Evidence map›Paper›PMID 42706576›Full record

ArticleBiotechnology for biofuels and bioproducts2026

Upcycling waste apples into platform chemicals: pilot-scale production of lactic and succinic acids.

Laís Portugal Rios da Costa Pereira, Roland Schneider, Agata Olszewska-Widdrat, Barbara Sturm, Korbinian Kaetzl

Abstract read
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In one paragraph

Article in Biotechnology for biofuels and bioproducts, 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.

Laís Portugal Rios da Costa PereiraSection of Grassland Science and Renewable Plant Resources, Faculty of Organic Agricultural Sciences, University of Kassel, Steinstrasse 19, 37213, Witzenhausen, Germany. lpereira@atb-potsdam.de.
Roland SchneiderDepartment of Microbiome Biotechnology, Leibniz Institute for Agricultural Engineering and Bioeconomy, Max-Eyth-Allee 100, 14469, Potsdam, Germany.
Agata Olszewska-WiddratDepartment of Microbiome Biotechnology, Leibniz Institute for Agricultural Engineering and Bioeconomy, Max-Eyth-Allee 100, 14469, Potsdam, Germany. aolszewska-widdrat@atb-potsdam.de.
Barbara SturmDepartment of Microbiome Biotechnology, Leibniz Institute for Agricultural Engineering and Bioeconomy, Max-Eyth-Allee 100, 14469, Potsdam, Germany.
Korbinian KaetzlSection of Grassland Science and Renewable Plant Resources, Faculty of Organic Agricultural Sciences, University of Kassel, Steinstrasse 19, 37213, Witzenhausen, Germany. korbinian.kaetzl@tu-dresden.de.

Funding

Bundesministerium für Forschung, Technologie und Raumfahrt 031B1389
6 · The paper itself

Abstract

The conversion of renewable biological resources into value-added products is essential for supporting the transition to a sustainable bioeconomy. This study explores the use of waste apples-a by-product generated in large quantities along the fresh apple supply chain-as feedstock for the production of two industrially relevant platform chemicals: lactic acid (LA) and succinic acid (SA). A screening identified Heyndrickxia coagulans A203 and Actinobacillus succinogenes DSM 22257 as the most suitable strains for LA and SA production from apple mash, the sugar-rich fraction obtained by pressing waste apples (excluding the solid peel and seed residues). A simplified procedure, omitting costly centrifugation and sterilization steps between enzymatic liquefaction and fermentation, was successfully scaled up, resulting in 73.8 g L

Indexed as

FermentationLactic acidPilot scaleSuccinic acidWaste to value

Identifiers

PMID42706576
PMCPMC13548481

What OpenQuestion holds

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Registered trials

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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.