Evidence map›Paper›PMID 42495402›Full record

ArticleACS omega2026

Characterization of Industrial Lithium Iron Phosphate-Based Battery Waste.

Jere Vänskä, Tiia-Maria Porkola, Lassi Klemettinen, Jere Partinen, Mari Lundström

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.

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

5 authors.

Jere VänskäAalto University, School of Chemical Engineering, Department of Chemical and Metallurgical Engineering, Aalto 00076, Finland.ORCID https://orcid.org/0009-0004-9922-9020
Tiia-Maria PorkolaAalto University, School of Chemical Engineering, Department of Chemical and Metallurgical Engineering, Aalto 00076, Finland.ORCID https://orcid.org/0009-0007-6655-6035
Lassi KlemettinenAalto University, School of Chemical Engineering, Department of Chemical and Metallurgical Engineering, Aalto 00076, Finland.
Jere PartinenAalto University, School of Chemical Engineering, Department of Chemical and Metallurgical Engineering, Aalto 00076, Finland.
Mari LundströmAalto University, School of Chemical Engineering, Department of Chemical and Metallurgical Engineering, Aalto 00076, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, lithium iron phosphate (LFP) battery chemistries, both with and without manganese doping, have become increasingly common in battery applications. As the use of this battery chemistry expands, the number of end-of-life batteries will increase, highlighting the need for efficient recycling methods and knowledge of black mass characteristics. Thus, a comprehensive characterization of industrial lithium iron phosphate-based black mass was conducted. In this study, Li (3 wt %), Fe (12 wt %), P (6 wt %), and Mn (8 wt %) were detected in the black mass. Significant amounts (>1 wt %) of Co and Ni were also found, along with several doping agents (1600 ppm Ti, 1500 ppm V, and 690 ppm Si) and impurities (1400 ppm S). The size fraction with the highest mass after sieving (45 wt %) was 125-224 μm. However, characterization results showed that the particles were mainly agglomerated, and the actual dominant particle size is smaller than 125-224 μm. In smaller sieving size fractions (<125 μm), the carbon had a more graphitic structure, whereas in larger size fractions, the carbon had a lower graphitization degree and more defects, suggesting the presence of polymers. The results suggest high heterogeneity in the industrially provided black mass, highlighting the importance of developing a flexible process for future LFP-based battery recycling facilities.

Identifiers

PMID42495402
PMCPMC13392884

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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.