Evidence map›Paper›PMID 41904971›Full record

ArticleChemSusChem2026

Synthetic Sweeteners as Novel CEI-Stabilizing Electrolyte Additives for Li-Ion Batteries.

Natalia Izdebska, Piotr Dąbrowski, Maciej Smoliński, Marcin Poterała, Maciej Marczewski, Władysław Wieczorek

Abstract read
In one paragraph

Article in ChemSusChem, 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
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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

6 authors.

Natalia IzdebskaFaculty of Chemistry, Warsaw University of Technology, Warsaw, Poland.ORCID https://orcid.org/0009-0001-7553-722X
Piotr DąbrowskiCIC Energigune, Miñano, Vitoria- Gasteiz, Spain.
Maciej SmolińskiFaculty of Chemistry, Warsaw University of Technology, Warsaw, Poland.
Marcin PoterałaFaculty of Chemistry, Warsaw University of Technology, Warsaw, Poland.
Maciej MarczewskiFaculty of Chemistry, Warsaw University of Technology, Warsaw, Poland.
Władysław WieczorekFaculty of Chemistry, Warsaw University of Technology, Warsaw, Poland.ORCID https://orcid.org/0000-0002-3881-3838

Funding

Warsaw University of Technology
6 · The paper itself

Abstract

One of the key challenges in the development of next-generation lithium-ion batteries is designing cost-effective electrolyte additives that can simultaneously stabilize electrode/electrolyteinterfaces and sustain high-rate cycling. This work explores the use of food-grade synthetic sweeteners and their lithium salts-lithium acesulfame (AceLi) and lithium saccharinate (SachLi)-as functional electrolyte additives for LCO cathodes. Synthetic sweeteners are mass-produced for the food industry, which makes them inexpensive, readily available at high purity, and structurally attractive due to the presence of sulfonyl, carbonyl, and aromatic groups that can participate in interfacial reactions. LCO half-cells were cycled with carbonate-based electrolytes containing different concentrations of AceLi and SachLi, and their performance was evaluated by galvanostatic cycling at variable C-rates, long cycling under a stable C-rate, and electrochemical impedance spectroscopy (EIS). Rate capability tests show that low to moderate concentrations of AceLi and SachLi markedly improve discharge capacity retention at high C rates compared to the additive-free electrolyte, with the optimum effect observed near 0.2 wt.% additive. XPS analysis of the cathode-electrolyte interphase (CEI) confirms additive-specific decomposition products, including high-oxidation-state sulfur (e.g., ca. 170 eV S 2p peak for Li

Indexed as

electrochemistryinterfaceslithiumorganic sulfur compoundssweetener‐based additives

Identifiers

PMID41904971
PMCPMC13449629

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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.