Evidence map›Paper›PMID 42729765›Full record

ArticleACS omega2026

Physicochemical Characterization of Choline Amino Acid Protic Ionic Liquids as Sustainable Lubricant Candidates.

Davis Kipkania Kiboi, Brendan Mahoney, Esmond Lau, Erik C Dillon, Michael G Coleman, Filippo Mangolini, Patricia Iglesias

Abstract read
In one paragraph

Article in ACS omega, 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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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.

Davis Kipkania KiboiMechanical Engineering Department, Kate Gleason College of Engineering, Rochester Institute of Technology, 1 Lomb Memorial Dr, Rochester, New York 14623, United States.ORCID https://orcid.org/0009-0000-6383-0245
Brendan MahoneyMechanical Engineering Department, Kate Gleason College of Engineering, Rochester Institute of Technology, 1 Lomb Memorial Dr, Rochester, New York 14623, United States.
Esmond LauMechanical Engineering Department, Kate Gleason College of Engineering, Rochester Institute of Technology, 1 Lomb Memorial Dr, Rochester, New York 14623, United States.ORCID https://orcid.org/0009-0002-8922-0642
Erik C DillonDepartment of Chemistry and Biochemistry, SUNY Brockport, 350 New Campus Drive, Brockport, New York 14420, United States.
Michael G ColemanDepartment of Chemistry and Biochemistry, SUNY Brockport, 350 New Campus Drive, Brockport, New York 14420, United States.
Filippo MangoliniWalker Department of Mechanical Engineering, The University of Texas at Austin, 204 E. Dean Keeton, Stop C2200, Austin, Texas 78712, United States.ORCID https://orcid.org/0000-0003-3360-9122
Patricia IglesiasMechanical Engineering Department, Kate Gleason College of Engineering, Rochester Institute of Technology, 1 Lomb Memorial Dr, Rochester, New York 14623, United States.ORCID https://orcid.org/0000-0002-5276-4753

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Choline amino acid protic ionic liquids (PILs) have emerged as promising candidates for sustainable lubrication due to their tunable structures, low toxicity, and strong interfacial activity. In this study, a series of ten choline amino acid PILs, incorporating aliphatic, branched, multifunctional, and aromatic amino acid anions, were synthesized and systematically characterized to establish structure-property relationships relevant to lubrication applications. The physicochemical behavior of the PILs was investigated through viscosity measurements, ionic conductivity analyses, thermal characterization, wettability assessment, miscibility evaluation with polar and nonpolar base oils, and corrosion studies on copper surfaces. Their lubricating performance when used as boundary lubricants was assessed. The results reveal a strong dependence of bulk and interfacial properties on the anion structure. PILs containing compact aliphatic anions exhibited low viscosities and high ionic conductivities, reflecting weak intermolecular interactions and high ion mobility. In contrast, PILs with branched, aromatic, or multifunctional anions displayed higher viscosities and reduced conductivities because of enhanced hydrogen bonding, steric effects, and supramolecular structuring. Notably, the aspartic acid-containing PIL showed significantly elevated viscosity compared with other small-anion systems, highlighting the dominant influence of multiple carboxylic acid functionalities. Thermal analysis indicated generally high stability for moderate-temperature lubrication applications across the series, with aromatic and multifunctional systems exhibiting increased glass transition temperatures and decomposition resistance. Wettability and miscibility studies demonstrated that the interfacial behavior is governed by both side-chain chemistry and substrate or solvent polarity, with clear differences observed between steel and aluminum surfaces and between ester- and PAO-based oils. Corrosivity evaluations showed that PILs with small, highly mobile anions promote greater surface reactivity on copper, whereas bulkier or multifunctional anions provide improved surface stability through reduced ion mobility and steric shielding. Tribological evaluation through reciprocating sliding friction and wear tests revealed trends consistent with the observed structure-property relationships, supporting the relevance of the measured physicochemical properties to lubrication performance. This work establishes a comprehensive framework linking molecular structure to physicochemical and interfacial behavior in choline amino acid PILs. The findings provide insight into the design of environmentally compatible ionic liquids with tailored properties and potential for lubrication and related applications.

Identifiers

PMID42729765
PMCPMC13563609

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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.