Evidence map›Paper›PMID 42820219›Full record

ArticleFrontiers in bioengineering and biotechnology2026

Fermentative valorisation of agri-food residues: optimisation of

Bruno Navajas-Preciado, Sara Martillanes, Jonathan Delgado-Adámez

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 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

3 authors.

Bruno Navajas-PreciadoCentro de Investigaciones Científicas y Tecnológicas de Extremadura (CICYTEX), Instituto Tecnológico Agroalimentario de Extremadura, Badajoz, Spain.
Sara MartillanesCentro de Investigaciones Científicas y Tecnológicas de Extremadura (CICYTEX), Incubadora de Alta Tecnología en Bioeconomía y Economía Circular, Mérida, Spain.
Jonathan Delgado-AdámezCentro de Investigaciones Científicas y Tecnológicas de Extremadura (CICYTEX), Instituto Tecnológico Agroalimentario de Extremadura, Badajoz, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Organic acid fermentation is a key route for integrating second-generation (2G) biomass into biorefineries and promoting industrial symbiosis between agri-food residues and platform-chemical production. However, plant matrices such as tomato pomace (TP) and spent coffee grounds (SCG) show limited carbon accessibility and contain phenolic and lipidic compounds that may inhibit bacterial growth. Methods: This study uses hydroalcoholically pretreated TP and develops an iterative strategy for organic acid production using Lactiplantibacillus paraplantarum as a biofactory, while evaluating selectivity towards lactate. Quantitative proton nuclear magnetic resonance was used to monitor lactic acid (LA) and acetic acid (AA) titres and apparent glucose-equivalent conversion (aGEC) into these acids. The aGEC is a comparative, non-stoichiometric index rather than a closed carbon yield, because it includes buffer-derived acetate. Results and Discussion: Response surface methodology identified 44.7% TP replacement, 79.6 h and an initial pH of 5.77 as the basal fermentation conditions (4.73 ± 0.26 gL-1 LA; aGEC ≈ 6%). Nitrogen-source optimisation and pH buffering increased LA to 7.68 ± 0.56 and 14.52 ± 0.76 gL-1 and aGEC to ≈ 10% and ≈ 26%, respectively. The final combined intensification treatment comprised cellulase pretreatment, a modified incubation atmosphere and CaCO

Indexed as

bioprocess optimisationcascade biorefineryheterolactic fermentationorganic acidsquantitative 1H NMRsecond-generation biomassspent coffee groundstomato pomace

Identifiers

PMID42820219
PMCPMC13626635

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.