Statistical approach to evaluate effect of temperature and moisture content on the production of antioxidant naphtho-gamma-pyrones and hydroxycinnamic acids by Aspergillus tubingensis in solid-state fermentation
Open accessAbstract
Non-ochratoxigenic Aspergillus tubingensis G131 is a filamentous fungus that can produce naphtho-gamma-pyrones (NγPs), polyketide pigments that exhibit interesting antioxidant properties. This study aims to investigate the effect of two critical parameters, temperature and moisture content on the fungus grown in solid-state fermentation using agricultural by-products (vine shoots and wheat bran) as sole medium. From the kinetic productions of secondary metabolites NγPs (asperpyrone E, dianhydroaurasperone C, fonsecin, fonsecin B and ustilaginoidin A), alkaloids (nigragilin and aspernigrin A), degradation products from the solid medium (β-D-glucose, p-coumaric acid and trans-ethyl ferulate), ergosterol and conidia obtained for different temperatures and moisture contents, a principal component analysis (PCA) was carried out to highlight the production patterns of these compounds. This approach allowed us to determine that fonsecin, the compound of higher interest-exhibiting the most interesting antiradical potential-is particularly more produced at 25 °C and 66% of moisture content. This study underlines the importance of temperature and moisture content on naphtho-gamma-pyrones and hydroxycinnamic acid production using solid-state fermentation and contributes to the development of agroindustrial by-product valorization.
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Temperature can affect the fluidity of the plasma membrane, the activity of enzymes, and the production of secondary metabolites during fermentation.
“In addition, temperature can affect the fluidity of the plasma membrane, the activity of enzymes, and the production of secondary metabolites during fermentation [29,32].”
From Optimization of Fermentation Conditions for 2,3,5-Trimethylpyrazine Produced by Bacillus amyloliquefaciens from Daqu (2024) · cites this paper as [29]
The Results and discussion section reports that temperature changes secondary-metabolite production and suggests a temperature optimum for fungal esterases; it also reports a temperature optimum for enzyme activity in another strain. Neither it nor the Introduction addresses plasma-membrane fluidity, so that part of the claim is unsupported. (LLM, conf=0.86)
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- Authors
- Carboué, Q., Rébufa, C., Hamrouni, R., Roussos, S., & Bombarda, I.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Corresponding author
- Carboué, Quentin
- Bombarda, Isabelle
- Venue
- Bioprocess and Biosystems Engineering
- Published
- 2020-09-03
- Volume
- 43
- Issue
- 12
- Pages
- 2283-2294
- ISSN
- 1615-7591 (ISSN-L)
- 1615-7605
- OpenAlex
- W3083747476
- Cited by
- 35
- References
- 43
- Citations by year
- 2026: 7 · 2025: 10 · 2024: 8 · 2023: 3 · 2022: 5 · 2021: 1 · 2020: 1
- FWCI
- 1.29
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Bioprocess and Biosystems Engineering (publishedVersion, other-oa)
- PubMed (publishedVersion)
- HAL (submittedVersion, other-oa)
- Funders
- Association Nationale de la Recherche et de la Technologie
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biotechnology › Microbial Metabolism and Applications
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Mycotoxins in Agriculture and Food
- Health Sciences › Medicine › Pharmacology › Microbial Natural Products and Biosynthesis
- Keywords
- Aspergillus tubingensis, hydroxycinnamic acids, solid-state fermentation, temperature effects, moisture content, fungal secondary metabolites, antioxidant pigments, agricultural by-product valorization, vine shoots, wheat bran, principal component analysis, free radical scavenging
- MeSH terms
- Antioxidants, Aspergillus, Chromatography, High Pressure Liquid, Coumaric Acids, Dihydropyridines, Ergosterol, Fermentation, Heterocyclic Compounds, 3-Ring, Kinetics, Naphthols, Plants, Pyrones, Temperature, Models, Statistical, Principal Component Analysis
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