Evidence map›Paper›PMID 40189902›Full record

ArticleJournal of the American Chemical Society2025

Impact of Noncompensating Ions on the Electrochemical Performance of n-Type Polymeric Mixed Conductors.

David Ohayon, Amer Hamidi-Sakr, Jokubas Surgailis, Shofarul Wustoni, Busra Dereli, Nimer Wehbe, Stefan Nastase, Xingxing Chen, Iain McCulloch, Luigi Cavallo and 1 more

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Structure-Driven Ion Transport in Conjugated Polymers with Crown Ether Side Chains: From the Nano- to Microscale.Chemistry of materials : a publication of the American Chemical Society · 2026
    Article
  2. Article
  3. 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

11 authors.

David OhayonOrganic Bioelectronics Laboratory, Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia.
Amer Hamidi-SakrOrganic Bioelectronics Laboratory, Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia.
Jokubas SurgailisOrganic Bioelectronics Laboratory, Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia.
Shofarul WustoniOrganic Bioelectronics Laboratory, Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia.ORCID 0000-0002-3059-4503
Busra DereliCatalysis Research Center, Physical Sciences and Engineering Division, KAUST, Thuwal 23955-6900, Saudi Arabia.
Nimer WehbeImaging and Characterization Core Lab, King Abdullah University of Science and Technology (KAUST), Thuwal 23955, Saudi Arabia.
Stefan NastaseCatalysis Research Center, Physical Sciences and Engineering Division, KAUST, Thuwal 23955-6900, Saudi Arabia.
Xingxing ChenKAUST Solar Center, Physical Sciences and Engineering Division, KAUST, Thuwal 23955-6900, Saudi Arabia.
Iain McCullochKAUST Solar Center, Physical Sciences and Engineering Division, KAUST, Thuwal 23955-6900, Saudi Arabia.ORCID 0000-0002-6340-7217
Luigi CavalloCatalysis Research Center, Physical Sciences and Engineering Division, KAUST, Thuwal 23955-6900, Saudi Arabia.ORCID 0000-0002-1398-338X
Sahika InalOrganic Bioelectronics Laboratory, Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia.ORCID 0000-0002-1166-1512

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organic mixed ionic-electronic conductors (OMIECs) have emerged as essential materials for applications in bioelectronics, neuromorphics, and energy storage, owing to their ability to transport both ions and electrons. While significant progress has been made in understanding their operation, the role of noncompensating ions in polymer redox processes remains underexplored, particularly in the context of their impact on charge compensation and device performance. In this study, we systematically investigate the influence of noncompensating ions on the performance of n-type OMIECs with and without polar side chains, focusing on their interactions with electrolytes containing anions from the Hofmeister series. Our findings reveal a stark contrast in charging behavior and organic electrochemical transistor (OECT) performance based on side-chain chemistry. Polar oligoether side chains promote interactions with anions, resulting in significant performance variations. We demonstrate the critical role of polymer side-chain interactions with the different anions, where polyatomic anions capable of infiltrating the film degrade device performance, particularly in terms of transconductance and operational stability. In contrast, OMIECs without side chains exhibit performance independent of the noncompensating ion nature. Through electrochemical analysis, spectroscopic techniques, and molecular dynamics simulations, we provide a comprehensive understanding of how ion incorporation and polymer-electrolyte interactions shape device behavior. This study highlights the transformative role of side-chain functionality in tailoring the properties of the OMIEC and offers a design framework for high-performance OECTs, enabling advancements in biosensing, neuromorphic computing, and beyond.

Identifiers

PMID40189902
PMCPMC12006988

What OpenQuestion holds

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LicenceCC BY
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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.