Efficient Removal of Cr(VI) from Water by Carbon-Based Composites Derived from Oil-Based Drill Cuttings

Oil-based drill cuttings (OBDCs) have received extensive attention for their environmental impacts and safe disposal. In this study, a high-performance sorbent material was prepared via the chelation and carbonization reaction for the high-value resource utilization of OBDCs. The coordination interaction between the organic acids and metal ions acted as a carbon source. Then, the metal elements were encapsulated into the formed carbon matrix. The results showed that the obtained composites exhibited abundant honeycomb-like pore structures. The addition of citric acid facilitated the formation of graphitized carbon materials and increased the specific surface area and surface functional groups. Impressively, the composites exhibited excellent adsorption performance for Cr(VI), with a maximum adsorption capacity of 56.84 mg/g. The adsorption process followed the pseudo-second-order kinetic model, and was mainly dominated by chemical adsorption. The excellent adsorption properties were attributed to the unique properties of the prepared carbon-based composites, including their large surface area, numerous pore structures, and abundant surface functional groups. This study provides new ideas related to the resource utilization of hazardous organic waste.

Authors

Institutions

Publication Details

Journal
Materials
Published
2025-11-24
DOI
https://doi.org/10.3390/ma18235295
Primary Topic
Adsorption and biosorption for pollutant removal
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Efficient Removal of Cr(VI) from Water by Carbon-Based Composites Derived from Oil-Based Drill Cuttings

Yongkui Huang, Junwei Qiao, Qi Feng, Shubiao Pan et al.
Materials
Adsorption and biosorption for pollutant removal
article

Efficient Removal of Cr(VI) from Water by Carbon-Based Composites Derived from Oil-Based Drill Cuttings

Yongkui Huang, Junwei Qiao, Qi Feng, Shubiao Pan, Bo Bai, Y. H. Zhang, Yang Liu, Li Liu, Linzhi Li, Xiaochuan Wu
article en

Abstract

Oil-based drill cuttings (OBDCs) have received extensive attention for their environmental impacts and safe disposal. In this study, a high-performance sorbent material was prepared via the chelation and carbonization reaction for the high-value resource utilization of OBDCs. The coordination interaction between the organic acids and metal ions acted as a carbon source. Then, the metal elements were encapsulated into the formed carbon matrix. The results showed that the obtained composites exhibited abundant honeycomb-like pore structures. The addition of citric acid facilitated the formation of graphitized carbon materials and increased the specific surface area and surface functional groups. Impressively, the composites exhibited excellent adsorption performance for Cr(VI), with a maximum adsorption capacity of 56.84 mg/g. The adsorption process followed the pseudo-second-order kinetic model, and was mainly dominated by chemical adsorption. The excellent adsorption properties were attributed to the unique properties of the prepared carbon-based composites, including their large surface area, numerous pore structures, and abundant surface functional groups. This study provides new ideas related to the resource utilization of hazardous organic waste.

MaterialsVol. 18(23)
Chongqing University (CN), Chongqing Institute of Geology and Mineral Resources (CN)
Centre Scientifique et Technique du Bâtiment
Openalex Percentile: Top 67%
Adsorption and biosorption for pollutant removal
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.