Efficiency of carbamazepine removal using adsorbent materials obtained from coffee processing waste

Currently, pharmaceutical emerging contaminants (PECs) have raised significant concern within the scientific community due to their potential impact on aquatic ecosystems. Among these, Carbamazepine (CBZ) stands out as a contaminant of environmental concern due to its recalcitrant and persistent nature, resisting natural degradation processes. Various technologies have been tested for its removal, highlighting coffee husk as a promising alternative for environmental remediation through the production of adsorbent materials. This study focused on evaluating the removal efficiency of Carbamazepine using adsorbent materials (AMs) derived from coffee processing residues. Twenty AMs were synthesized through physical and chemical treatments (under basic and acidic conditions) at different temperatures (600°C and 900°C). Adsorption profiles were conducted to assess the capacity of the AMs to remove CBZ and their overall efficiency. The most efficient AM was physicochemically characterized to analyze its removal mechanisms. Results demonstrated that adsorbent materials prepared under basic conditions exhibited adsorption capacities exceeding 90 mg·g?¹. Furthermore, characterization revealed the presence of surface porosity, which may enhance the removal efficiency of PECs.

Authors

Institutions

Publication Details

Journal
I+ T+ C- Research Technology and Science
Published
2024-11-27
DOI
https://doi.org/10.57173/ritc.v1n18a3
Primary Topic
Extraction and Separation Processes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Efficiency of carbamazepine removal using adsorbent materials obtained from coffee processing waste

Edwin Fernando Sierra Gaviria, Nasly Delgado, César Fernández Morantes, Cristian Miranda
I+ T+ C- Research Technology and Science
Extraction and Separation Processes
article

Efficiency of carbamazepine removal using adsorbent materials obtained from coffee processing waste

Edwin Fernando Sierra Gaviria, Nasly Delgado, César Fernández Morantes, Cristian Miranda
article en

Abstract

Currently, pharmaceutical emerging contaminants (PECs) have raised significant concern within the scientific community due to their potential impact on aquatic ecosystems. Among these, Carbamazepine (CBZ) stands out as a contaminant of environmental concern due to its recalcitrant and persistent nature, resisting natural degradation processes. Various technologies have been tested for its removal, highlighting coffee husk as a promising alternative for environmental remediation through the production of adsorbent materials. This study focused on evaluating the removal efficiency of Carbamazepine using adsorbent materials (AMs) derived from coffee processing residues. Twenty AMs were synthesized through physical and chemical treatments (under basic and acidic conditions) at different temperatures (600°C and 900°C). Adsorption profiles were conducted to assess the capacity of the AMs to remove CBZ and their overall efficiency. The most efficient AM was physicochemically characterized to analyze its removal mechanisms. Results demonstrated that adsorbent materials prepared under basic conditions exhibited adsorption capacities exceeding 90 mg·g?¹. Furthermore, characterization revealed the presence of surface porosity, which may enhance the removal efficiency of PECs.

I+ T+ C- Research Technology and ScienceVol. 1(18)
University of Cauca (CO), Corporación Universitaria Autónoma del Cauca (CO)
Openalex Percentile: Top 70%
Extraction and Separation Processes
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.