Evidence map›Paper›PMID 42177332›Full record

ArticleScientific reports2026

Tailoring activated carbon and carbon black adsorbents for efficient PAH removal.

Zainab A Alaithan, Mohammed A Alkhunaizi, Nadrah A Alawani, Ahmed K Alasseel, Joury M Aldhawyan, Emad N Al-Shafei

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Zainab A AlaithanResearch & Development Center, Fuels & Chemicals Division, Saudi Aramco, 31311, Dhahran, Saudi Arabia. zainab.aithan@aramco.com.
Mohammed A AlkhunaiziResearch & Development Center, Fuels & Chemicals Division, Saudi Aramco, 31311, Dhahran, Saudi Arabia. mohammed.alkhunaizi@aramco.com.
Nadrah A AlawaniDepartment Research Analytical Service, IRC, Saudi Aramco, 31311, Dhahran, Saudi Arabia.
Ahmed K AlasseelResearch & Development Center, Fuels & Chemicals Division, Saudi Aramco, 31311, Dhahran, Saudi Arabia.
Joury M AldhawyanResearch & Development Center, Fuels & Chemicals Division, Saudi Aramco, 31311, Dhahran, Saudi Arabia.
Emad N Al-ShafeiResearch & Development Center, Fuels & Chemicals Division, Saudi Aramco, 31311, Dhahran, Saudi Arabia. emad.alshafei@conscatsys.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polycyclic aromatic hydrocarbons (PAHs) in industrial effluents pose severe environmental and health risks due to their carcinogenicity, bioaccumulation potential, and resistance to conventional treatment. This study investigated the effects of nitric acid functionalization and metal ion-exchange on the structural properties and anthracene adsorption performance of activated carbon (AC) and carbon black (CB) as representative carbon-based adsorbents. Nitric acid treatment of CB enhanced mesopore development and introduced oxygen-containing functional groups, improving anthracene removal efficiency from 69 to 74% at a 200:1 feed-to-carbon ratio. Conversely, acid treatment of AC reduced removal efficiency from 60 to 50%, attributed to critical micropore volume effected as confirmed by Brunauer-Emmett-Teller (BET) surface area. Metal ion-exchange reduced adsorption performance in both materials, due to nanoparticle agglomeration and surface area while CB-Ni and CB-Zn retained moderate removal efficiencies of 62% and 66%, consistent with better metal dispersion. A strong linear correlation (R

Indexed as

Activated carbonCarbon acid treatmentCarbon blackMesoporousPolycyclic aromatic hydrocarbon (PAH)

Identifiers

PMID42177332
PMCPMC13421511

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LicenceCC BY-NC-ND
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Registered trials

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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.