Research Keyword: mathematical modelling

Understanding and controlling filamentous growth of fungal cell factories: novel tools and opportunities for targeted morphology engineering

Fungi are used in industry to produce medicines, chemicals, and enzymes in large fermentation tanks. However, the way these fungal cells grow and clump together greatly affects how much product they make, but scientists don’t yet fully understand or control this growth. This review discusses new tools like genetic engineering, computer modelling, and special imaging techniques that are helping researchers better understand and control fungal growth patterns to improve industrial production.

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The Use of Predictive Microbiology for the Prediction of the Shelf Life of Food Products

Food companies need to know how long products stay fresh and safe to eat. This review explains different scientific methods for predicting when food will spoil based on microbial growth. It compares traditional mathematical models with newer computer-based machine learning approaches, showing that newer methods can be more accurate and efficient for determining how long foods can be stored safely.

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