Evidence map›Paper›PMID 42828272›Full record

ArticleIndustrial & engineering chemistry research2026

Prediction of Phase Equilibria of Polycyclic Aromatic Hydrocarbons in Organic Solvents with the SAFT‑γ Mie Equation of State.

Thomas Bernet, Shubhani Paliwal, Benjamin I Tan, Andrew J Haslam, Claire S Adjiman, George Jackson, Amparo Galindo

Abstract read
In one paragraph

Article in Industrial & engineering chemistry research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

7 authors.

Thomas BernetDepartment of Chemical Engineering, Sargent Centre for Process Systems Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.ORCID https://orcid.org/0000-0002-4089-0218
Shubhani PaliwalDepartment of Chemical Engineering, Sargent Centre for Process Systems Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.
Benjamin I TanDepartment of Chemical Engineering, Sargent Centre for Process Systems Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.ORCID https://orcid.org/0000-0002-7812-4252
Andrew J HaslamDepartment of Chemical Engineering, Sargent Centre for Process Systems Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.ORCID https://orcid.org/0000-0002-8442-119X
Claire S AdjimanDepartment of Chemical Engineering, Sargent Centre for Process Systems Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.ORCID https://orcid.org/0000-0002-4573-7722
George JacksonDepartment of Chemical Engineering, Sargent Centre for Process Systems Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.ORCID https://orcid.org/0000-0002-8029-8868
Amparo GalindoDepartment of Chemical Engineering, Sargent Centre for Process Systems Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom.ORCID https://orcid.org/0000-0002-4902-4156

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polycyclic aromatic hydrocarbons (PAHs) constitute an essential family of compounds for the petroleum and material industries, but also a major cause of environmental pollution and health issues. Finding approaches to mitigate their impact requires a better understanding of their thermophysical properties, which presents a challenge because of their structural complexity and diversity. We use the SAFT-γ Mie group-contribution approach to calculate the properties of PAHs in various organic solvent families, including alkanes, alcohols, ketones, esters, and aromatic compounds. Following recent work [TanB. I., . Energy Fuels2025, 39, 2435-2470], where an aromatic carbon (aC) group was developed, we characterize 33 new group interactions of SAFT-γ Mie using data of PAHs and styrene derivatives. Excellent agreement is found between the calculations and experimental data, including for the solid-liquid equilibria of 193 binary mixtures. The new group interactions can also be used to model pharmaceuticals and agrochemicals.

Identifiers

PMID42828272
PMCPMC13632439

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.