Interpretable machine learning for predicting heavy metal removal and optimizing biochar characteristics DOI
Chaojie Wang, Yuxin Zhao, Yurong Gao

et al.

Journal of Water Process Engineering, Journal Year: 2024, Volume and Issue: 68, P. 106484 - 106484

Published: Nov. 11, 2024

Language: Английский

Efficacy of biochar as a catalyst for a Fenton-like reaction: Experimental, statistical and mathematical modeling analysis DOI
Oscar M. Rodríguez-Narváez,

Bhuman Pandita,

Omesh Goyal

et al.

Journal of Water Process Engineering, Journal Year: 2025, Volume and Issue: 70, P. 107014 - 107014

Published: Jan. 18, 2025

Language: Английский

Citations

1

Machine learning prediction of biochar-specific surface area based on plant characterization information DOI
Zihao Jiang, Qingfeng Xia, Xueying Lu

et al.

Renewable Energy, Journal Year: 2025, Volume and Issue: 243, P. 122633 - 122633

Published: Feb. 6, 2025

Language: Английский

Citations

0

Porous Carbon Materials: from Traditional Synthesis, Machine Learning‐Assisted Design, to Their Applications in Advanced Energy Storage and Conversion DOI Open Access
Haitao Li, Yan Qu, Jihao Li

et al.

Advanced Functional Materials, Journal Year: 2025, Volume and Issue: unknown

Published: March 18, 2025

Abstract Porous carbon materials (PCMs) have long played key roles in energy storage and conversion fields, known for their abundant raw materials, tunable pore structures, large surface area, excellent conductivity. Despite significant progress, there remains a substantial gap between the precise design of PCMs full utilization unique properties developing high‐performance electrode materials. Herein, this review systematically comprehensively introduces from traditional synthesis, machine learning‐assisted principles to applications. Specifically, preparation methods microporous, mesoporous, macroporous, hierarchically porous are thoroughly summarized, with an emphasis on structural control rules formation mechanisms. It also highlights advantages alkali metal‐ion batteries, metal–sulfur supercapacitors, electrocatalysis. Insights situ operando characterizations provide deep understanding correlation structure performance. Finally, current challenges future directions discussed, emphasizing need further advancements meet evolving demands. This offers valuable guidance rational points out research development.

Language: Английский

Citations

0

A ferric chloride/sodium alginate/biochar composite as a filler for a permeable reactive barrier for removing Cr(VI) from groundwater DOI Creative Commons

Haihua Li,

Xinyi Wang,

Hongyu Nie

et al.

Environmental Technology & Innovation, Journal Year: 2025, Volume and Issue: unknown, P. 104155 - 104155

Published: March 1, 2025

Language: Английский

Citations

0

Surface and Interface Modification of Biochar Based on Thermal Nanobubble Water DOI

Mei Yue,

Jia Liu, Pei‐Cheng Jiang

et al.

Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 116537 - 116537

Published: April 1, 2025

Language: Английский

Citations

0

Innovative approaches in adsorbent production through pyrolysis of waste biomass: Effective parameters, modifications, and techno‐economic analysis DOI
Behnam Rezvani

The Canadian Journal of Chemical Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: April 24, 2025

Abstract The growing demand for sustainable waste management solutions and protection of natural resources from pollution has increased interest in effective adsorbents. This study explores recent advancements producing biochar activated carbon derived various biomass, including novel pyrolysis methods, such as microwave, flash, vacuum pyrolysis. Moreover, innovative upgrading processes, ultrasound, electrochemical, plasma modification, were assessed. article also examines the role chemical physical modification developing optimal pore structures surface characteristics that improve pollutant removal efficiency. Key parameters influence effectiveness analyzed, temperature, heating rate, residence time, reactor type. Furthermore, a techno‐economic analysis is presented, investigating feasibility cost‐effectiveness production. comprehensive overview serves foundation future research to advance field biomass‐derived adsorbents, with potential implications control resource recovery.

Language: Английский

Citations

0

Regulatory Effects of Different Biochar on Soil Properties and Microbial Community Structure in Chrysanthemum Continuous Cropping Soil DOI Creative Commons
Yang Feng, Xin Hu,

Yanhuan Guan

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(9), P. 2034 - 2034

Published: Sept. 6, 2024

Chrysanthemum, an agricultural economic crop with ornamental, medicinal, and edible values, faces the problem of continuous cropping obstacles in its cultivation. As a potential soil conditioner used to address (CCOs), applicability biochar chrysanthemum cultivation has become research hotspot. This study explored effects three different types (rice straw = RB, pig manure PB, sludge SB) on for that had been continuously cultivated eight years through pot experiments. The results indicate addition significantly reduced water loss. Compared CK, retention rates SB PB treatments increased by 25.4% 18.4%, respectively. In treatment, contents available phosphorus (AP) potassium (AK) 85% 164%, nitrogen (AN) content showed highest increase under treatment. All could improve pH value CCOs (increased 0.4–5.4%). microbial community diversity that, compared RB slightly bacterial communities (by 1.50% 0.41%, respectively). However, treatment 0.41%). At same time, inhibited fungal (reduced 15.15% 6.67%, respectively), while promoted 5.45%). Furthermore, analysis phyla genera indicated enhancing beneficial phylum Actinobacteriota (8.66% 4.64%) genus Nocardioides (23.29% 9.69%). Additionally, enhanced Firmicutes (7.03%). contributed Ascomycota (1.51%). Chaetomium (56.34%). all effectively abundance harmful Basidiomycota (30.37–73.03%). treatments, Mucoromycota was decreased 36.22% 62.60%, Finally, Acremonium (1.15–35.19%) Phoma (97.1–98.7%). this study, we investigated effect kinds (RB, potting experiments found they reduce loss, enhance retention, nutrient content, value, regulate communities, microorganisms, microorganisms. These provide scientific basis addressing barriers (CC) supporting sustainability agriculture development agroecology.

Language: Английский

Citations

3

Interpretable machine learning for predicting heavy metal removal and optimizing biochar characteristics DOI
Chaojie Wang, Yuxin Zhao, Yurong Gao

et al.

Journal of Water Process Engineering, Journal Year: 2024, Volume and Issue: 68, P. 106484 - 106484

Published: Nov. 11, 2024

Language: Английский

Citations

2