Evidence map›Paper›PMID 40262704›Full record

ArticleBioresource technology2025

Electrochemical activation of alum sludge for the adsorption of lead (Pb(II)) and arsenic (As): Mechanistic insights and machine learning (ML) analysis.

Hye-Bin Kim, Muhammad Fahad Ehsan, Akram N Alshawabkeh, Jong-Gook Kim

Abstract read
In one paragraph

Article in Bioresource technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Hye-Bin KimSmart Livestock Environment Division, National Institute of Animal Science (NIAlS), Wanju 55365, Republic of Korea. Electronic address: hyebin0526@korea.kr.
Muhammad Fahad EhsanDepartment of Civil and Environmental Engineering, Northeastern University, Boston 02115 MA, USA. Electronic address: m.ehsan@northeastern.edu.
Akram N AlshawabkehDepartment of Civil and Environmental Engineering, Northeastern University, Boston 02115 MA, USA. Electronic address: a.alshawabkeh@northeastern.edu.
Jong-Gook KimCarbon Composite Materials Research Center, Korea Institute of Science and Technology (KIST), 92 Chudong-ro, Bongdong-eup, Wanju-gun, Jeollabuk-do 55324, Republic of Korea. Electronic address: kjg0012@kist.re.kr.

Funding

Research Experiences and Training Coordination CoreP42ES017198 · NIEHS · NORTHEASTERN UNIVERSITY · PI ALSHAWABKEH, AKRAM N · 2010 to 2024
$38.6M
NIEHS NIH HHS P42 ES017198
6 · The paper itself

Abstract

Alum sludge (AlS) has emerged as an effective adsorbent for anionic contaminants, with traditional activation methods like acid/base treatments and calcination employed to enhance its adsorption capacity. However, these approaches encounter significant drawbacks, including excessive waste generation, structural degradation, and limited efficacy for cationic contaminants. To overcome these challenges, this study proposes electrochemical activation as a sustainable method to enhance alum sludge adsorption performance by generating oxygen-containing functional groups (O-FGs) on its surface. In particular, cathodic activated AlS (E-AlS) leads to the formation of hydroxyl (-OH) and carboxyl (-COOH) groups, which served as key active sites for Pb(II) adsorption through complexation mechanisms. E-AlS effectively removed both Pb(II) and As within 4 h, showcasing its dual functionality for cationic and anionic contaminants. While HCl- and KOH-activated AlS also achieved 100 % Pb(II) removal, they caused substantial aluminum (Al) leaching, exceeding 1,000 mg/L, due to structural instability. In contrast, E-AlS minimized Al leaching, preserved structural integrity, and exhibited a 6.5-fold higher Pb(II) adsorption capacity than raw AlS. X-ray photoelectron spectroscopy (XPS) and machine learning (ML) validated the enhanced adsorption performance of E-AlS. These findings highlight electrochemical activation as a cost-effective and environmentally friendly remediation.

Indexed as

Alum CompoundsArsenicElectrochemical TechniquesLeadMachine LearningSewageWater Pollutants, ChemicalAdsorptionWater PurificationAlum Compoundsaluminum sulfateArsenicLeadSewageWater Pollutants, ChemicalAdsorptionAlum sludgeElectrochemical activationFunctional groupLeadMachine learning

Identifiers

PMID40262704
PMCPMC12951212

What OpenQuestion holds

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Registered trials

None linked

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.