Evidence map›Paper›PMID 41878642›Full record

ArticleRSC advances2026

Deep eutectic solvents as recyclable media for metal removal from crude oil.

Eminemi Mirinn, Andrew P Abbott, Alexander F R Kilpatrick

Abstract read
In one paragraph

Article in RSC advances, 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

3 authors.

Eminemi MirinnSchool of Chemistry, University of Leicester, University Road LE1 7RH Leicester UK sandy.kilpatrick@leicester.ac.uk.ORCID https://orcid.org/0009-0004-6578-5475
Andrew P AbbottSchool of Chemistry, University of Leicester, University Road LE1 7RH Leicester UK sandy.kilpatrick@leicester.ac.uk.ORCID https://orcid.org/0000-0001-9556-8341
Alexander F R KilpatrickSchool of Chemistry, University of Leicester, University Road LE1 7RH Leicester UK sandy.kilpatrick@leicester.ac.uk.ORCID https://orcid.org/0000-0002-2108-2709

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crude oil contains trace metal species that impair refinery performance, poison catalysts, and contribute to environmental contamination. Conventional metal-removal processes, such as hydrotreating and solvent extraction, are energy-intensive and costly. In this study, deep eutectic solvents (DESs) were evaluated as alternative media for extracting metal-containing complexes from crude oil. Model experiments using copper, iron, and nickel phthalocyanines dissolved in toluene showed that all complexes were transferred intact into the DES phase. Thermodynamic analysis revealed that extraction is exothermic and driven by protonation of the phthalocyanine ring within acidic DESs, leading to enhanced metal uptake at lower temperatures. Across the formulations tested, more acidic DES systems consistently delivered higher extraction efficiencies.The methodology was then applied to a Nigerian crude oil sample to assess performance under realistic conditions. Acidified DESs effectively extracted metalloporphyrins and other metal species while maintaining good phase separation. A simple filtration-based workflow enabled recovery and reuse of the DES phase with minimal energy input, demonstrating the potential for operationally straightforward and recyclable metal-removal processes. Overall, this work establishes acidified DESs as efficient, mechanistically understood, and potentially low-energy media for the extraction of metal species from crude oil, offering a promising basis for next-generation upgrading technologies.

Identifiers

PMID41878642
PMCPMC13007233

What OpenQuestion holds

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LicenceCC BY-NC
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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.