Synthesizing palm kernel shell-based activated carbon for chloramphenicol removal via a single-step microwave heating

Abstract Chloramphenicol (CP) antibiotic in water can lead to environmental contamination and pose health risks to aquatic life and humans due to its antibiotic properties and potential to induce resistance. Thus, the objective of this research is to treat CP in water with the aid of activated carbon synthesized from palm kernel shell (PKSAC). The synthesis of PKSAC was performed via a single-step microwave heating technique. In equilibrium study, the adsorption uptakes of CP by PKSAC rose from 2.88 to 11.79 mg/g, when starting concentration of CP was elevated (5 to 30 mg/L). The best model describing the CP-PKSAC adsorption system was Langmuir model. The optimal coverage in monolayer mode, Q m was computed to 18.95 mg/g. For kinetic study, pseudo-second order (PSO) described the adsorption process studied the best. Boyd plot analysis confirmed that film diffusion was the rate-limiting mechanism in the CP adsorption by PKSAC. This indicates that the rate of adsorption is primarily governed by the resistance to mass transfer across the boundary layer surrounding the PKSAC particles. Identifying the slowest step in the adsorption process is crucial, as it allows for targeted optimizations to enhance the overall efficiency of the system.

Authors

Institutions

Publication Details

Journal
Journal of Physics Conference Series
Published
2025-04-01
DOI
https://doi.org/10.1088/1742-6596/3003/1/012034
Primary Topic
Adsorption and biosorption for pollutant removal
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Synthesizing palm kernel shell-based activated carbon for chloramphenicol removal via a single-step microwave heating

Norazwan Md Nor, Azam Taufik Mohd Din, Mohd Azmier Ahmad, Erniza Mohd Johan Jaya et al.
Journal of Physics Conference Series
Adsorption and biosorption for pollutant removal
article

Synthesizing palm kernel shell-based activated carbon for chloramphenicol removal via a single-step microwave heating

Norazwan Md Nor, Azam Taufik Mohd Din, Mohd Azmier Ahmad, Erniza Mohd Johan Jaya, Farihah Luqman
article en

Abstract

Abstract Chloramphenicol (CP) antibiotic in water can lead to environmental contamination and pose health risks to aquatic life and humans due to its antibiotic properties and potential to induce resistance. Thus, the objective of this research is to treat CP in water with the aid of activated carbon synthesized from palm kernel shell (PKSAC). The synthesis of PKSAC was performed via a single-step microwave heating technique. In equilibrium study, the adsorption uptakes of CP by PKSAC rose from 2.88 to 11.79 mg/g, when starting concentration of CP was elevated (5 to 30 mg/L). The best model describing the CP-PKSAC adsorption system was Langmuir model. The optimal coverage in monolayer mode, Q m was computed to 18.95 mg/g. For kinetic study, pseudo-second order (PSO) described the adsorption process studied the best. Boyd plot analysis confirmed that film diffusion was the rate-limiting mechanism in the CP adsorption by PKSAC. This indicates that the rate of adsorption is primarily governed by the resistance to mass transfer across the boundary layer surrounding the PKSAC particles. Identifying the slowest step in the adsorption process is crucial, as it allows for targeted optimizations to enhance the overall efficiency of the system.

Journal of Physics Conference SeriesVol. 3003(1)
Universiti Sains Malaysia (MY)
Openalex Percentile: Top 89%
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.