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Al-mimar, Noor Al-sabah Hassan and Lahmood, Walaa Yas (2026) APPLICATION OF GC–MS TECHNIQUE FOR THE DETECTION OF SECONDARY METABOLITES OF PENICILLIUM CITRINUM. Journal of Medical Genetics and Clinical Biology, 3 (5). pp. 110-120. ISSN 3032-1085

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Abstract

Objective: The effect of culture conditions on the production of secondary metabolites by Penicillium citrinum was studied via Gas Chromatography-Mass Spectrometry (GC-MS). The culture filtrate of the fungus was obtained from two different media, Potato Dextrose Broth (PDB) and Yeast Extract, grown at two temperatures (25°C and 28°C), to assess the effect of culture conditions on the production of metabolites. Methods: The culture filtrate of the fungus was obtained from two different media, Potato Dextrose Broth (PDB) and Yeast Extract, grown at two temperatures (25°C and 28°C), to assess the effect of culture conditions on the production of metabolites. Results: The GC–MS results showed differences in the qualitative and quantitative composition of metabolites produced under various conditions. Cultivation in PDB at 28°C led to a wide variety of compounds, with prominent metabolites being derivatives of 1,2-benzenedicarboxylic acid and dimethyl phthalate. However, growth at 25°C resulted in the dominance of a smaller number of compounds, such as cyclohexasiloxane derivatives. Cultivation in yeast extract medium at 25°C improved the metabolic diversity, while higher temperatures (28°C) decreased diversity but increased the amount of dominant metabolites. Novelty: These findings suggest that P. citrinum's metabolic pathways are significantly affected by external conditions like temperature and nutritional conditions. Our results align with the OSMAC (One Strain - Many Compounds) principle, which shows that a single fungus can yield many different metabolites under different conditions. The detection of phenolic and phthalate compounds indicates potential antimicrobial activity, suggesting P. citrinum has significant potential as a source of bioactive metabolites for drug discovery.

Item Type: Article
Subjects: A General Works > AI Indexes (General)
Depositing User: admin eprints
Date Deposited: 04 Jun 2026 15:27
Last Modified: 04 Jun 2026 15:27
URI: http://eprints.umsida.ac.id/id/eprint/16515

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