Evidence map›Paper›PMID 40542033›Full record

ArticleScientific reports2025

Enhanced phenol removal from wastewater via sulfuric acid activated eggshell derived carbon.

Heba A El-Gawad, Mostafa H Hussein, Hamdy A Zahran, Ghada Kadry

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Heba A El-GawadDepartment of Engineering Mathematics and Physics, Higher Institute of Engineering, El-Shorouk Academy, Cairo, Egypt.
Mostafa H HusseinChemical Engineering Department, Higher Institute of Engineering, El- Shorouk Academy, Cairo, Egypt.
Hamdy A ZahranFats and Oils Department, Food Industries and Nutrition Research Institute, National Research Centre, Dokki, Cairo, Egypt. ha.zahran@nrc.sci.eg.
Ghada KadryChemical Engineering Department, Higher Institute of Engineering, El- Shorouk Academy, Cairo, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research explores the development of an innovative activated carbon adsorbent (ACES) derived from waste eggshells through sulfuric acid activation to effectively remove phenol from simulated wastewater. Optimization of adsorption parameters was conducted using Design-Expert 13 software and response surface methodology (RSM). Under optimal conditions (initial phenol concentration of 25.015 mg/L, adsorbent dosage of 4.913 g/L, pH of 4.693, and temperature of 25.013 °C), ACES achieved an outstanding phenol removal efficiency of 99.87%. Characterization studies revealed a high BET surface area of 1034.775 m²/g and enhanced porosity, significantly contributing to adsorption performance. Mechanistic insights showed that electrostatic attraction, π-π interactions, and hydrogen bonding drove adsorption. The Langmuir model provided the best fit for phenol adsorption on ACES (R² = 0.9845), indicating monolayer adsorption on uniform sites. Kinetic analysis revealed that the adsorption followed pseudo-second-order kinetics, with a rate constant (k) of 0.0078 g·min⁻¹·mg⁻¹ and a high correlation coefficient (R² = 0.9886), pointing to chemisorption rather than physical adsorption. Thermodynamic analysis further confirmed that the process is spontaneous and exothermic, accompanied by increased randomness at the adsorbent-adsorbate interface. ACES exhibited good reusability, retaining 80% efficiency after four regeneration cycles. The findings of this research highlight a sustainable approach to utilizing waste eggshells for phenol removal, offering potential applications in wastewater treatment.

Indexed as

Activation processAdsorption mechanismsEggshell-derived activated carbonIsothermal adsorption studiesKinetic adsorption studiesPhenol adsorptionResponse surface methodology (RSM)

Identifiers

PMID40542033
PMCPMC12181332

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.