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.

An Overview of Physiologically-Based Pharmacokinetic Models for Forensic Science

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This review examines how mathematical models that predict how drugs and chemicals move through the body could be better used in forensic science to help explain cause of death and interpret toxicology evidence. Currently, only a few such models have been specifically developed for forensic purposes, though many exist for common drugs like opioids, cocaine, and alcohol. A major challenge is accounting for how drug concentrations change after death, which can make it harder to determine what the concentration was when the person died.

Mathematical Modeling of Escherichia coli and Lactobacillus acidophilus Growth Based on Experimental Mixed Batch Cultivation

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Researchers studied how two common bacteria – beneficial Lactobacillus acidophilus and harmful E. coli – interact when grown together in laboratory cultures. Using advanced flow cytometry techniques and computer models that track individual bacterial generations, they found that L. acidophilus naturally inhibits E. coli growth through production of lactic acid and antimicrobial compounds. This research provides insights useful for developing probiotic treatments and understanding food fermentation processes.

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.

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 Topic: mathematical modeling