Efficient removal of cadmium by zero-valent iron-coated hydrochar derived from biogas residues: Surface interaction and machine learning interpretation

• Fe@HC was fabricated by BR and Fe 0 loading; • The adsorption capacity of Cd(II) reached 496.51 mg/g with neutral-alkaline pH condition; • Cd(II) removal was mainly controlled by pore-filling, complexations, and reduction; • ANN model was employed to interpret and optimize Fe@HC parameters; • Efficiency of Fe@HC retained 79.88% after five regeneration cycles. Biogas residue (BR) is the major byproduct from anaerobic digestion, which was valorized by fabricating zero-valent iron-coated hydrochar (Fe@HC) in this work. The Fe@HC was then employed for cadmium removal from wastewater. Further, various techniques were applied to confirmed the successful zero-valent iron Fe loading onto mesoporous BR-derived hydrochar, revealing layered structures and abundant functional groups on Fe@HC. The composite achieved a high Cd(II) removal performance with adsorption capacity of 496.51 mg∙g −1 , according to synergistic mechanisms such as electrostatic attraction, precipitation, surface complexation, ion exchange, and chemical reduction. Besides, the artificial neural network (ANN) model was used to optimize Fe@HC synthesis and adsorption parameters (R 2 > 0.98), identifying the key factors of hydrothermal temperature (19.11%) and Fe 2 O 3 dosage (12.61%). All these results demonstrated a sustainable strategy for simultaneous BR reutilization and heavy metal immobilization, offering a promising pathway for machine learning application.

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Publication Details

Journal
Results in Engineering
Published
2025-07-16
DOI
https://doi.org/10.1016/j.rineng.2025.106310
Citations
3
Primary Topic
Environmental remediation with nanomaterials
Type
article
Field-Weighted Citation Impact
2.02

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article

Efficient removal of cadmium by zero-valent iron-coated hydrochar derived from biogas residues: Surface interaction and machine learning interpretation

Dingxiang Chen, Kuo-Hsun Wen, Qian Tang, Rui Xu et al.
3 citations
Results in Engineering
Environmental remediation with nanomaterials
2.02
article

Efficient removal of cadmium by zero-valent iron-coated hydrochar derived from biogas residues: Surface interaction and machine learning interpretation

Dingxiang Chen, Kuo-Hsun Wen, Qian Tang, Rui Xu, Hui–Ming Cheng, Jianfeng Yu, Huabin Wang, Xiangcheng Yang
article en
3 citations

Abstract

• Fe@HC was fabricated by BR and Fe 0 loading; • The adsorption capacity of Cd(II) reached 496.51 mg/g with neutral-alkaline pH condition; • Cd(II) removal was mainly controlled by pore-filling, complexations, and reduction; • ANN model was employed to interpret and optimize Fe@HC parameters; • Efficiency of Fe@HC retained 79.88% after five regeneration cycles. Biogas residue (BR) is the major byproduct from anaerobic digestion, which was valorized by fabricating zero-valent iron-coated hydrochar (Fe@HC) in this work. The Fe@HC was then employed for cadmium removal from wastewater. Further, various techniques were applied to confirmed the successful zero-valent iron Fe loading onto mesoporous BR-derived hydrochar, revealing layered structures and abundant functional groups on Fe@HC. The composite achieved a high Cd(II) removal performance with adsorption capacity of 496.51 mg∙g −1 , according to synergistic mechanisms such as electrostatic attraction, precipitation, surface complexation, ion exchange, and chemical reduction. Besides, the artificial neural network (ANN) model was used to optimize Fe@HC synthesis and adsorption parameters (R 2 > 0.98), identifying the key factors of hydrothermal temperature (19.11%) and Fe 2 O 3 dosage (12.61%). All these results demonstrated a sustainable strategy for simultaneous BR reutilization and heavy metal immobilization, offering a promising pathway for machine learning application.

Results in EngineeringVol. 27
Yunnan Normal University (CN), Yunnan Agricultural University (CN)
National Natural Science Foundation of China, Applied Basic Research Foundation of Yunnan Province, National Key Research and Development Program of China, Major Science and Technology Projects in Yunnan Province
Openalex Percentile: Top 13%
Environmental remediation with nanomaterials
2.02
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