Evidence map›Paper›PMID 42354912›Full record

ArticleMicroorganisms2026

Andrea Chiara Sansotera, Chiara Ceresa, Cesar Francisco Trejo, Alex Ferrandi, Gianna Allegrone, Silvio Aprile, Maurizio Rinaldi, Silvia Morel, Letizia Fracchia

Abstract read
In one paragraph

Article in Microorganisms, 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

9 authors.

Andrea Chiara SansoteraDepartment of Pharmaceutical Sciences, Università del Piemonte Orientale "A. Avogadro", 28100 Novara, Italy.ORCID 0009-0000-3681-3220
Chiara CeresaDepartment of Pharmaceutical Sciences, Università del Piemonte Orientale "A. Avogadro", 28100 Novara, Italy.ORCID 0000-0001-9599-544X
Cesar Francisco TrejoROELMI BIOTECH Srl, 21040 Origgio, Italy.
Alex FerrandiDepartment of Pharmaceutical Sciences, Università del Piemonte Orientale "A. Avogadro", 28100 Novara, Italy.ORCID 0009-0005-9111-9625
Gianna AllegroneDepartment of Pharmaceutical Sciences, Università del Piemonte Orientale "A. Avogadro", 28100 Novara, Italy.
Silvio AprileDepartment of Pharmaceutical Sciences, Università del Piemonte Orientale "A. Avogadro", 28100 Novara, Italy.ORCID 0000-0003-4804-9543
Maurizio RinaldiDepartment of Pharmaceutical Sciences, Università del Piemonte Orientale "A. Avogadro", 28100 Novara, Italy.ORCID 0000-0003-1346-1634
Silvia MorelDepartment of Pharmaceutical Sciences, Università del Piemonte Orientale "A. Avogadro", 28100 Novara, Italy.ORCID 0000-0003-2960-0176
Letizia FracchiaDepartment of Pharmaceutical Sciences, Università del Piemonte Orientale "A. Avogadro", 28100 Novara, Italy.ORCID 0000-0003-3505-1919

Funding

Regione Piemonte Grant POR-FESR Asse I AGROBIOCAT Project
6 · The paper itself

Abstract

Nowadays, approximately 50% of chemical surfactants come from petrochemical sources and pose environmental risks due to poor biodegradability, affecting microbial communities, aquatic organisms, and terrestrial ecosystems. Biosurfactants are eco-friendly alternatives, thanks to their strong surface tension-reducing activity, stability, low toxicity, and biodegradability, but their large-scale production is still limited by high costs and low yields. In this study, rice husk was evaluated as a renewable substrate from the agro-industrial field for lipopeptide production by the endophytic

Indexed as

agro-wastesBacillus subtilisbiosurfactantfermentationlipopeptidePlackett–Burman experimental designrice husksurfactinsustainable production

Identifiers

PMID42354912
PMCPMC13304071

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.