Evidence map›Paper›PMID 40603439›Full record

ArticleScientific reports2025

Improving the heterotrophic media of three Chlorella vulgaris mutants toward optimal color, biomass and protein productivity.

Mafalda Trovão, Miguel Cunha, Gonçalo Espírito Santo, Humberto Pedroso, Ana Reis, Ana Barros, Nádia Correia, Lisa Schüler, Monya Costa, Sara Ferreira and 6 more

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In one paragraph

Article in Scientific reports, 2025. 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

16 authors.

Mafalda Trovão *R&D Department, Allmicroalgae Natural Products S.A, Pataias, 2445-413, Portugal.
Miguel Cunha *Department of Chemistry, NOVA School of Science and Technology, LAQV-REQUIMTE, NOVA University Lisbon, Campus de Caparica, Ed. Departamental, Piso 5, Caparica, 2829-516, Portugal.
Gonçalo Espírito SantoR&D Department, Allmicroalgae Natural Products S.A, Pataias, 2445-413, Portugal.
Humberto PedrosoR&D Department, Allmicroalgae Natural Products S.A, Pataias, 2445-413, Portugal.
Ana ReisR&D Department, Allmicroalgae Natural Products S.A, Pataias, 2445-413, Portugal.
Ana BarrosR&D Department, Allmicroalgae Natural Products S.A, Pataias, 2445-413, Portugal.
Nádia CorreiaR&D Department, Allmicroalgae Natural Products S.A, Pataias, 2445-413, Portugal.
Lisa SchülerGreenCoLab - Associação Oceano Verde, University of Algarve, Faro, 8005-139, Portugal.
Monya CostaGreenCoLab - Associação Oceano Verde, University of Algarve, Faro, 8005-139, Portugal.
Sara FerreiraGreenCoLab - Associação Oceano Verde, University of Algarve, Faro, 8005-139, Portugal.
Helena CardosoR&D Department, Allmicroalgae Natural Products S.A, Pataias, 2445-413, Portugal.
Márcia VenturaDepartment of Chemistry, NOVA School of Science and Technology, LAQV-REQUIMTE, NOVA University Lisbon, Campus de Caparica, Ed. Departamental, Piso 5, Caparica, 2829-516, Portugal.
João VarelaGreenCoLab - Associação Oceano Verde, University of Algarve, Faro, 8005-139, Portugal.
Joana SilvaGreenCoLab - Associação Oceano Verde, University of Algarve, Faro, 8005-139, Portugal.
Filomena FreitasAssociate Laboratory i4HB - Institute for Health and Bioeconomy, School of Science and Technology, NOVA University Lisbon, Campus de Caparica, Caparica, 2829-516, Portugal.
Hugo PereiraGreenCoLab - Associação Oceano Verde, University of Algarve, Faro, 8005-139, Portugal. hugopereira@greencolab.com.

Funding

CRESC Algarve and European Regional Development Fund ALG-01-0247-FEDER-069961Fundação para a Ciência e a Tecnologia 2020.06814.BDFundação para a Ciência e a Tecnologia 2020.07229.BDFundação para a Ciência e a Tecnologia UIDB/04326/2020Fundação para a Ciência e a Tecnologia UIDP/04378/2020
6 · The paper itself

Abstract

The high production costs and unappealing sensory properties still limit the widespread commercialization of microalgae feedstocks. Therefore, this work focused on fine-tuning the heterotrophic medium composition to cultivate novel green, yellow, and white Chlorella vulgaris mutant strains. Screening assays were carried out to select the most significant factors, and different nutrient concentrations were optimized by modelling biomass and protein productivity, specific growth rate, and color, via response surface methodology. The biomass and protein productivities achieved by these strains were improved by up to 70% and 94%, respectively. Additionally, biomass color was correlated with medium composition for the first time, allowing the improvement of the yellow and white mutant colorations by 20%. Overall, the findings of this study are vital to overcoming the challenges of the biobased industry, allowing the enhancement of the cost-effectiveness, attractiveness, and nutritional profiles of microalgae-based products in different markets and applications.

Indexed as

BiomassChlorella vulgarisCulture MediaMutationColorHeterotrophic ProcessesMicroalgaeCulture MediaBiomass and protein productivityBiomass colorCulture medium optimizationMicroalgaeRandom mutagenesisSurface response methodology

Identifiers

PMID40603439
PMCPMC12222848

What Socratic holds

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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 Socratic graph.