	DFT/GCMC	-26.32	层间距与CO₂吸附性能相关	[69]
多孔炭	Co掺杂、吡咯掺杂	DFT	-21.4	表面与CO₂没有明显电荷转移，阐明物理吸附机制	[70]
多孔炭	N/O共掺杂	DFT/GCMC	-35.1	高氧含量表面掺杂氮增强静电相互作用	[71]
C₃N	B掺杂、P掺杂	DFT	-30.53	磷掺杂表面的异质电荷密度分布和C、P原子的p轨道杂化	[72]
石墨炔	Sc掺杂、Cr掺杂	DFT	-23.23	多金属共修饰的石墨炔具有协同作用	[73]
多孔炭	N/O共掺杂	GCMC	-39.4	孔径增大和氮氧掺杂增强CO₂吸附性能	[74]
石墨烯	N掺杂	DFT	-34.75	负电荷密度增强氮掺杂表面的相互作用	[75]

Research advances on upcycling organic solid waste into CO₂ adsorbents: A cross-research review

有机固废高值化为CO₂吸附剂研究进展：交叉研究综述

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年份	吸附剂类型	输入特征	预测指标	算法	数据集大小	预测效果
2018^[81]	AC	T、P、比表面积、孔体积	CO₂吸附量	LSSVM	104	R²>0.89
2019^[82]	PC	S_bet、V_micro、V_meso、V_total、T、P	CO₂吸附量	ANN	1000	R²>0.9
2019^[79]	PC	S_bet、V_micro、V_meso、T、P	CO₂、N₂吸附量	ANN	1138	R²=0.96
2019^[83]	AC	比表面积、V_micro、T、P	CO₂, CH₄, N₂及其混合物吸附量	ANN	40~417	R²>0.99
2020^[80]	PC	N₂等温线、T、P	CO₂ 、N₂吸附量	CNN	679	—
2020^[84]	BWDPC	C、N、O、H、T、P、S_bet、V_micro、V_meso、V_ultra	CO₂吸附量	RF	6244	0.43(省略 k)
2020^[85]	AC	P、T	CH₄、CO₂、N₂吸附量	ANN	—	R²=0.997~0.999
2020^[86]	水炭、热解炭	C、H、N、O、FC、A、V、t_H、T_H、C_W、T_P、PHR、t_P	HHV、ER、ED	SVM	248	R²=0.90,0.94
2021^[18]	BWDPC	S_bet、V_total、V_micro、C、O、H、N、T、P	CO₂吸附量	GBDT	527	R²=0.84
2021^[87]	BWDPC	碳前体、活化剂、T_P、孔体积、P、T	比表面积、CO₂吸附量	ANN	421	R²>0.99
2022^[88]	AC、碳分子筛	P、T、吸附剂类型（等温线数据）	N₂、N₂O、O₂吸附量	ANN	1242	R²=0.993~0.996
2022^[89]	AC、沸石	P、（303K）	Ar, Xe, Kr, O₂吸附量	ANN	1400	R²=0.9978~0.9998
2022^[90]	BWDPC	V_micro、V_meso、S_bet、T、P	CO₂吸附量	ANN	500	0.43(省略 k)
2023^[91]	生物炭	T_P、C、H、O、N、S_bet、V_total、V_micro	CO₂吸附量	LGBM	334	R²=0.94
2023^[92]	PC	V_total、V_micro、V_ultra、S_bet、O、N、T、P	CO₂吸附量	RF	1594	R²>0.97

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