Evidence map›Paper›PMID 41559438›Full record

ArticleApplied microbiology and biotechnology2026

Production of uncommon carotenoids and lipids by red yeasts utilizing agri-food residues and waste cooking oil.

Silvia Donzella, Diego Romano, Francesco Molinari, Sebastián Bermúdez Puga, Ricardo Pinheiro de Souza Oliveira, Concetta Compagno

Abstract read
In one paragraph

Article in Applied microbiology and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Microbial conversion of biodiesel waste for carotenoid production.Frontiers in bioengineering and biotechnology · 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.

Silvia DonzellaDepartment of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, Via L. Mangiagalli 25, 20133, Milan, Italy. silvia.donzella@unimi.it.
Diego RomanoDepartment of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, Via L. Mangiagalli 25, 20133, Milan, Italy.
Francesco MolinariDepartment of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, Via L. Mangiagalli 25, 20133, Milan, Italy.
Sebastián Bermúdez PugaDepartment of Biochemical-Pharmaceutical Technology, Faculty of Pharmaceutical Sciences, University of São Paulo (USP), Avenida Professor Lineu Prestes, São Paulo, 580, Brazil.
Ricardo Pinheiro de Souza OliveiraDepartment of Biochemical-Pharmaceutical Technology, Faculty of Pharmaceutical Sciences, University of São Paulo (USP), Avenida Professor Lineu Prestes, São Paulo, 580, Brazil.
Concetta CompagnoDepartment of Food, Environmental and Nutritional Sciences (DeFENS), University of Milan, Via L. Mangiagalli 25, 20133, Milan, Italy.

Funding

National Recovery and Resilience Plan (NRRP), Mission 4 Component 2 Investment 1.3-Call for tender No. 341 of 15 March 2022 of Italian Ministry of University and Research funded by the European Union-Next-GenerationEU "ON Foods-Research and innovation network on food and nutrition Sustainability, Safety and Security-Working ON Foods", PE00000003Università degli Studi di Milano Piano di sostegno alla ricerca-2023-Linea 2,_Azione A
6 · The paper itself

Abstract

In recent years, the biotechnological production of carotenoids and lipids by yeasts emerges as a valuable strategy at the industrial level, also fitting the circular economy pillars when agri-food waste can be used as the main components of the culture media. In this study, bioprocesses employing red yeasts were developed using cost-effective agri-industrial residues, such as soy okara (a soybean industry byproduct). This low-cost substrate was investigated as a source of carbohydrates and essential nutrients, with its enzymatic pre-treatment optimized to create a balanced and efficient fermentation medium. The screening of a collection of red oleaginous yeasts identified Rhodotorula paludigena CBS 6565 and Rhodotorula diobovata CBS 324 as promising strains capable of efficiently producing both lipids and uncommon carotenoids. These two strains were cultivated in a lignocellulose hydrolysate-based medium supplemented with urea, validating the promising results of the screening. Urea, a cost-effective nitrogen source, was found to enhance carotenoid production compared to ammonium sulfate. Finally, soy okara was used as the fermentation medium for Rhodotorula paludigena CBS 6565. Soy okara underwent optimized enzymatic hydrolysis to maximize fermentable sugar release, while the addition of waste cooking oil and syrup from candied fruit processing significantly boosted carotenoid production, reaching 262.4 mg/L in 90 h. Among these, β-carotene and torularhodin contributed 140 mg/L and 72.5 mg/L, respectively. Furthermore, the yeast cells accumulated lipids, constituting 56% of their dry weight, with a final concentration of 18 g/L. Overall, this study underscores the synergy between agri-food waste valorization and the sustainable production of yeast biomass enriched in carotenoids and lipids, offering a versatile and high-value resource for various industrial applications. KEY POINTS: • β-carotene, torulene, and torularhodin levels are highly strain-dependent in yeasts • R. paludigena CBS 6565 achieved high carotenoid-lipid co-production yields • Fed-batch with multiple agri-food residues enabled a sustainable bioprocess design.

Indexed as

CarotenoidsLipidsPlant OilsRhodotorulaCulture MediaFermentationFood Loss and WasteCarotenoidsCulture MediaFood Loss and WasteLipidsPlant OilsCarotenoidsMicrobial oilRhodotorula paludigenaSustainable fermentationsWaste cooking oil

Identifiers

PMID41559438
PMCPMC12823764

What OpenQuestion holds

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LicenceCC BY
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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.