mathematical modeling

A Model-Driven Approach to Assessing the Fouling Mechanism in the Crossflow Filtration of Laccase Extract from Pleurotus ostreatus 202

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Scientists developed a method to purify laccase enzymes from oyster mushrooms using membrane filtration technology. They compared mathematical models to predict how membranes get clogged during filtration and found that using crossflow (tangential) filtration significantly reduces harmful clogging. Understanding these clogging patterns helps improve enzyme purification for use in industrial applications like textile processing and bioremediation.

Quantitative Characterization of Gene Regulatory Circuits Associated With Fungal Secondary Metabolism to Discover Novel Natural Products

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Scientists developed a special technology using tiny channels and fluorescent markers to understand how fungi control their genes that produce valuable compounds. By precisely measuring how different genes turn on and off in individual fungal cells, they can now predict and control when and how much of useful medicines and other bioactive molecules are made. They successfully used this knowledge to create new pathways that produce novel compounds, including new types of dendrobine molecules never seen before.

Protein kinase A signaling regulates immune evasion by shaving and concealing fungal β-1,3-glucan

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Candida albicans, a common fungal pathogen, uses a clever strategy to hide from the immune system by masking a molecule on its surface that would normally trigger an immune response. Researchers used both computer modeling and laboratory experiments to show that this hiding strategy involves two main processes: the fungus grows and exposes the molecule, while simultaneously using enzymes to shave it away. They found that a cellular signaling pathway called PKA is essential for activating these shaving enzymes in response to lactate, a signal from the host environment.

Modeling of mold inactivation via cold atmospheric plasma (CAP)

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Molds produce harmful substances called mycotoxins that damage food and buildings. Scientists developed a mathematical formula to predict how cold plasma can kill mold colonies. This model works faster than actual experiments and could help control mold in food storage and building materials without using toxic chemicals.

Modeling of mold inactivation via cold atmospheric plasma (CAP)

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This research develops a mathematical model to predict how cold atmospheric plasma kills mold, which is important because molds produce toxins that harm human and animal health and damage food and buildings. The model uses equations to describe mold growth and plasma effects, allowing researchers to predict outcomes in minutes rather than waiting weeks for lab experiments. The study found that plasma is most effective when its killing power matches the mold’s natural growth rate, causing complete extinction.

Modeling of mold inactivation via cold atmospheric plasma (CAP)

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This study presents a mathematical formula that predicts how quickly cold atmospheric plasma can kill mold on surfaces. Researchers tested the model using a common mold species and found that when plasma energy matched the mold’s natural growth rate, the mold died completely. The advantage of this approach is that scientists can now predict mold elimination in minutes using calculations instead of waiting weeks for laboratory experiments.

Protein kinase A signaling regulates immune evasion by shaving and concealing fungal β-1,3-glucan

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Candida albicans is a fungus that causes infections in humans. The fungus has developed a clever way to hide from our immune system by covering up a molecule on its surface called β-1,3-glucan that normally triggers immune responses. This study shows that the fungus masks this molecule through a combination of growing and dividing to create new surfaces, and then using enzymes to trim away exposed molecules. The research reveals that a specific cell signaling pathway controlled by lactate (a chemical found in our bodies) activates this masking behavior, helping the fungus evade immune recognition.

Inferring fungal growth rates from optical density data

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Scientists have developed a new mathematical method that allows doctors and lab technicians to measure fungal growth rates more accurately using simple optical density measurements. This approach doesn’t require expensive equipment or specialized knowledge, making it accessible to regular medical labs. The method could help doctors better assess how well antifungal drugs are working and detect resistant infections earlier.

Modeling of mold inactivation via cold atmospheric plasma (CAP)

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This research develops a mathematical model to predict how cold atmospheric plasma kills mold colonies on surfaces. Using experiments with Aspergillus brasiliensis, scientists found that when plasma treatment strength matches the mold’s natural growth rate, the mold stops growing and eventually dies. The model can provide predictions in minutes that would normally take weeks of laboratory testing, making it useful for food industry and building material applications.

Research Keyword: mathematical modeling