Evidence map›Paper›PMID 40732064›Full record

ArticleMicroorganisms2025

Maximizing Biomass Production and Carotenoid-like Pigments Yield in

Daniela Jakeline López-Mora, Andrea Goreti Flores-Dávalos, Miguel Angel Lorenzo-Santiago, Beatriz Genoveva Guardado-Fierros, Jacobo Rodriguez-Campos, Silvia Maribel Contreras-Ramos

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microorganisms, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Valorization ofBiotech (Basel (Switzerland)) · 2026
    Article
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.

Daniela Jakeline López-MoraUnidad de Tecnología Ambiental, Centro de Investigación y Asistencia en Tecnología y Diseño del Estado de Jalisco A.C. (CIATEJ), Normalistas No. 800, Colinas de la Normal, Guadalajara C.P. 44270, Jalisco, Mexico.
Andrea Goreti Flores-DávalosUnidad de Tecnología Ambiental, Centro de Investigación y Asistencia en Tecnología y Diseño del Estado de Jalisco A.C. (CIATEJ), Normalistas No. 800, Colinas de la Normal, Guadalajara C.P. 44270, Jalisco, Mexico.ORCID 0009-0004-1323-1585
Miguel Angel Lorenzo-SantiagoUnidad de Tecnología Ambiental, Centro de Investigación y Asistencia en Tecnología y Diseño del Estado de Jalisco A.C. (CIATEJ), Normalistas No. 800, Colinas de la Normal, Guadalajara C.P. 44270, Jalisco, Mexico.ORCID 0000-0002-3004-5758
Beatriz Genoveva Guardado-FierrosUnidad de Tecnología Ambiental, Centro de Investigación y Asistencia en Tecnología y Diseño del Estado de Jalisco A.C. (CIATEJ), Normalistas No. 800, Colinas de la Normal, Guadalajara C.P. 44270, Jalisco, Mexico.ORCID 0000-0002-6172-3523
Jacobo Rodriguez-CamposUnidad de Servicios Analíticos y Metrológicos, Centro de Investigación y Asistencia en Tecnología y Diseño del Estado de Jalisco A.C. (CIATEJ), Guadalajara C.P. 44270, Jalisco, Mexico.ORCID 0000-0002-6015-7881
Silvia Maribel Contreras-RamosUnidad de Tecnología Ambiental, Centro de Investigación y Asistencia en Tecnología y Diseño del Estado de Jalisco A.C. (CIATEJ), Normalistas No. 800, Colinas de la Normal, Guadalajara C.P. 44270, Jalisco, Mexico.ORCID 0000-0002-3774-0833

Funding

Consejo Estatal de Ciencia y Tecnología de Jalisco 10605-2023
6 · The paper itself

Abstract

The global chemical pigment industry faces environmental challenges despite its economic importance. This study investigates the potential of

Indexed as

bacterial biomasscarotenoidsKocuria sediminissecondary metabolitesTaguchi design

Identifiers

PMID40732064
PMCPMC12299518

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.