Recent advancements and challenges in emerging applications of biochar-based catalysts

Biotechnology Advances, Journal Year: 2023, Volume and Issue: 67, P. 108181 - 108181

Published: June 1, 2023

The sustainable utilization of biochar produced from biomass waste could substantially promote the development carbon neutrality and a circular economy. Due to their cost-effectiveness, multiple functionalities, tailorable porous structure, thermal stability, biochar-based catalysts play vital role in biorefineries environmental protection, contributing positive, planet-level impact. This review provides an overview emerging synthesis routes for multifunctional catalysts. It discusses recent advances biorefinery pollutant degradation air, soil, water, providing deeper more comprehensive information catalysts, such as physicochemical properties surface chemistry. catalytic performance deactivation mechanisms under different systems were critically reviewed, new insights into developing efficient practical large-scale use various applications. Machine learning (ML)-based predictions inverse design have addressed innovation with high-performance applications, ML efficiently predicts biochar, interprets underlying complicated relationships, guides synthesis. Finally, benefit economic feasibility assessments are proposed science-based guidelines industries policymakers. With concerted effort, upgrading protection reduce pollution, increase energy safety, achieve management, all which beneficial attaining several United Nations Sustainable Development Goals (UN SDGs) Environmental, Social Governance (ESG).

Language: Английский

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Conversion of organic solid waste into energy and functional materials using biochar catalyst: Bibliometric analysis, research progress, and directions

Applied Catalysis B Environment and Energy, Journal Year: 2023, Volume and Issue: 340, P. 123223 - 123223

Published: Sept. 1, 2023

Language: Английский

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Adsorption performance of Ni(II) by KOH-modified biochar derived from different microalgae species

Bioresource Technology, Journal Year: 2024, Volume and Issue: 394, P. 130287 - 130287

Published: Jan. 3, 2024

Language: Английский

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Machine learning insights in predicting heavy metals interaction with biochar

Biochar, Journal Year: 2024, Volume and Issue: 6(1)

Published: Jan. 25, 2024

Abstract The use of machine learning (ML) in the field predicting heavy metals interaction with biochar is a promising research, mainly because growing understanding how removal efficiency affected by characteristic variables, reaction conditions and properties. practical application still faces large challenges, such as difficulties data collection, inadequate algorithm development, insufficient information. However, quantity, quality, representation have impact on accuracy, efficiency, generalizability tasks. From this perspective, present descriptors, learning-aided property performance prediction, interpretation underlying mechanisms complicated relationships, some potential ways to augment are discussed regarding interactions biochar. Finally, future perspectives challenges discussed, an enhanced model proposed reinforce feasibility particular perspective. Graphical

Language: Английский

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Active Learning-Based Guided Synthesis of Engineered Biochar for CO₂ Capture

Environmental Science & Technology, Journal Year: 2024, Volume and Issue: 58(15), P. 6628 - 6636

Published: March 18, 2024

Biomass waste-derived engineered biochar for CO2 capture presents a viable route climate change mitigation and sustainable waste management. However, optimally synthesizing them enhanced performance is time- labor-intensive. To address these issues, we devise an active learning strategy to guide expedite their synthesis with improved adsorption capacities. Our framework learns from experimental data recommends optimal parameters, aiming maximize the narrow micropore volume of biochar, which exhibits linear correlation its capacity. We experimentally validate predictions, are iteratively leveraged subsequent model training revalidation, thereby establishing closed loop. Over three cycles, synthesized 16 property-specific samples such that uptake nearly doubled by final round. demonstrate data-driven workflow accelerate development high-performance broader applications as functional material.

Language: Английский

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Mechanistic insights into removal of pollutants in adsorption and advanced oxidation processes by livestock manure derived biochar: A review

Separation and Purification Technology, Journal Year: 2024, Volume and Issue: 346, P. 127457 - 127457

Published: April 11, 2024

Language: Английский

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Machine learning applications for biochar studies: A mini-review

Bioresource Technology, Journal Year: 2024, Volume and Issue: 394, P. 130291 - 130291

Published: Jan. 4, 2024

Language: Английский

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Optimization of a Novel Engineered Ecosystem Integrating Carbon, Nitrogen, Phosphorus, and Sulfur Biotransformation for Saline Wastewater Treatment Using an Interpretable Machine Learning Approach

Environmental Science & Technology, Journal Year: 2024, Volume and Issue: 58(29), P. 12989 - 12999

Published: July 10, 2024

The denitrifying sulfur (S) conversion-associated enhanced biological phosphorus removal (DS-EBPR) process for treating saline wastewater is characterized by its unique microbial ecology that integrates carbon (C), nitrogen (N), (P), and S biotransformation. However, operational instability arises due to the numerous parameters intricates bacterial interactions. This study introduces a two-stage interpretable machine learning approach predict conversion-driven P efficiency optimize DS-EBPR process. Stage one utilized XGBoost regression model, achieving an

Language: Английский

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Functionality-dependent removal efficiency and mechanisms of polystyrene microplastics by a robust magnetic biochar

Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 115509 - 115509

Published: Jan. 1, 2025

Language: Английский

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Effect of different production methods on physicochemical properties and adsorption capacities of biochar from sewage sludge and kitchen waste: Mechanism and correlation analysis

Journal of Hazardous Materials, Journal Year: 2023, Volume and Issue: 461, P. 132690 - 132690

Published: Oct. 2, 2023

Language: Английский

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