Evidence map›Paper›PMID 39537951›Full record

ArticleAMB Express2024

Isolation and assessment of highly sucrose-tolerant yeast strains for honey processing factory's effluent treatment.

Juan G Sánchez Novoa, Facundo G Domínguez, Hipólito Pajot, Laura I de Cabo, Juana María Navarro Llorens, Patricia L Marconi

Abstract read
In one paragraph

Article in AMB Express, 2024. 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

6 authors.

Juan G Sánchez NovoaCONICET, CEBBAD-Univ. Maimónides, Hidalgo 775, Buenos Aires, Argentina. juangabrielsancheznovoa@gmail.com.
Facundo G DomínguezPROIMI - CCT - Tucumán Avenida Belgrano y Pasaje Caseros San Miguel de Tucumán, CP 4000, Tucumán, Argentina.
Hipólito PajotPROIMI - CCT - Tucumán Avenida Belgrano y Pasaje Caseros San Miguel de Tucumán, CP 4000, Tucumán, Argentina.
Laura I de CaboMACN B. Rivadavia-CONICET, Buenos Aires, Argentina.
Juana María Navarro LlorensMetabolic Engineering Group, Department of Biochemistry and Molecular Biology, Universidad Complutense de Madrid, Madrid, Spain.
Patricia L MarconiCONICET, CEBBAD-Univ. Maimónides, Hidalgo 775, Buenos Aires, Argentina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater from many food and beverage manufacturers is enriched in organic content, and it must therefore be treated before being discharged to comply with the strict environmental regulations to protect the final water quality. Concretely, the honey processing wastewater, that remains in holding tanks until is disposal, is a rich source of sugars and this high level of organic material will degrade the water quality if not treated properly provoking an imbalance in the ecosystem. There are different strategies for an adequate treatment of this wastewater effluent to obtain a sustainable usage. One of the techniques that is more cost-effective and environmental friendlier than chemical procedures used for water remediation, is the use of microorganisms (including algae, fungi, yeasts, or bacteria). Given that they are fast-growing, robust, and metabolically diverse, yeast strains are often used for wastewater treatment. In this work, we have studied the potential for bioremediation of non Saccharomyces yeast isolated from a honey processing wastewater generated by an Argentine exporting company. The inoculation of these yeast strains to the existing flora in the honey wastewater yielded a better improvement in the treatment yield. These results suggest that these strains display a promising role could for optimizing bioremediation strategies in industrial wastewater treatment processes.

Indexed as

BioremediationHoney effluentSucrose-toleranceSustainable processWastewater treatmentYeast

Identifiers

PMID39537951
PMCPMC11561205

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.