ArticleScientific reports2026
Metabolic profiling and microbiological evaluation of Staphylococcus aureus in a poly-microbial system in soft white cheese.
Article in Scientific reports, 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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Abstract
There is a significant lack of data on microbial interactions in polymicrobial food systems. This study aimed to investigate the effects of Escherichia coli and Bacillus cereus on Staphylococcus aureus growth and metabolite production in soft white cheese, a food model. The growth dynamics of single and mixed cultures of these pathogens in various microbial systems were examined, including single, binary, and tertiary combinations. Gas chromatography-mass spectrometry (GC-MS) was used to analyze the metabolic profiles of these poly-microbial systems. Additionally, we assessed the impact of nisin/EDTA on the tertiary microbial system in soft white cheese and evaluated its microbiological safety and quality. All microbiological experiments were performed in triplicates and data expressed as mean ± Std (P < 0.05). The results showed that B. cereus growth was significantly reduced in binary (Bc -Sa) and tertiary (Bc- Sa-Ec) systems, with reductions of 95.91% (1.42 Log cycle) and 94.77% (1.4 Log cycle), respectively. E. coli growth was also reduced in binary (Ec- Sa) and tertiary (Bc- Sa-Ec) systems, with reductions of 66.67% (0.48 Log cycle) and 96.67% (1.48 Log cycle), respectively. S. aureus growth was inhibited by 54.17% (0.33 Log cycle), 79.17% (0.67 Log cycle), and 91.67% (1.07 Log cycle) in (Bc -Sa), (Bc- Sa-Ec), and (Ec- Sa) systems, respectively. GC-MS analysis revealed the presence of various metabolites, including hydroxyurea, methane nitroso, and pyridinium derivatives, with different ratios depending on the poly-microbial system. The addition of nisin/EDTA effectively reduced growth in both single and poly-microbial systems, and its application in soft white cheese enhanced microbiological safety and quality. Our findings suggest that studying microbial interactions and metabolite production in poly-microbial systems can inform the development of effective preservation methods that improve food safety and quality while enhancing sensory characteristics.
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