Evidence map›Paper›PMID 41888556›Full record

ArticleScientific reports2026

Carbon sequestration potential of electrokinetically treated fine-grained expansive soils.

Abiola Ayopo Abiodun

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

1 author.

Abiola Ayopo AbiodunFaculty of Engineering and Architecture, Cyprus West University, North Cyprus via Mersin 10, Gazimağusa, 99450, Turkey. a.abiodun@cwu.edu.tr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the carbon sequestration potential of fine-grained expansive soils treated using electrokinetic (EK) stabilisation. It identifies the physicochemical conditions that promote gravimetrically inferred calcium carbonate [Formula: see text] precipitation, based on stoichiometric and gravimetric evidence, as a mechanism for laboratory-scale [Formula: see text] immobilization potential. EK tests were conducted using a five-factor face-centered central composite design with 48 experimental runs, and routine measurements of pH, salinity (Sal), total dissolved solids (TDS), electrical resistivity ([Formula: see text]), and electrical conductivity (σ) were recorded to quantify their relationship with gravimetrically inferred [Formula: see text] formation. A quadratic Response Surface Methodology (RSM) model incorporating linear, interaction, and quadratic terms was developed to predict [Formula: see text] sequestration potential. Experimental data from calcium chloride and sodium carbonate [Formula: see text] electrolytes applied to EK-treated soil blocks were analyzed with multivariate regression and ANOVA to identify governing parameters. The model demonstrated near-perfect statistical agreement within the validated experimental design space ([Formula: see text] = 1.000; adjusted [Formula: see text] = 1.000; predicted [Formula: see text] = 0.9997; p < 0.001). ANOVA confirmed the statistical significance of all model terms (p < 0.0001), with TDS, ρ, and σ as significant main effects. Interaction analysis further revealed significant contributions from Sal × σ, ρ × σ, pH × Sal, TDS × ρ, and Sal × TDS. An empirical calibration constant, [Formula: see text] = [Formula: see text]g [Formula: see text]g⁻

Indexed as

Calcium carbonate precipitationCarbonate mineralisationCO2 sequestration potentialElectrokinetic treatmentExpansive soilsResponse surface methodology

Identifiers

PMID41888556
PMCPMC13172466

What OpenQuestion holds

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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.