Evidence map›Paper›PMID 41870642›Full record

ArticleBioprocess and biosystems engineering2026

Improvement of the production of biomass and lipid by Papiliotrema laurentii combining flux balance analysis and central composite rotational design.

Samuel Lessa Barbosa, Eduardo Luís Menezes de Almeida, Rafaela Zandonade Ventorim, Jimmy Soares, Wendel Batista da Silveira

Abstract read
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Article in Bioprocess and biosystems engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Samuel Lessa BarbosaLaboratory of Microbial Physiology, Department of Microbiology, Institute of Biotechnology Applied To Agriculture, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.
Eduardo Luís Menezes de AlmeidaLaboratory of Microbial Physiology, Department of Microbiology, Institute of Biotechnology Applied To Agriculture, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.
Rafaela Zandonade VentorimLaboratory of Microbial Physiology, Department of Microbiology, Institute of Biotechnology Applied To Agriculture, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.
Jimmy SoaresLaboratory of Microbial Physiology, Department of Microbiology, Institute of Biotechnology Applied To Agriculture, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.
Wendel Batista da SilveiraLaboratory of Microbial Physiology, Department of Microbiology, Institute of Biotechnology Applied To Agriculture, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil. wendel.silveira@ufv.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing demand for oleochemicals, currently derived from edible oils, raises sustainability concerns due to competition for agricultural resources. Oleaginous yeasts are an alternative oil source. Among them, Papiliotrema laurentii stands out due to rapid lipid accumulation and high lipid contents. Nonetheless, the biomass and lipid titers by this yeast are low in the culture media used for oleaginous yeasts. Herein, we combined Flux Balance Analysis (FBA) and Central Composite Rotational Design (CCRD) to identify carbon and nitrogen sources that favour both biomass and lipid production by P. laurentii. Based on biomass yield predicted by FBA, we identified lactose and urea as suitable carbon and nitrogen sources, respectively. We also used a CCRD to evaluate the effects of carbon-to-nitrogen (C:N) ratio, volumetric oxygen mass transfer coefficient (kLa), and inoculum on biomass and lipid production. Optimal conditions for biomass production were: initial OD600 of 0.8, a C:N ratio of 63:1, and a kLa of 28.41 h−1, yielding 10.82 g/L of biomass. For lipid titer, optimal conditions were: initial OD600 of 0.1, a C:N ratio of 100:1, and a kLa of 28.41 h−1, resulting in 3.48 g/L of lipids. Bioreactor cultivations showed that increasing kLa to 49.42 h−1 significantly enhanced both lipid content and titer. Under optimized conditions, increases of 691% in biomass and 815% lipid titer were recorded. Thus, this is the first study systematically optimizing cultivation conditions of P. laurentii combining FBA and CCRD.

Indexed as

BasidiomycotaBiomassLipidsBioreactorsCarbonNitrogenCarbonLipidsNitrogenBiomass optimizationBioreactor cultivationCentral Compound Rotational DesignCircular economySustainable oleochemicalsVolumetric oxygen mass transfer coefficient (k L a)

Identifiers

PMID41870642
PMCPMC13263264

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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.